Diabetes & Metabolism Journal

Original Articles

Cardiovascular Risk/Epidemiology
Association of Remnant Cholesterol Inflammation Index with Cardiovascular Risks and All-Cause Mortality in Individuals with Diabetes or Prediabetes: Qi-Lin Ma, Lei-Lei Du, Jia Peng; Diabetes Metab J. 2026;50(3):587-598. Published online October 2, 2025; DOI: https://doi.org/10.4093/dmj.2025.0305

8,333 View
260 Download
2 Web of Science
3 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Remnant cholesterol (RC) and low-grade inflammation are established contributors to cardiovascular disease (CVD) risks in diabetes. However, their combined prognostic impact remains unclear in dysglycemia. We evaluated the remnant cholesterol inflammation index (RCII), integrating RC and high-sensitivity C-reactive protein (hsCRP), for predicting mortality and CVD risks in diabetes/prediabetes.
Methods
This study included 2206 United States adults with diabetes/prediabetes from National Health and Nutrition Examination Survey 2015–2018. RCII was calculated as [RC (mg/dL)×hsCRP (mg/L)]/10. All-cause mortality was tracked via National Death Index until 2019; CVD risk was assessed cross-sectionally. Cox proportional hazard regression determined the hazard ratio (HR) and 95% confidence intervals (CIs) of RCII for all-cause mortality. Logistic regression models estimated the odds ratio (OR) and 95% CIs of RCII for CVD risks.
Results
For CVD risks, Q4 vs. Q1 demonstrated increased odds (OR, 2.32; 95% CI, 1.23 to 4.37), though per-standard deviation (SD) increments were non-significant (OR, 1.15; 95% CI, 0.98 to 1.35; P=0.083). During a median of 38 months follow-up, higher RCII quartiles showed graded associations with all-cause mortality (Q4 vs. Q1: HR, 2.45; 95% CI, 1.08 to 5.58; per 1-SD increase: HR, 1.21; 95% CI, 1.08 to 1.35). Restricted cubic splines confirmed dose-dependent relationships for CVD risks and all-cause mortality (all P=0.005 for overall). Subgroup analyses revealed consistent mortality associations but sex-specific CVD interactions (P=0.047 for interaction).
Conclusion
Our study found the RCII as a biomarker for predicting all-cause mortality and CVD risks in individuals with prediabetes or diabetes, highlighting the synergistic effects of RC and low-grade inflammation on adverse outcomes in this population and may facilitate early identification of individuals at heightened risk for CVD.

Citations

Citations to this article as recorded by

Association of remnant cholesterol inflammation index with future cardiovascular disease risk in patients with cardiovascular-kidney-metabolic syndrome stages 0–3
Nanshan Xie, Lihuan Zeng, Xiangming Hu, Zejia Wu, Weiling Lu, Songyuan Luo, Jianfang Luo
Diabetes Research and Clinical Practice.2026; 233: 113146. CrossRef
Association Between the Remnant Cholesterol Inflammation Index and Cardiac Syndrome X
İbrahim Aktaş, Erdoğan Yaşar, Kadir Uçkaç
Diagnostics.2026; 16(8): 1113. CrossRef
Remnant cholesterol inflammation index as a predictor of mortality in patients with acute decompensated heart failure: evidence from the Jiangxi, China cohort
Guoan Jian, Zhenyu Wang, Juan Wang, Houhui Lan, Kun Jiang, Zihao Lu, Guotai Sheng, Guobo Xie, Wei Wang, Yang Zou, Chunyuan Jiang
Frontiers in Endocrinology.2026;[Epub] CrossRef

Complications
Connection between Impaired Fasting Glucose or Type 2 Diabetes Mellitus and Sepsis: A 10-Year Observational Data from the National Health Screening Cohort: Eun Hwa Lee, Kyoung Hwa Lee, Kyu-na Lee, Yebin Park, Kyung Do Han, Sang Hoon Han; Diabetes Metab J. 2025;49(3):485-497. Published online February 17, 2025; DOI: https://doi.org/10.4093/dmj.2024.0387

5,802 View
166 Download
8 Web of Science
9 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
The mortality of sepsis without direct drugs is high. The association between prediabetes, based on a single fasting glucose (FG), or long-term type 2 diabetes mellitus (T2DM) and sepsis remains unclear.
Methods
Of the adults aged ≥20 years who were included in the National Health Screening Program (NHSP) in 2009, 40% were randomly sampled. After excluding patients with type 1 diabetes mellitus, with missing information, and who were diagnosed with sepsis during the wash-out (between 2001 and the NHSP) or 1-year lag period, a cohort comprised of 3,863,323 examinees. Body mass index (BMI) measurements, FG tests, and self-reported questionnaires on health-related behaviors were conducted. Individual information was followed up until 2020 and censored upon the first occurrence of sepsis or death. The incidence of sepsis was compared using a multivariable regression adjusted for age, sex, income, BMI, smoking, drinking, physical activity levels, and chronic diseases.
Results
The cohort was divided into those with normal FG (n=2,675,476), impaired fasting glucose (IFG) (n=890,402, 23.0%), T2DM <5 years (n=212,391, 5.5%), or T2DM for ≥5 years (n=85,054, 2.2%). The groups with IFG (adjusted hazard ratio [aHR], 1.03; 95% confidence interval [CI], 1.01 to 1.05), T2DM <5 years (aHR, 1.43; 95% CI, 1.40 to 1.47), and T2DM for ≥5 years (aHR, 1.82; 95% CI, 1.77 to 1.87) exhibited significantly higher incidence of sepsis (P<0.001), with the greatest risk in patients with T2DM aged <40 years (aHR, 1.96; 95% CI, 1.71 to 2.25).
Conclusion
Patients with long-standing and young-onset T2DM show a substantially high risk of sepsis, emphasizing the need for infection prevention and vaccination.

Citations

Citations to this article as recorded by

Association Between Blood Glucose Variability and Clinical Outcomes in Patients With Sepsis: A Systematic Review and Meta‐Analysis
Gelan Miao, Rui Lu, Tanyong Pipanmekaporn, Srisuluk Kacha, Atirut Supphapipat, Natsuda Phothikun, Phut Jewprasertpan, Kaweesak Chittawatanarat
Diabetes/Metabolism Research and Reviews.2026;[Epub] CrossRef
Simultaneous assessment of stress hyperglycemia ratio and glucose variability to predict all-cause mortality in sepsis patients across different glucose metabolic states: an observational cohort study with interpretable machine learning approach
Fuxu Wang, Yu Guo, Chucheng Jiao, Shuangmei Zhao, Liutao Sui, Zhi Mao, Ruogu Lu, Rongyao Hou, Xiaoyan Zhu
International Journal of Surgery.2026; 112(1): 1219. CrossRef
Forecasting diabetes and sepsis mortality trends using advanced time-series models in United States from 1999 to 2030
Gabriele Volucke, Brandon Xian Ch’ng, Moaz Ahmad, Syed Muhammad Ali Hassnain, Toqeer Ahmed, Khadija Khizar Khan, Obaid Ur Rahman, Rowena Rachel George, Mustafa Elhaj, Syed Anjum Gardezi, Muhammad Azhar Waheed Khan, Abdulqadir J. Nashwan, Eeshal Zulfiqar,
Journal of Diabetes & Metabolic Disorders.2026;[Epub] CrossRef
Prevalence and incidence of infections among people with type 2 diabetes: a systematic review and meta-analysis
Xue-Lei Fu, Wen-Jun Chen, Hui-Mei Zhao, Meng-Di Li, Meng-Yi Zhuang, Yang Xiao, Bei Wu, Jia Guo
Journal of Global Health.2026;[Epub] CrossRef
Prognostic nutritional index, Naples prognostic score and Osaka prognostic score as predictors of acute respiratory distress syndrome in non-diabetes mellitus patients with sepsis: a loss of predictive efficacy of NPS and OPS in diabetes mellitus cohorts
Jie Wu, Wenfeng Qiu, Xiuwen Lin, Jinrun Wu, Renyuan Li
Frontiers in Endocrinology.2026;[Epub] CrossRef
Development and Validation of a Nomogram for Predicting Sepsis Risk in Patients with Non-Ventilator Hospital-Acquired Pneumonia
Han Zhou, Zhenchao Wu, Beibei Liu, Yipeng Du, Rui Wu, Ning Shen
Biomedicines.2026; 14(5): 987. CrossRef
Plant-Based Diet and Risk of Sepsis: A 16-Year Follow-Up Study
Shaokang Xu, Ziqiao Fang, Xiaoke Kong, Jian Shi, Yiting Tang, Bin Zhao, Fang Fang, Jiaqi Huang, Ben Lu
Critical Care Medicine.2026;[Epub] CrossRef
Association between a Single-time Measurement of Fatty Liver Index and Occurrence of Sepsis among Individuals without Excessive Alcohol Consumption
Dayeong Kim, Sang Hoon Han, Eun Hwa Lee, Hye Seong, Kyu-na Lee, Yebin Park, Kyung-Do Han
Infection & Chemotherapy.2025; 57(3): 389. CrossRef
Impact of Diabetes on Clinical Characteristics and Prognosis in Sepsis: A Retrospective Study
Wen-Wen Han, Jian-Jiang Fang
Journal of Inflammation Research.2025; Volume 18: 13823. CrossRef

Cardiovascular Risk/Epidemiology
Prognostic Value of Plasma Endothelin-1 in Predicting Worse Outcomes in Patients with Prediabetes and Diabetes and Stable Coronary Artery Diseases: Cheng Yang, Cheng-Gang Zhu, Yuan-Lin Guo, Na-Qiong Wu, Qian Dong, Rui-Xia Xu, Yong-Jian Wu, Jie Qian, Jian-Jun Li; Diabetes Metab J. 2024;48(5):993-1002. Published online August 21, 2024; DOI: https://doi.org/10.4093/dmj.2023.0410

5,560 View
160 Download
7 Web of Science
8 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Endothelin-1 (ET-1) is an endogenous vasoconstrictor implicated in coronary artery disease (CAD) and diabetes. This study aimed to determine the prognostic value of ET-1 in the patients with stable CAD under different glucose metabolism states.
Methods
In this prospective, large-cohort study, we consecutively enrolled 7,947 participants with angiography-diagnosed stable CAD from April 2011 to April 2017. Patients were categorized by baseline glycemic status into three groups (normoglycemia, prediabetes, and diabetes) and further divided into nine groups by circulating ET-1 levels. Patients were followed for the occurrence of cardiovascular events (CVEs), including nonfatal myocardial infarction, stroke, and cardiovascular mortality.
Results
Of the 7,947 subjects, 3,352, 1,653, and 2,942 had normoglycemia, prediabetes, and diabetes, respectively. Over a median follow-up of 37.5 months, 381 (5.1%) CVEs occurred. The risk for CVEs was significantly higher in patients with elevated ET-1 levels after adjustment for potential confounders. When patients were categorized by both status of glucose metabolism and plasma ET-1 levels, the high ET-1 levels were associated with higher risk of CVEs in prediabetes (adjusted hazard ratio [HR], 2.089; 95% confidence interval [CI], 1.151 to 3.793) and diabetes (adjusted HR, 2.729; 95% CI, 1.623 to 4.588; both P<0.05).
Conclusion
The present study indicated that baseline plasma ET-1 levels were associated with the prognosis in prediabetic and diabetic patients with stable CAD, suggesting that ET-1 may be a valuable predictor in CAD patients with impaired glucose metabolism.

Citations

Citations to this article as recorded by

Endothelin-1 as dual marker for renal function decline and associated cardiovascular complications in patients with chronic kidney disease
Laura González-Rodríguez, Manuel Martí-Antonio, Sonia Mota-Zamorano, Celia Chicharro, Bárbara Cancho, Enrique Luna, Álvaro Álvarez, Zoraida Verde, Fernando Bandrés, Nicolás R Robles, Guillermo Gervasini
European Journal of Internal Medicine.2026; 144: 106542. CrossRef
Diagnostic Potential of Metabolomic and Proteomic Biomarkers in Cardiology—A Narrative Review
Lazzat Zhussupbekova, Dinara Nurkina, Gyulnar Zhussupova, Aliya Smagulova, Venera Rakhmetova, Elmira Akhmedyarova, Aisha Darybayeva, Klara Kurmangaliyeva, Ilya Kukes
Biomedicines.2026; 14(2): 257. CrossRef
Reduced abundance of Fusobacterium signifies cardiovascular benefits of sodium glucose cotransporter 2 inhibitor in type 2 diabetes: a single arm clinical trial
Shuhui Yang, Jiankun Deng, Xiaoxu Weng, Zhaojie Ma, Nie Lin, Yili Xiao, Rui Zuo, Yufei Hu, Canbin Zheng, Xiaoshan Zeng, Qimao Lin, Kaijian Hou
Frontiers in Pharmacology.2025;[Epub] CrossRef
Endothelin-1 and diabetes mellitus-induced erectile dysfunction: from pathogenesis to therapeutic potential
Hui Chen, Zixiang Gao, Xiangfa Lin, Huanan Zhang, Weidong Feng, Jiaqi Yang, Junlong Feng, Jisheng Wang, Bin Wang, Liang Han
Diabetes Research and Clinical Practice.2025; 226: 112352. CrossRef
The Role of Endothelin‐1, Kidney Function and Diabetes in Patients With Coronary Artery Disease Underwent Percutaneous Coronary Intervention
Zixiang Ye, Enmin Xie, Yuan Du, Wenjia Zhang, Kefei Dou
Journal of Diabetes.2025;[Epub] CrossRef
Chemerin Is the Adipokine Linked with Endothelin-Dependent Vasoconstriction in Human Obesity
Francesca Schinzari, Rossella Montenero, Carmine Cardillo, Manfredi Tesauro
Biomedicines.2025; 13(9): 2131. CrossRef
Potential Molecular Biomarkers for Predicting and Monitoring Complications in Type 2 Diabetes Mellitus
Zia Shariat-Madar, Fakhri Mahdi
Molecules.2025; 30(22): 4448. CrossRef
Modern insights into myocardial fibrosis: a comprehensive assessment by biochemical, epigenetic and imaging biomarkers
N.D. Pavliukovych, O.V. Pavliukovych
The Journal of V N Karazin Kharkiv National University series "Medicine".2025; : 1056. CrossRef

Review

Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association: Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Won Suk Choi, Min Kyong Moon, Committee of Clinical Practice Guidelines, Korean Diabetes Association; Diabetes Metab J. 2023;47(5):575-594. Published online September 26, 2023; DOI: https://doi.org/10.4093/dmj.2023.0282

35,474 View
2,084 Download
93 Web of Science
94 Crossref

Abstract PDF PubReader ePub

In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by

Glycemia Risk Index is Associated With Risk of Albuminuria Among Individuals With Type 1 Diabetes
Ji Yoon Kim, Jee Hee Yoo, Nam Hoon Kim, Jae Hyeon Kim
Journal of Diabetes Science and Technology.2026; 20(3): 775. CrossRef
Are U.S. Preventive Services Task Force Recommendations Effective? An Evaluation of the 2015 Prediabetes/Diabetes Recommendation
Frank A. Orlando, Rachel Liu-Galvin, Andrew M. Miller, Jihane Naous, Karyn M. Governale, Michael B. Tudeen, Siegfried O.F. Schmidt, Aaron A. Saguil, Arch G. Mainous
American Journal of Preventive Medicine.2026; 70(2): 108177. CrossRef
Addressing gaps in inpatient diabetes management: A call for integrated multidisciplinary approaches
Lu Zhang, Peng Zhang
European Journal of Internal Medicine.2026; 145: 106630. CrossRef
Sodium‐glucose cotransporter 2 inhibitor ameliorates thiazolidinedione‐induced fluid retention through vascular leakage reduction in white adipose tissue
Ji Yoon Kim, Hye‐Min Jang, Hye‐Jin Lee, Ah Hyeon Lee, Dong‐Hoon Kim, Sin Gon Kim, Nam Hoon Kim
Diabetes, Obesity and Metabolism.2026; 28(3): 1764. CrossRef
Maternal Pre-Pregnancy Glycemic Status and Developmental Outcomes in Korean Children Aged 18–36 Months: A Nationwide Population-Based Cohort Study (2014–2021)
Yeeun Han, Hye Won Park, Tae-Eun Kim, Sanghyun Park, Jinyoung Shin
Diabetes, Metabolic Syndrome and Obesity.2026; Volume 19: 1. CrossRef
Cardiovascular and renal outcomes of sodium–glucose cotransporter-2 versus dipeptidyl peptidase-4 inhibitors in patients with type 2 diabetes post-PCI: a meta-analysis of 14,511 patients
Ahmed Samy Badran, Mohamed Ibrahim Gbreel, Abdelrahman M. Tawfik, Mahmoud Balata
Diabetology & Metabolic Syndrome.2026;[Epub] CrossRef
Associations of Cardiocerebrovascular Risks and Exercise according to Menopausal Status in Women with Type 2 Diabetes Mellitus: A Nationwide Cohort Study
Ji-Hee Ko, Sun Joon Moon, Kyung-Do Han, Hye-Mi Kwon, Se-Eun Park, Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2026; 50(1): 101. CrossRef
Risk of end‐stage renal disease in Korean patients with type 2 diabetes according to cumulative low‐density lipoprotein cholesterol levels
Da‐Yeon Lee, Kyung‐Do Han, Ji‐Hee Ko, Han‐Na Jang, Sun Joon Moon, Hye‐Mi Kwon, Se‐Eun Park, Won‐Young Lee, Eun‐Jung Rhee
Journal of Diabetes Investigation.2026; 17(5): 810. CrossRef
Efficacy and Safety of Fixed‐Dose Combinations of Sitagliptin and Empagliflozin as Add‐On to Metformin in Korean Patients With Type 2 Diabetes: A Randomised, Double‐Blind, Multi‐Centre, Placebo‐Controlled, Phase III Trial
Soo Lim, Tae Nyun Kim, Ji Oh Mok, Choon Hee Chung, You Cheol Hwang, Ho Chan Cho, Jong Chul Won, Eonju Jeon, Eun Seok Kang, Ki Young Lee, Chong Hwa Kim, Soo Heon Kwak, Cheol Young Park, Kang Seo Park, Sang Yong Kim, Jae Hyuk Lee, Soon Hee Lee, Dong Hyeok C
Diabetes, Obesity and Metabolism.2026; 28(6): 4847. CrossRef
Glycemic Benefit of Insulin Degludec/Insulin Aspart Compared to Basal Insulin in Type 2 Diabetes Mellitus Associated with Impaired Glucagon-Like Peptide-1 Response: A Randomized Crossover Trial
Han Na Jang, Eun Shil Hong, Ye Seul Yang, Seong Ok Lee, Myoung-jin Jang, Andrea Mari, Soo Heon Kwak, Kyong Soo Park, Hak Chul Jang, Hye Seung Jung
Diabetes & Metabolism Journal.2026; 50(3): 552. CrossRef
Tooth Loss and Uncontrolled Diabetes Among Korean Adults With Type 2 Diabetes: Insights From the Korea National Health and Nutrition Examination Survey (KNHANES) 2014–2018
Eun Sik Lee, Gyu Bae Lee, Yusun Her, Koh Eun Shin, Kyung‐Hwan Cho, Kyungdo Han, Nai‐Wen Chang, Youngjun Lee, Byoungduck Han, Yang‐Hyun Kim
Clinical and Experimental Dental Research.2026;[Epub] CrossRef
Drug–Drug and Drug–Disease Interactions Across Antidiabetic Drug Classes: A Narrative Review and Practical Recommendations
Cristina-Elena Zbârcea, Cristian-Daniel Marineci, Andrei Văleanu, Cornel Chiriță, Oana-Cristina Șeremet
Diabetology.2026; 7(6): 108. CrossRef
Relationship between insulin resistance surrogate markers with diabetes and dyslipidemia: A Bayesian network analysis of Korean adults
Jaeyeop Choi, Jonghyun Kim, Hyun Sook Oh, Marwan Al-Nimer
PLOS One.2025; 20(5): e0323329. CrossRef
Educational Needs and Priorities of People with Diabetes and Healthcare Providers in South Korea: A Mixed-Methods Study
Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk
Journal of Transcultural Nursing.2025; 36(2): 195. CrossRef
Efficacy and safety of a fixed‐dose combination of dapagliflozin and linagliptin (AJU‐A51) in patients with type 2 diabetes mellitus: A multicentre, randomized, double‐blind, parallel‐group, placebo‐controlled phase III study
Jun Hwa Hong, Myung Jin Kim, Kyung Wan Min, Jong Chul Won, Tae Nyun Kim, Byung‐Wan Lee, Jun Goo Kang, Jae Hyeon Kim, Jung Hwan Park, Bon Jeong Ku, Chang Beom Lee, Sang Yong Kim, Ho Sang Shon, Woo Je Lee, Joong‐Yeol Park
Diabetes, Obesity and Metabolism.2025; 27(1): 81. CrossRef
1-Hour Postload Glucose: Early Screening for High Risk of Type 2 Diabetes in Koreans With Normal Fasting Glucose
Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Joo Yeon Kim, Su Hyun Kim, Dong Hee Kim, Dasol Kang, Sujin Park, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim, Mi Sook Yun, Yang Ho Kang
The Journal of Clinical Endocrinology & Metabolism.2025; 110(4): 1076. CrossRef
Management of Elderly Patients with Chronic Kidney Disease
Yohan Park, Won Min Hwang
Yonsei Medical Journal.2025; 66(2): 63. CrossRef
Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
Journal of Diabetes Investigation.2025; 16(2): 215. CrossRef
Short‐term efficacy and safety of metformin in individuals with type 2 diabetes and mild hepatic impairment: A propensity score‐matched real‐world study
Seunghwan Baek, Jongseok Park, Jae‐Yong Chung, Soo Heon Kwak, Seonghae Yoon
Diabetes, Obesity and Metabolism.2025; 27(3): 1580. CrossRef
Quality of Life in Women With Gestational Diabetes Mellitus and Treatment Satisfaction Upon Intermittently Scanned Continuous Glucose Monitoring
Sookyung Won, Hyeon Ji Kim, Jee Yoon Park, Kyung Joon Oh, Sung Hee Choi, Hak Chul Jang, Joon Ho Moon
Journal of Korean Medical Science.2025;[Epub] CrossRef
An anonymized, de-identified registry study protocol to determine the effectiveness and safety of weight loss with enavogliflozin in patients with type 2 diabetes mellitus
Hyunji Sang, Sunyoung Kim, Jiyoung Hwang, Selin Woo, Jaewon Kim, Dong Keon Yon, Sang Youl Rhee, Aleksandra Klisic
PLOS ONE.2025; 20(1): e0315603. CrossRef
Comparison of Clinical Outcomes Between Two Types of Dipeptidyl Peptidase-4 Inhibitors in Posttransplant Diabetes Mellitus in Kidney Transplantation Recipients: A Nationwide Population-Based Cohort Study in Korea
Keun young Lee, Ga young Song, Min jun Seo, Sung hwa Kim, Dae Ryong Kang, Keunryul Park, Ji Teck Kim, Sang Wook Park, Jun Young Lee
Transplantation Proceedings.2025; 57(2): 208. CrossRef
Effects of e-health literacy on health-related quality of life in young adults with type 2 diabetes: Parallel mediation of diabetes self-efficacy and self-care behaviors
Yura Jang, Youngran Yang
Applied Nursing Research.2025; 82: 151917. CrossRef
Effect of Glomerular Hyperfiltration on Incident Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus
Seung Min Chung, Inha Jung, Da Young Lee, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A. Seo, Kyung-Do Han, Nan Hee Kim
Clinical Journal of the American Society of Nephrology.2025; 20(3): 410. CrossRef
Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study
Sunyoung Kim, Jaeyu Park, Yejun Son, Hojae Lee, Selin Woo, Myeongcheol Lee, Hayeon Lee, Hyunji Sang, Dong Keon Yon, Sang Youl Rhee
JMIR Medical Informatics.2025; 13: e58107. CrossRef
Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review
Eun-Gee Park, Min Jung Kim, Jinseo Kim, Kichul Shin, Borim Ryu
Healthcare Informatics Research.2025; 31(1): 4. CrossRef
Blood pressure levels and risk of end-stage renal disease in patients with type 2 diabetes who underwent percutaneous coronary intervention: a nationwide population-based study
Hyunglae Kim, Yong-Moon Park, Seung-Hyun Ko, Yun-Jung Cho, Hyung Wook Kim, Yong Kyun Kim, Kyung-Do Han, Jae-Seung Yun, Kyuho Kim, Donggyu Moon
Scientific Reports.2025;[Epub] CrossRef
Study Design and Protocol for a Randomized Controlled Trial of Enavogliflozin to Evaluate Cardiorenal Outcomes in Type 2 Diabetes (ENVELOP)
Nam Hoon Kim, Soo Lim, In-Kyung Jeong, Eun-Jung Rhee, Jun Sung Moon, Ohk-Hyun Ryu, Hyuk-Sang Kwon, Jong Chul Won, Sang Soo Kim, Sang Yong Kim, Bon Jeong Ku, Heung Yong Jin, Sin Gon Kim, Bong-Soo Cha
Diabetes & Metabolism Journal.2025; 49(2): 225. CrossRef
An overview of insulin therapy for the non‐specialist
Philip D. Home
Diabetes, Obesity and Metabolism.2025; 27(S5): 3. CrossRef
Older Adults with Diabetes in Korea: Latest Clinical and Epidemiologic Trends
Kyuho Kim, Bongseong Kim, Kyuna Lee, Yu-Bae Ahn, Seung-Hyun Ko, Sung Hee Choi, Kyungdo Han, Jae-Seung Yun
Diabetes & Metabolism Journal.2025; 49(2): 183. CrossRef
Effectiveness of adding glucagon-like peptide-1 receptor agonist on diabetes complications and mortality among basal insulin-treated people with type 2 diabetes: A real-world Korean study
Kyoung Hwa Ha, Won Kim, Dong Han Kim, Dae Jung Kim
Journal of Diabetes and its Complications.2025; 39(5): 108983. CrossRef
Risk of Cardiovascular Disease According to the Precedence Relationship Between Hypertension and Diabetes Mellitus
Junhee Park, Kyungdo Han, Kyuna Lee, Yoosoo Chang, Dong Wook Shin
Healthcare.2025; 13(7): 796. CrossRef
Electrocardiographic Changes in Patients with Type 2 Diabetes Mellitus—A Meta-Analysis
Teodora-Gabriela Alexescu, Antonia Nechita, Paula Alexander, Mirela-Georgiana Perné, Mircea-Vasile Milaciu, George Ciulei, Ioana Para, Vasile Negrean, Ana-Florica Chiș, Doina-Adina Todea, Dan Vălean, Simina-Felicia Țărmure, Olga-Hilda Orășan
Journal of Mind and Medical Sciences.2025; 12(1): 14. CrossRef
Clinical Impact of Personalized Physician’s Education and Remote Feedback Via a Digital Platform on Glycemic Control: Pilot Randomized Controlled Trial
Jin Yu, Joonyub Lee, Yeoree Yang, Eun Young Lee, Seung-Hwan Lee, Jae-Hyoung Cho
JMIR mHealth and uHealth.2025; 13: e67151. CrossRef
Recent Updates on the Renoprotective Effects of Glucagon-Like Peptide 1 Receptor Agonists
Hong Sang Choi, Eun Hui Bae
The Korean Journal of Medicine.2025; 100(2): 61. CrossRef
Association between the body mass index and risk of cardiovascular events in sodium‐glucose cotransporter 2 inhibitor users compared with dipeptidyl‐peptidase 4 inhibitor users: A nationwide cohort study in Korea
Hwa Yeon Ko, Kyungyeon Jung, Yongtai Cho, Sungho Bea, Jae Hyun Bae, Young Min Cho, Sang Youl Rhee, Ju‐Young Shin
Diabetes, Obesity and Metabolism.2025; 27(7): 3869. CrossRef
Effectiveness and Safety of Oral Quadruple Combination Therapy in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis
Jaehyun Bae, Min Heui Yu, Minyoung Lee, Bong-Soo Cha, Byung-Wan Lee
Endocrinology and Metabolism.2025; 40(2): 258. CrossRef
Cholesterol and Cardiovascular Risk in Type 2 Diabetes: The Role of Kidney Function
Ji-Hyun Kim, Seung-Hwan Lee, Kyu Na Lee, Kyungdo Han, Mee Kyoung Kim
Journal of Lipid and Atherosclerosis.2025; 14(2): 190. CrossRef
Synergistic impact of serum uric acid and ferritin on MAFLD risk: A comprehensive cohort analysis
Miyeong Bae, Kwang Min Kim, Mi Hyeon Jin, Jeong-Hyun Yoon
Scientific Reports.2025;[Epub] CrossRef
Efficacy and safety of statins, ezetimibe, and fibrates monotherapy or combination therapy for hyperlipidemia: a systematic review and network meta-analysis
Shujie Zhang, Tingting Sun, Lina Song, Xiaodong Jin, Bo Li
European Journal of Medical Research.2025;[Epub] CrossRef
Collaboration between Medical Association and Patient Organizations to Overcome Rare Neurological Disorders
Ki Hoon Kim, Young Nam Kwon, Jun-Soon Kim, Sooyoung Kim, Seung Woo Kim, Kee Hong Park, Jin-Sung Park, Jeong Bin Bong, Jin Myoung Seok, Hung Youl Seok, Hye Lim Lee, Eunbin Cho, Byeoung-Jun Jeon, Seong-il Oh
Journal of Multiple Sclerosis and Neuroimmunology.2025; 16(1): 8. CrossRef
Association of metabolic dysfunction-associated steatotic liver disease and steatosis-associated fibrosis estimator with subclinical coronary atherosclerosis: observation cohort study
Joonho Jeong, Seungbong Han, Gyung-Min Park, Sangwoo Park, Young-Jee Jeon, Soyeoun Lim, Woon Jung Kwon, Seong Hoon Choi, Neung Hwa Park
Scientific Reports.2025;[Epub] CrossRef
Systematic Review of Nutritional Guidelines for the Management of Gestational Diabetes Mellitus: A Global Comparison
Angelo Sirico, Maria Giovanna Vastarella, Eleonora Ruggiero, Luigi Cobellis
Nutrients.2025; 17(14): 2356. CrossRef
Sodium-glucose transporter-2 inhibitor-associated severe diabetic ketoacidosis: a rare but serious complication
Sang Yong Kim
Medical Biological Science and Engineering.2025; 8(2): 99. CrossRef
Implementation of programs for early detection of type 2 diabetes mellitus and dispensary monitoring of patients with this disease in health care systems: international and national experience
O. M. Drapkina, A. A. Svishcheva, E. A. Lavrenova, R. N. Shepel
Primary Health Care (Russian Federation).2025; 2(2): 34. CrossRef
Impact of the WellCheck smartphone app linked to electronic health records on clinical outcomes in patients with type 2 diabetes: Study protocol for primary care-based, prospective, multicenter, cluster-randomized, pragmatic clinical trials
Hyunji Sang, Sunyoung Kim, Jiyoung Hwang, Selin Woo, Yerin Hwang, Jaewon Kim, Seohei Lee, Dong Keon Yon, Sang Youl Rhee, Hidetaka Hamasaki
PLOS One.2025; 20(8): e0329003. CrossRef
First-year oral antidiabetic adherence and long-term complications in newly diagnosed type 2 diabetes
Nam Hoon Kim, Jun Sung Moon, Kyoung Hwa Ha, Jihyun Kim, Kyoung-Eun Kwon, Sin Gon Kim, Dae Jung Kim
Diabetes Research and Clinical Practice.2025; 227: 112405. CrossRef
Cardiovascular Benefits of Glucagon-Like Peptide-1 Receptor Agonists
Phuc Nguyen Tran-Duc, Kyung-Sun Heo
CardioMetabolic Syndrome Journal.2025; 5(2): 45. CrossRef
Current Status of Continuous Glucose Monitoring Use in South Korean Type 1 Diabetes Mellitus Population–Pronounced Age-Related Disparities: Nationwide Cohort Study
Ji Yoon Kim, Seohyun Kim, Jae Hyeon Kim
Diabetes & Metabolism Journal.2025; 49(5): 1040. CrossRef
Cost-Effectiveness Analysis of Real-Time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in People With Type 2 Diabetes Treated With Non-Intensive Insulin Therapy in South Korea
Ji Yoon Kim, Sabrina Ilham, Hamza Alshannaq, Richard F. Pollock, Martin Field, Gregory J. Norman, Sang-Man Jin, Jae Hyeon Kim
Journal of Diabetes Science and Technology.2025;[Epub] CrossRef
Lipid Screening for Cardiovascular Risk in Youth: A Narrative Review of Current Guidelines and Potential Use of Nonfasting Measures
Reihane Taheri, Olivia Weaver, Jacqueline A. Krysa, Donna F. Vine, Michael Khoury, Spencer D. Proctor
CJC Pediatric and Congenital Heart Disease.2025;[Epub] CrossRef
Current Status of Delay in Injectable Therapy among Type 2 Diabetes Mellitus Patients in South Korea: Multicenter Retrospective Study (2015–2021)
Jong Han Choi, Min Kyong Moon, Hae Jin Kim, Kyung Ae Lee, Hyun Jin Kim, Jung Hae Ko, Jae-Seung Yun, Seung-Hyun Ko, Suk Chon, Nam Hoon Kim
Endocrinology and Metabolism.2025; 40(5): 727. CrossRef
Initial Pharmacological Strategies in People with Early Type 2 Diabetes Mellitus: A Systematic Review and Network Meta-Analysis
Jong Han Choi, Bo Kyung Koo, Ye Seul Yang, Se Hee Min, Jong Suk Park, Sang Youl Rhee, Hyun Jung Kim, Min Kyong Moon
Diabetes & Metabolism Journal.2025; 49(6): 1252. CrossRef
Comprehensive approaches to diabetes in the elderly: adapting to evolving trends
Jeongmin Lee, Kwang Joon Kim, Yang Sun Park, Yong-ho Lee, Kyeong Hye Park, Hee-Won Jung, Bong-Soo Cha, Hun-Sung Kim, Chang Oh Kim
The Korean Journal of Internal Medicine.2025; 40(6): 1017. CrossRef
Rosuvastatin Versus Atorvastatin for Cardiovascular Disease Risk in Patients with Type 2 Diabetes: A Korean Cohort Study
Chaeyoon Kim, Junhyuk Chang, Sujin Gan, Sohyeon Park, Kalynn Park, Hong-Ah Kim, Rae Woong Park, Sandy Jeong Rhie
Pharmaceuticals.2025; 18(12): 1860. CrossRef
Effect of glucagon-like peptide-1 receptor agonists on gastric mucosal visibility during upper endoscopy in Asian patients with diabetes
Young Eun Oh, Tae-Se Kim, Sang Ah Chi, Hyun Jung Park, Yang Won Min, Hyuk Lee, Jun Haeng Lee, Poong-Lyul Rhee, Jae J Kim, Byung-Hoon Min
World Journal of Diabetes.2025;[Epub] CrossRef
A single-center analysis of guideline-directed medical therapy in patients with heart failure with mildly reduced or preserved ejection fraction according to current heart failure guidelines
Bong-Joon Kim, Suhyun Bae, Soo-Jin Kim, Sung-Il Im, Jung-Ho Heo
Kosin Medical Journal.2025; 40(4): 280. CrossRef
Associations of Alcohol Consumption with All-Cause and Cancer Mortalities in Patients with Type 2 Diabetes Mellitus: A Nationwide Population Cohort Study
Da Yeon Lee, Sun-Joon Moon, Kyung-Do Han, Ji-Hee Ko, Han-na Jang, Hye-Mi Kwon, Se-Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinology and Metabolism.2025; 40(6): 893. CrossRef
Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
Metabolism.2024; 152: 155789. CrossRef
Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
In-Kyung Jeong
Journal of Lipid and Atherosclerosis.2024; 13(1): 80. CrossRef
Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
Diabetes Research and Clinical Practice.2024; 208: 111125. CrossRef
Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim
Clinical Hypertension.2024;[Epub] CrossRef
Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
The Journal of Clinical Endocrinology & Metabolism.2024; 109(12): e2317. CrossRef
Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
Rihwa Choi, Sang Gon Lee, Eun Hee Lee
Metabolites.2024; 14(3): 169. CrossRef
Fenofibrate to prevent amputation and reduce vascular complications in patients with diabetes: FENO-PREVENT
Eu Jeong Ku, Bongseong Kim, Kyungdo Han, Seung-Hwan Lee, Hyuk-Sang Kwon
Cardiovascular Diabetology.2024;[Epub] CrossRef
A self-powered and supercapacitive microneedle continuous glucose monitoring system with a wide range of glucose detection capabilities
Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
Biosensors and Bioelectronics.2024; 257: 116297. CrossRef
Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024; 26(7): 2567. CrossRef
SGLT2i impact on HCC incidence in patients with fatty liver disease and diabetes: a nation-wide cohort study in South Korea
Hyo Jung Cho, Eunyoung Lee, Soon Sun Kim, Jae Youn Cheong
Scientific Reports.2024;[Epub] CrossRef
The importance of diabetes mellitus in dental practice
Nina Dimitrijević-Jovanović, Hristina Ugrinović, Radomir Mitić, Nevena Kalezić
Galenika Medical Journal.2024; 3(9): 80. CrossRef
Evaluation of glycemic response of ten local meals commonly consumed from Chad
Zoufane Guedeungbe, Jean Paul Bayang, Benoît Bargui Koubala
Journal of Agriculture and Food Research.2024; 17: 101251. CrossRef
Glycemic Control and Oral Health Outcomes in Patients With Diabetes: Insights From a Nationwide Korean Survey
Song-Yi Yu, Sun-Kyung Lee, Bumhee Yang, Hyun Lee, Hyun Jeong Jeon, Dong-Hwa Lee
Journal of Korean Medical Science.2024;[Epub] CrossRef
Efficacy and safety of albiglutide, a once-weekly glucagon-like peptide-1 receptor agonist, in patients with type 2 diabetes: A systematic review and meta-analysis
A.B.M. Kamrul-Hasan, Deep Dutta, Lakshmi Nagendra, Saptarshi Bhattacharya, Rajiv Singla, Sanjay Kalra
Medicine.2024; 103(25): e38568. CrossRef
Longitudinal Analysis of Diabetes Mellitus Risk: Smoking Status and Smoking Cessation
Da-Eun Sung, Seung-Jae Lee, Mi-Yeon Lee, Eun-Jung Rhee, Ki-Chul Sung
Journal of Clinical Medicine.2024; 13(13): 3927. CrossRef
Current type 2 diabetes guidelines: Individualized treatment and how to make the most of metformin
Juliana C. N. Chan, Aimin Yang, Natural Chu, Elaine Chow
Diabetes, Obesity and Metabolism.2024; 26(S3): 55. CrossRef
Comprehensive management of polypharmacy in older patients with diabetes
Kang Seo Park, Hea Min Yu
Journal of the Korean Medical Association.2024; 67(7): 449. CrossRef
The Key Role of Nutritional Intervention in Delaying Disease Progression and the Therapeutic Management of Diabetic Kidney Disease—A Challenge for Physicians and Patients
Ileana Peride, Miruna Anastasiu, Silvia Alexandra Serban, Mirela Tiglis, Razvan Ene, Ana-Maria Nechita, Tiberiu Paul Neagu, Ionel Alexandru Checherita, Andrei Niculae
Journal of Personalized Medicine.2024; 14(8): 778. CrossRef
Efficacy and Safety of Pioglitazone Add-on in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin and Dapagliflozin: A Multicenter, Randomized, Double-blind, and Placebo-controlled Study
Yun Kyung Cho, Kyung-Soo Kim, Byung-Wan Lee, Jun Hwa Hong, Jae Myung Yu, Soo Lim, Ye An Kim, Chang Beom Lee, Sang Soo Kim, Soo Heon Kwak, Woo Je Lee
Clinical Therapeutics.2024; 46(9): 662. CrossRef
Islet transplantation in Korea
Joonyub Lee, Kun‐Ho Yoon
Journal of Diabetes Investigation.2024; 15(9): 1165. CrossRef
Effect of gout and diabetic kidney disease on renal cancer development in Korea
Seung Min Chung, Inha Jung, Da Young Lee, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim
Clinical Kidney Journal.2024;[Epub] CrossRef
Cardiovascular autonomic neuropathy and the risk of diabetic kidney disease
Injeong Cho, Seohyun Lim, Minjae Kwon, Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won
Frontiers in Endocrinology.2024;[Epub] CrossRef
Changes in serum uteroglobin level in type 2 diabetes mellitus patients
Joung Youl Lim, Sang-Hyeon Ju, Ji Min Kim, Hyon-Seung Yi, Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku, Kyong Hye Joung
Frontiers in Endocrinology.2024;[Epub] CrossRef
Sodium-glucose cotransporter 2 inhibitors in cardiocerebrovascular disease
Jin Joo Park
Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 103. CrossRef
Systematic review of guideline recommendations for older and frail adults with type 2 diabetes mellitus
Jennifer Bolt, Valeria Carvalho, Kristine Lin, Sung Ju Lee, Colleen Inglis
Age and Ageing.2024;[Epub] CrossRef
Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021
Seongju Kim, Dong Jun Kim, Hooyeon Lee, Dong Keon Yon
PLOS ONE.2024; 19(11): e0313988. CrossRef
Association of Uterine Leiomyoma with Type 2 Diabetes Mellitus in Young Women: A Population-Based Cohort Study
Ji-Hee Sung, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
Diabetes & Metabolism Journal.2024; 48(6): 1105. CrossRef
Combined impact of prediabetes and hepatic steatosis on cardiometabolic outcomes in young adults
Wonsuk Choi, Minae Park, Sojeong Park, Ji Yong Park, A Ram Hong, Jee Hee Yoon, Kyoung Hwa Ha, Dae Jung Kim, Hee Kyung Kim, Ho-Cheol Kang
Cardiovascular Diabetology.2024;[Epub] CrossRef
Diagnosis and treatment of gestational diabetes mellitus
Hyun Sun Ko, Yoon-Hee Choi
Journal of the Korean Medical Association.2024; 67(11): 686. CrossRef
Recent Advances in the Treatment of Diabetes in the Elderly
Ha-Kyoung Park, Hun-Sung Kim
Korean Journal of Geriatrics & Gerontology.2024; 25(3): 129. CrossRef
Management of Dyslipidemia in Patients with Diabetes Mellitus
Kyung Ae Lee
The Journal of Korean Diabetes.2023; 24(3): 111. CrossRef
2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
Junghyun Noh
The Journal of Korean Diabetes.2023; 24(3): 127. CrossRef
2023 Clinical Practice Guidelines for Diabetes
Min Kyong Moon
The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef
2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
Ye Seul Yang
The Journal of Korean Diabetes.2023; 24(3): 135. CrossRef
A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
Jong Han Choi
The Korean Journal of Medicine.2023; 98(6): 289. CrossRef
Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
Sung-Soo Kim, Hun-Sung Kim
Journal of Personalized Medicine.2023; 14(1): 42. CrossRef

Original Articles

Metabolic Risk/Epidemiology
Prediabetes Progression and Regression on Objectively- Measured Physical Function: A Prospective Cohort Study: Shanhu Qiu, Yiming Zhu, Bo Xie, Wenji Chen, Duolao Wang, Xue Cai, Zilin Sun, Tongzhi Wu; Diabetes Metab J. 2023;47(6):859-868. Published online August 23, 2023; DOI: https://doi.org/10.4093/dmj.2022.0377

6,338 View
181 Download
3 Web of Science
3 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Prediabetes leads to declines in physical function in older adults, but the impact of prediabetes progression or regression on physical function is unknown. This study assessed this longitudinal association, with physical function objectivelymeasured by grip strength, walking speed, and standing balance, based on the Health and Retirement Study enrolling United States adults aged >50 years.
Methods
Participants with prediabetes were followed-up for 4-year to ascertain prediabetes status alteration (maintained, regressed, or progressed), and another 4-year to assess their impacts on physical function. Weak grip strength was defined as <26 kg for men and <16 kg for women, slow walking speed was as <0.8 m/sec, and poor standing balance was as an uncompleted fulltandem standing testing. Logistic and linear regression analyses were performed.
Results
Of the included 1,511 participants with prediabetes, 700 maintained as prediabetes, 306 progressed to diabetes, and 505 regressed to normoglycemia over 4 years. Grip strength and walking speed were declined from baseline during the 4-year followup, regardless of prediabetes status alteration. Compared with prediabetes maintenance, prediabetes progression increased the odds of developing weak grip strength by 89% (95% confidence interval [CI], 0.04 to 2.44) and exhibited larger declines in grip strength by 0.85 kg (95% CI, –1.65 to –0.04). However, prediabetes progression was not related to impairments in walking speed or standing balance. Prediabetes regression also did not affect any measures of physical function.
Conclusion
Prediabetes progression accelerates grip strength decline in aging population, while prediabetes regression may not prevent physical function decline due to aging.

Citations

Citations to this article as recorded by

Changes in impaired physical function in older adults and the influences of physical activity: a population-based cohort study
Shanhu Qiu, Bo Xie, Zilin Sun, Xue Cai, Tongzhi Wu
BMC Geriatrics.2026;[Epub] CrossRef
Development of a scoring system for vitality capacity assessment in older adults: a population-based study
Xue Cai, Cuirong Xu, Zhiju Gu, Tongzhi Wu, Shanhu Qiu
European Geriatric Medicine.2025; 17(2): 1065. CrossRef
Cluster-based subgroups of prediabetes and its association with prediabetes progression and regression: a prospective cohort study
Yan Liu, Yu Liu, Min Zhang, Xinchen Wang, Xiaoying Zhou, Haijian Guo, Bei Wang, Duolao Wang, Zilin Sun, Shanhu Qiu
Acta Diabetologica.2024; 62(7): 1139. CrossRef

Complications
The Risk of Shoulder Adhesive Capsulitis in Individuals with Prediabetes and Type 2 Diabetes Mellitus: A Longitudinal Nationwide Population-Based Study: Jong-Ho Kim, Bong-Seoung Kim, Kyung-do Han, Hyuk-Sang Kwon; Diabetes Metab J. 2023;47(6):869-878. Published online August 23, 2023; DOI: https://doi.org/10.4093/dmj.2022.0275

15,160 View
331 Download
13 Web of Science
15 Crossref

Abstract PDF PubReader ePub

Background
This study aimed to investigate the association between type 2 diabetes mellitus (T2DM) and shoulder adhesive capsulitis (AC) using a large-scale, nationwide, population-based cohort in the Republic of Korea.
Methods
A total of 3,471,745 subjects aged over 20 years who underwent a National Health Insurance Service medical checkup between 2009 and 2010 were included in this study, and followed from the date of their medical checkup to the end of 2018. Subjects were classified into the following four groups based on the presence of dysglycemia and history of diabetes medication: normal, prediabetes, newly diagnosed T2DM (new-T2DM), and T2DM (claim history for antidiabetic medication). The endpoint was new-onset AC during follow-up. The incidence rates (IRs) in 1,000 person-years and hazard ratios (HRs) of AC for each group were analyzed using Cox proportional hazard regression models.
Results
The IRs of AC were 9.453 (normal), 11.912 (prediabetes), 14.933 (new-T2DM), and 24.3761 (T2DM). The adjusted HRs of AC in the prediabetes, new-T2DM, and T2DM groups were 1.084 (95% confidence interval [CI], 1.075 to 1.094), 1.312 (95% CI, 1.287 to 1.337), and 1.473 (95% CI, 1.452 to 1.494) compared to the normal group, respectively. This secular trend of the HRs of AC according to T2DM status was statistically significant (P<0.0001).
Conclusion
This large-scale, longitudinal, nationwide, population-based cohort study of 3,471,745 subjects confirmed that the risk of AC increases in prediabetic subjects and is associated with T2DM status.

Citations

Citations to this article as recorded by

The Association Between Type 2 Diabetes Mellitus and Frozen Shoulder: Expert Insights on Developing a Screening Tool
Anirban Majumdar, Voleti S. Nagesh, Rakesh K. Sahay, Nilanjan Sengupta, Debmalya Sanyal, Griddaluru V. Chanukya, Rana Bhattacharjee, Amit Goel, Raman Boddula, Sudhakar R. Pendyala, Amitabh Sur
Indian Journal of Endocrinology and Metabolism.2026; 30(1): 20. CrossRef
The diabetic shoulder: association between diabetes mellitus and adhesive capsulitis — a systematic review and meta-analysis
Philippe Hernigou, Marius M. SCARLAT
International Orthopaedics.2026; 50(4): 839. CrossRef
Higher body mass index increases the risk of shoulder adhesive capsulitis in young adults: a nationwide cohort study
Jong-Ho Kim, Jae-Yoon Baek, Kyung-Do Han, Bong-Seoung Kim, Hyuk-Sang Kwon
Journal of Shoulder and Elbow Surgery.2025; 34(1): 26. CrossRef
Classification of shoulder diseases in older adult patients: a narrative review
Hyo-Jin Lee, Jong-Ho Kim
The Ewha Medical Journal.2025;[Epub] CrossRef
Type 2 diabetes, metabolic health, and the development of frozen shoulder: a cohort study in UK electronic health records
Brett P. Dyer, Claire Burton, Trishna Rathod-Mistry, Miliça Blagojevic-Bucknall, Danielle A. van der Windt
BMC Musculoskeletal Disorders.2025;[Epub] CrossRef
Clinical Practice Guidelines for Diagnosis and Non-Surgical Treatment of Primary Frozen Shoulder
Byung Chan Lee, Beom Suk Kim, Byeong-Ju Lee, Chang-Won Moon, Chul-Hyun Park, Dong Hwan Kim, Dong Hwan Yun, Donghwi Park, Doo Young Kim, Du Hwan Kim, Gi-Wook Kim, Hyun Jung Kim, Il-Young Jung, In Jong Kim, Jae Hyeon Park, Jae-Hyun Lee, Jaeki Ahn, Jae-Young
Annals of Rehabilitation Medicine.2025; 49(3): 113. CrossRef
Clinical Practice Guidelines for Diagnosis and Non-Surgical Treatment of Primary Frozen Shoulder
Byung Chan Lee, Gi-Wook Kim, Keewon Kim, Nackhwan Kim, Dong Hwan Kim, Doo Young Kim, Du Hwan Kim, Beom Suk Kim, Seong Hun Kim, In Jong Kim, Hyun Jung Kim, Yoonju Na, Kyung Eun Nam, Sung Gyu Moon, Chang-Won Moon, Kyunghoon Min, Donghwi Park, Myung Woo Park
Clinical Pain.2025; 24(1): 1. CrossRef
Association between diabetes mellitus and adhesive capsulitis of shoulder: A 2-sample Mendelian randomization study
Wenqiang Li, Jing Lou, Weizhong Huangfu, Dezhi Han
Medicine.2025; 104(35): e44119. CrossRef
Clinical efficacy of manipulation under brachial plexus block anesthesia for primary adhesive capsulitis of shoulder: a retrospective cohort study
Haiyan Zhou, Liming Cheng
Frontiers in Surgery.2025;[Epub] CrossRef
Impacts of preoperative anxiety and depression on pain and range of motion after arthroscopic frozen shoulder release: a cohort study
Yahia Haroun, Ahmed Saeed Younis, Wessam Fakhery Ebied, Mohamed Amr Hemida, Ahmed H. Khater
International Orthopaedics.2024; 48(8): 2113. CrossRef
Subdiaphragmatic phrenic nerve supply: A systematic review
María Pérez-Montalbán, Encarna García-Domínguez, Ángel Oliva-Pascual-Vaca
Annals of Anatomy - Anatomischer Anzeiger.2024; 254: 152269. CrossRef
Effects of moderate physical activity on diabetic adhesive capsulitis: a randomized clinical trial
Raheela Kanwal Sheikh, Amna Toseef, Aadil Omer, Anam Aftab, Muhammad Manan Haider Khan, Saeed Bin Ayaz, Omar Althomli, Aisha Razzaq, Samra Khokhar, Nazia Jabbar, Waqar Ahmed Awan
PeerJ.2024; 12: e18030. CrossRef
A Narrative Review of Adhesive Capsulitis with Diabetes
Mu-Her Chen, Wen-Shiang Chen
Journal of Clinical Medicine.2024; 13(19): 5696. CrossRef
Sub‐Acromioclavicular Decompression Increases the Risk of Postoperative Shoulder Stiffness after Arthroscopic Rotator Cuff Repair
Cheng Li, Zhiling Wang, Maslah Idiris Ali, Yi Long, Ymuhanmode Alike, Min Zhou, Dedong Cui, Zhenze Zheng, Ke Meng, Jingyi Hou, Rui Yang
Orthopaedic Surgery.2024; 16(12): 2942. CrossRef
A comprehensive scoring system for the diagnosis and staging of adhesive capsulitis: development, application, and implications
Fabio Vita, Danilo Donati, Roberto Tedeschi, Marco Miceli, Paolo Spinnato, Flavio Origlio, Enrico Guerra, Marco Cavallo, Salvatore Massimo Stella, Luigi Tarallo, Giuseppe Porcellini, Stefano Galletti, Cesare Faldini
European Journal of Orthopaedic Surgery & Traumatology.2024; 34(8): 4113. CrossRef

Review

Guideline/Fact Sheet
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022: Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon, on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association; Diabetes Metab J. 2022;46(6):819-826. Published online November 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0364

11,700 View
341 Download
15 Web of Science
17 Crossref

Abstract PDF PubReader ePub

Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.

Citations

Citations to this article as recorded by

Sarcopenic obesity increases the risk of falls in early-onset type 2 diabetes
Xiaoyuan Chen, Yongze Zhang, Biao Zheng, Ximei Shen, Lingning Huang, Fengying Zhao, Sunjie Yan
Journal of Endocrinological Investigation.2026; 49(6): 1359. CrossRef
A correlation analysis between TyG-derived indices and diabetes mellitus: based on the NHANES database
Xiaohua Yang, Zhuojing Cheng, Ting Sun
Endocrine Journal.2026; 73(2): 205. CrossRef
Graves’ Disease and the Risk of Type 2 Diabetes: A Korean Population-Based Study
Yoon Young Cho, Bongseong Kim, Sang-Man Jin, Chan-Hee Jung, Ji Oh Mok, Sun Wook Kim, Jae Hoon Chung, Kyung-Do Han, Tae Hyuk Kim
Thyroid®.2025; 35(1): 60. CrossRef
Workplace‐based continuous glucose monitoring with structured education for pre‐diabetes and type 2 diabetes: A prospective community cohort study
Ji‐Hee Ko, Sun‐Joon Moon, Ramzi A. Ajjan, Mi Yeon Lee, Hae‐Jeong Lee, Boram Choi, JiYeon Park, Seung‐Eun Lee, Jae‐Hyeon Kang, Cheol‐Young Park
Diabetes, Obesity and Metabolism.2025; 27(6): 2996. CrossRef
Longitudinal insights into the natural history of Type 2 diabetes among Koreans: A 20‐year community‐based prospective cohort study
Wonsuk Choi, Joon Ho Moon, Hun Jee Choe, Howard H. Chang, Dimple Kondal, K. M. Venkat Narayan, Nam H. Cho
Journal of Internal Medicine.2025; 298(4): 336. CrossRef
Oxidative Balance Score and New-Onset Type 2 Diabetes Mellitus in Korean Adults without Non-Alcoholic Fatty Liver Disease: Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) Cohort
Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
Antioxidants.2024; 13(1): 107. CrossRef
Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
Diabetes Therapy.2024; 15(2): 547. CrossRef
Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
Diabetes Research and Clinical Practice.2024; 210: 111640. CrossRef
Association of sleep fragmentation with general and abdominal obesity: a population-based longitudinal study
Yu-xiang Xu, Shan-shan Wang, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Ying Sun
International Journal of Obesity.2024; 48(9): 1258. CrossRef
Oxidative balance score as a useful predictive marker for new-onset type 2 diabetes mellitus in Korean adults aged 60 years or older: The Korean Genome and Epidemiologic Study–Health Examination (KoGES-HEXA) cohort
Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
Experimental Gerontology.2024; 193: 112475. CrossRef
The optimal dose of metformin to control conversion to diabetes in patients with prediabetes: A meta-analysis
Xiaoyan Yi, Yongliang Pan, Huan Peng, Mengru Ren, Qin Jia, Bing Wang
Journal of Diabetes and its Complications.2024; 38(10): 108846. CrossRef
Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures
Kyoung Hwa Ha, Dae Jung Kim
Endocrinology and Metabolism.2024; 39(5): 669. CrossRef
Development and validation of machine learning models to predict prediabetes using dietary intake data in young adults in Korea: a cross-sectional study
Myoung-Lyun Heo
Journal of Korean Biological Nursing Science.2024; 26(4): 300. CrossRef
Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
Diabetes Research and Clinical Practice.2023; 197: 110562. CrossRef
Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
Jun Sung Moon
The Journal of Korean Diabetes.2023; 24(1): 1. CrossRef
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
Diabetes & Metabolism Journal.2023; 47(5): 575. CrossRef
2023 Clinical Practice Guidelines for Diabetes
Min Kyong Moon
The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef

Original Article

Cardiovascular Risk/Epidemiology
Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations: Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang; Diabetes Metab J. 2022;46(2):273-285. Published online September 9, 2021; DOI: https://doi.org/10.4093/dmj.2021.0054

66,163 View
285 Download
7 Web of Science
7 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Risk assessment tools have been actively studied, and they summarize key predictors with relative weights/importance for a disease. Currently, standardized screening scores for type 2 diabetes mellitus (DM) and chronic kidney disease (CKD)—two key global health problems—are available in United States and Korea. We aimed to compare and evaluate screening scores for DM (or combined with prediabetes) and CKD, and assess the risk in contemporary United States and Korean populations.
Methods
Four (2×2) models were evaluated in the United States-National Health and Nutrition Examination Survey (NHANES 2015–2018) and Korea-NHANES (2016–2018)—8,928 and 16,209 adults. Weighted statistics were used to describe population characteristics. We used logistic regression for predictors in the models to assess associations with study outcomes (undiagnosed DM and CKD) and diagnostic measures for temporal and cross-validation.
Results
Korean adult population (mean age 47.5 years) appeared to be healthier than United States counterpart, in terms of DM and CKD risks and associated factors, with exceptions of undiagnosed DM, prediabetes and prehypertension. Models performed well in own country and external populations regarding predictor-outcome association and discrimination. Risk tests (high vs. low) showed area under the curve >0.75, sensitivity >84%, specificity >45%, positive predictive value >8%, and negative predictive value >99%. Discrimination was better for DM, compared to the combined outcome of DM and prediabetes, and excellent for CKD due to age.
Conclusion
Four easy-to-use screening scores for DM and CKD are well-validated in contemporary United States and Korean populations. Prevention of DM and CKD may serve as first-step in public health, with these self-assessment tools as basic tools to help health education and disparity.

Citations

Citations to this article as recorded by

Development and validation of early-stage and progression prediction models for chronic kidney disease: a retrospective study
Tongyuan Wan, Qi Chen, Yiming Gao, Renli Luo, Nan Li, Yonghui Feng
PeerJ.2026; 14: e20931. CrossRef
Prevalence of undiagnosed hypertension and risk assessment using a validated survey in community-based screening in Amman, Jordan
Anas Khaleel, Malak Al-Quaiti, Sara Istaitiya, Abhijit V. Kshirsagar, Heejung Bang, Nour Amin Elsahoryi
PLOS One.2026; 21(3): e0345013. CrossRef
Global, Regional, and National Temporal Trends in Incidence for Type 2 Diabetes Mellitus Related Chronic Kidney Disease from 1992 to 2021
Yu Cao, Huiting Chen, Hui Liu, Hao Wu, Wei Gao
Diabetes & Metabolism Journal.2025; 49(4): 848. CrossRef
The role of iron biomarkers in predicting type 2 Diabetes: An international, multi-cohort Study
Farnaz Khatami, Pien Rawee, Vlada Hanchar, Martin H. de Borst, Stephan J.L. Bakker, Milton Severo, Henrique Barros, Michele F. Eisenga, Taulant Muka, Pedro Marques-Vidal
Primary Care Diabetes.2025; 19(5): 462. CrossRef
A meta‐analysis of diabetes risk prediction models applied to prediabetes screening
Yujin Liu, Sunrui Yu, Wenming Feng, Hangfeng Mo, Yuting Hua, Mei Zhang, Zhichao Zhu, Xiaoping Zhang, Zhen Wu, Lanzhen Zheng, Xiaoqiu Wu, Jiantong Shen, Wei Qiu, Jianlin Lou
Diabetes, Obesity and Metabolism.2024; 26(5): 1593. CrossRef
Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease
Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Chuan-Kai Yang, Jongtae Rhee, Muhammad Anshari
Mathematics.2023; 11(10): 2266. CrossRef
A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
Mathematics.2022; 10(21): 4027. CrossRef

Brief Report

Metabolic Risk/Epidemiology
Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial: Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko; Diabetes Metab J. 2021;45(6):960-965. Published online March 17, 2021; DOI: https://doi.org/10.4093/dmj.2020.0225

10,998 View
194 Download
13 Web of Science
14 Crossref

Graphical Abstract Abstract PDF PubReader ePub

The aims of this study were to determine the short-term effectiveness of an internet-based lifestyle modification (LSM) program in preventing the onset of type 2 diabetes mellitus (T2DM) in prediabetes patients in community settings. A total of 415 subjects who were diagnosed with prediabetes were randomly assigned to the LSM and standard management (SM) groups. After the 6-month intervention, the LSM group had a statistically significant reduction in body weight, body mass index compared to the SM group participants. In the LSM group, blood glucose levels were significantly decreased after intervention and the clinical improvement effect was evident in the group that achieved the target weight loss of 5% or more of the initial weight for 6 months. Internet-based 6-month-intensive LSM programs conducted by public health center personnel are an effective way to provide lifestyle intervention programs and encourage maintenance of healthy behaviors in subjects with a high risk of T2DM in community settings.

Citations

Citations to this article as recorded by

The Effectiveness of Digital Health Lifestyle Interventions on Weight Loss in People With Prediabetes: A Systematic Review, Meta-Analysis, and Meta-Regression
Tanja Fredensborg Holm, Flemming Witt Udsen, Iben Engelbrecht Giese, Kristine Færch, Morten Hasselstrøm Jensen, Bernt Johan von Scholten, Stine Hangaard
Journal of Diabetes Science and Technology.2026; 20(2): 419. CrossRef
A digital health-supported community pharmacy-based lifestyle intervention program for overweight or obese adults with prediabetes, the PRediabetes Intervention, Management and Evaluation (PRIME) Program: A cluster randomized controlled trial
Kah Woon Teoh, Choon Ming Ng, Chun Wie Chong, Yi Ling Ng, J Simon Bell, Shaun Wen Huey Lee
Research in Social and Administrative Pharmacy.2026; 22(2): 272. CrossRef
Application of the Omaha System-Based Continuous Care Model in Diabetes Health Management for Outpatients within the Framework of “Internet +”
Ying Chen, Xia Yan, Jianjun Liu, Zhengxia Bian, Li Yan
British Journal of Hospital Medicine.2025; 86(1): 1. CrossRef
Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review
Tuan Duong, Quita Olsen, Anish Menon, Leanna Woods, Wenyong Wang, Marlien Varnfield, Lee Jiang, Clair Sullivan
Journal of Medical Internet Research.2025; 27: e67507. CrossRef
2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
Diabetes & Metabolism Journal.2025; 49(4): 582. CrossRef
Application of Behavioral Science in Digital Therapeutics for Individuals With Prediabetes: Scoping Review
Zhuyanyang Pan, Xueli Li, Qiaoyuan Yan, Na Zeng
Journal of Medical Internet Research.2025; 27: e78891. CrossRef
Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis
Teketo Kassaw Tegegne, Desalegn Markos Shifti, Jonathan Charles Rawstorn, Paul Jansons, Yuxin Zhang, Reza Daryabeygikhotbehsara, Sheikh Mohammed Shariful Islam, Ralph Maddison
Health Policy and Technology.2024; 13(3): 100879. CrossRef
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes
Hanbin Guo, Yibiao Xiao, Canlin Liao, Jiating Sun, Yanchun Xie, Yitong Zheng, Guanhua Fan
Frontiers in Endocrinology.2023;[Epub] CrossRef
Innovation in diabetes prevention research: The 36-year legacy of China Da Qing diabetes prevention study
Xin Chai, Yachen Wang, Jinping Wang, Qiuhong Gong, Juan Zhang, Ruitai Shao
Chinese Science Bulletin.2023; 68(28-29): 3834. CrossRef
Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
Journal of Medical Internet Research.2022; 24(7): e37430. CrossRef
Prevention of type 2 diabetes through remotely administered lifestyle programs: A systematic review
Valaree Villegas, Alisha Shah, JoAnn E. Manson, Deirdre K. Tobias
Contemporary Clinical Trials.2022; 119: 106817. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
Diabetes & Metabolism Journal.2021; 45(4): 461. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Seung-Hyun Ko
The Journal of Korean Diabetes.2021; 22(4): 244. CrossRef

Original Articles

Technology/Device
Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort: Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang; Diabetes Metab J. 2021;45(4):515-525. Published online February 25, 2021; DOI: https://doi.org/10.4093/dmj.2020.0081

14,549 View
338 Download
14 Web of Science
12 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub

Background
Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited performance. We developed a deep learning (DL) based model using a cohort representative of the Korean population.
Methods
This study was conducted on the basis of the National Health Insurance Service-Health Screening (NHIS-HEALS) cohort of Korea. Overall, 335,302 subjects without T2DM at baseline were included. We developed the model based on 80% of the subjects, and verified the power in the remainder. Predictive models for T2DM were constructed using the recurrent neural network long short-term memory (RNN-LSTM) network and the Cox longitudinal summary model. The performance of both models over a 10-year period was compared using a time dependent area under the curve.
Results
During a mean follow-up of 10.4±1.7 years, the mean frequency of periodic health check-ups was 2.9±1.0 per subject. During the observation period, T2DM was newly observed in 8.7% of the subjects. The annual performance of the model created using the RNN-LSTM network was superior to that of the Cox model, and the risk factors for T2DM, derived using the two models were similar; however, certain results differed.
Conclusion
The DL-based T2DM prediction model, constructed using a cohort representative of the population, performs better than the conventional model. After pilot tests, this model will be provided to all Korean national health screening recipients in the future.

Citations

Citations to this article as recorded by

Interpretable time-series neural turing machine for prognostic prediction of patients with type 2 diabetes in physician-pharmacist collaborative clinics
Jie Xiao, Bin Chen, Lei Chen, Qing Wang, Shenglan Tan, Haiyan Yuan, Daxiong Xiang, Bikui Zhang, Xia Li, Shuting Huang, Yuhan Tan, Yining Cheng, Wenzheng Xie, Ping Xu
International Journal of Medical Informatics.2025; 195: 105737. CrossRef
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study
Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon
eClinicalMedicine.2025; 80: 103069. CrossRef
Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches
Hossein Sadr, Mojdeh Nazari, Zeinab Khodaverdian, Ramyar Farzan, Shahrokh Yousefzadeh-Chabok, Mohammad Taghi Ashoobi, Hossein Hemmati, Amirreza Hendi, Ali Ashraf, Mir Mohsen Pedram, Meysam Hasannejad-Bibalan, Mohammad Reza Yamaghani
European Journal of Medical Research.2025;[Epub] CrossRef
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
Imran Rehan, Mujeeb Ur Rehman
Biomedical Physics & Engineering Express.2025; 11(6): 065016. CrossRef
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Hyunji Sang, Hojae Lee, Myeongcheol Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Masoud Rahmati, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
Scientific Reports.2024;[Epub] CrossRef
The Applicability of Some Machine Learning Algorithms in the Prediction of Type 2 Diabetes
Oana Vîrgolici, Laura Gabriela Tănăsescu
Proceedings of the International Conference on Business Excellence.2024; 18(1): 246. CrossRef
Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study
Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
Journal of Medical Internet Research.2024; 26: e56922. CrossRef
Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study
Ji Hye Huh, Eun Roh, Seong Jin Lee, Sung-Hee Ihm, Kyung-Do Han, Jun Goo Kang
Diabetes Care.2023; 46(2): 305. CrossRef
A scoping review of artificial intelligence-based methods for diabetes risk prediction
Farida Mohsen, Hamada R. H. Al-Absi, Noha A. Yousri, Nady El Hajj, Zubair Shah
npj Digital Medicine.2023;[Epub] CrossRef
Development of Various Diabetes Prediction Models Using Machine Learning Techniques
Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
Diabetes & Metabolism Journal.2022; 46(4): 650. CrossRef
Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
Diagnostics.2022; 12(8): 1967. CrossRef
Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
Journal of Personalized Medicine.2022; 12(11): 1899. CrossRef

Metabolic Risk/Epidemiology
Level of Organochlorine Pesticide in Prediabetic and Newly Diagnosed Diabetes Mellitus Patients with Varying Degree of Glucose Intolerance and Insulin Resistance among North Indian Population: Shipra Tyagi, Brijesh Kumar Mishra, Tusha Sharma, Neha Tawar, Abdul Jamil Urfi, Basu Dev Banerjee, Sri Venkata Madhu; Diabetes Metab J. 2021;45(4):558-568. Published online January 15, 2021; DOI: https://doi.org/10.4093/dmj.2020.0093

10,146 View
194 Download
20 Web of Science
25 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
Organochlorine pesticides (OCPs) exposure may induce an endocrine disruption which may lead to the risk of developing diabetes through alteration and disturbance of glucose metabolism, insulin resistance, and destruction of β-cells. The present study determines the recent trend of OCPs residue in blood samples and their association with the known risk factors responsible for developing the risk of diabetes among the North Indian population.
Methods
Blood sample of 300 patients (100 each of normal glucose tolerance [NGT], prediabetes and newly detected diabetes mellitus [DM]) between the age group of 30 to 70 years were collected. OCPs residue in whole blood samples was analyzed by using gas chromatography equipped with a ⁶³Ni selective electron capture detector.
Results
Significantly higher levels of β-hexachlorocyclohexane (HCH), dieldrin, and p,p’-dichloro-diphenyl-dichloroethylene (DDE) were found in the prediabetes and newly detected DM groups as compared to NGT group. Insulin resistance showed to be significantly positive correlation with β-HCH and dieldrin. Also, fasting and postprandial glucose levels were significantly positively correlated with levels of β-HCH, dieldrin, and p,p’-DDE. Further, when OCPs level was adjusted for age and body mass index (BMI), it was found that β-HCH, dieldrin, and p,p’-DDE levels in blood increases the risk of diabetes by 2.70, 2.83, and 2.55 times respectively. Moreover, when we adjust OCPs level based on BMI categories (BMI <23, ≥23, and ≤25, and >25 kg/m²); β-HCH and p,p’-DDE showed a significant risk of developing newly detected DM with BMI >25 and ≥23 and ≤25 kg/m².
Conclusion
The OCPs level present in the environment may be responsible for biological, metabolic, and endocrine disruptions within the human body which may increase the risk of developing newly detected DM. Hence, OCPs exposure can play a crucial role in the etiology of diabetes.

Citations

Citations to this article as recorded by

Serum PCBs, OCPs, PBDEs and PCAs: Associations with metabolic syndrome risk factors in the Flemish Gut Flora Project cohort
Adam Cseresznye, Fatima den Ouden, Yu Ait Bamai, Liesa Engelen, Elias Maris, Ellen De Paepe, Giulia Poma, Muriel Derrien, Arnau Vich Vila, Sebastian Proost, Lindsey de Commer, Chloe Verspecht, Lindsay Devolder, Sara Vieira-Silva, Gwen Falony, Lieselot Y.
Environmental Research.2026; 296: 124068. CrossRef
Endocrine Society of India’s National White Paper on Endocrine Disrupting Chemicals – A Call for Action
Gagan Priya, Narendra Kotwal, Sri V. Madhu, Shinjan Patra, Kaushik Pandit, Beatrice Anne, Mohan T. Shenoy, Jayshree Swain, Sambit Das, Lakshmi N. Kopalle, Lakshmi Nagendra, Saptarshi Bhattacharya, Shehla S. Shaikh, Sunetra Mondal, Ganesh K. Bhat, Ameya Jo
Indian Journal of Endocrinology and Metabolism.2026; 30(1): 4. CrossRef
Multiple pesticide exposure and impaired glucose regulation in U.S. non-diabetic population
Xingdi Zhu, Congxin Chen, Qi Liu, Zhihong Zhu, Xiaoli Wu, Yuqing Zhang
Environmental Pollution.2025; 366: 125519. CrossRef
Nano-interface enhanced electrochemical sensing of hazardous organochlorine pesticides and prospects with ZnO based nanomaterials
Pritymala Basumatary, Karen Das, Priyanka Kakoty
Talanta.2025; 287: 127598. CrossRef
Chronic exposure to organochlorine pesticide mixture induces type 2 diabetes mellitus-associated metabolic dysregulation in C57BL/6J mice
Chul-Min Park, Laxmi Sen Thakuri, Hyojin Lee, Jin Woo Park, Ki-Tae Kim, Dong Young Rhyu
Chemico-Biological Interactions.2025; 418: 111621. CrossRef
Association Between Pesticide Exposure and Type 2 Diabetes Mellitus Among Female Farmers: A Cross-Sectional Study
Wulan Masyithah, Onny Setiani, Yusniar Hanani Darundiati, Mursid Raharjo, Nurjazuli
JURNAL KESEHATAN LINGKUNGAN .2025; 17(3): 220. CrossRef
Foodomics in Diabetes Management: A New Approach
Sammra Maqsood, Muhammad Tayyab Arshad, Ali Ikram, Hatem A. Al‐Aoh, Kodjo Théodore Gnedeka
Food Science & Nutrition.2025;[Epub] CrossRef
Polycystic ovary syndrome and organochlorine pesticides: exploring potential links and mechanisms
Shanshan Yin, Wanjia Yang, Feiyun Lin, Mei Jia, Ying Feng, Yanhong Chen, Xiaoxia Bai, Yihan Dong, Shuduan Mao, Kashif Hayat, Xuejing Jin
Frontiers in Reproductive Health.2025;[Epub] CrossRef
Exposure to organochlorine pesticides and mortality risk among individuals with diabetes: A prospective cohort analysis and network pharmacology study
Lingjun Yan, Zilin Liu, Xuejing Zhong, Bingqin Xie, Yu Huang, Qiansi Chen, Baochang He, Fa Chen, Jing Wang
Ecotoxicology and Environmental Safety.2025; 305: 119274. CrossRef
Impact of pesticides on gonads and human health: An updated commentary
Swati Swati, Anil Kumar Soni, Vishnu Kumar Sahu
Archives of Clinical Toxicology.2025; 7(1): 101. CrossRef
NAFLD’s possible link to exposure to environmental contaminants and overnutrition
Rais Ansari, Yadollah Omidi, Jaleh Barar, Shakil A Saghir
Archives of Clinical Toxicology.2025; 7(1): 111. CrossRef
Combined effects of organochlorine pesticides on type 2 diabetes mellitus: Insights from endocrine disrupting effects of hormones
Jiayu Shi, Dandan Wei, Cuicui Ma, Jintian Geng, Mengzhen Zhao, Jian Hou, Wenqian Huo, Tao Jing, Chongjian Wang, Zhenxing Mao
Environmental Pollution.2024; 341: 122867. CrossRef
Associations of chronic exposure to a mixture of pesticides and type 2 diabetes mellitus in a Chinese elderly population
Tian Chen, Xiaohua Liu, Jianghua Zhang, Lulu Wang, Jin Su, Tao Jing, Ping Xiao
Chemosphere.2024; 351: 141194. CrossRef
Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review
Samradhi Singh, Mona Kriti, Anamika K.S., Devojit Kumar Sarma, Vinod Verma, Ravinder Nagpal, Dheeraj Mohania, Rajnarayan Tiwari, Manoj Kumar
Metabolism Open.2024; 22: 100287. CrossRef
Impact of pesticides exposure and type 2 diabetes risk: a systematic review and meta-analysis
Yang Chen, Yaqin Deng, Minjia Wu, Peixuan Ma, Wen Pan, Weiqi Chen, Lina Zhao, Xiaowei Huang
Endocrine.2024; 87(2): 448. CrossRef
Environmental and occupational exposure to organochlorine pesticides associated with Parkinson's disease risk: A systematic review and meta-analysis based on epidemiological evidence
Yang Xu, Yan Su, Sheng Cai, Yuanhang Yao, Xianwen Chen
Public Health.2024; 237: 374. CrossRef
Role of Quercetin in Diabetic Cardiomyopathy
Nor Hidayah Mustafa, Hawa Nordin Siti, Yusof Kamisah
Plants.2024; 14(1): 25. CrossRef
Application of In Vitro Models for Studying the Mechanisms Underlying the Obesogenic Action of Endocrine-Disrupting Chemicals (EDCs) as Food Contaminants—A Review
Monika Kowalczyk, Jakub P. Piwowarski, Artur Wardaszka, Paulina Średnicka, Michał Wójcicki, Edyta Juszczuk-Kubiak
International Journal of Molecular Sciences.2023; 24(2): 1083. CrossRef
The diabetogenic effects of pesticides: Evidence based on epidemiological and toxicological studies
Yile Wei, Linping Wang, Jing Liu
Environmental Pollution.2023; 331: 121927. CrossRef
Pesticides and insulin resistance-related metabolic diseases: Evidences and mechanisms
Ali Arab, Sara Mostafalou
Pesticide Biochemistry and Physiology.2023; 195: 105521. CrossRef
Circulating organochlorine pesticide levels, genetic predisposition and the risk of incident type 2 diabetes
Chengyong Jia, Shiyang Zhang, Xu Cheng, Peiwen Li, Jun An, Xin Zhang, Wending Li, Yali Xu, Handong Yang, Tao Jing, Huan Guo, Meian He
Environmental Pollution.2023; 337: 122541. CrossRef
Targets for pollutants in rat and human pancreatic beta-cells: The effect of prolonged exposure to sub-lethal concentrations of hexachlorocyclohexane isomers on the expression of function- and survival-related proteins
Nela Pavlíková, Jan Šrámek, Martin Jaček, Jan Kovář, Vlasta Němcová
Environmental Toxicology and Pharmacology.2023; 104: 104299. CrossRef
Association of Organochlorine Pesticides With Genetic Markers of Endoplasmic Reticulum Stress in Type 2 Diabetes Mellitus: A Case–Control Study Among the North-Indian Population
Neha Tawar, Basu Dev Banerjee, Sri Venkata Madhu, Vivek Agrawal, Sanjay Gupta
Frontiers in Endocrinology.2022;[Epub] CrossRef
Acaricidal and insecticidal efficacy of new esters derivatives of a natural coumarin osthole
Xijie Shan, Min Lv, Jingru Wang, Yujia Qin, Hui Xu
Industrial Crops and Products.2022; 182: 114855. CrossRef
Association between organochlorine pesticides and nonalcoholic fatty liver disease in the National Health and Nutrition Examination Survey 2003–2004
Hyunji Sang, Kyu-Na Lee, Chang Hee Jung, Kyungdo Han, Eun Hee Koh
Scientific Reports.2022;[Epub] CrossRef

Guideline/Fact Sheet
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status: Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Jae-Seung Yun, Sun Young Kim, Sung Rae Kim, In-Kyung Jeong, Ji-Oh Mok, Kun Ho Yoon; Diabetes Metab J. 2021;45(1):1-10. Published online January 13, 2021; DOI: https://doi.org/10.4093/dmj.2020.0254

35,390 View
1,298 Download
174 Web of Science
205 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study aimed to investigate the recent prevalence, management, and comorbidities of diabetes among Korean adults aged ≥30 years by analyzing nationally representative data.
Methods
This study used data from the Korea National Health and Nutrition Examination Survey from 2016 to 2018, and the percentage and total number of people ≥30 years of age with diabetes and impaired fasting glucose (IFG) were estimated.
Results
In 2018, 13.8% of Korean adults aged ≥30 years had diabetes, and adults aged ≥65 years showed a prevalence rate of 28%. The prevalence of IFG was 26.9% in adults aged ≥30 years. From 2016 to 2018, 35% of the subjects with diabetes were not aware of their condition. Regarding comorbidities, 53.2% and 61.3% were obese and hypertensive, respectively, and 72% had hypercholesterolemia as defined by low-density lipoprotein cholesterol (LDL-C) ≥100 mg/dL in people with diabetes. Of the subjects with diabetes, 43.7% had both hypertension and hypercholesterolemia. With regard to glycemic control, only 28.3% reached the target level of <6.5%. Moreover, only 11.5% of subjects with diabetes met all three targets of glycosylated hemoglobin, blood pressure, and LDL-C. The percentage of energy intake from carbohydrates was higher in diabetes patients than in those without diabetes, while that from protein and fat was lower in subjects with diabetes.
Conclusion
The high prevalence and low control rate of diabetes and its comorbidities in Korean adults were confirmed. More stringent efforts are needed to improve the comprehensive management of diabetes to reduce diabetes-related morbidity and mortality.

Citations

Citations to this article as recorded by

Efficacy and safety of switching to ezetimibe 10 mg/rosuvastatin 2.5 mg in Korean patients with type 2 diabetes mellitus and dyslipidaemia: A multicentre, prospective study (EROICA study)
Sangmo Hong, Won J. Kim, Sungrae Kim, Jung H. Park, Eun S. Kang, Min K. Moon, Jae T. Kim, Ji‐Oh Mok, Ki Y. Lee, Cheol‐Young Park, Chang B. Lee
Diabetes, Obesity and Metabolism.2026; 28(2): 906. CrossRef
Lobeglitazone improves glycaemic control as add‐on therapy to empagliflozin plus metformin in patients with type 2 diabetes mellitus: A double‐blind, randomised, placebo‐controlled trial
Da Hea Seo, Kyung Wan Min, Ho Sang Sohn, Sang Yong Kim, In‐Kyung Jeong, Cheol‐Young Park, Kun‐Ho Yoon, So Hun Kim, Bong‐Soo Cha
Diabetes, Obesity and Metabolism.2026; 28(1): 728. CrossRef
Associations of Cardiocerebrovascular Risks and Exercise according to Menopausal Status in Women with Type 2 Diabetes Mellitus: A Nationwide Cohort Study
Ji-Hee Ko, Sun Joon Moon, Kyung-Do Han, Hye-Mi Kwon, Se-Eun Park, Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2026; 50(1): 101. CrossRef
Effectiveness and Safety of Fixed-Dose Empagliflozin/Linagliptin Combination in Type 2 Diabetes Mellitus: Real-World Evidence From Bangladesh
Indrajit Prasad, Ajit K Paul, M. Saifuddin, Nusrat Sultana, Mashfiqul Hasan, Masud-Un Nabi, AKM A Islam, Moinul Islam, Mohammad Atiqur-Rahman, Mohammad I Mahbub
Cureus.2026;[Epub] CrossRef
Nutrient Clusters Associated with the Dietary Inflammatory Index in Patients with Diabetes and Prediabetes: A Prospective Observational Study
Jiwon Park, Myoung Soo Kim
Nutrients.2026; 18(3): 422. CrossRef
Risk of obstructive sleep apnea and diabetes in Korean adults
Mi Ah Han
Endocrine Research.2026; 51(2): 93. CrossRef
A systematic review of clinical trials in mesenchymal stem cell therapy for type 1 diabetes mellitus
Dian Dayer, Shana Ahadi, Mohammad Ali Khaksar
Journal of Diabetes & Metabolic Disorders.2026;[Epub] CrossRef
Diabetes Fact Sheet 2025: Comparative Epidemiology and Clinical Features of Obese and Non-Obese Diabetes in Korea
Jin Hwa Kim, Bongseong Kim, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Bong Soo Cha, Kyungdo Han, Seung-Hwan Lee
Diabetes & Metabolism Journal.2026; 50(2): 267. CrossRef
Associations of Regular Participation in Aerobic and Resistance Exercise with Metabolic Health Indicators and Type 2 Diabetes Risk: A Cross-Sectional Analysis of the 2023 Korea National Health and Nutrition Examination Survey
Yun-Sung Kim, Young-Min Park, Dong-il Kim
Exercise Science.2026; 35(1): 41. CrossRef
The practice of family pharmacists in managing polypharmacy for home-based elderly patients
Shiyu Wang, Qingmao Luo, Jiahao Chen, Le Li, Aiqiu Liao, Yu Zou, Zhouqian Jiang, Jinzhuo Li, Wenyan Yi
Journal of Family Medicine and Primary Care.2026; 15(2): 724. CrossRef
Diabetes self‐care activities and its correlates in patients with diabetic neuropathy
Younhee Kang, Inkyung Park
Journal of Clinical Nursing.2025; 34(6): 2163. CrossRef
Efficacy and safety of a fixed‐dose combination of dapagliflozin and linagliptin (AJU‐A51) in patients with type 2 diabetes mellitus: A multicentre, randomized, double‐blind, parallel‐group, placebo‐controlled phase III study
Jun Hwa Hong, Myung Jin Kim, Kyung Wan Min, Jong Chul Won, Tae Nyun Kim, Byung‐Wan Lee, Jun Goo Kang, Jae Hyeon Kim, Jung Hwan Park, Bon Jeong Ku, Chang Beom Lee, Sang Yong Kim, Ho Sang Shon, Woo Je Lee, Joong‐Yeol Park
Diabetes, Obesity and Metabolism.2025; 27(1): 81. CrossRef
Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
Journal of Diabetes Investigation.2025; 16(2): 215. CrossRef
Graves’ Disease and the Risk of Type 2 Diabetes: A Korean Population-Based Study
Yoon Young Cho, Bongseong Kim, Sang-Man Jin, Chan-Hee Jung, Ji Oh Mok, Sun Wook Kim, Jae Hoon Chung, Kyung-Do Han, Tae Hyuk Kim
Thyroid®.2025; 35(1): 60. CrossRef
Prevalence of prediabetes according to sleep apnea status
Yoo Jin Um, Ho Kim, Joohon Sung, Yoo Hyun Um, Sung-il Cho
Primary Care Diabetes.2025; 19(1): 61. CrossRef
Kidney biopsy can help to predict renal outcomes of patients with type 2 diabetes mellitus
Wook-Joon Kim, Taehoon Oh, Nam Hun Heo, Kyungsup Kwon, Ga-Eun Shin, Se-Hwi Jeong, Ji Hye Lee, Samel Park, Nam-Jun Cho, Hyo-Wook Gil, Eun Young Lee
Kidney Research and Clinical Practice.2025; 44(1): 91. CrossRef
Associations of four obesity indices with diabetes mellitus in Korean middle-aged and older adults using the Korean Genome and Epidemiology Study (KoGES)
Yiseul Lee, Nam-Kyoo Lim, Hyun-Young Park
BMC Public Health.2025;[Epub] CrossRef
Rapid and efficient detection of acetone using C20-based nanostructures: A novel non-invasive strategy for diabetes assay through DFT/TD-DFT calculations
Ahmad Khaleel AlOmari
Diamond and Related Materials.2025; 154: 112137. CrossRef
Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010–2020)
Ji Yoon Kim, Jiyoon Lee, Joon Ho Moon, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Nam Hoon Kim
Diabetes & Metabolism Journal.2025; 49(2): 172. CrossRef
Association between Average Weekly Work Hours and Glycated Hemoglobin in Patients with Diabetes Mellitus: Korea National Health and Nutrition Examination Survey Results (2007–2016)
Jongmin Baek, Sang Keun Hahm
Korean Journal of Family Practice.2025; 15(1): 33. CrossRef
Associations of Physical Activity and Cardiorespiratory Fitness With Incident Chronic Kidney Disease in a Korean Population
Yunmin Han, Sungjae Yoon, Soomin Lee, Younghwan Choi, Geonhui Kim, Duck-chul Lee, Youngwon Kim, Ga-young Lim, Ria Kwon, Yoosoo Chang, Seungho Ryu, Jeonggyu Kang, Yeon Soo Kim
Journal of Renal Nutrition.2025; 35(4): 501. CrossRef
Exposure to bisphenols and their relation to diabetes mellitus: a systematic review
Maria Isabel Mena, Alejandro Lopez-Moro, Miguel Mariscal-Arcas
Journal of Environmental Exposure Assessment.2025;[Epub] CrossRef
Comparative disease burden of early‐onset and late‐onset type 2 diabetes in the U.S.: Evidence from NHANES 2003–2018
Shuoying Yue, Meng Su, Zihao Zhang, Zhiyi Hao, Man Li, Liang Zhang, Naijian Zhang, Zhilin Li, Qingcui Wu, Huijie Huang, Honglu Zhang, Yuanyuan Liu, Hui Wang, Jun Ma
Journal of Diabetes Investigation.2025; 16(9): 1750. CrossRef
Disparities in trends of metabolic syndrome in Korea from 2007 to 2022 by age, sex, and lifestyle factors
Yaelim Kim, Yeonghun Choi, Kyu-Na Lee, Hyunji Sang, Kyungdo Han, Sunyoung Kim, Sang Youl Rhee
Scientific Reports.2025;[Epub] CrossRef
Risk factors for prediabetes in young adults: a study based on Korea National health and nutrition examination survey data
Sujung Lee, Dae-Soon Son, Jae-In Kim, Jungmin Lee
Scientific Reports.2025;[Epub] CrossRef
Portulaca oleracea-derived indoline amide ameliorates obesity and NAFLD in rats through Nrf2-dependent antioxidant and anti-inflammatory mechanisms
Mona Eid Alshamari, Laila Naif Al-Harbi, Ghedeir M. Alshammari, Maha H. Alhussain, Ali Saleh, Mohammed Abdo Yahya
Scientific Reports.2025;[Epub] CrossRef
Effect of Thermal Treatment on Nutritional and Physicochemical Properties of Sweet Pumpkin Flour and its Impact on Resistant Starch and Sensory Quality of Muffins and Noodles
Mingyo Ha, Felicia Irawan, Ha‐Eun Han, Sangmyung Jun, Dong‐Hwa Cho, Hyun‐Jung Chung
Journal of Food Science.2025;[Epub] CrossRef
Diet self-management and education encounter in confucianism-dominated culture: a qualitative study of taiwanese with poor diabetes control
Hsueh-Fen Chen, Hung-Ru Lin, Tz-Wen Lu, Mei-Yueh Lee
Health Education Research.2025;[Epub] CrossRef
Psychotropic medication and in-hospital falls in older adults: a cohort-based secondary analysis with exploratory stratification among users
Maosong Wang, Jifeng Peng, Jianxin Hu
Scientific Reports.2025;[Epub] CrossRef
Associations between diabetes mellitus and drinking patterns in Korean adults by sex: insights from the Korea National health and nutrition examination survey 2013–2018
Hyunsoo Yoo, Yoon-Seok Choi, Young-Mo Yang
Diabetology & Metabolic Syndrome.2025;[Epub] CrossRef
호남권 지역주민의 건강행태와 만성질환 관리현황
선아 김, 정은 이
Public Health Weekly Report.2024; 17(2): 46. CrossRef
Variability in the association of smoking status with the prevalence of diabetes mellitus in the Korean population according to different definitions of smoking status: analysis based on the Korea National Health and Nutrition Examination Survey (2014-202
Yechan Kyung, Young Sook Park, Mi Hyeon Jin, Hae Jeong Lee
International Journal of Environmental Health Research.2024; 34(9): 3218. CrossRef
Factors Influencing the Dietary Behavior of Patients with Type 2 Diabetes Mellitus: A Cross-sectional Study
Sohyun Jin, Youngshin Song
Journal of Korean Academy of Fundamentals of Nursing.2024; 31(1): 80. CrossRef
Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
Jin-Ah Seok, Yeon-Kyung Lee
Nutrition Research and Practice.2024; 18(2): 239. CrossRef
Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study
So Jung Yang, Sun-Young Lim, Yoon Hee Choi, Jin Hee Lee, Kun-Ho Yoon
Endocrinology and Metabolism.2024; 39(2): 364. CrossRef
Impact of the COVID-19 Pandemic on Obesity, Metabolic Parameters and Clinical Values in the South Korean Adult Population
Anna Kim, Eun-yeob Kim, Jaeyoung Kim
Journal of Clinical Medicine.2024; 13(10): 2814. CrossRef
Diabetic prediction and classification of risk level using ODDTADC method in big data analytics
G. Geo Jenefer, A. J. Deepa, M. Mary Linda
Journal of Combinatorial Optimization.2024;[Epub] CrossRef
Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
Inha Jung, Dae-Jeong Koo, Won-Young Lee
Diabetes & Metabolism Journal.2024; 48(3): 327. CrossRef
Analysis of Factors Influencing Changes in Left Atrium and Left Ventricle Size in Adults
Sun-Hwa Kim, Sung-Hee Yang
Journal of Radiological Science and Technology.2024; 47(2): 125. CrossRef
Impact of electronic cigarette use on the increased risk of diabetes: the Korean Community Health Survey
Wonseok Jeong, Seungju Kim
Epidemiology and Health.2024; 46: e2024029. CrossRef
Information technology-supported integrated health service for older adults in long-term care settings
Jung-Yeon Choi, Hongsoo Kim, Seungyeon Chun, Young-il Jung, Sooyoung Yoo, In-Hwan Oh, Gi-Soo Kim, Jin Young Ko, Jae-Young Lim, Minho Lee, Jongseon Lee, Kwang-il Kim
BMC Medicine.2024;[Epub] CrossRef
Precision Diabetes Education and Support Considering Patients’ Behavioral and Psychological Phenotype: A Q-Methodology Study
EunSeok Cha, Myoung Hwan Shin, Hyunjung Lee, Hyesun Jang, Kyong Hye Joung, Hyunjin Kim, Jooseon Lee, Melissa Spezia Faulkner
Western Journal of Nursing Research.2024; 46(8): 602. CrossRef
Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future
Mingui Kong, Su Jeong Song
Endocrinology and Metabolism.2024; 39(3): 416. CrossRef
Efficacy and Safety of Metformin and Atorvastatin Combination Therapy vs. Monotherapy with Either Drug in Type 2 Diabetes Mellitus and Dyslipidemia Patients (ATOMIC): Double-Blinded Randomized Controlled Trial
Jie-Eun Lee, Seung Hee Yu, Sung Rae Kim, Kyu Jeung Ahn, Kee-Ho Song, In-Kyu Lee, Ho-Sang Shon, In Joo Kim, Soo Lim, Doo-Man Kim, Choon Hee Chung, Won-Young Lee, Soon Hee Lee, Dong Joon Kim, Sung-Rae Cho, Chang Hee Jung, Hyun Jeong Jeon, Seung-Hwan Lee, Ke
Diabetes & Metabolism Journal.2024; 48(4): 730. CrossRef
Assessing Mental Health Conditions in Women with Gestational Diabetes Compared to Healthy Pregnant Women
Keren Grinberg, Yael Yisaschar-Mekuzas
Healthcare.2024; 12(14): 1438. CrossRef
Exercise improves muscle mitochondrial dysfunction-associated lipid profile under circadian rhythm disturbance
Yu Gu, Dong-Hun Seong, Wenduo Liu, Zilin Wang, Yong Whi Jeong, Jae-Cheol Kim, Dae Ryong Kang, Rose Ji Eun Lee, Jin-Ho Koh, Sang Hyun Kim
The Korean Journal of Physiology & Pharmacology.2024; 28(6): 515. CrossRef
Efficacy and safety of red ginseng extract powder (KGC05pg) in achieving glycemic control in prediabetic Korean adults: A 12-week, single-center, randomized, double-blind, parallel-group, placebo-controlled study
Yoonseon Jeong, Seung Ho Lee, Sung Lye Shim, Kyoung Hwa Jang, Jong Han Kim
Medicine.2024; 103(52): e41130. CrossRef
Diabetes Mellitus and Cardiovascular Disease: Exploring Epidemiology, Pathophysiology, and Treatment Strategies
Nawfal Hasan Siam, Nayla Nuren Snigdha, Noushin Tabasumma, Irin Parvin
Reviews in Cardiovascular Medicine.2024;[Epub] CrossRef
Importance of younger age group and high inflammatory status in the association between periodontal disease and diabetes mellitus: results from the Korea National Health and Nutrition Examination Survey 2012-2018
Hyunmin Lee, Myung-Hee Shin
Epidemiology and Health.2024; 46: e2024088. CrossRef
Exposure to Bisphenol A, S, and F and its Association with Obesity and Diabetes Mellitus in General Adults of Korea: Korean National Environmental Health Survey (KoNEHS) 2015–2017
Min Kyong Moon, Min Joo Kim, Inae Lee, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Hyunwoong Park, Gi Jeong Cheon, Young Joo Park, Kyungho Choi
Exposure and Health.2023; 15(1): 53. CrossRef
The evolution and future of diagnostic criteria for diabetes mellitus
Eun-Jung Rhee
Journal of the Korean Medical Association.2023; 66(7): 409. CrossRef
Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
Diabetes, Obesity and Metabolism.2023; 25(1): 110. CrossRef
Ocular motility disorders following coronavirus disease-19 vaccination
Kyung-Ah Park, Hyeshin Jeon, Dong Gyu Choi, Jae Ho Jung, Hyun-Jin Shin, Byung Joo Lee, Yeji Moon, Se-Youp Lee, Dong Cheol Lee, Soon Young Cho, Seong-Joon Kim, Sei Yeul Oh, Sunghyuk Moon, Shin Yeop Oh, Daye Diana Choi, Mi Young Choi, Won Jae Kim, Ungsoo Sa
Graefe's Archive for Clinical and Experimental Ophthalmology.2023; 261(4): 1127. CrossRef
Comorbidities associated with high-risk obstructive sleep apnea based on the STOP-BANG questionnaire: a nationwide population-based study
Gene Huh, Kyoung do Han, Yong-Moon Park, Chan-Soon Park, Kyu-na Lee, Eun Young Lee, Jung-Hae Cho
The Korean Journal of Internal Medicine.2023; 38(1): 80. CrossRef
Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173. CrossRef
Threshold dose–response association between smoking pack-years and the risk of gallbladder cancer: A nationwide cohort study
Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
European Journal of Cancer.2023; 180: 99. CrossRef
Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
The Korean Journal of Internal Medicine.2023; 38(1): 93. CrossRef
Momordica charantia (bitter melon) efficacy and safety on glucose metabolism in Korean prediabetes participants: a 12-week, randomized clinical study
Bukyung Kim, Hak Sung Lee, Hye-Jin Kim, Hyolynn Lee, In-young Lee, Soyoung Ock, Sukyoung Kwon, Sang-Soo Kang, Youngsik Choi
Food Science and Biotechnology.2023; 32(5): 697. CrossRef
Dynamic changes in prevalence of type 2 diabetes along with associated factors in Bangladesh: Evidence from two national cross-sectional surveys (BDHS 2011 and BDHS 2017–18)
Sabiha Shirin Sara, Ashis Talukder, Ka Yiu Lee, Nayan Basak, Shaharior Rahman Razu, Iqramul Haq, Chuton Deb Nath
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(2): 102706. CrossRef
Effectiveness of Non-Contact Dietary Coaching in Adults with Diabetes or Prediabetes Using a Continuous Glucose Monitoring Device: A Randomized Controlled Trial
Yeh-Chan Ahn, Yang Seok Kim, Bukyung Kim, Jung Mi Ryu, Myoung Soo Kim, Minkyeong Kang, Jiwon Park
Healthcare.2023; 11(2): 252. CrossRef
Interactions between Bitter Taste Receptor Gene Variants and Dietary Intake Are Associated with the Incidence of Type 2 Diabetes Mellitus in Middle-Aged and Older Korean Adults
Kyung Won Lee, Dayeon Shin
International Journal of Molecular Sciences.2023; 24(3): 2199. CrossRef
Relationship between age at menarche and metabolic diseases in Korean postmenopausal women: The Korea National Health and Nutrition Examination Survey 2016–2018
Hyein Jung, Yeon-Ah Sung, Young Sun Hong, Do Kyeong Song, So-hyeon Hong, Hyejin Lee, Tatsuo Shimosawa
PLOS ONE.2023; 18(1): e0280929. CrossRef
Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
Diabetes & Metabolism Journal.2023; 47(1): 82. CrossRef
Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
Diabetes Research and Clinical Practice.2023; 197: 110562. CrossRef
Hormonal Gut–Brain Signaling for the Treatment of Obesity
Eun Roh, Kyung Mook Choi
International Journal of Molecular Sciences.2023; 24(4): 3384. CrossRef
Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes
DaeEun Lee, Haejung Lee, Sangeun Lee, MinJin Lee, Ah Reum Khang
Journal of Korean Biological Nursing Science.2023; 25(1): 20. CrossRef
Systematic literature review and meta-analysis of cardiovascular risk factor management in selected Asian countries
Eric J Yeh, Ruth Bartelli Grigolon, Sarah Ramalho Rodrigues, Ana Paula A Bueno
Journal of Comparative Effectiveness Research.2023;[Epub] CrossRef
Gut Microbial Genes and Metabolism for Methionine and Branched-Chain Amino Acids in Diabetic Nephropathy
Ji Eun Kim, Hoonsik Nam, Ji In Park, Hyunjeong Cho, Jangwook Lee, Hyo-Eun Kim, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, Bong-Soo Kim, Sunghyouk Park, Hajeong Lee, Jan Claesen
Microbiology Spectrum.2023;[Epub] CrossRef
Prevalence and associated factors of diabetes mellitus among patients with tuberculosis in South Korea from 2011 to 2018: a nationwide cohort study
Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Jeong Mi Seo, Hongjo Choi, Young Ae Kang
BMJ Open.2023; 13(3): e069642. CrossRef
Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
Diabetes & Metabolism.2023; 49(4): 101440. CrossRef
Impact of abdominal obesity on the risk of glioma development in patients with diabetes: A nationwide population-based cohort study in Korea
Hyunji Sang, Yun Kyung Cho, Kyungdo Han, Eun Hee Koh, Sandar Tin Tin
PLOS ONE.2023; 18(3): e0283023. CrossRef
Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes
Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
Diabetes Care.2023; 46(3): 535. CrossRef
Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients
Jihye Tak, Minkyung Bok, Hyunkyung Rho, Ju Hyun Park, Yunsook Lim, Suk Chon, Hyunjung Lim
Nutrition Research and Practice.2023; 17(2): 241. CrossRef
The effects of hemp seed consumption on depression, anxiety and cognitive improvement based on machine learning
Jea-Bum Jung, Yong-Won Cho, Sang-Yub Kim, Soo-Yeon Chung, Kyung-Hoon Han, Byung-Joo Ham, Sung-Hee Han
Archives of Food and Nutritional Science.2023; 7(1): 032. CrossRef
Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
Journal of Health Informatics and Statistics.2023; 48(1): 36. CrossRef
Risk of Diabetic Complications in Type 2 Diabetes Patients with Dementia: A Population-Based Study Using National Health Insurance Claims Data
Eun Sik Jeong, Ah-Young Kim, Hye-Young Kang
Drug Targets and Therapeutics.2023; 2(1): 49. CrossRef
Type 2 Diabetes Mellitus- and Complication-Related Risk of Nontuberculous Mycobacterial Disease in a South Korean Cohort
Da Som Jeon, Seonok Kim, Mi Ae Kim, Yong Pil Chong, Tae Sun Shim, Chang Hee Jung, Ye-Jee Kim, Kyung-Wook Jo, Paschalis Vergidis, Byung Woo Jhun
Microbiology Spectrum.2023;[Epub] CrossRef
Association of advanced chronic kidney disease with diabetic retinopathy severity in older patients with diabetes: a retrospective cross-sectional study
Geun Woo Lee, Chul Ho Lee, Seong Gyu Kim
Journal of Yeungnam Medical Science.2023; 40(2): 146. CrossRef
RELATIVE RISK OF DIABETES MELLITUS AMONG OBESE POPULATION
Umair Khalid, Khuram Chaudry, Hina Khuram
Pakistan Journal of Rehabilitation.2023; 12(1): 93. CrossRef
Public–Private Partnership: Participants’ Experiences of the Web-Based Registration-and-Management System for Patients with Hypertension and Diabetes Mellitus
Seonah Lee, Nanyoung Song, Suhyun Kim
Healthcare.2023; 11(9): 1297. CrossRef
Anti-Hyperglycemic Effects of Fermented Mealworm Extract on Type 2 Diabetic Mice
Hae-In Lee, Asli Turkyilmaz, Mi-Kyung Lee
Journal of the Korean Society of Food Science and Nutrition.2023; 52(4): 431. CrossRef
A Study on Changes in Nutritional and Blood Conditions Before and After Consumption of Diabetic Soymilk in Elderly Women with Diabetes
Hyo-Jeong Hwang, Soon-Hee Park, Seon-Young Park, Soo-Rin Ahn, Su-Jin Park, Yoo-Jin Lee, Kwang-Jin Chon, Chung-Hwa Song, Dae-Gyun Moon, Kyung-Ok Shin
Journal of the Korean Society of Food Science and Nutrition.2023; 52(4): 341. CrossRef
Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes
Eunjoo Jeon, Aeri Kim, Jisoo Lee, Hyunsook Heo, Hana Lee, Kyungmi Woo
CIN: Computers, Informatics, Nursing.2023; 41(7): 539. CrossRef
Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
BMC Public Health.2023;[Epub] CrossRef
Peripheral neuropathy and neuropathic pain in the elderly
Je-Young Shin
Journal of Geriatric Neurology.2023; 2(1): 7. CrossRef
Cholecystectomy Increases the Risk of Type 2 Diabetes in the Korean Population
Ji Hye Huh, Kyong Joo Lee, Yun Kyung Cho, Shinje Moon, Yoon Jung Kim, Eun Roh, Kyung-do Han, Dong Hee Koh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
Annals of Surgery.2023; 278(2): e264. CrossRef
A Novel Salivary Sensor with Integrated Au Electrodes and Conductivity Meters for Screening of Diabetes
Chen-Wei Lin, Yuan-Hsiung Tsai, Yun-Shing Peng, Jen-Tsung Yang, Yen-Pei Lu, Mei-Yen Chen, Chun-Wu Tung
Biosensors.2023; 13(7): 702. CrossRef
Pharmacokinetic Comparison Between a Fixed‐Dose Combination of Empagliflozin L‐Proline/Metformin and Empagliflozin/Metformin in Healthy Korean Subjects
HyunJoon Lee, Jae‐Yong Chung, Kyung‐Sang Yu, Shin‐Jung Park, Soyoung Lee
Clinical Pharmacology in Drug Development.2023; 12(12): 1156. CrossRef
Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
Seong Gyu Choi, Minsuk Oh, Dong–Hyuk Park, Byeongchan Lee, Yong-ho Lee, Sun Ha Jee, Justin Y. Jeon
Scientific Reports.2023;[Epub] CrossRef
Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study
Jun Hwa Hong, Jun Sung Moon, Kayeon Seong, Soo Lim
Diabetes Research and Clinical Practice.2023; 203: 110872. CrossRef
Predicting micropollutant fate during wastewater treatment using refined classical kinetic model based on quantitative monitoring in multi-metropolitan regions of South Korea
Sung Ho Chae, Seung Ji Lim, Mingizem Gashaw Seid, Wondesen Workneh Ejerssa, Aseom Son, Heejong Son, Sangki Choi, Woongbae Lee, Yunho Lee, Seok Won Hong
Water Research.2023; 245: 120627. CrossRef
Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey
Eunju Yoon, Ji Cheol Bae, Sunghwan Suh
Endocrinology and Metabolism.2023; 38(5): 538. CrossRef
Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
Diabetes & Metabolism Journal.2023; 47(5): 643. CrossRef
Lower HbA1C of glycemic control is associated with higher risk of depressive symptoms in elderly with type 2 diabetes mellitus–A Nationwide Community-based study
Yen-Tze Liu, Wan-Hui Wu, Wei-Ting Tseng, Hsien-Chih Lin, Ming-Shiang Wu, Pei-Fen Chen, I-Chien Wu
Journal of Psychosomatic Research.2023; 174: 111492. CrossRef
Association between HbA1c and hearing loss: a tertiary care center-based study
Hyun Jin Lee, Sung Goo Yoo, Sun Jung Lee, Jae Sang Han, In Young Choi, Kyoung Ho Park
Scientific Reports.2023;[Epub] CrossRef
The Relationship between Alcohol Consumption and Diabetes in Korean Adults
Gi Tae Kim, Jae Woong Sull
Biomedical Science Letters.2023; 29(3): 159. CrossRef
Classification and prediction of the effects of nutritional intake on diabetes mellitus using artificial neural network sensitivity analysis: 7th Korea National Health and Nutrition Examination Survey
Kyungjin Chang, Songmin Yoo, Simyeol Lee
Nutrition Research and Practice.2023; 17(6): 1255. CrossRef
Changes in Soluble Serum CD81 Concentration during an Oral Glucose Tolerance Test in Patients with Diabetes Mellitus and Individuals with Normal Glucose Tolerance
Seon Mee Kang, Jun Choul Lee, Bon Jeong Ku
Diagnostics.2023; 13(23): 3500. CrossRef
Association between diabetes mellitus and cause of death in patients with tuberculosis: A Korean nationwide cohort study
Se Hyun Kwak, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang, Frederick Quinn
PLOS ONE.2023; 18(12): e0295556. CrossRef
The development and effects of a nursing education program for hyperglycemia patient care using standardized patients for nursing students
Jin Lee, Pok Ja Oh
The Journal of Korean Academic Society of Nursing Education.2023; 29(4): 427. CrossRef
Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination
Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da
The Journal of Korean Diabetes.2023; 24(4): 178. CrossRef
An association between socioeconomic status and preventive screening for diabetic eye and kidney complications among individuals with type 2 diabetes
Changwoo Shon, Jongnam Hwang
Korean Journal of Health Education and Promotion.2023; 40(5): 27. CrossRef
Increased risk of cancer and cancer-related mortality in middle-aged Korean women with prediabetes and diabetes: a population-based study
Thi Xuan Mai Tran, Soyeoun Kim, Huiyeon Song, Boyoung Park
Epidemiology and Health.2023; 45: e2023080. CrossRef
Diabetes self-management education
Ibironke Cecilia OJO, Elizabeth Olufunmilayo OJO, Simeo Kayode OLUBIYI
Journal of Integrative Nursing.2023; 5(2): 93. CrossRef
Relationships between fasting glucose levels, lifestyle factors, and metabolic parameters in Korean adults without diagnosis of diabetes mellitus
Seo Young Kang, Young Sik Kim
Journal of Diabetes.2022; 14(1): 52. CrossRef
Exposure to polycyclic aromatic hydrocarbons and volatile organic compounds is associated with a risk of obesity and diabetes mellitus among Korean adults: Korean National Environmental Health Survey (KoNEHS) 2015–2017
Inae Lee, Hyunwoong Park, Min Joo Kim, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Gi Jeong Cheon, Kyungho Choi, Young Joo Park, Min Kyong Moon
International Journal of Hygiene and Environmental Health.2022; 240: 113886. CrossRef
Trends in intake and sources of dietary protein in Korean adults, 1998–2018
Kyung Won Lee, Dayeon Shin
British Journal of Nutrition.2022; 128(8): 1595. CrossRef
Psychometric Properties of the Korean Version of the Perceived Therapeutic Efficacy Scale for Physical Activity in Adults With Type 2 Diabetes
Moonsun Kim, Chun-Ja Kim, Dae Jung Kim, Elizabeth A. Schlenk
The Science of Diabetes Self-Management and Care.2022; 48(1): 11. CrossRef
Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study
Jeong Hee Chi, Bum Ju Lee, Masaki Mogi
PLOS ONE.2022; 17(1): e0262757. CrossRef
Muscle strength and prediabetes progression and regression in middle‐aged and older adults: a prospective cohort study
Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Duolao Wang, Tongzhi Wu
Journal of Cachexia, Sarcopenia and Muscle.2022; 13(2): 909. CrossRef
Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)
Ji Cheol Bae, Soo Heon Kwak, Hyun Jin Kim, Sang-Yong Kim, You-Cheol Hwang, Sunghwan Suh, Bok Jin Hyun, Ji Eun Cha, Jong Chul Won, Jae Hyeon Kim
Diabetes & Metabolism Journal.2022; 46(1): 81. CrossRef
Effect of Combined Treatment with Catechin and Quercetin on Hepatic Glucose Metabolism in Diabetic Rats
Byoung Rai Lee, Pyoung Sim Park
Journal of the Korean Society of Food Science and Nutrition.2022; 51(1): 12. CrossRef
Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study (Diabetes Metab J 2021;45:675-83)
Tae Jung Oh
Diabetes & Metabolism Journal.2022; 46(1): 160. CrossRef
East Asian perspectives in metabolic and bariatric surgery
Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
Journal of Diabetes Investigation.2022; 13(5): 756. CrossRef
Substitution of Carbohydrates for Fats and Risk of Type 2 Diabetes among Korean Middle-Aged Adults: Findings from the Korean Genome and Epidemiology Study
Hye-Ah Lee, Hyesook Park
Nutrients.2022; 14(3): 654. CrossRef
Comparison of Health Outcomes by Care Provider Type for Newly Diagnosed Mild Type 2 Diabetes Patients in South Korea: A Retrospective Cohort Study
Hee-Chung Kang, Jae-Seok Hong
Healthcare.2022; 10(2): 334. CrossRef
A deep learning model for screening type 2 diabetes from retinal photographs
Jae-Seung Yun, Jaesik Kim, Sang-Hyuk Jung, Seon-Ah Cha, Seung-Hyun Ko, Yu-Bae Ahn, Hong-Hee Won, Kyung-Ah Sohn, Dokyoon Kim
Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(5): 1218. CrossRef
Rheological, textural, and functional characteristics of 3D-printed cheesecake containing guava leaf, green tea, and barley sprout powders
Ye-Eun Park, Jeong Kim, Hyun Woo Kim, Jiyeon Chun
Food Bioscience.2022; 47: 101634. CrossRef
The Influence of Obesity and Metabolic Health on Vascular Health
Eun-Jung Rhee
Endocrinology and Metabolism.2022; 37(1): 1. CrossRef
Osteoporosis or fracture risk associated with thiazolidinedione and proton pump inhibitor co‐administration in patients with type 2 diabetes mellitus
Miyoung Ock, Sera Lee, Hyunah Kim
Journal of Clinical Pharmacy and Therapeutics.2022; 47(7): 1028. CrossRef
Differences in the gut microbiome composition of Korean children and adult samples based on different DNA isolation kits
Changyoon Baek, Woo Jin Kim, JaeWoo Moon, Seo Yoon Moon, Wonsub Kim, Hae-Jin Hu, Junhong Min, Jonghoon Choi
PLOS ONE.2022; 17(3): e0264291. CrossRef
Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
International Journal of Environmental Research and Public Health.2022; 19(6): 3280. CrossRef
Editorial: Management of Diabetes and its Complications: A Focus on Endothelial Dysfunction
Shanhu Qiu, Jianhua Ma, Tongzhi Wu
Frontiers in Endocrinology.2022;[Epub] CrossRef
The effect of long working hours on developing type 2 diabetes in adults with prediabetes: The Kangbuk Samsung Cohort Study
Eunhye Seo, Yesung Lee, Eunchan Mun, Dae Hoon Kim, Youshik Jeong, Jaehong Lee, Jinsook Jeong, Woncheol Lee
Annals of Occupational and Environmental Medicine.2022;[Epub] CrossRef
GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
Ji Hee Yu, So Young Park, Da Young Lee, Nan Hee Kim, Ji A Seo
Kidney Research and Clinical Practice.2022; 41(2): 136. CrossRef
Prevalence of Type 2 Diabetes Mellitus among Korean Children, Adolescents, and Adults Younger than 30 Years: Changes from 2002 to 2016
Yong Hee Hong, In-Hyuk Chung, Kyungdo Han, Sochung Chung
Diabetes & Metabolism Journal.2022; 46(2): 297. CrossRef
Synergistic association between underweight and type 2 diabetes on the development of laryngeal cancer: a national population-based retrospective cohort study
Oh. Hyeong Lee, Yong-Moon Park, Seung-Hyun Ko, Kyuna Lee, Yeonji Kim, Kyungdo Han, Jung-Hae Cho
BMC Cancer.2022;[Epub] CrossRef
Efficacy of Geumguesingi-hwan (jinkuishenqi-wan, kinkijinki-gan) in decreasing blood glucose levels in patients with uncomplicated type 2 diabetes
Hyun-Jin Choi, Ji-Soo Baek, Cheon-Hoo Jeon, Seon-Mi Shin, Chung-Sik Cho
Medicine.2022; 101(12): e29079. CrossRef
Effect of Motivational Interviewing Training on Diabetes Educators’ Counseling Skills and Self-Efficacy
Sung-Chul Lim
The Journal of Korean Diabetes.2022; 23(1): 57. CrossRef
Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
The Journal of Korean Diabetes.2022; 23(1): 64. CrossRef
Korean naked waxy barley (saechalssal) extract reduces blood glucose in diabetic mice by modulating the PI3K-Akt-GSK3β pathway
Ju Ri Ham, Young-Jin Son, Yongjin Lee, Hyun-Jin Lee, Jiyoung Yeo, Mi Ja Lee, Mi-Kyung Lee
Biomedicine & Pharmacotherapy.2022; 150: 112976. CrossRef
Cumulative Exposure to High γ-Glutamyl Transferase Level and Risk of Diabetes: A Nationwide Population-Based Study
Ji-Yeon Park, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
Endocrinology and Metabolism.2022; 37(2): 272. CrossRef
Suicide Risk in Patients With Diabetes Varies by the Duration of Diabetes: The Korea National Health and Nutrition Examination Survey (2019)
Young-Chan Kim, Yoo Hyun Um, Sung-Min Kim, Tae-Won Kim, Ho-Jun Seo, Seung-Chul Hong, Jong-Hyun Jeong
Psychiatry Investigation.2022; 19(4): 326. CrossRef
Gene‐environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels
Ji Eun Lim, Ji‐one Kang, Tae‐Woong Ha, Hae‐Un Jung, Dong Jun Kim, Eun Ju Baek, Han Kyul Kim, Ju Yeon Chung, Sang Youl Rhee, Mi Kyung Kim, Yeon‐Jung Kim, Taesung Park, Bermseok Oh
Genetic Epidemiology.2022; 46(5-6): 285. CrossRef
The predictive value of resting heart rate in identifying undiagnosed diabetes in Korean adults: Korea National Health and Nutrition Examination Survey
Dong-Hyuk Park, Wonhee Cho, Yong-Ho Lee, Sun Ha Jee, Justin Y. Jeon
Epidemiology and Health.2022; 44: e2022009. CrossRef
Experiences of Sleep Problems Among Older Korean Immigrants
Yeonsu Song, Gery W. Ryan, Diane Lee, Haesook Kim, Jennifer L. Martin, B. Josea Kramer, Ron D. Hays, Sarah E. Choi
Research in Gerontological Nursing.2022; 15(4): 193. CrossRef
Current Status of Low-Density Lipoprotein Cholesterol Target Achievement in Patients with Type 2 Diabetes Mellitus in Korea Compared with Recent Guidelines
Soo Jin Yun, In-Kyung Jeong, Jin-Hye Cha, Juneyoung Lee, Ho Chan Cho, Sung Hee Choi, SungWan Chun, Hyun Jeong Jeon, Ho-Cheol Kang, Sang Soo Kim, Seung-Hyun Ko, Gwanpyo Koh, Su Kyoung Kwon, Jae Hyuk Lee, Min Kyong Moon, Junghyun Noh, Cheol-Young Park, Sung
Diabetes & Metabolism Journal.2022; 46(3): 464. CrossRef
Diabetes Fact Sheet in Korea 2021
Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won
Diabetes & Metabolism Journal.2022; 46(3): 417. CrossRef
Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
Diabetes & Metabolism Journal.2022; 46(3): 355. CrossRef
Exercise, Mitohormesis, and Mitochondrial ORF of the 12S rRNA Type-C (MOTS-c)
Tae Kwan Yoon, Chan Hee Lee, Obin Kwon, Min-Seon Kim
Diabetes & Metabolism Journal.2022; 46(3): 402. CrossRef
Effect of carbohydrate-restricted diets and intermittent fasting on obesity, type 2 diabetes mellitus, and hypertension management: consensus statement of the Korean Society for the Study of obesity, Korean Diabetes Association, and Korean Society of Hype
Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
Clinical Hypertension.2022;[Epub] CrossRef
A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
Diabetes, Obesity and Metabolism.2022; 24(9): 1800. CrossRef
Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
Giwoong Choi, Hojun Yoon, Hyun Ho Choi, Kyoung Hwa Ha, Dae Jung Kim
Age and Ageing.2022;[Epub] CrossRef
Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
BMJ Open Diabetes Research & Care.2022; 10(3): e002739. CrossRef
Correlation of advanced glycation end products and heme oxygenase-1 in Korean diabetic patients
Ha-Neul Choi, Da-Hye Koo, Jung-Eun Yim
Journal of Nutrition and Health.2022; 55(3): 348. CrossRef
The Impact of the Association between Cancer and Diabetes Mellitus on Mortality
Sung-Soo Kim, Hun-Sung Kim
Journal of Personalized Medicine.2022; 12(7): 1099. CrossRef
Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources
San Wang, Jieun Han, Se Young Jung, Tae Jung Oh, Sen Yao, Sanghee Lim, Hee Hwang, Ho-Young Lee, Haeun Lee
Scientific Reports.2022;[Epub] CrossRef
Optical-fibre characteristics based on Fano resonances and sensor application in blood glucose detection
Jun Zhu, Jinguo Yin
Optics Express.2022; 30(15): 26749. CrossRef
Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
Journal of Obesity & Metabolic Syndrome.2022; 31(2): 100. CrossRef
Maintaining Physical Activity Is Associated with Reduced Major Adverse Cardiovascular Events in People Newly Diagnosed with Diabetes
Duhoe Kim, Jaehun Seo, Kyoung Hwa Ha, Dae Jung Kim
Journal of Obesity & Metabolic Syndrome.2022; 31(2): 187. CrossRef
Prevalence of Diabetic Retinopathy in Undiagnosed Diabetic Patients: A Nationwide Population-Based Study
Han Na Jang, Min Kyong Moon, Bo Kyung Koo
Diabetes & Metabolism Journal.2022; 46(4): 620. CrossRef
Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus
Soyeon Kang, Yong-Moon Park, Dong Jin Kwon, Youn-Jee Chung, Jeong Namkung, Kyungdo Han, Seung-Hyun Ko
Diabetes & Metabolism Journal.2022; 46(4): 578. CrossRef
Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
Nutrients.2022; 14(15): 3086. CrossRef
The Association of Pachydrusen Characteristics with Choroidal Thickness and Patient’s Age in Polypoidal Choroidal Vasculopathy versus Central Serous Chorioretinopathy
Young Ho Kim, Yoo-Ri Chung, Chungwoon Kim, Kihwang Lee, Won Ki Lee
International Journal of Molecular Sciences.2022; 23(15): 8353. CrossRef
Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study
Hee Sun Kang, Hyang Rang Park, Chun-Ja Kim, Savitri Singh-Carlson
The Science of Diabetes Self-Management and Care.2022; 48(5): 362. CrossRef
Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
Diagnostics.2022; 12(8): 1967. CrossRef
Recent Increases in Influenza-Related Hospitalizations, Critical Care Resource Use, and In-Hospital Mortality: A 10-Year Population-Based Study in South Korea
Tae Hwa Hong, Hyung Seok Lee, Nam-Eun Kim, Kyu Jin Lee, Yong Kyun Kim, Jung Nam An, Joo-Hee Kim, Hyung Won Kim, Sunghoon Park
Journal of Clinical Medicine.2022; 11(16): 4911. CrossRef
Clinical and economic impact of changing reimbursement criteria for statin treatment among patients with type 2 diabetes mellitus in South Korea
Siin Kim, Kyungseon Choi, Ji-yool Kim, Hae Sun Suh
Frontiers in Pharmacology.2022;[Epub] CrossRef
Experience of Elderly Korean Women with Diabetes and Multimorbidity in Elderly Couple Households: A Qualitative Study
Oksoo Kim, Hyunju Dan
Healthcare.2022; 10(9): 1675. CrossRef
Long-Term Changes in HbA1c According to Blood Glucose Control Status During the First 3 Months After Visiting a Tertiary University Hospital
Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
Journal of Korean Medical Science.2022;[Epub] CrossRef
Sex and Diet-Related Disparities in Low Handgrip Strength among Young and Middle-Aged Koreans: Findings Based on the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2017
Inhye Kim, Kumhee Son, Su Jin Jeong, Hyunjung Lim
Nutrients.2022; 14(18): 3816. CrossRef
Rising Incidence of Diabetes in Young Adults in South Korea: A National Cohort Study
Hyun Ho Choi, Giwoong Choi, Hojun Yoon, Kyoung Hwa Ha, Dae Jung Kim
Diabetes & Metabolism Journal.2022; 46(5): 803. CrossRef
Analysis of the Association between Metabolic Syndrome and Renal Function in Middle-Aged Patients with Diabetes
Yoonjin Park, Su Jung Lee
International Journal of Environmental Research and Public Health.2022; 19(18): 11832. CrossRef
Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
Haewon Byeon
Frontiers in Endocrinology.2022;[Epub] CrossRef
Body mass index and stroke risk among patients with diabetes mellitus in Korea
Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Tariq Jamal Siddiqi
PLOS ONE.2022; 17(9): e0275393. CrossRef
Low relative hand grip strength is associated with a higher risk for diabetes and impaired fasting glucose among the Korean population
Min Jin Lee, Ah Reum Khang, Dongwon Yi, Yang Ho Kang, Giacomo Pucci
PLOS ONE.2022; 17(10): e0275746. CrossRef
Association of Glycosylated Hemoglobin Level and Cancer-Related Mortality in Patients without Diabetes
Tae Kyung Yoo, Mi Yeon Lee, Sul A. Lee, Eun Sun Cheong, Mi Hae Seo, Ki Chul Sung
Journal of Clinical Medicine.2022; 11(19): 5933. CrossRef
Risk of Carotid Atherosclerosis in Subjects with Prediabetes Overlapping Metabolic Syndrome
Seol A Jang, Kyoung Min Kim, Seok Won Park, Chul Sik Kim
Metabolic Syndrome and Related Disorders.2022; 20(10): 599. CrossRef
Lifestyle changes and risk of tuberculosis in patients with type 2 diabetes mellitus: A nationwide cohort study
Jiho Park, Ji Hyun Yoon, Hyun Kyun Ki, Kyungdo Han, Hyungjin Kim
Frontiers in Endocrinology.2022;[Epub] CrossRef
Analysis of Clinical and Functional Outcomes according to the Blood Sugar Control Status at the Time of Ankle Fractures Resulting from Rotational Injuries
Jun Young Lee, Dong Seop Lim, Seung Hyun Lee, Seo Jin Park
Journal of the Korean Fracture Society.2022; 35(4): 135. CrossRef
Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
Frontiers in Public Health.2022;[Epub] CrossRef
Musculoskeletal complications in patients with diabetes mellitus
Jong Han Choi, Hae-Rim Kim, Kee-Ho Song
The Korean Journal of Internal Medicine.2022; 37(6): 1099. CrossRef
Blood Biochemical Characteristics, Dietary Intake, and Risk Factors Related to Poor HbA1c Control in Elderly Korean Diabetes Patients: Comparison between the 4th(2007-2009) and the 7th(2016-2018) Korea National Health and Nutrition Examination Surveys
Sung-Won Oh, Sook-Bae Kim
Korean Journal of Community Nutrition.2022; 27(5): 406. CrossRef
Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
Journal of Personalized Medicine.2022; 12(11): 1899. CrossRef
Brachial-ankle pulse wave velocity as a predictor of long-term cardiovascular events in 2174 subjects with type 2 diabetes mellitus: A retrospective cohort study
Hack-Lyoung Kim, Won Kyeong Jeon, Hyun Sung Joh, Woo-Hyun Lim, Jae-Bin Seo, Sang-Hyun Kim, Joo-Hee Zo, Myung-A Kim
Medicine.2022; 101(45): e31758. CrossRef
Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea
Hyeonseop Yuk, Juhui Gim, Jung Kee Min, Jaesuk Yun, Tae-Young Heo
Applied Artificial Intelligence.2022;[Epub] CrossRef
Sex Differences in the Effects of CDKAL1 Variants on Glycemic Control in Diabetic Patients: Findings from the Korean Genome and Epidemiology Study
Hye Ah Lee, Hyesook Park, Young Sun Hong
Diabetes & Metabolism Journal.2022; 46(6): 879. CrossRef
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
Diabetes & Metabolism Journal.2022; 46(6): 819. CrossRef
Classification of Type 2 Diabetes Incidence Risk and the Health Behavior of the 30–50-Year-Old Korean Adults: Latent Class Analysis
Roma Seol, Jin-Ho Chun
International Journal of Environmental Research and Public Health.2022; 19(24): 16600. CrossRef
Association between Amount of Alcohol Consumption and Serum Fasting Glucose Level in Korean Male in their 40s and 50s: The Seventh Korea National Health and Nutrition Examination Survey 2016-2018
Jihyun Kim
Korean Journal of Family Practice.2022; 12(5): 320. CrossRef
Associated Factors with Health-related Quality of Life among Older Adults with Diabetes in Korea
Eun-Kyung Lee, Sun-Young Jung
The Korean Journal of Rehabilitation Nursing.2022; 25(2): 61. CrossRef
Chronic Disease Prediction Using the Common Data Model: Development Study
Chanjung Lee, Brian Jo, Hyunki Woo, Yoori Im, Rae Woong Park, ChulHyoung Park
JMIR AI.2022; 1(1): e41030. CrossRef
Threshold Dose-Response Association between Smoking Pack-Years and the Risk of Gallbladder Cancer: A Nationwide Cohort Study
Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
SSRN Electronic Journal .2022;[Epub] CrossRef
The risk of stroke according to statin medication compliance in older people with chronic periodontitis: an analysis using the Korea National Health Insurance Service-Senior Cohort Database
Seon-Rye Kim, Minkook Son, Yu-Rin Kim
Epidemiology and Health.2022; 44: e2022055. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
Diabetes & Metabolism Journal.2021; 45(4): 461. CrossRef
Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Yong-Jin Im, Eun-Young Kim, Tae Sun Park
Journal of Korean Medical Science.2021;[Epub] CrossRef
Factors Associated with Depressive Symptoms in Korean Adults with Diabetes Mellitus: A Cross-Sectional Study
Mihyun Jeong
Healthcare.2021; 9(8): 1049. CrossRef
Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
The Korean Journal of Internal Medicine.2021; 36(5): 1049. CrossRef
Metabolic Effects of Gastrectomy and Duodenal Bypass in Early Gastric Cancer Patients with T2DM: A Prospective Single-Center Cohort Study
Young Ki Lee, Eun Kyung Lee, You Jin Lee, Bang Wool Eom, Hong Man Yoon, Young-Il Kim, Soo Jeong Cho, Jong Yeul Lee, Chan Gyoo Kim, Sun-Young Kong, Min Kyong Yoo, Yul Hwangbo, Young-Woo Kim, Il Ju Choi, Hak Jin Kim, Mi Hyang Kwak, Keun Won Ryu
Journal of Clinical Medicine.2021; 10(17): 4008. CrossRef
Sex- and Age-Specific Trends in Cardiovascular Health in Korea, 2007–2018
So Mi Jemma Cho, Hokyou Lee, Hyeon Chang Kim
Korean Circulation Journal.2021; 51(11): 922. CrossRef
Efficacy and Safety of Switching to Teneligliptin in Patients with Type 2 Diabetes Inadequately Controlled with Dipeptidyl Peptidase-4 Inhibitors: 52-Week Results from a Prospective Observational Study
Hae Jin Kim, Young Sik Kim, Chang Beom Lee, Moon-Gi Choi, Hyuk-Jae Chang, Soo Kyoung Kim, Jae Myung Yu, Tae Ho Kim, Ji Hyun Lee, Kyu Jeung Ahn, Kyung Wan Min, Eun Jung Kyung, Yeo Kyeong Kim, Kwan Woo Lee
Diabetes Therapy.2021; 12(11): 2907. CrossRef
RANTES 59029A/G Polymorphisms Associated with Diabetic Compilations in Korean Patients with Type 2 Diabetes for over 15 Years
Dong-Hwa Lee, Eu-Jeong Ku, Tae-Keun Oh, Hyun-Jeong Jeon
Genes.2021; 12(9): 1445. CrossRef
Combination of Statin and Ezetimibe versus Statin Monotherapy on Cardiovascular Disease and Type 2 Diabetes Incidence among Adults with Impaired Fasting Glucose: a Propensity-Matched Nationwide Cohort Study
You-Bin Lee, Bongsung Kim, Kyungdo Han, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Journal of Lipid and Atherosclerosis.2021; 10(3): 303. CrossRef
A Century of Progress in Diabetes Care with Insulin: A History of Innovations and Foundation for the Future
Seung-Hwan Lee, Kun-Ho Yoon
Diabetes & Metabolism Journal.2021; 45(5): 629. CrossRef
Proteinuria as a significant predictive factor for the progression of carotid artery atherosclerosis in non-albuminuric type 2 diabetes
Young-eun Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-Wan Lee
Diabetes Research and Clinical Practice.2021; 181: 109082. CrossRef
Symptom Clusters and Quality of Life in Patients with Type 2 Diabetes Mellitus
Su-Yeon Hong, Yang-Sook Yoo
Korean Journal of Adult Nursing.2021; 33(5): 498. CrossRef
The association between triglyceride-glucose index, cardio-cerebrovascular diseases, and death in Korean adults: A retrospective study based on the NHIS-HEALS cohort
Joungyoun Kim, Sang-Jun Shin, Hee-Taik Kang, Claudio Passino
PLOS ONE.2021; 16(11): e0259212. CrossRef
Effect of Breastfeeding and Its Duration on Impaired Fasting Glucose and Diabetes in Perimenopausal and Postmenopausal Women: Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2019
Byung-Soo Kwan, In-Ae Cho, Ji-Eun Park
Medicines.2021; 8(11): 71. CrossRef
The Correlation between Carotid Intima-Media Thickness and Neutrophil to Lymphocyte Ratio in Prediabetes Patients
Dayoung Lee, Mi-Jeong Park, Mee Young Kim, Jung Jin Cho, Jong Lull Yoon
Korean Journal of Family Medicine.2021; 42(6): 464. CrossRef
Muscle strength, an independent determinant of glycemic control in older adults with long-standing type 2 diabetes: a prospective cohort study
Bo Kyung Koo, Seoil Moon, Min Kyong Moon
BMC Geriatrics.2021;[Epub] CrossRef
Restoration for the foregut surgery: bridging gaps between foregut surgery practice and academia
Ye-lim Shin, Shin-Hoo Park, Yeongkeun Kwon, Chang Min Lee, Sungsoo Park
Journal of Minimally Invasive Surgery.2021; 24(4): 175. CrossRef
Prevalence and Treatment of Diabetes in China, 2013-2018
Limin Wang, Wen Peng, Zhenping Zhao, Mei Zhang, Zumin Shi, Ziwei Song, Xiao Zhang, Chun Li, Zhengjing Huang, Xiaomin Sun, Linhong Wang, Maigeng Zhou, Jing Wu, Youfa Wang
JAMA.2021; 326(24): 2498. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Seung-Hyun Ko
The Journal of Korean Diabetes.2021; 22(4): 244. CrossRef
Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus
Sang Youl Rhee
Epidemiology and Health.2021; 43: e2021102. CrossRef
Associations between grip strength and glycemic control in type 2 diabetes mellitus: an analysis of data from the 2014-2019 Korea National Health and Nutrition Examination Survey
Harim Choe, Hoyong Sung, Geon Hui Kim, On Lee, Hyo Youl Moon, Yeon Soo Kim
Epidemiology and Health.2021; 43: e2021080. CrossRef

Review

Technology/Device
Present and Future of Digital Health in Diabetes and Metabolic Disease: Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl; Diabetes Metab J. 2020;44(6):819-827. Published online December 23, 2020; DOI: https://doi.org/10.4093/dmj.2020.0088

20,962 View
388 Download
33 Web of Science
36 Crossref

Abstract PDF PubReader ePub

The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

Citations

Citations to this article as recorded by

Health Behavior Protection Motivation and eHealth Literacy in Type 2 Diabetes Patients: A Cross-Sectional Study
Fang Chen, Juan Gao
Journal of Multidisciplinary Healthcare.2026; Volume 19: 1. CrossRef
Evaluation of the Validity and Usability of the Mobile Application for Early Detection of Metabolic Syndrome: A Cross-Sectional Study
Okti Sri Purwanti, Diaz Aziz Pramudita, Agus Sudaryanto, Tanjung Anita Sari Indah Kusmaningrum, Syarif Fathurozaq Wibowo, Ulfa Munawaroh Diniyah, Muhammad Hananfajri Rasyid, Danar Wasis Pambudi, Annisa Niken Larasati, Nimas Zuhrufana
Jurnal Berita Ilmu Keperawatan.2026; 19(1): 25. CrossRef
Digital Therapeutics for Diabetes and Obesity Management
Sang Youl Rhee
The Journal of Korean Diabetes.2026; 27(1): 28. CrossRef
Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis
Min Li, Shiyu Liu, Binyang Yu, Ning Li, Aili Lyu, Haiyan Yang, Haiyan He, Na Zhang, Jingru Ma, Meichen Sun, Hong Du, Rui Gao
Journal of Medical Internet Research.2025; 27: e63209. CrossRef
Glucagon-Like Peptide-1 Receptor Agonists Combined With Personalized Digital Health Care for the Treatment of Metabolic Syndrome in Adults With Obesity: Retrospective Observational Study
Hala Zakaria, Hadoun Jabri, Sheikha Alshehhi, Milena Caccelli, Joelle Debs, Yousef Said, Joudy Kattan, Noah Almarzooqi, Ali Hashemi, Ihsan Almarzooqi
Interactive Journal of Medical Research.2025; 14: e63079. CrossRef
Analyzing the Advantages of Digital Technologies for Managing Diabetes
Vasantha Galanki, Vinjamuri Krishna Manaswini, Guna Sekhara Venkata Satya Pavan Ganesh Kethineedi, Sagewin Moora
Biosciences Biotechnology Research Asia.2025; 22(1): 157. CrossRef
Prioritization of health distributed ledger technology use cases using fuzzy sine trigonometric based decision-making model
Muhammet Deveci, Dragan Pamucar, Andrei Vasilateanu, Gora Datta, Nicolae Goga, Constantin Viorel Marian, Ioan-Alexandru Bratosin, Umit Cali
Expert Systems with Applications.2025; 294: 128794. CrossRef
Disparities in trends of metabolic syndrome in Korea from 2007 to 2022 by age, sex, and lifestyle factors
Yaelim Kim, Yeonghun Choi, Kyu-Na Lee, Hyunji Sang, Kyungdo Han, Sunyoung Kim, Sang Youl Rhee
Scientific Reports.2025;[Epub] CrossRef
The Effectiveness of Telemedicine for Glycemic (Hba1c) Management of Patients with Diabetes Mellitus Type 2: A Meta-Analysis
Santy Irene Putri, Nisa'i Daramita Supriyono, Asruria Sani Fajriah, Prima Soultoni Akbar
Majalah Kesehatan Indonesia.2025;[Epub] CrossRef
Using digital tools to improve diabetes care in India with continuous glucose monitoring
Jothydev Kesavadev, Banshi Saboo, Manoj S. Chawla, Ambika Gopalakrishnan Unnikrishnan, Timothy C. Dunn, Mangesh Harihar Tiwaskar
Therapeutic Advances in Endocrinology and Metabolism.2025;[Epub] CrossRef
Comparative analysis of metabolic risks and related non-communicable disease burden across sociodemographic index regions from 1990 to 2021
Chunhui Ding, Jingjing Duan, Zinuo Yuan, Shiwei Sun, Ziwei Liu, Xiude Fan, Yongfeng Song
BMJ Open.2025; 15(8): e097748. CrossRef
The effect of online health management on type 2 diabetes mellitus: A systematic review and meta-analysis
Yiwei Qiu, Yao Tang, Yixuan Li, Li Cheng, Xu Wang, Baofeng Du, Ruhai Bai
Primary Care Diabetes.2025; 19(6): 561. CrossRef
Efficacy of Novel Drug Delivery Systems for Insulin Administration and Technological Advances in Diabetes Mellitus: Review
Hossamaldeen Bakrey, Mazin Aboobaida Abdalla Abdelaziz, Fatehalrahman Faris Magbool, Alaa Bakrey, Omer Ibrahim A. Omer, Israa Abdelrahim, Abdulkadir Abdu
AAPS PharmSciTech.2025;[Epub] CrossRef
Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Xiaoyan Zhang, Xue Qiao, Ke Peng, Shan Gao, Yufang Hao
International Journal of Behavioral Medicine.2024; 31(6): 959. CrossRef
Digital Health in Diabetes and Cardiovascular Disease
Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
Endocrine Research.2024; 49(3): 124. CrossRef
Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1. CrossRef
Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
Endocrinology and Metabolism.2024; 39(2): 344. CrossRef
Prediabetes in a French overseas territory: Clinical Characteristics, Risk Factors, and Implications for type 2 diabetes prevention
René Bun, Babacar Tounkara, Sébastien Leruste, Laurie Kichenapanaidou, Mathilde Simonson, Christine Kowalczyk, Jean-Marc Franco, Catherine Marimoutou, Estelle Nobécourt
Preventive Medicine Reports.2024; 47: 102893. CrossRef
Electronic health Literacy gaps among adults with diabetes in the United States: Role of socioeconomic and demographic factors
Aditya Nagori, Neil Keshvani, Lajjaben Patel, Ritika Dhruve, Andrew Sumarsono
Preventive Medicine Reports.2024; 47: 102895. CrossRef
A data-driven approach to manage type 2 diabetes mellitus through digital health: The Klivo Intervention Program protocol (KIPDM)
Camila Maciel de Oliveira, Luiza Borcony Bolognese, Mercedes Balcells, Davi Casale Aragon, Roberto Luis Zagury, Clemente Nobrega, Chunyu Liu, Dured Dardari
PLOS ONE.2023; 18(2): e0281844. CrossRef
Public Health Framework for Smart Cities within the Comprehensive Approach to Sustainability in Europe: Case Study of Diabetes
Luís Velez Lapão, Jorge César Correia, Marija Jevtic
Sustainability.2023; 15(5): 4269. CrossRef
Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review
Leona Kosowicz, Kham Tran, Toan Tran Khanh, Thu Ha Dang, Van An Pham, Hue Ta Thi Kim, Hoang Thi Bach Duong, Tran Dong Nguyen, Anh Tuyet Phuong, Trong Hieu Le, Van Anh Ta, Nilmini Wickramasinghe, Penelope Schofield, John Zelcer, Tuan Pham Le, Tuan Anh Nguy
Journal of Medical Internet Research.2023; 25: e43224. CrossRef
Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022
Zareen Thorlu-Bangura, Lydia Poole, Harpreet Sood, Nushrat Khan, Fiona Stevenson, Kamlesh Khunti, Paramjit Gill, Madiha Sajid, Wasim Hanif, Neeraj Bhala, Shivali Modha, Kiran Patel, Ann Blandford, Amitava Banerjee, Mel Ramasawmy
Journal of Public Health Policy.2023; 44(2): 179. CrossRef
Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature
Yan-kun Chen, Ting-ting Liu, Farah Khameis Farag Teia, Meng-zhou Xie
Frontiers in Endocrinology.2023;[Epub] CrossRef
Stakeholders’ Perceptions Regarding Digital Therapeutics Reimbursement in South Korea: Qualitative Study
Boram Sim, Jin Han Ju, Byungsoo Kim, Jin Yong Lee
JMIR mHealth and uHealth.2023; 11: e47407. CrossRef
Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review
Uroš Železnik, Peter Kokol, Jasmina Starc, Danica Železnik, Jernej Završnik, Helena Blažun Vošner
Healthcare.2023; 11(23): 3086. CrossRef
Analysis of the management and therapeutic performance of diabetes mellitus employing special target
Hong-Yan Sun, Xiao-Yan Lin
World Journal of Diabetes.2023; 14(12): 1721. CrossRef
Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review
Bárbara Luque, Joaquín Villaécija, Rosario Castillo-Mayén, Esther Cuadrado, Sebastián Rubio, Carmen Tabernero
Clínica y Salud.2022; 33(1): 35. CrossRef
Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
Mei Zhang, Xiaoxia Zhu, Jing Wu, Zhengjing Huang, Zhenping Zhao, Xiao Zhang, Yu Xue, Weiguo Wan, Chun Li, Wenrong Zhang, Linhong Wang, Maigeng Zhou, Hejian Zou, Limin Wang
Frontiers in Immunology.2022;[Epub] CrossRef
Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study
‪Yifat Fundoiano-Hershcovitz, Dror Bacher, Marilyn D Ritholz, David L Horwitz, Omar Manejwala, Pavel Goldstein
Journal of Medical Internet Research.2022; 24(2): e32923. CrossRef
The effectiveness of a structured group education programme for people with established type 2 diabetes in a multi-ethnic population in primary care: A cluster randomised trial
Helen Dallosso, Panna Mandalia, Laura J. Gray, Yogini V. Chudasama, Sopna Choudhury, Shahrad Taheri, Naina Patel, Kamlesh Khunti, Melanie J. Davies
Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(6): 1549. CrossRef
Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
Journal of Medical Internet Research.2022; 24(7): e37430. CrossRef
Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus—a study protocol
Noor Suleiman, Meis Alkasem, Zaina Al Amer, Obada Salameh, Noora Al-Thani, Mohammad Khair Hamad, Khaled Baagar, Ibrahem Abdalhakam, Manal Othman, Ragae Dughmosh, Dabia Al-Mohanadi, Ali Al Sanousi, Mohammed Bashir, Odette Chagoury, Shahrad Taheri, Abdul-Ba
Trials.2022;[Epub] CrossRef
Digital environment: An evolutionary component in environmental health
Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain
Journal of Public Health Research.2022;[Epub] CrossRef
Innovations in Cardio-oncology Resulting from the COVID-19 Pandemic
Lavanya Kondapalli, Garima Arora, Riem Hawi, Efstathia Andrikopoulou, Courtney Estes, Nirav Patel, Carrie G. Lenneman
Current Treatment Options in Oncology.2022; 23(9): 1288. CrossRef
Effects of peer support and mobile application-based walking programme on physical activity and physical function in rural older adults: a cluster randomized controlled trial
Xue Cai, Shanhu Qiu, Dan Luo, Ruxue Li, Chengyu Liu, Yanhui Lu, Cuirong Xu, Mingzi Li
European Geriatric Medicine.2022; 13(5): 1187. CrossRef

Original Articles

Cardiovascular Risk/Epidemiology
Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults: Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee; Diabetes Metab J. 2020;44(4):592-601. Published online April 20, 2020; DOI: https://doi.org/10.4093/dmj.2019.0104; Correction in: Diabetes Metab J 2020;44(5):783

11,283 View
176 Download
20 Web of Science
21 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

Recent studies suggest an association between diabetes and increased risk of heart failure (HF). However, the associations among obesity status, glycemic status, and risk of HF are not known. In this study, we analyzed whether the risk of HF increases in participants according to baseline glycemic status and whether this increased risk is associated with obesity status.

Methods

We analyzed the risk of HF according to baseline glycemic status (normoglycemia, impaired fasting glucose [IFG], and diabetes) in 9,720,220 Koreans who underwent Korean National Health Screening in 2009 without HF at baseline with a median follow-up period of 6.3 years. The participants were divided into five and six groups according to baseline body mass index (BMI) and waist circumference, respectively.

Results

Participants with IFG and those with diabetes showed a 1.08- and 1.86-fold increased risk of HF, respectively, compared to normoglycemic participants. Compared to the normal weight group (BMI, 18.5 to 22.9 kg/m²), the underweight group (BMI <18.5 kg/m²) showed a 1.7-fold increased risk of HF, and those with BMI ≥30 kg/m² showed a 1.1-fold increased risk of HF, suggesting a J-shaped association with BMI. When similar analyses were performed for different glycemic statuses, the J-shaped association between BMI and HF risk was consistently observed in both groups with and without diabetes.

Conclusion

Participants with IFG and diabetes showed a significantly increased HF risk compared to normoglycemic participants. This increased risk of HF was mostly prominent in underweight and class II obese participants than in participants with normal weight.

Citations

Citations to this article as recorded by

Combined effects of glycemic status and adiposity on cardiovascular risk in chronic kidney disease: A nationwide population-based study
Eun Hui Bae, Sang Yup Lim, Bong Seong Kim, Kyungdo Han, Sang Heon Suh, Hong Sang Choi, Eun Mi Yang, Chang Seong Kim, Seong Kwon Ma, Soo Wan Kim
World Journal of Diabetes.2026;[Epub] CrossRef
Correlation Between Prognostic Nutritional Index and Heart Failure in Adults with Diabetes in the United States: Study Results from NHANES (1999–2016)
Qiyuan Bai, Hao Chen, Zhen Gao, Xuhua Li, Jiapeng Li, Shidong Liu, Bing Song, Cuntao Yu
Reviews in Cardiovascular Medicine.2025;[Epub] CrossRef
Association between underweight and risk of heart failure in diabetes patients
Tae Kyung Yoo, Kyung‐Do Han, Eun‐Jung Rhee, Won‐Young Lee
Journal of Cachexia, Sarcopenia and Muscle.2024; 15(2): 671. CrossRef
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef
Research on obesity using the National Health Information Database: recent trends
Eun-Jung Rhee
Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35. CrossRef
Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Diabetology.2023;[Epub] CrossRef
Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2023; 47(6): 846. CrossRef
Characterization of the oxidative stress and inflammatory markers in metabolically healthy obese individuals
Hazhmat Ali
Al-Kufa University Journal for Biology.2023; 15(3): 28. CrossRef
The Influence of Obesity and Metabolic Health on Vascular Health
Eun-Jung Rhee
Endocrinology and Metabolism.2022; 37(1): 1. CrossRef
Changes in Patterns of Physical Activity and Risk of Heart Failure in Newly Diagnosed Diabetes Mellitus Patients
Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2022; 46(2): 327. CrossRef
Evaluating Triglyceride and Glucose Index as a Simple and Easy-to-Calculate Marker for All-Cause and Cardiovascular Mortality
Kyung-Soo Kim, Sangmo Hong, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
Journal of General Internal Medicine.2022; 37(16): 4153. CrossRef
Impact of hypoglycemia at the time of hospitalization for heart failure from emergency department on major adverse cardiovascular events in patients with and without type 2 diabetes
Seon-Ah Cha, Jae-Seung Yun, Gee-Hee Kim, Yu-Bae Ahn
Cardiovascular Diabetology.2022;[Epub] CrossRef
Insulin resistance and heart failure with preserved ejection fraction. Pathogenetic and therapeutic crossroads
O. V. Tsygankova, N. E. Evdokimova, V. V. Veretyuk, L. D. Latyntseva, A. S. Ametov
Diabetes mellitus.2022; 25(6): 535. CrossRef
The association between metabolic syndrome and heart failure in middle-aged male and female: Korean population-based study of 2 million individuals
Tae-Eun Kim, Hyeongsu Kim, JiDong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Sung Hea Kim, Kyu-Hyung Ryu
Epidemiology and Health.2022; 44: e2022078. CrossRef
Diabetes and Heart Failure
Eun-Jung Rhee
The Journal of Korean Diabetes.2021; 22(1): 12. CrossRef
Prediabetes and the risk of heart failure: A meta‐analysis
Xiaoyan Cai, Xiong Liu, Lichang Sun, Yiting He, Sulin Zheng, Yang Zhang, Yuli Huang
Diabetes, Obesity and Metabolism.2021; 23(8): 1746. CrossRef
Diabetes and Heart Failure
Eun-Jung Rhee
Cardiovascular Prevention and Pharmacotherapy.2021; 3(2): 21. CrossRef
Effects of Lipid Overload on Heart in Metabolic Diseases
An Yan, Guinan Xie, Xinya Ding, Yi Wang, Liping Guo
Hormone and Metabolic Research.2021; 53(12): 771. CrossRef
Obesity Degree and Glycemic Status: Factors That Should Be Considered in Heart Failure
Hye Soon Kim
Diabetes & Metabolism Journal.2020; 44(4): 529. CrossRef
Letter: Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults (Diabetes Metab J 2020;44:592-601)
Darae Kim
Diabetes & Metabolism Journal.2020; 44(5): 777. CrossRef
Response: Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults (Diabetes Metab J 2020;44:592-601)
Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2020; 44(5): 781. CrossRef

Complications
Deterioration of Sleep Quality According to Glycemic Status: Myung Haeng Hur, Mi-Kyoung Lee, Kayeon Seong, Jun Hwa Hong; Diabetes Metab J. 2020;44(5):679-686. Published online April 17, 2020; DOI: https://doi.org/10.4093/dmj.2019.0125

13,457 View
164 Download
12 Web of Science
18 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

Type 2 diabetes mellitus (T2DM) is a progressive disease with multiple complications. The present study aimed to determine the effects of glycemic status on sleep quality in individuals with T2DM, prediabetes, and normal glucose tolerance (NGT).

Methods

A total of 90 participants were categorized into three groups, T2DM (n=30), prediabetes (n=30), and NGT (n=30). Objective sleep quality was measured with the actigraph wrist-worn device over 3 nights and subjective sleep quality was evaluated with a questionnaire.

Results

The duration of diabetes in the T2DM group was 2.23 years and the glycosylated hemoglobin (HbA1c) levels in the T2DM, prediabetes, and NGT groups were 7.83%, 5.80%, and 5.31%, respectively. Sleep efficiency decreased across the T2DM, prediabetes, and NGT groups (86.25%, 87.99%, and 90.22%, respectively; P=0.047). Additionally, HbA1c levels revealed a significant negative correlation with sleep efficiency (r=−0.348, P=0.001). The sleep quality questionnaire results were similar among the three groups.

Conclusion

Although the participants in the present study were not necessarily conscious of their sleep disturbances, deterioration in sleep quality progressed according to glycemic status.

Citations

Citations to this article as recorded by

The interface of depression and diabetes: treatment considerations
Giuseppe Fanelli, Emanuel Raschi, Gaye Hafez, Silke Matura, Carmen Schiweck, Elisabetta Poluzzi, Carlotta Lunghi
Translational Psychiatry.2025;[Epub] CrossRef
The association between insomnia (related symptoms) and glycaemic control: a systematic review and meta-analysis
Yiming Chen, Enyu Tong, Yufeng Rao, Evan YW Yu, Maurice Zeegers, Anke Wesselius
Journal of Global Health.2025;[Epub] CrossRef
The potential impact of habitual sleep quality on glycaemic control and inflammation: A study on geriatric patients recently diagnosed with type 2 diabetes mellitus (T2DM)
Nadia Hussain, Amal Hussain Ibrahim Al Haddad, Saima Abbass, Zina Alfahl
Sleep Medicine: X.2025; 9: 100139. CrossRef
Diyabet Tiplerine Göre Yaşam Kalitesi, Fiziksel Aktivite ve Uyku Düzeylerinin Karşılaştırılması
Abdurrahim Yıldız, Salih Buğra Özdemir, Emircan Kökcü, Fevziye Türkoğlu Genç
Journal of Innovative Healthcare Practices.2025; 6(1): 19. CrossRef
Association Between Non-adherence to Diabetes Management and Poor Sleep Quality Based on the Korean Community Health Survey
Horim A. Hwang, Hyunsuk Jeong, Hyeon Woo Yim
Journal of Preventive Medicine and Public Health.2025; 58(3): 260. CrossRef
Diabetic kidney disease in rural Australia: prevention, management, treatment and way forward
Allen G. Ross, Utpal K. Mondal, Anayochukwu E. Anyasodor, Shakeel Mahmood, Feleke H. Astawesegn, M. Mamun Huda, Subash Thapa, Setognal B. Aychiluhm, Santosh Giri, Md. Ferdous Rahman, Muhammad J. A. Shiddiky, Mohammad A. Moni, Kedir Y. Ahmed
Frontiers in Medicine.2025;[Epub] CrossRef
Insulin resistance, depression, and type 2 diabetes
A.A. Serhiyenko, O.M. Chemerys, V.I. Pankiv, V.A. Serhiyenko
INTERNATIONAL NEUROLOGICAL JOURNAL.2025; 21(6): 431. CrossRef
Risk factors of non communicable diseases among recently diagnosed diabetic patients in a tertiary care Hospital
Yusra Amin, Sonia Mushtaq, Rukhsana Farooq
Indian Journal of Clinical Anatomy and Physiology.2024; 10(4): 205. CrossRef
Metabolic health tracking using Ultrahuman M1 continuous glucose monitoring platform in non- and pre-diabetic Indians: a multi-armed observational study
Monik Chaudhry, Mohit Kumar, Vatsal Singhal, Bhuvan Srinivasan
Scientific Reports.2024;[Epub] CrossRef
Influence of sleep quality and other associated factors on glycemic control among diabetic patients: A hospital-based study
Sonia Mushtaq, Yusra Amin, Rukhsana Taj, Umara Giyas, Sunil Sachadev
Indian Journal of Clinical Anatomy and Physiology.2024; 11(1): 32. CrossRef
Interventional effects of Pueraria oral liquid on T2DM rats and metabolomics analysis
Hong-Bo Yang, Jie-Yu Song, Chan Xu, Jin Li, Chan Zhang, Sun Xie, Chun-li Teng
Biomedicine & Pharmacotherapy.2024; 175: 116780. CrossRef
Replacing sedentary time with sleep and physical activity: associations with physical function and wellbeing in Type 2 diabetes
Alix Covenant, Thomas Yates, Alex V. Rowlands, Paddy C. Dempsey, Charlotte L. Edwardson, Andrew P. Hall, Melanie J. Davies, Joseph Henson
Diabetes Research and Clinical Practice.2024; 217: 111886. CrossRef
Relation between sleep quality and glycemic control among type 2 diabetic patients
Asmaa Ali Elsayed Ali
Frontiers of Nursing.2023; 10(1): 115. CrossRef
Heart rate variability in different sleep stages is associated with metabolic function and glycemic control in type 2 diabetes mellitus
Wenquan Cheng, Hongsen Chen, Leirong Tian, Zhimin Ma, Xingran Cui
Frontiers in Physiology.2023;[Epub] CrossRef
Association Between Diabetic Retinopathy and Insomnia Risk: A Nationwide Population-Based Study
Yoo Hyun Um, Tae-Won Kim, Jong-Hyun Jeong, Seung-Chul Hong, Ho-Jun Seo, Kyung-Do Han
Frontiers in Endocrinology.2022;[Epub] CrossRef
Nutritional Biomarkers and Factors Correlated with Poor Sleep Status among Young Females: A Case-Control Study
Sara AL-Musharaf, Lama AlAjllan, Ghadeer Aljuraiban, Munirah AlSuhaibani, Noura Alafif, Syed Danish Hussain
Nutrients.2022; 14(14): 2898. CrossRef
The impact of sleep disorders on microvascular complications in patients with type 2 diabetes (SLEEP T2D): the protocol of a cohort study and feasibility randomised control trial
Christina Antza, Ryan Ottridge, Smitaa Patel, Gemma Slinn, Sarah Tearne, Matthew Nicholls, Brendan Cooper, Asad Ali, Abd A. Tahrani
Pilot and Feasibility Studies.2021;[Epub] CrossRef
Early Development of Bidirectional Associations between Sleep Disturbance and Diabetes
Yongin Cho
Diabetes & Metabolism Journal.2020; 44(5): 668. CrossRef

Complications
Association of Snoring with Prediabetes and Type 2 Diabetes Mellitus: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort: So Mi Jemma Cho, Hokyou Lee, Jee-Seon Shim, Hyeon Chang Kim; Diabetes Metab J. 2020;44(5):687-698. Published online April 16, 2020; DOI: https://doi.org/10.4093/dmj.2019.0128

10,363 View
142 Download
14 Web of Science
14 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

Evidence suggests that habitual snoring is an independent risk factor for poor glycemic health. We examined the associations between snoring with prediabetes and diabetes in Korean population.

Methods

Self-reported snoring characteristics were collected from 3,948 middle-aged adults without prior cardiovascular diseases. Multivariable linear regression assessed the association of snoring intensity, frequency, disruptiveness, and disrupted breathing with fasting glucose and glycosylated hemoglobin (HbA1c) level. Then, multinomial regression evaluated how increasing snoring symptoms are associated with the risk for prediabetes and diabetes, adjusting for socioeconomic and behavioral risk factors of diabetes, obesity, hypertension, and other sleep variables.

Results

Higher snoring intensity and frequency were positively associated with fasting glucose and HbA1c levels. Participants presenting the most severe snoring were at 1.84 times higher risk (95% confidence interval [CI], 1.09 to 2.29) for prediabetes and 2.24 times higher risk (95% CI, 1.84 to 2.95) for diabetes, compared to non-snorers. Such graded association was also observed amongst the most frequent snorers with higher risk for prediabetes (odds ratio [OR], 1.78; 95% CI, 1.29 to 2.22) and diabetes (OR, 2.03; 95% CI, 1.45 to 2.85). Disruptive snoring (OR, 1.60; 95% CI, 1.12 to 2.28) and near-daily disruptive breathing (OR, 2.18; 95% CI, 1.02 to 4.19) were associated with higher odds for diabetes. Such findings remained robust after additional adjustment for sleep duration, excessive daytime sleepiness, unwakefulness, and sleep-deprived driving.

Conclusion

Snoring is associated with impaired glucose metabolism even in otherwise metabolically healthy adults. Habitual snorers may require lifestyle modifications and pharmacological treatment to improve glycemic profile.

Citations

Citations to this article as recorded by

Factors Associated With Obstructive Sleep Apnea Among Community-Based Overweight and Obese Type 2 Diabetes Mellitus Patients: A Multisite Cross-Sectional Study
Mei-Hsiang Lin, Ping-Ru Hsiao, Ning-Hung Chen, Chao-Chung Ho, Hsiu-Chin Hsu
Biological Research For Nursing.2026;[Epub] CrossRef
Classification and identification of risk factors for type 2 diabetes
Shan-Shan Tang, Xue-Fei Zhao, Xue-Dong An, Wen-Jie Sun, Xiao-Min Kang, Yu-Ting Sun, Lin-Lin Jiang, Qing Gao, Ze-Hua Li, Hang-Yu Ji, Feng-Mei Lian
World Journal of Diabetes.2025;[Epub] CrossRef
Prediabetes and sleep patterns: Linking poor sleep to adverse outcomes through metabolic syndrome
Zixuan Huang, Jie Deng, Hang Li, Shubin Fang, Yi Wei, Wenbin Lei, Weiping Wen, Lin Chen
Diabetes Research and Clinical Practice.2025; 221: 112044. CrossRef
The association between husband-reported snoring and gestational diabetes mellitus: a study of sleep-disordered breathing in pregnancy
Farideh Mohsenzadeh-Ledari, Mouloud Agajani Delavar, Maryam Nikpour, Seddigheh Esmaeilzadeh, Soraya Khafri
Journal of Diabetes & Metabolic Disorders.2025;[Epub] CrossRef
The impact of psychosocial determinants of HbA1c level: Implications for social work care management
Yong-Mi Kim, Chie Noyori-Corbett
Social Work in Health Care.2025; 64(9-10): 271. CrossRef
Exploring the Link Between Obstructive Sleep Apnea and Diabetes Mellitus: A Retrospective Single-Center Analysis
Mara Andreea Vultur, Dragoș Huțanu, Edith Simona Ianoși, Hédi-Katalin Sárközi, Corina Eugenia Budin, Maria Beatrice Ianoși, Mioara Szathmáry, Gabriela Jimborean
Biomedicines.2025; 13(9): 2261. CrossRef
Identifying sleep patterns as a synthetic signature in metabolic comorbidities using a stratified medicine approach
Shizhen Zhang, Qian Qin, Zhuoqing Wu, Lin Wang, Suying Ding, Jingfeng Chen
BMC Public Health.2025;[Epub] CrossRef
Does seasonality affect snoring? A study based on international data from the past decade
Ping Wang, Cai Chen, Xingwei Wang, Ningling Zhang, Danyang Lv, Wei Li, Fulai Peng, Xiuli Wang
Sleep and Breathing.2023; 27(4): 1297. CrossRef
Association Between Snoring and Diabetes Among Pre- and Postmenopausal Women
Yun Yuan, Fan Zhang, Jingfu Qiu, Liling Chen, Meng Xiao, Wenge Tang, Qinwen Luo, Xianbin Ding, Xiaojun Tang
International Journal of General Medicine.2022; Volume 15: 2491. CrossRef
Elevated fasting insulin results in snoring: A view emerged from causal evaluation of glycemic traits and snoring
Minhan Yi, Quanming Fei, Kun Liu, Wangcheng Zhao, Ziliang Chen, Yuan Zhang
European Journal of Clinical Investigation.2022;[Epub] CrossRef
Sleeping Duration, Napping and Snoring in Association with Diabetes Control among Patients with Diabetes in Qatar
Hiba Bawadi, Asma Al Sada, Noof Al Mansoori, Sharifa Al Mannai, Aya Hamdan, Zumin Shi, Abdelhamid Kerkadi
International Journal of Environmental Research and Public Health.2021; 18(8): 4017. CrossRef
Changes in creatinine‐to‐cystatin C ratio over 4 years, risk of diabetes, and cardiometabolic control: The China Health and Retirement Longitudinal Study
Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
Journal of Diabetes.2021; 13(12): 1025. CrossRef
Association Between Self-Reported Snoring and Metabolic Syndrome: A Systematic Review and Meta-Analysis
Jinsha Ma, Huifang Zhang, Hui Wang, Qian Gao, Heli Sun, Simin He, Lingxian Meng, Tong Wang
Frontiers in Neurology.2020;[Epub] CrossRef
Early Development of Bidirectional Associations between Sleep Disturbance and Diabetes
Yongin Cho
Diabetes & Metabolism Journal.2020; 44(5): 668. CrossRef

Short Communication

Epidemiology
Low-Normal Free Thyroxine Levels in Euthyroid Male Are Associated with Prediabetes: Sung Woo Kim, Jae-Han Jeon, Jun Sung Moon, Eon Ju Jeon, Mi-Kyung Kim, In-Kyu Lee, Jung Beom Seo, Keun-Gyu Park; Diabetes Metab J. 2019;43(5):718-726. Published online March 19, 2019; DOI: https://doi.org/10.4093/dmj.2018.0222

7,808 View
66 Download
6 Web of Science
3 Crossref

Abstract PDF Supplementary Material PubReader ePub

Abnormal thyroid function is associated with impaired glucose homeostasis. This study aimed to determine whether free thyroxine (FT4) influences the prevalence of prediabetes in euthyroid subjects using a cross-sectional survey derived from the Korea National Health and Nutrition Examination Survey, conducted between 2013 and 2015. We studied 2,399 male participants of >20 years of age who were euthyroid and non-diabetic. Prediabetic participants had lower FT4 concentrations than those without prediabetes, but their thyrotropin concentrations were similar. We stratified the population into tertiles according to FT4 concentration. After adjusting for multiple confounding factors, glycosylated hemoglobin (HbA1c) levels significantly decreased with increasing FT4 tertile, whereas fasting plasma glucose (FPG) levels were not associated with FT4 tertiles (HbA1c, P<0.01 in T3 vs. T1; FPG, P=0.489 in T3 vs. T1). The prevalence of prediabetes was significantly higher in T1 (odds ratio, 1.426; 95% confidence interval, 1.126 to 1.806; P<0.01) than in T3. In conclusion, subjects with low-normal serum FT4 had high HbA1c and were more likely to have prediabetes. These results suggest that low FT4 concentration is a risk factor for prediabetes in male, even when thyroid function is within the normal range.

Citations

Citations to this article as recorded by

Nonlinear Association Between THs, TSH, and HbA1c in Patients With Type 2 Diabetes Mellitus: A Retrospective Study
Mengjie Chen, Yuqin Gan, Fengxiang Tian, Yun Bao, Zhonglan Chen
Journal of Diabetes.2026;[Epub] CrossRef
Hypothyroidism: playing the cardiometabolic risk concerto
George J. Kahaly, Youshuo Liu, Luca Persani
Thyroid Research.2025;[Epub] CrossRef
Correlation between thyroid hormone values and anemia in elderly patients with diabetic nephropathy.
Jingjing Yu, Keke Tang, Yan Song
Investigación Clínica.2025; 66(2): 157. CrossRef

Original Articles

Epidemiology
Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults: Jieun Lee, Young Ah Lee, Jae Hyun Kim, Seong Yong Lee, Choong Ho Shin, Sei Won Yang; Diabetes Metab J. 2019;43(2):174-182. Published online November 2, 2018; DOI: https://doi.org/10.4093/dmj.2018.0046

13,094 View
98 Download
13 Web of Science
15 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

Glycosylated hemoglobin (HbA1c) has been recommended as a diagnostic test for prediabetes and diabetes. Here, we evaluated the level of agreement between diagnoses based on fasting plasma glucose (FPG) versus HbA1c levels and determined optimal HbA1c cutoff values for these diseases in youth and young adults.

Methods

The study included 7,332 subjects (n=4,129, aged 10 to 19 years in youth group; and n=3,203 aged 20 to 29 years in young adult group) from the 2011 to 2016 Korea National Health and Nutrition Examination Survey. Prediabetes and diabetes were defined as 100 to 125 mg/dL (impaired fasting glucose [IFG]) and ≥126 mg/dL for FPG (diabetes mellitus [DM] by FPG [DM_FPG]), and 5.7% to 6.4% and ≥6.5% for HbA1c, respectively.

Results

In the youth group, 32.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 72.2% with DM_FPG had an HbA1c ≥6.5%. In the young adult group, 27.5% with IFG had an HbA1c level of 5.7% to 6.4%, and 66.6% with DM_FPG had an HbA1c ≥6.5%. Kappa coefficients for agreement between the FPG and HbA1c results were 0.12 for the youth group and 0.19 for the young adult group. In receiver operating characteristic curve analysis, the optimal HbA1c cutoff for IFG and DM_FPG were 5.6% and 5.9% in youths and 5.5% and 5.8% in young adults, respectively.

Conclusion

Usefulness of HbA1c for diagnosis of IFG and DM_FPG in Koreans aged <30 years remains to be determined due to discrepancies between the results of glucose- and HbA1c-based tests. Additional testing might be warranted at lower HbA1c levels to detect IFG and DM_FPG in this age group.

Citations

Citations to this article as recorded by

Validity of hemoglobin A1C for screening prediabetes and diabetes in the Iranian population: analysis of National surveillance data
Mona Talaschian, Samaneh Asgari, Maryam Tohidi, Fereidoun Azizi, Korosh Etemad, Farzad Hadaegh, Davood Khalili
Scientific Reports.2026;[Epub] CrossRef
Clinical utility of glycated albumin and 1,5-anhydroglucitol in the screening and prediction of diabetes: A multi-center study
Kam-Ching Ku, Junda Zhong, Erfei Song, Carol Ho-Yi Fong, Karen Siu-Ling Lam, Aimin Xu, Chi-Ho Lee, Chloe Yu-Yan Cheung
World Journal of Diabetes.2025;[Epub] CrossRef
Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models
Ekta Tiwari, Siddharth Gupta, Anudeep Pavulla, Mustafa Al-Maini, Rajesh Singh, Esma R. Isenovic, Sumit Chaudhary, John L. Laird, Laura Mantella, Amer M. Johri, Luca Saba, Jasjit S. Suri
Biomedical Signal Processing and Control.2025; 106: 107672. CrossRef
Lower Dietary Magnesium Is Associated with a Higher Hemoglobin Glycation Index in the National Health and Nutrition Examination Survey
Juan Chen, Song Lin, Xingzhou Wang, Xiwei Wang, Pengxia Gao
Biological Trace Element Research.2024; 202(3): 878. CrossRef
Glycemic traits and colorectal cancer survival in a cohort of South Korean patients: A Mendelian randomization analysis
So Yon Jun, Sooyoung Cho, Min Jung Kim, Ji Won Park, Seung‐Bum Ryoo, Seung Yong Jeong, Kyu Joo Park, Aesun Shin
Cancer Medicine.2024;[Epub] CrossRef
Prevalence and clinical correlates of impaired fasting blood glucose in children and adolescents with depressive disorder and relationship with triglyceride and high-density lipoprotein ratio
Zhiwei Liu, Liang Sun, Feng Sun, Shu Cui, Yulong Zhang, Juan Wang, Zhaokun Zhang, Longlong Sun, Rongchun Yang, Gaofeng Yao, Yun Liu
Scientific Reports.2024;[Epub] CrossRef
Associations between HbA1c-derived estimated average glucose and fasting plasma glucose in patients with normal and abnormal hemoglobin patterns
Wilaiwan Sriwimol, Phattanapong Choosongsang, Pensiri Choosongsang, Warakorn Petkliang, Pittaya Treerut
Scandinavian Journal of Clinical and Laboratory Investigation.2022; 82(3): 192. CrossRef
Increasing prevalence of fasting hyperglycemia in adolescents aged 10–18 years and its relationship with metabolic indicators: the Korea National Health and Nutrition Examination Study (KNHANES), 2007–2018
Seung Eun Yoo, Ji Hyen Lee, Jung Won Lee, Hye Sook Park, Hye Ah Lee, Hae Soon Kim
Annals of Pediatric Endocrinology & Metabolism.2022; 27(1): 60. CrossRef
Differences in Clinical Indicators of Diabetes, Hypertension, and Dyslipidemia Among Workers Who Worked Long Hours and Shift Work
EunKyo Kang
Workplace Health & Safety.2021; 69(6): 268. CrossRef
Practice Patterns in the Acceptance of Medically Complex Living Kidney Donors with Obesity, Hypertension, Family History of Kidney Disease, or Donor-Recipient Age Discrepancy
Ziad Arabi, Muhammad Bukhari, Abdullah Hamad, Abdulrahman Altheaby, Saleh Kaysi
Avicenna Journal of Medicine.2021; 11(04): 172. CrossRef
Endocrine comorbidities of pediatric obesity
Jieun Lee, Jae Hyun Kim
Clinical and Experimental Pediatrics.2021; 64(12): 619. CrossRef
Association between handgrip strength and cardiovascular risk factors among Korean adolescents
Kyoung Kon Kim, Kyu Rae Lee, In Cheol Hwang
Journal of Pediatric Endocrinology and Metabolism.2020; 33(9): 1213. CrossRef
Hypertriglyceridemia is associated with long-term risk of cardiovascular events and specific comorbidity in very high-risk hypertensive patients
O. Ya. Korolyuk, O. M. Radchenko
The Ukrainian Biochemical Journal.2020; 92(2): 8. CrossRef
The Effect of Bariatric Surgery on Weight Loss and Metabolic Changes in Adults with Obesity
Stanisław Głuszek, Arkadiusz Bociek, Edyta Suliga, Jarosław Matykiewicz, Magdalena Kołomańska, Piotr Bryk, Przemysław Znamirowski, Łukasz Nawacki, Martyna Głuszek-Osuch, Iwona Wawrzycka, Dorota Kozieł
International Journal of Environmental Research and Public Health.2020; 17(15): 5342. CrossRef
Peculiarities of Clinical Presentations and Long–Term Complications in Patients with Coronary Artery Disease and Metabolic Syndrome, depending on their Serum Triglyceride Levels
O. Ya. Korolyuk
Ukraïnsʹkij žurnal medicini, bìologìï ta sportu.2020; 5(1): 125. CrossRef

Clinical Diabetes and Therapeutics
Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study: Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo; Diabetes Metab J. 2019;43(1):49-58. Published online November 2, 2018; DOI: https://doi.org/10.4093/dmj.2018.0033

11,094 View
175 Download
15 Web of Science
19 Crossref

Abstract PDF PubReader ePub

Background

The prevalence of diabetes mellitus (DM) continues to increase, and the disease burden is the highest of any medical condition in Korea. However, large-scale clinical studies have not yet conducted to establish the basis for diabetes prevention in Korea.

Methods

The hospital-based Korean Diabetes Prevention Study (H-KDPS) is a prospective, multi-center, randomized, open-label controlled study conducted at university hospitals for the purpose of gathering data to help in efforts to prevent type 2 DM. Ten university hospitals are participating, and 744 subjects will be recruited. The subjects are randomly assigned to the standard care group, lifestyle modification group, or metformin group, and their clinical course will be observed for 36 months.

Results

All intervention methodologies were developed, validated, and approved by Korean Diabetes Association (KDA) multi-disciplinary team members. The standard control group will engage in individual education based on the current KDA guidelines, and the lifestyle modification group will participate in a professionally guided healthcare intervention aiming for ≥5% weight loss. The metformin group will begin dosing at 250 mg/day, increasing to a maximum of 1,000 mg/day. The primary endpoint of this study is the cumulative incidence of DM during the 3 years after randomization.

Conclusion

The H-KDPS study is the first large-scale clinical study to establish evidence-based interventions for the prevention of type 2 DM in Koreans. The evidence gathered by this study will be useful for enhancing the health of Koreans and improving the stability of the Korean healthcare system (Trial registration: CRIS KCT0002260, NCT02981121).

Citations

Citations to this article as recorded by

Effects of a multi-component program based on partially hydrolyzed guar gum (Sunfiber®) on glycemic control in South Korea: a single-arm, pre-post comparison pilot clinical trial
Hyoung Su Park, A-Hyun Jeong, Hyejung Hong, Hana Jang, Hye-Jin Kim
Korean Journal of Community Nutrition.2025; 30(1): 40. CrossRef
Medical Nutrition Therapy as a Hospital-Based Lifestyle Modification in the Korean Diabetes Prevention Study
Ji Hye Choi, Jung-Hwa Lee, Suk Chon
The Journal of Korean Diabetes.2025; 26(1): 39. CrossRef
2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
Diabetes & Metabolism Journal.2025; 49(4): 582. CrossRef
Clinically Practical and Affordable Lifestyle Modification to Prevent Diabetes Mellitus in Real Practice
Inji Lee, Minji Kang, Ji Hye Choi, Hyunjung Lim, Suk Chon
Diabetes & Metabolism Journal.2025; 49(5): 951. CrossRef
Bridging Evidence and Practice: A Consensus Statement from the Korean Diabetes Association on Diabetes Screening, Pharmacological Treatment and Severe Diabetes
Jong Han Choi, Shinae Kang, Soo-Kyung Kim, Won Jun Kim, Ji Min Kim, Jaehyun Bae, Jae-Seung Yun, Eonju Jeon, Young-Eun Kim, Jae Hyun Bae, Hun Jee Choe, Young Min Cho, Seung-Hyun Ko, Sang Yong Kim, Hae Jin Kim, You-Cheol Hwang, Min Kyong Moon, Suk Chon, Seo
Diabetes & Metabolism Journal.2025; 49(6): 1155. CrossRef
Estimating insulin sensitivity and β-cell function from the oral glucose tolerance test: validation of a new insulin sensitivity and secretion (ISS) model
Joon Ha, Stephanie T. Chung, Max Springer, Joon Young Kim, Phil Chen, Aaryan Chhabra, Melanie G. Cree, Cecilia Diniz Behn, Anne E. Sumner, Silva A. Arslanian, Arthur S. Sherman
American Journal of Physiology-Endocrinology and Metabolism.2024; 326(4): E454. CrossRef
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
Journal of Health Informatics and Statistics.2023; 48(1): 36. CrossRef
Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
Journal of Personalized Medicine.2022; 12(11): 1899. CrossRef
Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea
Jin-Hee Lee, Suk Chon, Seon-Ah Cha, Sun-Young Lim, Kook-Rye Kim, Jae-Seung Yun, Sang Youl Rhee, Kun-Ho Yoon, Yu-Bae Ahn, Jeong-Taek Woo, Seung-Hyun Ko
The Korean Journal of Internal Medicine.2021; 36(2): 382. CrossRef
Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort
Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang
Diabetes & Metabolism Journal.2021; 45(4): 515. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
Diabetes & Metabolism Journal.2021; 45(4): 461. CrossRef
Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
Diabetes & Metabolism Journal.2021; 45(6): 960. CrossRef
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Seung-Hyun Ko
The Journal of Korean Diabetes.2021; 22(4): 244. CrossRef
Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
Seon‐Ah Cha, Suk Chon, Jae‐Seung Yun, Sang Youl Rhee, Sun‐Young Lim, Kun‐Ho Yoon, Yu‐Bae Ahn, Seung‐Hyun Ko, Jeong‐Taek Woo, Jin‐Hee Lee
Diabetes/Metabolism Research and Reviews.2020;[Epub] CrossRef
How was the Diabetes Metabolism Journal added to MEDLINE?
Hye Jin Yoo
Science Editing.2020; 7(2): 201. CrossRef
Commercial Postural Devices: A Review
Nicole Kah Mun Yoong, Jordan Perring, Ralph Jasper Mobbs
Sensors.2019; 19(23): 5128. CrossRef
Changes in Metabolic Profile Over Time: Impact on the Risk of Diabetes
Yunjung Cho, Seung-Hwan Lee
Diabetes & Metabolism Journal.2019; 43(4): 407. CrossRef
Metformin for prevention or delay of type 2 diabetes mellitus and its associated complications in persons at increased risk for the development of type 2 diabetes mellitus
Kasper S Madsen, Yuan Chi, Maria-Inti Metzendorf, Bernd Richter, Bianca Hemmingsen
Cochrane Database of Systematic Reviews.2019;[Epub] CrossRef

Epidemiology
Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status: Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee; Diabetes Metab J. 2018;42(5):415-424. Published online August 9, 2018; DOI: https://doi.org/10.4093/dmj.2018.0017

19,225 View
112 Download
80 Web of Science
83 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background

This report presents the recent prevalence and comorbidities related to diabetes in Korea by analyzing the nationally representative data.

Methods

Using data from the Korea National Health and Nutrition Examination Survey for 2013 to 2014, the percentages and the total number of subjects over the age of 30 years with diabetes and prediabetes were estimated and applied to the National Population Census in 2014. Diagnosis of diabetes was based on fasting plasma glucose (≥126 mg/dL), current taking of antidiabetic medication, history of previous diabetes, or glycosylated hemoglobin (HbA1c) ≥6.5%. Impaired fasting glucose (IFG) was defined by fasting plasma glucose in the range of 100 to 125 mg/dL among those without diabetes.

Results

About 4.8 million (13.7%) Korean adults (≥30 years old) had diabetes, and about 8.3 million (24.8%) Korean adults had IFG. However, 29.3% of the subjects with diabetes are not aware of their condition. Of the subjects with diabetes, 48.6% and 54.7% were obese and hypertensive, respectively, and 31.6% had hypercholesterolemia. Although most subjects with diabetes (89.1%) were under medical treatment, and mostly being treated with oral hypoglycemic agents (80.2%), 10.8% have remained untreated. With respect to overall glycemic control, 43.5% reached the target of HbA1c <7%, whereas 23.3% reached the target when the standard was set to HbA1c <6.5%, according to the Korean Diabetes Association guideline.

Conclusion

Diabetes is a major public health threat in Korea, but a significant proportion of adults were not controlling their illness. We need comprehensive approaches to overcome the upcoming diabetes-related disease burden in Korea.

Citations

Citations to this article as recorded by

Low socioeconomic status as a major risk factor for early-onset type 2 diabetes with limited lifestyle mediation: Cross-Sectional evidence from US and South Korean populations
Siying Liu, Tingting Liu, Yanli Cao, Cihang Lu, Jiahui Guo, Jie Li, Qiqiang Guo, Jing Zhang, Yongze Li
Social Science & Medicine.2026; 391: 118939. CrossRef
Association of smoking with serum uric acid levels, hyperuricemia, and gout based on the 7th to 9th Korea National Health and Nutrition Examination Survey: A secondary dataset analysis based on a cross-sectional study
Sunmi Kim
Tobacco Induced Diseases.2026; 24(March): 1. CrossRef
Unveiling the Demographics and Clinical Characteristics of Diabetic Neuropathy: Findings From the National Health Insurance Service, 2012–2017
Su Jin Jeong, Sun Keun Kim, Chong Hwa Kim
Journal of Diabetes.2026;[Epub] CrossRef
Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia
Joonyub Lee, Kun-Ho Yoon
Endocrinology and Metabolism.2025; 40(1): 57. CrossRef
Association of Systolic and Diastolic Blood Pressure with the Risk of End-Stage Renal Disease in Older Type 2 Diabetes Mellitus Patients without Cardiovascular Disease: A Nationwide Population-Based Study
Sangmo Hong, Kyungdo Han, Kye-Yeung Park, Chang Beom Lee, Dong Sun Kim, Jung Hwan Park, Sung Hoon Yu
Diabetes & Metabolism Journal.2025; 49(6): 1308. CrossRef
Associations between diabetes mellitus and drinking patterns in Korean adults by sex: insights from the Korea National health and nutrition examination survey 2013–2018
Hyunsoo Yoo, Yoon-Seok Choi, Young-Mo Yang
Diabetology & Metabolic Syndrome.2025;[Epub] CrossRef
Impact of anaerobic zone on biodegradation of micropollutants: Comparison of micropollutants’ removal efficiencies in lab-scale anaerobic bioreactor and in full-scale anaerobic zone
Jingyeong Shin, Sungman Lee, Jihea Lee, Heejong Son, Yunho Lee, Young Mo Kim
Chemical Engineering Journal.2024; 481: 148356. CrossRef
The Risk of the Aggravation of Diabetic Foot According to Air Quality Factors in the Republic of Korea: A Nationwide Population-Based Study
Saintpee Kim, Sungho Won, Young Yi
International Journal of Environmental Research and Public Health.2024; 21(6): 775. CrossRef
Methionine sulfoxide reductase B2 protects against cardiac complications in diabetes mellitus
Seung Hee Lee, Suyeon Cho, Jong Youl Lee, Ji Yeon Kim, Suji Kim, Myoungho Jeong, Jung Yeon Hong, Geun-Young Kim, Seung Woo Lee, Eunmi Kim, Jihwa Kim, Jee Woong Kim, John Hwa, Won-Ho Kim
Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef
Association of early-onset diabetes with socioeconomic, and health factors: a matched case-control study controlling for age, gender, and BMI
Jun-Hao Shen, In-Whi Hwang, Ju-Pil Choe, Soo-Ji Hwang, Joon-Young Kim, Jung-Min Lee
Journal of Diabetes & Metabolic Disorders.2024;[Epub] CrossRef
Clinical traits and systemic risks of familial diabetes mellitus according to age of onset and quantity: an analysis of data from the community-based KoGES cohort study
Ju-Yeun Lee, Kyungsik Kim, Sangjun Lee, Woo Ju An, Sue K. Park
Epidemiology and Health.2023; 45: e2023029. CrossRef
Diabetes self-management education
Ibironke Cecilia OJO, Elizabeth Olufunmilayo OJO, Simeo Kayode OLUBIYI
Journal of Integrative Nursing.2023; 5(2): 93. CrossRef
The prevalence and predictors of pre-diabetes and diabetes among adults 40–70 years in Kharameh cohort study: A population-based study in Fars province, south of Iran
Masoumeh Ghoddusi Johari, Kimia Jokari, Alireza Mirahmadizadeh, Mozhgan Seif, Abbas Rezaianzadeh
Journal of Diabetes & Metabolic Disorders.2022; 21(1): 85. CrossRef
Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud
Kyu Hee Lee, Erdenebayar Urtnasan, Sangwon Hwang, Hee Young Lee, Jung Hun Lee, Sang Baek Koh, Hyun Youk
Yonsei Medical Journal.2022; 63(Suppl): S84. CrossRef
The Impact of Diabetes on Vascular Disease: Progress from the Perspective of Epidemics and Treatments
Runyang Liu, Lihua Li, Chen Shao, Honghua Cai, Zhongqun Wang, Pawel Kleczynski
Journal of Diabetes Research.2022; 2022: 1. CrossRef
Incidence and Predisposing Factors of Postoperative Infection after Rhinoplasty: A Single Surgeon’s 16-Year Experience with 2630 Cases in an East Asian Population
Khanh Ngoc Tran, Yong Ju Jang
Plastic & Reconstructive Surgery.2022; 150(1): 51e. CrossRef
Predictors for successful weight reduction during treatment with Dapagliflozin among patients with type 2 diabetes mellitus in primary care
Youn Huh, Young Sik Kim
BMC Primary Care.2022;[Epub] CrossRef
Skin accumulation of advanced glycation end products and cardiovascular risk in Korean patients with type 2 diabetes mellitus
Lee-Seoul Choi, Kainat Ahmed, Young-Seol Kim, Jung-Eun Yim
Heliyon.2022; 8(6): e09571. CrossRef
Health-related Quality of Life Instrument With 8 Items for Use in Patients With Type 2 Diabetes Mellitus: A Validation Study in Korea
Juyoung Kim, Hyeon-Jeong Lee, Min-Woo Jo
Journal of Preventive Medicine and Public Health.2022; 55(3): 234. CrossRef
Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
Haewon Byeon
Frontiers in Endocrinology.2022;[Epub] CrossRef
Prevalence and risk of diabetic complications in young-onset versus late-onset type 2 diabetes mellitus
Yongin Cho, Hye-Sun Park, Byung Wook Huh, Seong Ha Seo, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, So Hun Kim
Diabetes & Metabolism.2022; 48(6): 101389. CrossRef
Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora
Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, Mohd Dilshad Ansari, Md Habibur Rahman, Mamoon Rashid
Computational Intelligence and Neuroscience.2022; 2022: 1. CrossRef
Association between Nighttime Work and HbA1c Levels in South Korea
Yeon-Suk Lee, Jae Hong Joo, Eun-Cheol Park
Healthcare.2022; 10(10): 1977. CrossRef
Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
Frontiers in Public Health.2022;[Epub] CrossRef
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
Diabetes & Metabolism Journal.2022; 46(6): 819. CrossRef
Sex differences in sarcopenia and frailty among community‐dwelling Korean older adults with diabetes: The Korean Frailty and Aging Cohort Study
Sunyoung Kang, Tae Jung Oh, Be Long Cho, Yong Soon Park, Eun Roh, Hyeon Ju Kim, Sam‐Gyu Lee, Bong Jo Kim, Miji Kim, Chang Won Won, Hak Chul Jang
Journal of Diabetes Investigation.2021; 12(2): 155. CrossRef
Umbilical Cord-Mesenchymal Stem Cell-Conditioned Medium Improves Insulin Resistance in C2C12 Cell
Kyung-Soo Kim, Yeon Kyung Choi, Mi Jin Kim, Jung Wook Hwang, Kyunghoon Min, Sang Youn Jung, Soo-Kyung Kim, Yong-Soo Choi, Yong-Wook Cho
Diabetes & Metabolism Journal.2021; 45(2): 260. CrossRef
Hemoglobin glycation index is associated with incident chronic kidney disease in subjects with impaired glucose metabolism: A 10-year longitudinal cohort study
Wonjin Kim, Taehwa Go, Dae Ryong Kang, Eun Jig Lee, Ji Hye Huh
Journal of Diabetes and its Complications.2021; 35(1): 107760. CrossRef
East Asian diet‐mimicking diet plan based on the Mediterranean diet and the Dietary Approaches to Stop Hypertension diet in adults with type 2 diabetes: A randomized controlled trial
Sang‐Man Jin, Jiyeon Ahn, Jiyun Park, Kyu Yeon Hur, Jae Hyeon Kim, Moon‐Kyu Lee
Journal of Diabetes Investigation.2021; 12(3): 357. CrossRef
Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015)
Seong-Su Moon, Chong Hwa Kim, Seon Mee Kang, Eun Sook Kim, Tae Jung Oh, Jae-Seung Yun, Ho Chan Cho, Dae Jung Kim, Tae Sun Park
Diabetes & Metabolism Journal.2021; 45(1): 115. CrossRef
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
Diabetes & Metabolism Journal.2021; 45(1): 1. CrossRef
Considering serum alanine aminotransferase and gamma-glutamyltransferase levels together strengthen the prediction of impaired fasting glucose risk: a cross-sectional and longitudinal study
Ji Hye Jeong, Susie Jung, Kyu-Nam Kim
Scientific Reports.2021;[Epub] CrossRef
The Associations Between Vitamin D Receptor BsmI and ApaI Polymorphisms and Obesity in Korean Patients with Type 2 Diabetes Mellitus
Sang Won Nam, Jinwoo Choi, Hyun Jeong Jeon, Tae Keun Oh, Dong-Hwa Lee
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 557. CrossRef
Association between living alone and incident type 2 diabetes among middle-aged individuals in Korea: a nationwide cohort study
Ga Eun Nam, Wonsock Kim, Kyungdo Han, Jin-Hyung Jung, Byoungduck Han, Jinwook Kim, Nan Hee Kim, Kyung Mook Choi, Kyung Hwan Cho, Yong Gyu Park, Seon Mee Kim
Scientific Reports.2021;[Epub] CrossRef
Retracted: Western pacific consensus proposals for management of prediabetes

International Journal of Clinical Practice.2021;[Epub] CrossRef
Blood glucose levels and bodyweight change after dapagliflozin administration
Hyunah Kim, Seung‐Hwan Lee, Hyunyong Lee, Hyeon Woo Yim, Jae‐Hyoung Cho, Kun‐Ho Yoon, Hun‐Sung Kim
Journal of Diabetes Investigation.2021; 12(9): 1594. CrossRef
Prevalence and socioeconomic burden of diabetes mellitus in South Korean adults: a population-based study using administrative data
Sung-Hee Oh, Hyemin Ku, Kang Seo Park
BMC Public Health.2021;[Epub] CrossRef
Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
Henock M. Deberneh, Intaek Kim
International Journal of Environmental Research and Public Health.2021; 18(6): 3317. CrossRef
Development of a clinical risk score for incident diabetes: A 10‐year prospective cohort study
Tae Jung Oh, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, Nam H Cho, Hak Chul Jang
Journal of Diabetes Investigation.2021; 12(4): 610. CrossRef
New Era for Renal-Protective Therapy in Type 2 Diabetes: Better Renal Outcomes in Patients with Type 2 Diabetes Taking Sodium-Glucose Cotransporter 2 Inhibitors versus Dipeptidyl Peptidase-4 Inhibitors
Chan-Hee Jung
Endocrinology and Metabolism.2021; 36(2): 339. CrossRef
Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Yong-Jin Im, Eun-Young Kim, Tae Sun Park
Journal of Korean Medical Science.2021;[Epub] CrossRef
No influence of hepatic steatosis on the 3‐year outcomes of patients with quiescent chronic hepatitis B
Jin Won Chang, Jae Seung Lee, Hye Won Lee, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Seung Up Kim
Journal of Viral Hepatitis.2021; 28(11): 1545. CrossRef
Occupational Noise Exposure and Incidence of High Fasting Blood Glucose: A 3-Year, Multicenter, Retrospective Study
Seunghan Kim, Byungyoon Yun, Seunghyun Lee, Changyoung Kim, Juho Sim, Ara Cho, Yeonsuh Oh, Jiho Lee, Jinha Yoon
International Journal of Environmental Research and Public Health.2021; 18(17): 9388. CrossRef
Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
The Korean Journal of Internal Medicine.2021; 36(5): 1049. CrossRef
Blood Pressure and Cardiovascular Disease in Older Patients With Diabetes: Retrospective Cohort Study
Sangmo Hong, Jung Hwan Park, Kyungdo Han, Chang Beom Lee, Dong Sun Kim, Sung Hoon Yu
Journal of the American Heart Association.2021;[Epub] CrossRef
Prevalence of significant hepatic fibrosis using magnetic resonance elastography in a health check‐up clinic population
Kyung A Kang, Dae Won Jun, Mi Sung Kim, Heon‐Ju Kwon, Mindie H. Nguyen
Alimentary Pharmacology & Therapeutics.2020; 51(3): 388. CrossRef
The Effects of Bariatric Surgery on Type 2 Diabetes in Asian Populations: a Meta-analysis of Randomized Controlled Trials
Jin Hwa Kim, Jung-Soo Pyo, Won Jin Cho, Sang Yong Kim
Obesity Surgery.2020; 30(3): 910. CrossRef
Opposite Effects of Work-Related Physical Activity and Leisure-Time Physical Activity on the Risk of Diabetes in Korean Adults
Hyun Sook Oh
International Journal of Environmental Research and Public Health.2020; 17(16): 5812. CrossRef
Middle-aged men with type 2 diabetes as potential candidates for pancreatic cancer screening: a 10-year nationwide population-based cohort study
Dong-Hoe Koo, Kyung-Do Han, Hong Joo Kim, Cheol-Young Park
Acta Diabetologica.2020; 57(2): 197. CrossRef
Efficacy and safety of insulin glargine 300 U/mL versus insulin glargine 100 U/mL in Asia Pacific insulin‐naïve people with type 2 diabetes: The EDITION AP randomized controlled trial
Linong Ji, Eun Seok Kang, XiaoLin Dong, Ling Li, GuoYue Yuan, Shuhua Shang, Elisabeth Niemoeller
Diabetes, Obesity and Metabolism.2020; 22(4): 612. CrossRef
Non-Exercise Based Estimation of Cardiorespiratory Fitness Mediates Associations between Comorbidities and Health-Related Quality of Life in Older Korean Adults with Diabetes
Inhwan Lee, Shinuk Kim, Hyunsik Kang
International Journal of Environmental Research and Public Health.2020; 17(4): 1164. CrossRef
γ-Linolenic Acid versus α-Lipoic Acid for Treating Painful Diabetic Neuropathy in Adults: A 12-Week, Double-Placebo, Randomized, Noninferiority Trial
Jong Chul Won, Hyuk-Sang Kwon, Seong-Su Moon, Sung Wan Chun, Chong Hwa Kim, Ie Byung Park, In Joo Kim, Jihyun Lee, Bong Yun Cha, Tae Sun Park
Diabetes & Metabolism Journal.2020; 44(4): 542. CrossRef
Circulating myokine levels in different stages of glucose intolerance
Kahui Park, Chul Woo Ahn, Jong Suk Park, YuSik Kim, Ji Sun Nam
Medicine.2020; 99(8): e19235. CrossRef
Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
Diabetes & Metabolism Journal.2020; 44(4): 592. CrossRef
The sweet spot: fasting glucose, cardiovascular disease, and mortality in older adults with diabetes: a nationwide population-based study
Ji Hyun Lee, Kyungdo Han, Ji Hye Huh
Cardiovascular Diabetology.2020;[Epub] CrossRef
Glucose-Lowering Effect of Home-Delivered Therapeutic Meals in Patients with Type 2 Diabetes
Jong Han Choi, Se Hee Min, Kyeong Hye Lim, Uoon Jeong Shin, Min-Seon Kim
The Journal of Korean Diabetes.2020; 21(1): 46. CrossRef
Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study
Min Cheol Chang, Jong-Moon Hwang, Jae-Han Jeon, Sang Gyu Kwak, Donghwi Park, Jun Sung Moon
Endocrinology and Metabolism.2020; 35(3): 595. CrossRef
Gender differences in adverse event reports associated with antidiabetic drugs
Kyung-In Joung, Gyu-Won Jung, Han-Heui Park, Hyesung Lee, So-Hee Park, Ju-Young Shin
Scientific Reports.2020;[Epub] CrossRef
Relative fat mass at baseline and its early change may be a predictor of incident nonalcoholic fatty liver disease
Hwi Young Kim, Su Jung Baik, Hye Ah Lee, Byoung Kwon Lee, Hye Sun Lee, Tae Hun Kim, Kwon Yoo
Scientific Reports.2020;[Epub] CrossRef
Peripheral Arterial Stiffness Increases the Risk of Progression of Renal Disease in Type 2 Diabetic Patients
Tae Hoon Lim, Seung Min Chung, Dong Sung Lee, Se Ra Choi, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
Frontiers in Medicine.2020;[Epub] CrossRef
Association of Urinary Polycyclic Aromatic Hydrocarbons and Diabetes in Korean Adults: Data from the Korean National Environmental Health Survey Cycle 2 (2012–2014)

Yon Ju Nam, Shin-Hye Kim
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3993. CrossRef
Present and Future of Digital Health in Diabetes and Metabolic Disease
Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl
Diabetes & Metabolism Journal.2020; 44(6): 819. CrossRef
Trends in the Incidence, Prevalence, and Mortality of End-Stage Kidney Disease in South Korea
Min-Jeong Lee, Kyoung Hwa Ha, Dae Jung Kim, Inwhee Park
Diabetes & Metabolism Journal.2020; 44(6): 933. CrossRef
An evaluation of the impact of aggressive diabetes and hypertension management on chronic kidney diseases at the population level: a simulation analysis
John Pastor Ansah, Shawn Tan Yi Wei, Tessa Lui Shi Min
System Dynamics Review.2020; 36(4): 497. CrossRef
Nationwide Trends in Pancreatitis and Pancreatic Cancer Risk Among Patients With Newly Diagnosed Type 2 Diabetes Receiving Dipeptidyl Peptidase 4 Inhibitors
Minyoung Lee, Jiyu Sun, Minkyung Han, Yongin Cho, Ji-Yeon Lee, Chung Mo Nam, Eun Seok Kang
Diabetes Care.2019; 42(11): 2057. CrossRef
Clinical Efficacy and Parameters Affecting the Response to Dulaglutide Treatment in Patients with Type 2 Diabetes: A Retrospective, Real-World Data Study
Jee Hee Yoo, Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Yu Mi Kang, Chang Hee Jung, Joong-Yeol Park, Woo Je Lee
Diabetes Therapy.2019; 10(4): 1453. CrossRef
Diabetes and the Risk of Infection: A National Cohort Study
Eun Jin Kim, Kyoung Hwa Ha, Dae Jung Kim, Young Hwa Choi
Diabetes & Metabolism Journal.2019; 43(6): 804. CrossRef
Current Management of Type 2 Diabetes Mellitus in Primary Care Clinics in Korea
Da Hea Seo, Shinae Kang, Yong-ho Lee, Jung Yoon Ha, Jong Suk Park, Byoung-Wan Lee, Eun Seok Kang, Chul Woo Ahn, Bong-Soo Cha
Endocrinology and Metabolism.2019; 34(3): 282. CrossRef
Effects of Blood Pressure and Glucose Levels on Visual Acuity
Dae-Jong Kim
Journal of Korean Ophthalmic Optics Society.2019; 24(2): 181. CrossRef
An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis
John Pastor Ansah, Ryan Leung Hoe Inn, Salman Ahmad
BMC Public Health.2019;[Epub] CrossRef
Retracted : Angelica polysaccharide alleviates TNF‐α‐induced MIN6 cell damage a through the up‐regulation microRNA‐143
Yingying Zhao, Chuanqian Liu, Xueting Zhang, Xipeng Yan
BioFactors.2019;[Epub] CrossRef
Poor Control of Blood Glucose, Lifestyle, and Cardiometabolic Parameters in Younger Adult Patients with Type 2 Diabetes Mellitus
Ga Eun Nam, Byoungduck Han, Chae Lin Joo, Seo Young Kang, Jisun Lim, Yang-Hyun Kim, Hye Soon Park
Journal of Clinical Medicine.2019; 8(9): 1405. CrossRef
Frailty and Disability in Diabetes
Sol-Ji Yoon, Kwang-il Kim
Annals of Geriatric Medicine and Research.2019; 23(4): 165. CrossRef
A Case Report of Increased Blood Sugar in a Diabetic Patient Treated with Socheongryong-tang
Youngji Kim, Juyeon Song, Seungcheol Hong, Song-won Park, Hakkyeom Kim, Lib Ahn, Dong-jun Choi
The Journal of Internal Korean Medicine.2019; 40(5): 929. CrossRef
A comparison of sotagliflozin therapy for diabetes mellitus between week 24 with week 52
Nie Zhang, Zhi-Qun Gu, Yun-Long Ding, Liu Yang, Mao-Bing Chen, Qi-Han Zheng
Medicine.2019; 98(47): e17976. CrossRef
2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea
Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu
Diabetes & Metabolism Journal.2019; 43(4): 398. CrossRef
Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
Tae Seo Sohn
Diabetes & Metabolism Journal.2019; 43(6): 909. CrossRef
The Need to Improve the Quality of Diabetes Care in Korea
Seung Jin Han, Dae Jung Kim
Journal of Korean Medical Science.2019;[Epub] CrossRef
Letter: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90–6)
Bo Kyung Koo
Diabetes & Metabolism Journal.2019; 43(2): 242. CrossRef
Letter: Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial (Diabetes Metab J 2019;43;276-86)
Hannah Seok, Tae Seo Sohn
Diabetes & Metabolism Journal.2019; 43(4): 545. CrossRef
Teneligliptin versus sitagliptin in Korean patients with type 2 diabetes inadequately controlled with metformin and glimepiride: A randomized, double‐blind, non‐inferiority trial
Yonghyun Kim, Eun Seok Kang, Hak Chul Jang, Dong Jun Kim, Taekeun Oh, Eun Sook Kim, Nan‐Hee Kim, Kyung Mook Choi, Sung‐Rae Kim, JiYoung You, Se‐Jin Kim, Moon‐Kyu Lee
Diabetes, Obesity and Metabolism.2019; 21(3): 631. CrossRef
Nationwide trends in the epidemiology of diabetic foot complications and lower-extremity amputation over an 8-year period
Cheng-Wei Lin, David G Armstrong, Chia-Hung Lin, Pi-Hua Liu, Shih-Yuan Hung, Shu-Ru Lee, Chung-Huei Huang, Yu-Yao Huang
BMJ Open Diabetes Research & Care.2019; 7(1): e000795. CrossRef
Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
Diabetes & Metabolism Journal.2018; 42(6): 475. CrossRef

The Association of Serum Cystatin C with Glycosylated Hemoglobin in Korean Adults: Eun Hee Sim, Hye Won Lee, Hyun Ju Choi, Dong Wook Jeong, Seok Man Son, Yang Ho Kang; Diabetes Metab J. 2016;40(1):62-69. Published online November 27, 2015; DOI: https://doi.org/10.4093/dmj.2016.40.1.62

7,426 View
45 Download
8 Web of Science
9 Crossref

Abstract PDF PubReader ePub

Background

Cystatin C has been known to be associated not only with early renal impairment but also with the incidence of diabetic conditions (prediabetes plus diabetes). However, it is not clear whether cystatin C levels are associated with the prevalence of diabetic conditions in Asian populations. We evaluated this association using glycosylated hemoglobin (HbA1c) levels as the definition of diabetes in Korean adults.

Methods

We analyzed data from 1,559 Korean adults (937 men and 622 women) with available serum cystatin C and HbA1c values.

Results

The serum cystatin C levels in subjects with prediabetes and diabetes were significantly increased (0.91±0.14 mg/L in prediabetes and 0.91±0.17 mg/L in diabetes vs. 0.88±0.13 mg/L in patients with normal glucose levels, P=0.001). At increasing cystatin C levels, the prevalence of subjects with prediabetes (30.2% vs. 14.6%, P<0.001) and those with diabetes (10.6% vs. 8.0%, P<0.001) significantly increased in the group with the highest cystatin C levels. The group with the highest cystatin C levels had a significantly increased odds ratio (OR) for the presence of diabetic conditions compared to the group with the lowest values in total subjects (OR, 2.35; 95% confidence interval [CI], 1.54 to 3.58; P<0.001) and in women (OR, 4.13; 95% CI, 1.97 to 8.65; P<0.001), though there was no significant increase after adjusting for multiple variables.

Conclusions

Higher levels of serum cystatin C are associated with an increased prevalence of diabetic conditions in Korean adults. Our findings may extend the positive association of cystatin C with diabetes incidence to an Asian population.

Citations

Citations to this article as recorded by

Relationship between serum cystatin C and diabetic retinopathy in T2DM patients
Qiuqi Gui, Kunhua Jiang, Yuxin Xu
Frontiers in Medicine.2025;[Epub] CrossRef
Prognostic significance of serum cystatin C in acute brainstem infarctions patients
H. Li, B. Zhang, Z. Huang, H. Wu, B. Qin, L. Zhou, Z. Lu, F. Qin
Revue Neurologique.2024; 180(7): 642. CrossRef
Detection of decline in estimated glomerular filtration rate in patients with type 2 diabetes by cystatin C-based equations
Tam Thai Thanh Tran, Tien Kim Ha, Nhut Minh Phan, Minh Van Le, Tin Hoang Nguyen
World Journal of Nephrology.2024;[Epub] CrossRef
Cardiovascular risk assessment in prediabetic patients in a hypertensive population: The role of cystatin C
Rafael Garcia-Carretero, Luis Vigil-Medina, Inmaculada Mora-Jimenez, Cristina Soguero-Ruiz, Rebeca Goya-Esteban, Javier Ramos-Lopez, Oscar Barquero-Perez
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2018; 12(5): 625. CrossRef
Characteristics of Dapagliflozin Responders: A Longitudinal, Prospective, Nationwide Dapagliflozin Surveillance Study in Korea
Eugene Han, Ari Kim, Sung Jae Lee, Je-Yon Kim, Jae Hyeon Kim, Woo Je Lee, Byung-Wan Lee
Diabetes Therapy.2018; 9(4): 1689. CrossRef
Cystatin C as a Predictor for Diabetes according to Glycosylated Hemoglobin Levels in Korean Patients
Eon Ju Jeon, Ji Hyun Lee
Diabetes & Metabolism Journal.2016; 40(1): 32. CrossRef
Prevalence of Reduced Kidney Function by Estimated Glomerular Filtration Rate Using an Equation Based on Creatinine and Cystatin C in Metabolic Syndrome and Its Components in Korean Adults
Yang Ho Kang, Dong Wook Jeong, Seok Man Son
Endocrinology and Metabolism.2016; 31(3): 446. CrossRef
Letter: The Association of Serum Cystatin C with Glycosylated Hemoglobin in Korean Adults (Diabetes Metab J 2016;40:62-9)
Kyung-Soo Kim
Diabetes & Metabolism Journal.2016; 40(2): 171. CrossRef
Response: The Association of Serum Cystatin C with Glycosylated Hemoglobin in Korean Adults (Diabetes Metab J 2016;40:62-9)
Yang Ho Kang
Diabetes & Metabolism Journal.2016; 40(2): 173. CrossRef

Clinical Care/Education
Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?: Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song; Diabetes Metab J. 2016;40(2):118-128. Published online November 20, 2015; DOI: https://doi.org/10.4093/dmj.2016.40.2.118

11,882 View
100 Download
25 Web of Science
23 Crossref

Abstract PDF PubReader ePub

Background

We evaluated the diagnostic rate of diabetes using fasting plasma glucose (FPG), 2-hour plasma glucose (2h PG) after 75 g oral glucose tolerance test (OGTT), and glycosylated hemoglobin (HbA1c) levels, and we elucidated the pathophysiologic characteristics and risk factors that give rise to diabetes in patients with prediabetes.

Methods

The data of 236 patients who had the OGTT at Konkuk University Hospital were analyzed. Fasting, 30, and 120 minutes blood glucose levels and insulin levels were measured. The diagnostic rate of diabetes was assessed using FPG, 2h PG, and HbA1c levels. The clinical data and insulin resistance and secretion evaluations were compared using indexes according to the fasting glucose level.

Results

Among 236 subjects, 97 (41.1%) were diabetics and 102 (43.2%) were prediabetics. The rate of diabetes diagnosis by one of the individual criteria was 56.7%, 53.6%, and 84.5% for FPG, HbA1c, and 2h PG, respectively. When two criteria were used to diagnose diabetes, 72.2% of the diabetic patients were identified by FPG and HbA1c, while 100% were identified by FPG and 2h PG, and 91.7% were identified by 2h PG and HbA1c. The HbA1c cut-off value for 2h PG ≥200 mg/dL was 6.1%, and the FPG cut-off value was 115 mg/dL. In impaired fasting glucose subjects, the HbA1c level, Matsuda index, and insulinogenic index were associated with risk of occurrence of overt diabetes (P<0.01).

Conclusion

This study suggests that performing additional OGTT for patients with FPG ≥110 mg/dL or HbA1c ≥6.1% is helpful to reclassify their glucose tolerance status and evaluate their potential for progressing to overt diabetes.

Citations

Citations to this article as recorded by

2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association
Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung
Diabetes & Metabolism Journal.2025; 49(4): 582. CrossRef
Bridging Evidence and Practice: A Consensus Statement from the Korean Diabetes Association on Diabetes Screening, Pharmacological Treatment and Severe Diabetes
Jong Han Choi, Shinae Kang, Soo-Kyung Kim, Won Jun Kim, Ji Min Kim, Jaehyun Bae, Jae-Seung Yun, Eonju Jeon, Young-Eun Kim, Jae Hyun Bae, Hun Jee Choe, Young Min Cho, Seung-Hyun Ko, Sang Yong Kim, Hae Jin Kim, You-Cheol Hwang, Min Kyong Moon, Suk Chon, Seo
Diabetes & Metabolism Journal.2025; 49(6): 1155. CrossRef
The effect of preprandial versus postprandial physical activity on glycaemia: Meta-analysis of human intervention studies
Romy Slebe, Eva Wenker, Linda J. Schoonmade, Emma J. Bouman, Denis P. Blondin, David J.T. Campbell, André C. Carpentier, Joris Hoeks, Parminder Raina, Patrick Schrauwen, Mireille J. Serlie, Dirk Jan Stenvers, Renée de Mutsert, Joline W.J. Beulens, Femke R
Diabetes Research and Clinical Practice.2024; 210: 111638. CrossRef
Dysglycaemia prediction using readily available clinical, anthropometric, and biochemical measurements
R. Guizar-Heredia, M. Guevara-Cruz, M. Aguilar-López, L.E. González-Salazar, I. Medina-Vera, L. Arteaga-Sánchez, E. Pichardo-Ontiveros, A.E. Serralde-Zúñiga, A. Diaz-Villaseñor, A. Ávila-Nava, N. Torres, A.R. Tovar
Clinical Nutrition Open Science.2024; 55: 91. CrossRef
Assessing blood sugar measures for predicting new-onset diabetes and cardiovascular disease in community-dwelling adults
Jung-Hwan Kim, Yaeji Lee, Chung-Mo Nam, Yu-Jin Kwon, Ji-Won Lee
Endocrine.2024; 86(2): 528. CrossRef
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
Early prediction of gestational diabetes mellitus using first trimester maternal serum pregnancy‐associated plasma protein‐a: A cross‐sectional study
Maedeh Amini, Anoshirvan Kazemnejad, Aliakbar Rasekhi, Azam Amirian, Nourossadat Kariman
Health Science Reports.2024;[Epub] CrossRef
Clinical Utility of Fasting Plasma Glucose and Hemoglobin A1C (HbA1C) for the Prediction of Type 2 Diabetes Mellitus Diagnosed by Oral Glucose Tolerance Testing in Cirrhotic Patients with Impaired Fasting Plasma Glucose
Chanin Chareesil
PSU Medical Journal.2024; 4(3): 123. CrossRef
Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome
Ives Yubin Lim, Xinyi Lin, Ai Ling Teh, Yonghui Wu, Li Chen, Menglan He, Shiao-Yng Chan, Julia L MacIsaac, Jerry K Y Chan, Kok Hian Tan, Mary Foong Fong Chong, Michael S Kobor, Keith M Godfrey, Michael J Meaney, Yung Seng Lee, Johan G Eriksson, Peter D Gl
The Journal of Clinical Endocrinology & Metabolism.2022; 107(3): e1277. CrossRef
Imaging evaluation of the pancreas in diabetic patients
Ni Zeng, Yi Wang, Yue Cheng, Zixing Huang, Bin Song
Abdominal Radiology.2022; 47(2): 715. CrossRef
The Impact of Financial Incentives on Behavior and Self-Management of Uncontrolled Type 2 Diabetes: Pre- and Post-Quasiexperimental Study
Dalal Abdulaziz Al Kathiry, Fatima Al Slail, Khaled Al-Surimi, Raghib Abusaris
Global Journal on Quality and Safety in Healthcare.2021; 4(3): 88. CrossRef
Practice Patterns in the Acceptance of Medically Complex Living Kidney Donors with Obesity, Hypertension, Family History of Kidney Disease, or Donor-Recipient Age Discrepancy
Ziad Arabi, Muhammad Bukhari, Abdullah Hamad, Abdulrahman Altheaby, Saleh Kaysi
Avicenna Journal of Medicine.2021; 11(04): 172. CrossRef
Secretagogin is Related to Insulin Secretion but Unrelated to Gestational Diabetes Mellitus Status in Pregnancy
Carola Deischinger, Jürgen Harreiter, Karoline Leitner, Dagmar Bancher-Todesca, Sabina Baumgartner-Parzer, Alexandra Kautzky-Willer
Journal of Clinical Medicine.2020; 9(7): 2277. CrossRef
Hypoglycemic activity of extracts of Chamaecyparis obtusa var. formosana leaf in rats with hyperglycemia induced by high-fat diets and streptozotocin
Chia-Yun Hsu, Gong-Min Lin, Shang-Tzen Chang
Journal of Traditional and Complementary Medicine.2020; 10(4): 389. CrossRef
Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
Seon‐Ah Cha, Suk Chon, Jae‐Seung Yun, Sang Youl Rhee, Sun‐Young Lim, Kun‐Ho Yoon, Yu‐Bae Ahn, Seung‐Hyun Ko, Jeong‐Taek Woo, Jin‐Hee Lee
Diabetes/Metabolism Research and Reviews.2020;[Epub] CrossRef
Prediction of type 2 diabetes mellitus using fasting plasma glucose and HbA1c levels among individuals with impaired fasting plasma glucose: a cross-sectional study in Thailand
Tullaya Sitasuwan, Raweewan Lertwattanarak
BMJ Open.2020; 10(11): e041269. CrossRef
The effect of oral glucose tolerance testing on changes in arterial stiffness and blood pressure in elderly women with hypertension and relationships between the stage of diabetes and physical fitness levels
Jaesong Lee, Wonil Park, Eunsook Sung, Bokbeom Kim, Nahyun Kim, Saejong Park, Chulho Shin, Jonghoon Park
Physical Activity and Nutrition.2020; 24(4): 34. CrossRef
From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
Medicina.2019; 55(9): 546. CrossRef
Molecular imaging of β-cells: diabetes and beyond
Weijun Wei, Emily B. Ehlerding, Xiaoli Lan, Quan-Yong Luo, Weibo Cai
Advanced Drug Delivery Reviews.2019; 139: 16. CrossRef
Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study
Anne Jølle, Kristian Midthjell, Jostein Holmen, Sven Magnus Carlsen, Jaakko Tuomilehto, Johan Håkon Bjørngaard, Bjørn Olav Åsvold
BMJ Open Diabetes Research & Care.2019; 7(1): e000769. CrossRef
HbA1c Cutoff for Prediabetes and Diabetes Based on Oral Glucose Tolerance Test in Obese Children and Adolescents
Hyo-Kyoung Nam, Won Kyoung Cho, Jae Hyun Kim, Young-Jun Rhie, Sochung Chung, Kee-Hyoung Lee, Byung-Kyu Suh
Journal of Korean Medical Science.2018;[Epub] CrossRef
Detection of glucose metabolism disorders in coronary patients enrolled in cardiac rehabilitation: Is glycated haemoglobin useful? Data from the prospective REHABDIAB study
Sopio Tatulashvili, Bénédicte Patois-Vergès, Amandine Nguyen, Marie-Cécile Blonde, Bruno Vergès
European Journal of Preventive Cardiology.2018; 25(5): 464. CrossRef
Imaging in pancreatic disease
Julien Dimastromatteo, Teresa Brentnall, Kimberly A. Kelly
Nature Reviews Gastroenterology & Hepatology.2017; 14(2): 97. CrossRef

Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh: Khurshid Natasha, Akhtar Hussain, A. K. Azad Khan, Bishwajit Bhowmik; Diabetes Metab J. 2015;39(3):218-229. Published online May 6, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.3.218

7,351 View
35 Download
11 Web of Science
9 Crossref

Abstract PDF PubReader ePub

Background

Depression and glucose abnormality are increasing in Bangladesh including its rural area. This study was designed to determine the prevalence of depression in an urbanizing rural population of Bangladesh with or without glucose abnormality (including diabetes mellitus [DM], and pre-diabetes which combines impaired fasting glucose and impaired glucose tolerance pre-DM).

Methods

A total of 2,293 subjects aged ≥20 years were investigated. Sociodemographic and anthropometric details, blood pressure, fasting (fasting plasma glucose) and 2 hours after 75 g plasma glucose (2-hour plasma glucose), were studied. Montgomery-Asberg Depression Rating Scale was used to assess depression.

Results

The overall prevalence of DM was 7.9% and pre-DM was 8.6%. Prevalence of depression was 15.31% (n=351; 95% confidence interval [CI], 1.59 to 1.36) with mean depressive score 17.62±3.49. Female were more likely to have depression (17.16%). The 22.35% of male and 29.46% of female with pre-DM and 26.58% male and 36.27% female with DM had depressive symptoms. There was no significant variation in the mean age of different groups (healthy, depressed and with glucose abnormality). Depression was significantly associated with age, marital status, occupation, high physical activity, and low body mass index. The odds ratio (OR) for depression was significantly increased in patients with glucose abnormality compared with those without pre-DM (OR, 2.49; 95% CI, 1.76 to 3.51; P<0.000) and DM (OR, 3.27; 95% CI, 2.33 to 4.60; P<0.000).

Conclusion

Prevalence of depression found alarming in our study area though lesser than previous studies and it is significantly related to glucose abnormality. The study reveals that mental health should get more focused specially along with metabolic diseases.

Citations

Citations to this article as recorded by

Association between the triglyceride glucose index and depression: a meta-analysis
Weitao Wan, Yi Yu
Frontiers in Psychiatry.2024;[Epub] CrossRef
Association between prediabetes and depression: A meta-analysis
Yi Yu, Weitao Wan, Anselm J. M. Hennis
PLOS ONE.2024; 19(8): e0307428. CrossRef
Early-diagnosis of major depressive disorder: From biomarkers to point-of-care testing
Xin Zhang, Zhiheng Zhang, Weize Diao, Chuangxin Zhou, Yetong Song, Renzhi Wang, Xiaoguang Luo, Guozhen Liu
TrAC Trends in Analytical Chemistry.2023; 159: 116904. CrossRef
Differences and correlations of biochemical index levels in patients with bipolar disorder and major depressive disorder during a stable period
Yukang Tan, Chunguo Zhang, Chaohua Tang, Zhijian Li, Wensheng Chen, Huan Jing, Wenting Liang, Xiaoling Li, Guojun Xie, Jiaquan Liang, Huagui Guo
Medicine.2023; 102(25): e34172. CrossRef
Evidence of gut enteropathy and factors associated with undernutrition among slum-dwelling adults in Bangladesh
Shah Mohammad Fahim, Subhasish Das, Md Amran Gazi, Md Ashraful Alam, Mustafa Mahfuz, Tahmeed Ahmed
The American Journal of Clinical Nutrition.2020; 111(3): 657. CrossRef
Elevated depressive symptoms and risk of all-cause and cardiovascular mortality among adults with and without diabetes: The REasons for Geographic And Racial Differences in Stroke (REGARDS) study
Amandiy N.N. Liwo, Virginia J. Howard, Sha Zhu, Michelle Y. Martin, Monika M. Safford, Joshua S. Richman, Doyle M. Cummings, April P. Carson
Journal of Diabetes and its Complications.2020; 34(10): 107672. CrossRef
Impact of prediabetes on poststroke depression in Chinese patients with acute ischemic stroke
Meijuan Xiao, Qiongzhang Wang, Wenwei Ren, Zheng Zhang, Xujie Wu, Zhen Wang, Liang Feng, Siyan Chen, Jincai He
International Journal of Geriatric Psychiatry.2018; 33(7): 956. CrossRef
Response: Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh (Diabetes Metab J2015;39:218-29)
Khurshid Natasha, Akhtar Hussain, A. K. Azad Khan, Bishwajit Bhowmik
Diabetes & Metabolism Journal.2015; 39(6): 530. CrossRef
Letter: Prevalence of Depression and Glucose Abnormality in an Urbanizing Rural Population of Bangladesh (Diabetes Metab J2015;39:218-29)
Tomoyuki Kawada
Diabetes & Metabolism Journal.2015; 39(6): 528. CrossRef

GDF15 Is a Novel Biomarker for Impaired Fasting Glucose: Jun Hwa Hong, Hyo Kyun Chung, Hye Yoon Park, Kyong-Hye Joung, Ju Hee Lee, Jin Gyu Jung, Koon Soon Kim, Hyun Jin Kim, Bon Jeong Ku, Minho Shong; Diabetes Metab J. 2014;38(6):472-479. Published online December 15, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.6.472

11,893 View
107 Download
83 Web of Science
77 Crossref

Abstract PDF PubReader ePub

Background

Growth differentiation factor-15 (GDF15) is a protein that belongs to the transforming growth factor β superfamily. An elevated serum level of GDF15 was found to be associated with type 2 diabetes mellitus (T2DM). T2DM is an inflammatory disease that progresses from normal glucose tolerance (NGT) to impaired fasting glucose (IFG). Hence, we aimed to validate the relationship between GDF15 and IFG.

Methods

The participants were divided into the following three groups: NGT (n=137), IFG (n=29), and T2DM (n=75). The controls and T2DM outpatients visited the hospital for routine health check-ups. We used fasting blood glucose to detect IFG in nondiabetic patients. We checked the body mass index (BMI), C-reactive protein level, metabolic parameters, and fasting serum GDF15 level.

Results

Age, BMI, triglyceride, insulin, glucose, homeostatic model assessment-insulin resistance (HOMA-IR), and GDF15 levels were elevated in the IFG and T2DM groups compared to the NGT group. In the correlation analysis between metabolic parameters and GDF15, age and HOMA-IR had a significant positive correlation with GDF15 levels. GDF15 significantly discriminated between IFG and NGT, independent of age, BMI, and HOMA-IR. The serum levels of GDF15 were more elevated in men than in women. As a biomarker for IFG based on the receiver operating characteristic curve analysis, the cutoff value of GDF15 was 510 pg/mL in males and 400 pg/mL in females.

Conclusion

GDF15 had a positive correlation with IR independent of age and BMI, and the serum level of GDF15 was increased in the IFG and T2DM groups. GDF15 may be a novel biomarker for detecting IFG in nondiabetic patients.

Citations

Citations to this article as recorded by

Circulating GDF15 and HbA1c Response to Add-On Exenatide Therapy in Type 2 Diabetes: A Post Hoc Analysis from a Multicenter Trial
Qi Wu, Kun Yang, Xinyue Liao, Shiyin Zheng, Xiaoyue Zheng, Haining Wang, Jin Yang, Tianpei Hong
Biomedicines.2026; 14(3): 572. CrossRef
Growth Differentiation Factor-15 as a Biomarker of Diabetic Complications in Patients with Type 2 Diabetes
Diana Nikolova, Savelia Yordanova, Zdravko Kamenov, Julieta Hristova, Antoaneta Trifonova Gateva
Journal of Clinical Medicine.2026; 15(8): 2908. CrossRef
The effect of exercise on GDF‐15 levels in individuals with prediabetes: A randomized controlled trial
Elif Yıldırım Ayaz, Banu Mesci, Özden Ezgi Üner, Fatoş Nimet Kaya, Berna Dincer, Ferruh Kemal İşman, Aytekin Oğuz
Journal of Diabetes Investigation.2025; 16(4): 656. CrossRef
Ginsenoside Rb1 and berberine synergistically protect against type 2 diabetes mellitus via GDF15/HAMP pathway throughout the liver lobules: Insights from spatial transcriptomics analysis
Rongfang Guo, Shuying Zhang, Anyao Li, Ping Zhang, Xin Peng, Xiaoyan Lu, Xiaohui Fan
Pharmacological Research.2025; 215: 107711. CrossRef
The association between serum growth differentiation factor 15 and insulin resistance in women diagnosed with polycystic ovary syndrome
Yufeng Mei, Wanzhen Li, Zhenni Chen, Min Wang
Scientific Reports.2025;[Epub] CrossRef
Growth differentiation factor 15 predicts physical function impairment in Spanish older adults: a real-world prospective study
Karine Ferreira de Campos, Esther García-Esquinas, Antonio Buño-Soto, Mercedes Sotos-Prieto, Adrián Carballo-Casla, Fernando Rodríguez-Artalejo, Rosario Ortolá
GeroScience.2025; 48(2): 1799. CrossRef
Metabolic Messenger: growth differentiation factor 15
Samuel N. Breit, Vicky W. Tsai
Nature Metabolism.2025; 7(9): 1732. CrossRef
Relationship of GDF15 with hepatic mitochondrial respiration is depending on the presence of fibrosis in obese individuals
Anna Giannakogeorgou, Sabine Kahl, Cesare Granata, Geronimo Heilmann, Lucia Mastrototaro, Bedair Dewidar, Pavel Bobrov, Irene Esposito, Aslihan Yavas, Sandra Trenkamp, Frank A. Granderath, Matthias Schlensak, Christos S. Mantzoros, Michael Roden, Patrick
Metabolism.2025; 173: 156391. CrossRef
Different association of GDF15 and FGF21 with glycemic status and aging in the context of obesity
Laura Salmón-Gómez, Victoria Catalán, Beatriz Ramírez, Maite Aguas-Ayesa, Amaia Rodríguez, Sara Becerril, Jorge Baixauli, Sonsoles Gutiérrez-Medina, Carmen Mugueta, Inmaculada Colina, Carolina M. Perdomo, Camilo Silva, Javier Escalada, Gema Frühbeck, Javi
GeroScience.2025; 48(2): 2931. CrossRef
Effect of a 6-Week Carbohydrate-Reduced High-Protein Diet on Levels of FGF21 and GDF15 in People With Type 2 Diabetes
Michael M Richter, Mads N Thomsen, Mads J Skytte, Sasha A S Kjeldsen, Amirsalar Samkani, Jan Frystyk, Faidon Magkos, Jens J Holst, Sten Madsbad, Thure Krarup, Steen B Haugaard, Nicolai J Wewer Albrechtsen
Journal of the Endocrine Society.2024;[Epub] CrossRef
Serum Growth Differentiation Factor 15 Levels Predict the Incidence of Frailty among Patients with Cardiometabolic Diseases
Kazuhito Oba, Joji Ishikawa, Yoshiaki Tamura, Yasunori Fujita, Masafumi Ito, Ai Iizuka, Yoshinori Fujiwara, Remi Kodera, Kenji Toyoshima, Yuko Chiba, Masashi Tanaka, Atsushi Araki
Gerontology.2024; 70(5): 517. CrossRef
Growth differentiation factor 15 and malnutrition in older adults
Nazanin Rostami, Blanca Fabre-Estremera, Antonio Buño-Soto, José R Banegas, Fernando Rodríguez-Artalejo, Rosario Ortolá
The Journal of nutrition, health and aging.2024; 28(6): 100230. CrossRef
Evaluation of the relation between subclinical systolic dysfunction defined by four-dimensional speckle-tracking echocardiography and growth differentiation factor-15 levels in patients with acromegaly
Busra Firlatan, Ugur Nadir Karakulak, Vedat Hekimsoy, Burcin Gonul Iremli, Incilay Lay, Deniz Yuce, Selcuk Dagdelen, Giray Kabakci, Tomris Erbas
Hormones.2024; 23(4): 777. CrossRef
Nausea, vomiting and conflict in pregnancy
Bernard J Crespi
Evolution, Medicine, and Public Health.2024; 12(1): 75. CrossRef
Correlations between growth differentiation factor 15 (GDF-15) serum levels and gene polymorphism with type 2 diabetes mellitus
Qiumei Liu, Lidong Qin, Yujian Liang, Min Xu, Junling Zhang, Xiaoting Mo, Xu Tang, Yufu Lu, Xuexiu Wang, Jiejing Cao, Chuwu Huang, Jiahui Rong, Kaisheng Teng, Linhai Zhao, Songju Wu, Lei Luo, Qinyi Guan, TianTian Zhang, Wenjia Jin, Jian Qin, Jiansheng Cai
Heliyon.2024; 10(12): e33044. CrossRef
Growth differentiation factor 15 is not modified after weight loss induced by liraglutide in South Asians and Europids with type 2 diabetes mellitus
Carlijn A. Hoekx, Maaike E. Straat, Maurice B. Bizino, Huub J. van Eyk, Hildebrandus J. Lamb, Johannes W. A. Smit, Ingrid M. Jazet, Saskia C. A. de Jager, Mariëtte R. Boon, Borja Martinez‐Tellez
Experimental Physiology.2024; 109(8): 1292. CrossRef
GDF-15 and mtDNA Deletions Are Useful Biomarkers of Mitochondrial Dysfunction in Insulin Resistance and PCOS
Vera Varhegyi, Anna Modos, Domonkos Trager, Dora Gerszi, Eszter Maria Horvath, Miklos Sipos, Nandor Acs, Maria Judit Molnar, Szabolcs Varbiro, Aniko Gal
International Journal of Molecular Sciences.2024; 25(20): 10916. CrossRef
Alterations in Biomarkers Associated with Cardiovascular Health and Obesity with Short-Term Lifestyle Changes in Overweight Women: The Role of Exercise and Diet
Nezihe Şengün, Ragıp Pala, Vedat Çınar, Taner Akbulut, Alin Larion, Johnny Padulo, Luca Russo, Gian Mario Migliaccio
Medicina.2024; 60(12): 2019. CrossRef
Exploration of meteorin-like peptide (metrnl) predictors in type 2 diabetic patients: the potential role of irisin, and other biochemical parameters
Yaser Khajebishak, Amir Hossein Faghfouri, Ali Soleimani, Sadra Madani, Laleh Payahoo
Hormone Molecular Biology and Clinical Investigation.2023; 44(2): 127. CrossRef
Relationship between meteorin-like peptide (Metrnl) serum levels and inflammatory cytokines, oxidative stress biomarkers and body composition parameters in type 2 diabetes patients
Yaser Khajebishak, Sadra Madani, Amir Hossein Faghfouri, Ali Soleimani, Sara Ilaei, Said Peyrovi, Laleh Payahoo
Nutrition & Food Science.2023; 53(5): 861. CrossRef
Effects of acute exercise and exercise training on plasma GDF15 concentrations and associations with appetite and cardiometabolic health in individuals with overweight or obesity – A secondary analysis of a randomized controlled trial
Jonas Salling Quist, Anders Bue Klein, Kristine Færch, Kristine Beaulieu, Mads Rosenkilde, Anne Sofie Gram, Anders Sjödin, Signe Torekov, Bente Stallknecht, Christoffer Clemmensen, Martin Bæk Blond
Appetite.2023; 182: 106423. CrossRef
Significant increase of serum extracellular vesicle-packaged growth differentiation factor 15 in type 2 diabetes mellitus: a cross-sectional study
Wen Zhao, Xinwei Li, Xinxin Li, Lu Peng, Yu Li, Yunhui Du, Jianxun He, Yanwen Qin, Huina Zhang
European Journal of Medical Research.2023;[Epub] CrossRef
Association between growth differentiation factor 15 levels and gestational diabetes mellitus: A combined analysis
Yi-Cheng Lu, Song-Liang Liu, Yu-Shan Zhang, Fei Liang, Xiao-Yan Zhu, Yue Xiao, Jing Wang, Cong Ding, Sudipta Banerjee, Jie-Yun Yin, Qiu-Ping Ma
Frontiers in Endocrinology.2023;[Epub] CrossRef
Metformin triggers a kidney GDF15-dependent area postrema axis to regulate food intake and body weight
Song-Yang Zhang, Kyla Bruce, Zahra Danaei, Rosa J.W. Li, Daniel R. Barros, Rachel Kuah, Yu-Mi Lim, Laura H. Mariani, David Z. Cherney, Jennifer F.M. Chiu, Heather N. Reich, Tony K.T. Lam
Cell Metabolism.2023; 35(5): 875. CrossRef
Growth differentiation factor 15 (GDF-15) in endocrinology
Pedro Iglesias, Ramona A. Silvestre, Juan J. Díez
Endocrine.2023; 81(3): 419. CrossRef
Identification of biomarkers for glycaemic deterioration in type 2 diabetes
Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, A
Nature Communications.2023;[Epub] CrossRef
Metabolic syndrome and Growth Differentiation Factor 15 in older adults
Adrián Carballo-Casla, Esther García-Esquinas, Antonio Buño-Soto, Ellen A. Struijk, Esther López-García, Fernando Rodríguez-Artalejo, Rosario Ortolá
GeroScience.2022; 44(2): 867. CrossRef
Associations between GDF15 Levels and Pre-Diabetes in Non-Obese Subjects
Hao-Chang Hung, Hung-Tsung Wu, Ching-Han Lin, Hsuan-Wen Chou, Horng-Yih Ou, Chih-Jen Chang
Journal of Investigative Medicine.2022; 70(1): 79. CrossRef
Growth Differentiation Factor-15 as a Biomarker of Obese Pre-diabetes and Type 2 Diabetes Mellitus in Indian Subjects: A Case-control Study
Dipayan Roy, Purvi Purohit, Anupama Modi, Manoj Khokhar, Ravindra Kumar Gayaprasad Shukla, Ramkaran Chaudhary, Shrimanjunath Sankanagoudar, Praveen Sharma
Current Diabetes Reviews.2022;[Epub] CrossRef
Growth Differentiation Factor 15 Protects SH-SY5Y Cells From Rotenone-Induced Toxicity by Suppressing Mitochondrial Apoptosis
Peizheng Li, Hongbo Lv, Bohan Zhang, Ruonan Duan, Xiufang Zhang, Pengfei Lin, Chengyuan Song, Yiming Liu
Frontiers in Aging Neuroscience.2022;[Epub] CrossRef
GDF-15 as a Therapeutic Target of Diabetic Complications Increases the Risk of Gallstone Disease: Mendelian Randomization and Polygenic Risk Score Analysis
Lili Yu, Yajing Zhou, Lijuan Wang, Xuan Zhou, Jing Sun, Jiarui Xiao, Xiaolin Xu, Susanna C. Larsson, Shuai Yuan, Xue Li
Frontiers in Genetics.2022;[Epub] CrossRef
Sex-specific modulation of circulating growth differentiation factor-15 in patients with type 2 diabetes and/or obesity
Mohamed Asrih, Flore Sinturel, Richard Dubos, Idris Guessous, Zoltan Pataky, Charna Dibner, François R Jornayvaz, Karim Gariani
Endocrine Connections.2022;[Epub] CrossRef
Raised circulating soluble growth differentiation factor 15 is negatively associated with testosterone level in hypogonadic men with type 2 diabetes
Yufeng Mei, Yongnan Lyu, Juan Le, Di Li, Hang Liu, Zhiming Zhao, Yan Li
Diabetes/Metabolism Research and Reviews.2022;[Epub] CrossRef
NCAM1 and GDF15 are biomarkers of Charcot-Marie-Tooth disease in patients and mice
Matthew J Jennings, Alexia Kagiava, Leen Vendredy, Emily L Spaulding, Marina Stavrou, Denisa Hathazi, Anika Grüneboom, Vicky De Winter, Burkhard Gess, Ulrike Schara, Oksana Pogoryelova, Hanns Lochmüller, Christoph H Borchers, Andreas Roos, Robert W Burges
Brain.2022; 145(11): 3999. CrossRef
Metformin and growth differentiation factor 15 (GDF15) in type 2 diabetes mellitus: A hidden treasure
Hayder M. Al‐kuraishy, Ali I. Al‐Gareeb, Athanasios Alexiou, Marios Papadakis, Eman Hassan Nadwa, Sarah M. Albogami, Mohammed Alorabi, Hebatallah M. Saad, Gaber El‐Saber Batiha
Journal of Diabetes.2022; 14(12): 806. CrossRef
GDF15 is an exercise-induced hepatokine regulated by glucagon and insulin in humans
Peter Plomgaard, Jakob S. Hansen, Logan K. Townsend, Anders Gudiksen, Niels H. Secher, Jens O. Clemmesen, Rene K. Støving, Jens P. Goetze, David C. Wright, Henriette Pilegaard
Frontiers in Endocrinology.2022;[Epub] CrossRef
A study of serum growth differentiation factor 15 in Indian women with and without gestational diabetes mellitus in the third trimester of pregnancy and its association with pro-inflammatory markers and glucose metabolism
Sudipta Banerjee, Rana Bhattacharjee, Amitabh Sur, Pieu Adhikary, Subhankar Chowdhury
Diabetology International.2021; 12(3): 254. CrossRef
Growth Differentiation Factor 15 is a Cancer Cell-Induced Mitokine That Primes Thyroid Cancer Cells for Invasiveness
Yea Eun Kang, Jin Man Kim, Mi Ae Lim, Seong Eun Lee, Shinae Yi, Jung Tae Kim, Chan Oh, Lihua Liu, Yanli Jin, Seung-Nam Jung, Ho-Ryun Won, Jae Won Chang, Jeong Ho Lee, Hyun Jung Kim, Hyun Yong Koh, Sangmi Jun, Sun Wook Cho, Minho Shong, Bon Seok Koo
Thyroid®.2021; 31(5): 772. CrossRef
The GDF15-GFRAL Pathway in Health and Metabolic Disease: Friend or Foe?
Samuel N. Breit, David A. Brown, Vicky Wang-Wei Tsai
Annual Review of Physiology.2021; 83(1): 127. CrossRef
Associations of GDF-15 and GDF-15/adiponectin ratio with odds of type 2 diabetes in the Chinese population
Xiaoying Wu, Wenting Xuan, Lili You, Hong Lian, Feng Li, Xiaoyun Zhang, Qingyu Chen, Kan Sun, Chaogang Chen, Mingtong Xu, Yan Li, Li Yan, Xiuwei Zhang, Meng Ren
Endocrine.2021; 72(2): 423. CrossRef
Decreased serum growth differentiation factor 15 levels after lifestyle intervention in patients with newly diagnosed type 2 diabetes mellitus
Xingxing He, Jiaorong Su, Xiaojing Ma, Jingyi Lu, Yufei Wang, Jun Yin, Yuqian Bao, Gang Hu, Jian Zhou
Obesity Medicine.2021; 24: 100345. CrossRef
The anti-diabetic effects of NAG-1/GDF15 on HFD/STZ-induced mice
Pattawika Lertpatipanpong, Jaehak Lee, Ilju Kim, Thomas Eling, Seung Yeon Oh, Je Kyung Seong, Seung Joon Baek
Scientific Reports.2021;[Epub] CrossRef
The Regulation of Circulating Hepatokines by Fructose Ingestion in Humans
Michael M Richter, Peter Plomgaard
Journal of the Endocrine Society.2021;[Epub] CrossRef
GDF15: emerging biology and therapeutic applications for obesity and cardiometabolic disease
Dongdong Wang, Emily A. Day, Logan K. Townsend, Djordje Djordjevic, Sebastian Beck Jørgensen, Gregory R. Steinberg
Nature Reviews Endocrinology.2021; 17(10): 592. CrossRef
High Fat, High Sugar Diet and DJOS Bariatric Surgery Influence Plasma Levels of Fetuin-B, Growth Differentiation Factor-15, and Pentraxin 3 in Diet-Induced Obese Sprague–Dawley Rats
Jakub Poloczek, Monika Tarnawska, Elżbieta Chełmecka, Piotr Łaszczyca, Janusz Gumprecht, Dominika Stygar
Nutrients.2021; 13(10): 3632. CrossRef
Serum growth differentiation factor 15 level is associated with muscle strength and lower extremity function in older patients with cardiometabolic disease
Kazuhito Oba, Joji Ishikawa, Yoshiaki Tamura, Yasunori Fujita, Masafumi Ito, Ai Iizuka, Yoshinori Fujiwara, Remi Kodera, Ayumi Toba, Kenji Toyoshima, Yuko Chiba, Seijiro Mori, Masashi Tanaka, Hideki Ito, Kazumasa Harada, Atsushi Araki
Geriatrics & Gerontology International.2020; 20(10): 980. CrossRef
Growth differentiation factor 15 (GDF-15) is a potential biomarker of both diabetic kidney disease and future cardiovascular events in cohorts of individuals with type 2 diabetes: a proteomics approach
Axel C. Carlsson, Christoph Nowak, Lars Lind, Carl Johan Östgren, Fredrik H. Nyström, Johan Sundström, Juan Jesus Carrero, Ulf Riserus, Erik Ingelsson, Tove Fall, Johan Ärnlöv
Upsala Journal of Medical Sciences.2020; 125(1): 37. CrossRef
Elevated Plasma Growth and Differentiation Factor 15 Is Associated With Slower Gait Speed and Lower Physical Performance in Healthy Community-Dwelling Adults
Richard D Semba, Marta Gonzalez-Freire, Toshiko Tanaka, Angelique Biancotto, Pingbo Zhang, Michelle Shardell, Ruin Moaddel, Luigi Ferrucci, Anne Newman
The Journals of Gerontology: Series A.2020; 75(1): 175. CrossRef
Circulating Cardiac Biomarkers in Diabetes Mellitus: A New Dawn for Risk Stratification—A Narrative Review
Alexander E. Berezin, Alexander A. Berezin
Diabetes Therapy.2020; 11(6): 1271. CrossRef
Deterioration of Sleep Quality According to Glycemic Status
Myung Haeng Hur, Mi-Kyoung Lee, Kayeon Seong, Jun Hwa Hong
Diabetes & Metabolism Journal.2020; 44(5): 679. CrossRef
Effects of plant and animal high protein diets on immune-inflammatory biomarkers: A 6-week intervention trial
Mariya Markova, Liselot Koelman, Silke Hornemann, Olga Pivovarova, Stephanie Sucher, Juergen Machann, Natalia Rudovich, Ralph Thomann, Rosemarie Schneeweiss, Sascha Rohn, Andreas F.H. Pfeiffer, Krasimira Aleksandrova
Clinical Nutrition.2020; 39(3): 862. CrossRef
Effect of sleeve gastrectomy on plasma growth differentiation factor-15 (GDF15) in human
Ponnie Robertlee Dolo, Libin Yao, Peng Peng Liu, Jason Widjaja, Song Meng, Chao Li, Xiaocheng Zhu
The American Journal of Surgery.2020; 220(3): 725. CrossRef
Prognostication of clinical outcomes in diabetes mellitus: Emerging role of cardiac biomarkers
Alexander E. Berezin
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 995. CrossRef
Effect of bariatric surgery on plasma GDF15 in humans
Maximilian Kleinert, Kirstine N. Bojsen-Møller, Nils B. Jørgensen, Maria S. Svane, Christoffer Martinussen, Bente Kiens, Jørgen F.P. Wojtaszewski, Sten Madsbad, Erik A. Richter, Christoffer Clemmensen
American Journal of Physiology-Endocrinology and Metabolism.2019; 316(4): E615. CrossRef
Regulation of Systemic Glucose Homeostasis by T Helper Type 2 Cytokines
Yea Eun Kang, Hyun Jin Kim, Minho Shong
Diabetes & Metabolism Journal.2019; 43(5): 549. CrossRef
GDF15 reflects beta cell function in obese patients independently of the grade of impairment of glucose metabolism
M.H. Schernthaner-Reiter, B.K. Itariu, M. Krebs, M. Promintzer-Schifferl, T.M. Stulnig, A. Tura, C.H. Anderwald, M. Clodi, B. Ludvik, G. Pacini, A. Luger, G. Vila
Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(4): 334. CrossRef
Growth differentiation factor 15: A novel biomarker with high clinical potential
Stéphanie Desmedt, Valérie Desmedt, Leen De Vos, Joris R. Delanghe, Reinhart Speeckaert, Marijn M. Speeckaert
Critical Reviews in Clinical Laboratory Sciences.2019; 56(5): 333. CrossRef
Hepatokines—a novel group of exercise factors
Cora Weigert, Miriam Hoene, Peter Plomgaard
Pflügers Archiv - European Journal of Physiology.2019; 471(3): 383. CrossRef
Association between MIC-1 and Type 2 Diabetes: A Combined Analysis
Jianan Lu, Yue Zhang, Xingxuan Dong, Jiawen Lu, Chen Zhang, Jieyu Liu, Qingzhou Yu, Haoyue Teng, Qingkui Yao, Jieyun Yin, Liqiang Qin
Disease Markers.2019; 2019: 1. CrossRef
The mitochondrial unfolded protein response and mitohormesis: a perspective on metabolic diseases
Hyon-Seung Yi, Joon Young Chang, Minho Shong
Journal of Molecular Endocrinology.2018; 61(3): R91. CrossRef
Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases
Ana Luisa Cardoso, Adelaide Fernandes, Juan Antonio Aguilar-Pimentel, Martin Hrabě de Angelis, Joana Ribeiro Guedes, Maria Alexandra Brito, Saida Ortolano, Giovambattista Pani, Sophia Athanasopoulou, Efstathios S. Gonos, Markus Schosserer, Johannes Grilla
Ageing Research Reviews.2018; 47: 214. CrossRef
Serum Meteorin-like protein levels decreased in patients newly diagnosed with type 2 diabetes
Ju Hee Lee, Yea Eun Kang, Ji Min Kim, Sorim Choung, Kyong Hye Joung, Hyun Jin Kim, Bon Jeong Ku
Diabetes Research and Clinical Practice.2018; 135: 7. CrossRef
Growth differentiation factor 15 predicts advanced fibrosis in biopsy‐proven non‐alcoholic fatty liver disease
Bo Kyung Koo, Sung Hee Um, Dong Soo Seo, Sae Kyung Joo, Jeong Mo Bae, Jeong Hwan Park, Mee Soo Chang, Jung Ho Kim, Jieun Lee, Won‐Il Jeong, Won Kim
Liver International.2018; 38(4): 695. CrossRef
Serum Growth Differentiation Factor 15 in Parkinson Disease
Xiaomei Yao, Dong Wang, Lei Zhang, Lingling Wang, Zhenxiang Zhao, Si Chen, Xiaotang Wang, Tao Yue, Yiming Liu
Neurodegenerative Diseases.2017; 17(6): 251. CrossRef
GDF15 deficiency exacerbates chronic alcohol- and carbon tetrachloride-induced liver injury
Hyo Kyun Chung, Jung Tae Kim, Hyeon-Woo Kim, Minjoo Kwon, So Yeon Kim, Minho Shong, Koon Soon Kim, Hyon-Seung Yi
Scientific Reports.2017;[Epub] CrossRef
Growth differentiation factor 15 as a predictor of adverse renal outcomes in patients with immunoglobulin A nephropathy
Ki R. Na, Yoo H. Kim, Hyo K. Chung, Min‐Kyung Yeo, Young R. Ham, Jin Y. Jeong, Koon S. Kim, Kang W. Lee, Dae E. Choi
Internal Medicine Journal.2017; 47(12): 1393. CrossRef
GDF15 contributes to radiation-induced senescence through the ROS-mediated p16 pathway in human endothelial cells
Hyejin Park, Chun-Ho Kim, Jae-Hoon Jeong, Myungjin Park, Kwang Seok Kim
Oncotarget.2016; 7(9): 9634. CrossRef
GDF-15 and Hepcidin Levels in Nonanemic Patients with Impaired Glucose Tolerance
Mehmet Muhittin Yalcin, Alev Eroglu Altinova, Mujde Akturk, Ozlem Gulbahar, Emre Arslan, Damla Ors Sendogan, Ilhan Yetkin, Fusun Balos Toruner
Journal of Diabetes Research.2016; 2016: 1. CrossRef
Cardiac‐Secreted Factors as Peripheral Metabolic Regulators and Potential Disease Biomarkers
Colleen M. Dewey, Kathryn M. Spitler, Jessica M. Ponce, Duane D. Hall, Chad E. Grueter
Journal of the American Heart Association.2016;[Epub] CrossRef
Determinants of growth differentiation factor 15 in patients with stable and acute coronary artery disease. A prospective observational study
Serdar Farhan, Matthias K. Freynhofer, Ivan Brozovic, Veronika Bruno, Birgit Vogel, Ioannis Tentzeris, Sabina Baumgartner-Parzer, Kurt Huber, Alexandra Kautzky-Willer
Cardiovascular Diabetology.2016;[Epub] CrossRef
Effect of Atorvastatin on Growth Differentiation Factor-15 in Patients with Type 2 Diabetes Mellitus and Dyslipidemia
Ji Min Kim, Min Kyung Back, Hyon-Seung Yi, Kyong Hye Joung, Hyun Jin Kim, Bon Jeong Ku
Diabetes & Metabolism Journal.2016; 40(1): 70. CrossRef
Association between Growth Differentiation Factor 15 (GDF15) and Cardiovascular Risk in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
Min Young Shin, Ji Min Kim, Yea Eun Kang, Min Kyeong Kim, Kyong Hye Joung, Ju Hee Lee, Koon Soon Kim, Hyun Jin Kim, Bon Jeong Ku, Minho Shong
Journal of Korean Medical Science.2016; 31(9): 1413. CrossRef
Comparison of Transcriptome Between Type 2 Diabetes Mellitus and Impaired Fasting Glucose
Ying Cui, Wen Chen, Jinfeng Chi, Lei Wang
Medical Science Monitor.2016; 22: 4699. CrossRef
Letter: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
Bo Kyung Koo
Diabetes & Metabolism Journal.2015; 39(1): 82. CrossRef
Relationship between hepcidin and GDF15 in anemic patients with type 2 diabetes without overt renal impairment
Jun Hwa Hong, Yeon-Kyung Choi, Byong-Keol Min, Kang Seo Park, Kayeon Seong, In Kyu Lee, Jung Guk Kim
Diabetes Research and Clinical Practice.2015; 109(1): 64. CrossRef
Response: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J2014;38:472-9)
Jun Hwa Hong, Bon Jeong Ku, Minho Shong
Diabetes & Metabolism Journal.2015; 39(1): 84. CrossRef
Is GDF15 a Novel Biomarker to Predict the Development of Prediabetes or Diabetes?
Kyu Yeon Hur
Diabetes & Metabolism Journal.2014; 38(6): 437. CrossRef

Subclinical Hypothyroidism Is Independently Associated with Microalbuminuria in a Cohort of Prediabetic Egyptian Adults: Mervat M. El-Eshmawy, Hala A. Abd El-Hafez, Walaa Othman El Shabrawy, Ibrahim A. Abdel Aal; Diabetes Metab J. 2013;37(6):450-457. Published online December 12, 2013; DOI: https://doi.org/10.4093/dmj.2013.37.6.450

7,337 View
47 Download
21 Crossref

Abstract PDF PubReader ePub

Background

Recent evidence has suggested an association between subclinical hypothyroidism (SCH) and microalbuminuria in patients with type 2 diabetes. However, whether SCH is related to microalbuminuria among subjects with prediabetes has not been studied. Thus, we evaluated the association between SCH and microalbuminuria in a cohort of prediabetic Egyptian adults.

Methods

A total of 147 prediabetic subjects and 150 healthy controls matched for age and sex were enrolled in this study. Anthropometric measurements, plasma glucose, lipid profile, homeostasis model assessment of insulin resistance (HOMA-IR), thyroid stimulating hormone (TSH), free thyroxine, triiodothyronine levels, and urinary albumin-creatinine ratio (UACR) were assessed.

Results

The prevalence of SCH and microalbuminuria in the prediabetic subjects was higher than that in the healthy controls (16.3% vs. 4%, P<0.001; and 12.9% vs. 5.3%, P=0.02, respectively). Prediabetic subjects with SCH were characterized by significantly higher HOMA-IR, TSH levels, UACR, and prevalence of microalbuminuria than those with euthyroidism. TSH level was associated with total cholesterol (P=0.05), fasting insulin (P=0.01), HOMA-IR (P=0.01), and UACR (P=0.005). UACR was associated with waist circumference (P=0.01), fasting insulin (P=0.05), and HOMA-IR (P=0.02). With multiple logistic regression analysis, SCH was associated with microalbuminuria independent of confounding variables (β=2.59; P=0.01).

Conclusion

Our findings suggest that prediabetic subjects with SCH demonstrate higher prevalence of microalbuminuria than their non-SCH counterparts. SCH is also independently associated with microalbuminuria in prediabetic subjects. Screening and treatment for SCH may be warranted in those patients.

Citations

Citations to this article as recorded by

Association between FT4/FT3 ratio and microalbuminuria in euthyroid patients with type 2 diabetes mellitus
Hongyan Zhao, Xuan Ma, Shuwei Shi, Xin Wang, Jie Sheng, Bo Ban, Guanqi Gao, Baolan Ji
Scientific Reports.2025;[Epub] CrossRef
Subclinical hypothyroidism and type 2 diabetes mellitus: An update
Shailendra Kumar Singh, Rina Singh, Sonam Bedi, Arun Kumar Pandey, Alankar Tiwari, Pradeep Kumar Rai
Thyroid Research and Practice.2024; 20(3): 89. CrossRef
The prevalence of subclinical hypothyroidism in a pre-diabetes population and an analysis of related factors
Xingyu Chang, Yaqi Wang, Yi Liu, Yanyu Shen, Jiaqing Feng, Qianqian Liu, Chenjun Jiang, Jing Yu, Xulei Tang, Gaojing Jing, Qianglong Niu, Songbo Fu
Annals of Medicine.2023; 55(1): 643. CrossRef
High Thyroid-Stimulating Hormone and Low Free Triiodothyronine Levels Are Associated with Chronic Kidney Disease in Three Population-Based Studies from Germany
Till Ittermann, Sabrina von Rheinbaben, Marcello R. P. Markus, Marcus Dörr, Antje Steveling, Matthias Nauck, Alexander Teumer, Maik Gollasch, Dominik Spira, Maximilian König, Ilja Demuth, Elisabeth Steinhagen-Thiessen, Henry Völzke, Sylvia Stracke
Journal of Clinical Medicine.2023; 12(17): 5763. CrossRef
Free triiodothyronine predicts the risk of developing diabetic kidney disease
Weihong Li, Zhi Yang, Shengjian Li, Shanshan Jiang, Wan Hu, Zhenying Wan, Ping Tu, Peng Duan
BMC Nephrology.2023;[Epub] CrossRef
The Correlation between Thyroid Hormone Levels and the Kidney Disease Progression Risk in Patients with Type 2 Diabetes
Zhi Yang, Peng Duan, Weihong Li, Ronghui Nie, Xiaoyang Lou, Lina Wang, Kexia Wu, Jiang Liu, Ping Tu, Xiaoyang Lai
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 59. CrossRef
Thyroid hormone status in patients with impaired kidney function
Juliane Peters, Stefanos Roumeliotis, Peter R. Mertens, Vassilios Liakopoulos
International Urology and Nephrology.2021; 53(11): 2349. CrossRef
Subclinical hypothyroidism is associated with albuminuria in Japanese nondiabetic subjects
Akiko Toda, Shigeko Hara, Hiroshi Tsuji, Yasuji Arase
Endocrine.2020; 68(3): 592. CrossRef
Hypothyroidism and Kidney Function: A Mendelian Randomization Study
Christina Ellervik, Samia Mora, Paul M. Ridker, Daniel I. Chasman
Thyroid.2020; 30(3): 365. CrossRef
Relationship between serum thyrotropin and urine albumin excretion in euthyroid subjects with diabetes
Gautam Das, Peter N Taylor, Hussam Abusahmin, Amer Ali, Brian P Tennant, John Geen, Onyebuchi Okosieme
Annals of Clinical Biochemistry: International Journal of Laboratory Medicine.2019; 56(1): 155. CrossRef
The longitudinal effect of subclinical hypothyroidism on urine microalbumin-to-urine creatinine ratio in patients with type 2 diabetes mellitus
Juan Xie, Xiaoqing Wang, Yiyuan Zhang, Hailun Li, Yong Xu, Donghui Zheng
BMC Endocrine Disorders.2019;[Epub] CrossRef
The effect of l-thyroxine substitution on oxidative stress in early-stage diabetic nephropathy patients with subclinical hypothyroidism: a randomized double-blind and placebo-controlled study
Yong Chen, Ganlin Wu, Meirong Xu
International Urology and Nephrology.2018; 50(1): 97. CrossRef
Association between subclinical hypothyroidism and diabetic nephropathy in type 2 diabetes
Ayman Abd-Elrahman Mohamed Nsr-Allah, Azza H. Abd-El Fatah, Mahmoud Azab, Maggie M. Fawzi
The Egyptian Journal of Internal Medicine.2018; 30(3): 160. CrossRef
Role of Microalbuminuria in Predicting Cardiovascular Mortality in Individuals With Subclinical Hypothyroidism
Tushar A. Tuliani, Maithili Shenoy, Kevin Belgrave, Abhishek Deshmukh, Sadip Pant, Anthony Hilliard, Luis Afonso
The American Journal of the Medical Sciences.2017; 354(3): 285. CrossRef
Inositol(s) in thyroid function, growth and autoimmunity
Salvatore Benvenga, Alessandro Antonelli
Reviews in Endocrine and Metabolic Disorders.2016; 17(4): 471. CrossRef
Hypothyroïdie infra-clinique et risque d’évènements cardiovasculaires chez la femme diabétique de type 2
M. Gourine, K. Bentadj, S. Mostefa-Kara, A. Cherrak, S. Halimi, M. Belhadj
Médecine des Maladies Métaboliques.2016; 10(5): 466. CrossRef
Can levothyroxine treatment reduce urinary albumin excretion rate in patients with early type 2 diabetic nephropathy and subclinical hypothyroidism? A randomized double-blind and placebo-controlled study
Peng Liu, Ruidong Liu, Xia Chen, Yingying Chen, Debao Wang, Fengmei Zhang, Yangang Wang
Current Medical Research and Opinion.2015; 31(12): 2233. CrossRef
Free Triiodothyronine Levels Are Associated with Diabetic Nephropathy in Euthyroid Patients with Type 2 Diabetes
Jingcheng Wu, Xiaohua Li, Yang Tao, Yufei Wang, Yongde Peng
International Journal of Endocrinology.2015; 2015: 1. CrossRef
Letter: Subclinical Hypothyroidism Is Independently Associated with Microalbuminuria in a Cohort of Prediabetic Egyptian Adults (Diabetes Metab J2013;37:450-7)
In-Kyung Jeong
Diabetes & Metabolism Journal.2014; 38(1): 83. CrossRef
Free Triiodothyronine Concentrations Are Inversely Associated with Microalbuminuria
Yulin Zhou, Lei Ye, Tiange Wang, Jie Hong, Yufang Bi, Jie Zhang, Baihui Xu, Jichao Sun, Xiaolin Huang, Min Xu
International Journal of Endocrinology.2014; 2014: 1. CrossRef
Thyroid hormone and heart failure: from myocardial protection to systemic regulation
Laura Sabatino, Giorgio Iervasi, Alessandro Pingitore
Expert Review of Cardiovascular Therapy.2014; 12(10): 1227. CrossRef

Prevalence of Diabetes and Prediabetes according to Fasting Plasma Glucose and HbA1c: Ja Young Jeon, Seung-Hyun Ko, Hyuk-Sang Kwon, Nan Hee Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Myoung-jin Jang, Yuna Kim, Kyungwon Oh, Dae Jung Kim, Bong-Yun Cha; Diabetes Metab J. 2013;37(5):349-357. Published online October 17, 2013; DOI: https://doi.org/10.4093/dmj.2013.37.5.349

16,955 View
120 Download
133 Crossref

Abstract PDF PubReader ePub

Background

Due to the inconvenience of performing oral glucose tolerance tests and day to day variability in glucose level, glycated hemoglobin (HbA1c) has been recommended by the American Diabetes Association as a method to diagnose diabetes. In addition, the Korean Diabetes Association has also recommended the use of HbA1c as a diagnostic test for diabetes. In this study, we evaluated the prevalence of diabetes according to fasting plasma glucose (FPG) level only or the combination of FPG and HbA1c tests.

Methods

Data from the 2011 Korea National Health and Nutrition Examination Survey (KNHANES) were analyzed. Among 5,811 subjects aged 30 years or older, 5,020 were selected after excluding the data of fasting time <8 hours, missing values from fasting glucose or HbA1c level, previous diagnosis of diabetes made by physicians, or current use of antidiabetic medications. Diabetes was defined as FPG ≥126 mg/dL, previous diagnosis of diabetes made by a medical doctor, current use of antidiabetic medications, and/or HbA1c ≥6.5%. Prediabetes was defined as FPG of 100 to 125 mg/dL and/or HbA1c of 5.7% to 6.4%.

Results

When we used FPG only, the prevalence of diabetes and prediabetes were 10.5% (men, 12.6%; women, 8.5%) and 19.3% (men, 23.8%; women, 14.9%), respectively. When HbA1c was included as a diagnostic test, the prevalence of diabetes and prediabetes increased to 12.4% (men, 14.5%; women, 10.4%) and 38.3% (men, 41%; women, 35.7%), respectively. Participants with HbA1c ≥6.5% and fasting glucose level <126 mg/dL were older and had lower estimated glomerular filtration rate.

Conclusion

We concluded that using fasting glucose level only may result in an underestimation of diabetes and prediabetes. HbA1c is an acceptable complementary diagnostic test for diabetes in Korean patients. However, national standardization is needed to order to use HbA1c as a diagnostic method of diabetes and prediabetes.

Citations

Citations to this article as recorded by

Fracture risk by post-cessation weight change in male patients with newly diagnosed type 2 diabetes mellitus
Jina Chung, Sangwoo Park, Sun Jae Park, Hye Jun Kim, Jaewon Kim, Hyeokjong Lee, Seogsong Jeong, Young Jun Park, Kyae Hyung Kim, Hyun-Young Shin, Minjung Han, Kiheon Lee, Sang Min Park
The American Journal of Medicine.2026; 139(4): 454. CrossRef
Insulin resistance indices and periodontitis in patients with diabetes: A nationwide population‐based study
Yuri Kim, Ji‐Eun Kim, Ki‐Ho Chung
Journal of Periodontology.2026;[Epub] CrossRef
Association Between Perceived Stress and Pronunciation Problems in Korean Adults: A Population-Based Study (KNHANES 2021-2023)
Jung-eun Park
International Journal of Clinical Preventive Dentistry.2026; 22(1): 8. CrossRef
Association between number of teeth and oxidative balance score in Korean adults: a population-based study
Jung-Eun Park
Korean Journal of Community Nutrition.2026; 31(1): 64. CrossRef
Nutrition risk and burden of type 2 diabetes in the United Arab Emirates: Prevention and implications
Aaesha Salem Alhebsi, Tareq Mohammed Ibrahim Osaili, Makhayel Sultan Alkaabi, Maysm N. Mohamad, Falak Zeb, Leila Cheikh Ismail
Advances in Biomedical and Health Sciences.2026; 5(2): 61. CrossRef
Oxidative balance score and periodontitis in postmenopausal women: a nationwide study
Jeong-Hwa Seon, Ki-Ho Chung
Climacteric.2026; : 1. CrossRef
Oxidative balance scores in Korean adults are associated with periodontitis
Jeong‐Hwa Seon, Na‐Yeong Kim, Ji‐Eun Kim, Choong‐Ho Choi, Ki‐Ho Chung
Journal of Periodontology.2025; 96(2): 176. CrossRef
Noninvasive estimation of blood glucose and HbA1c using Quantum Machine Learning technique
Parama Sridevi, Masud Rabbani, Md Hasanul Aziz, Paramita Basak Upama, Sayed Mashroor Mamun, Rumi Ahmed Khan, Sheikh Iqbal Ahamed
Machine Learning with Applications.2025; 19: 100626. CrossRef
Optimizing the critical value of fasting plasma glucose for accurate diagnosis of diabetes mellitus in Chinese: A population study
Ying Xu, Jinliang Cai, Jingyi Zhang, Wenjian Shi, Wenye Jiao, Xiaolu Zhang, Dongmei Wang, Lin Liu
International Journal of Diabetes in Developing Countries.2025;[Epub] CrossRef
Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data
YounSung Jung, SeanKyo Han, EunHee Kang, SoYoung Park, MinHee Kim, NanHee Kim, TaeJin Ahn
Scientific Reports.2025;[Epub] CrossRef
Air pollution, drought, and their synergistic effects on cardiovascular disease risk in China: a nationwide study
Chaohao Ling, Rui Li, Qian Shen, Lulu Cui, Mangen Yang, Zhou Liu, Tianzhao Xu, Wenwen Sun, Shaofu He
Environmental Pollution.2025; 384: 126955. CrossRef
Relationship between Serum Cadmium Concentration and Lung Function: A Study Using Korea National Health and Nutrition Examination Survey Data
Oh Beom Kwon, Eun Ju Lee, Myoung-Nam Lim, Jeeyoung Kim, Woo Jin Kim
Tuberculosis and Respiratory Diseases.2025; 88(4): 696. CrossRef
Occupational and Physical Activity Factors as Predictors of Prediabetes
Jun-hee Kim
Journal of Occupational & Environmental Medicine.2025; 67(11): e814. CrossRef
Sex differences in the associations between socioeconomic status and all-cause mortality in Chinese adults with abnormal glucose metabolism: a prospective study
Jia-min Yan, Min-zhe Zhang, Hong-jie Yu, Qi-qiang He
BMC Public Health.2025;[Epub] CrossRef
Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data
Hye Ah Lee, Hyesook Park, Young Sun Hong
Journal of Korean Medical Science.2024;[Epub] CrossRef
Dietary patterns and the risk of diabetes in Korean adults: A cross-sectional and prospective cohort study
Jiyoung Hwang, Hyesook Kim, Oran Kwon
Nutrition.2024; 125: 112491. CrossRef
Diabetes and prediabetes prevalence through a community-based screening initiative in Alqunfudah, Saudi Arabia
Saleh Ahmed Alshaikhi, Ahmed Madini Alamri, Ibrahim Yahya Alzilai, Ageel Ahmad Alghanimi, Ali Mohammad Alrufaidi, Ahmed Mohammed Alrufaidi, Ahmed Elsayed Bader, Ahmed Abushaisha Abdelmoniem, Ayoub Ali Alshaikh, Omar Ahmed Alshaikhi, Mohammed Ahmed Alshaik
Future Science OA.2024;[Epub] CrossRef
Investigating the Effects of Diet-Induced Prediabetes on Skeletal Muscle Strength in Male Sprague Dawley Rats
Mandlakazi Dlamini, Andile Khathi
International Journal of Molecular Sciences.2024; 25(7): 4076. CrossRef
Investigating Factors Influencing the National Cancer Screening Program among Older Individuals in Republic of Korea—Data from the Korea National Health and Nutrition Examination Survey VIII
Seok Hwan Kim, Hyo Eun Park
Healthcare.2024; 12(12): 1237. CrossRef
Association between gingivitis, tooth loss and cardiovascular risk: Insights from a 10-year nationwide cohort study of 3.7 million Koreans
Seung Yeon Lee, César Félix Cayo-Rojas
PLOS ONE.2024; 19(8): e0308250. CrossRef
Relationship between Marriage and Prediabetes among Healthcare Workers: Mediating Effect of Triglycerides
Yong-Hsin Chen, Jia-June Lin, Hsiu-Mei Tang, Ching-Wen Yang, Gwo-Ping Jong, Yi-Sun Yang
Medicina.2024; 60(9): 1418. CrossRef
Establishing a Female Animal Model of Prediabetes Using a High-Carbohydrate, High-Fat Diet
Ayanda Nkosi, Reveshni Pather, Bongeka Mshengu, Andile Khathi, Phikelelani Ngubane
Current Issues in Molecular Biology.2024; 46(11): 12397. CrossRef
Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants
Bin Zhou, Archie W Rayner, Edward W Gregg, Kate E Sheffer, Rodrigo M Carrillo-Larco, James E Bennett, Jonathan E Shaw, Christopher J Paciorek, Rosie K Singleton, Ana Barradas Pires, Gretchen A Stevens, Goodarz Danaei, Victor PF Lhoste, Nowell H Phelps, Ra
The Lancet.2024; 404(10467): 2077. CrossRef
Burden of Diabetes Mellitus and Its Determinants among Adults (≥30 Years) Residing in Urban Field Practice Area of A Tertiary Care Teaching Hospital, Uttar Dinajpur, West Bengal
Nabarun Mandal, Debayan Podder, Nazrul Mallick, Puspendu Biswas
Acta Medica International.2024; 11(3): 239. CrossRef
Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
The Korean Journal of Internal Medicine.2023; 38(1): 93. CrossRef
Comparison of diagnostic accuracy for diabetes diagnosis: A systematic review and network meta-analysis
Khanh N. C. Duong, Chia Jie Tan, Sasivimol Rattanasiri, Ammarin Thakkinstian, Thunyarat Anothaisintawee, Nathorn Chaiyakunapruk
Frontiers in Medicine.2023;[Epub] CrossRef
Evaluation of the Association between Amount and Type of Milk Consumption and Periodontitis: Data from the Korea National Health and Nutrition Examination Survey (2016–2018)
Eun Jeong Min, Siseong Jeong, Jun-Beom Park
Nutrients.2023; 15(4): 914. CrossRef
Association between body mass index and reversion to normoglycemia from impaired fasting glucose among Chinese adults: a 5-year cohort study
Yong Han, Haofei Hu, Zhiqiang Huang, Dehong Liu
Frontiers in Endocrinology.2023;[Epub] CrossRef
Evaluation of calcium/magnesium ratio in patients with type 2 diabetes mellitus
Kamile Yücel, Ali Fuat Gürbüz
Turkish Journal of Biochemistry.2023; 48(3): 327. CrossRef
Association of dietary sodium intake with impaired fasting glucose in adult cancer survivors: A population-based cross-sectional study
Kyuwoong Kim, Hamee Kim, Tae Joon Jun, Young-Hak Kim, Dong Keon Yon
PLOS ONE.2023; 18(5): e0286346. CrossRef
Sitagliptin: the fixed combination of the first dipeptidyl peptidase 4 inhibitor and metformin
L. V. Egshatyan
Meditsinskiy sovet = Medical Council.2023; (13): 116. CrossRef
Reply
Kiyoshi Tamura
Annals of Vascular Diseases.2023; 16(3): 244. CrossRef
The inverse association between DNA gaps and HbA1c levels in type 2 diabetes mellitus
Jirapan Thongsroy, Apiwat Mutirangura
Scientific Reports.2023;[Epub] CrossRef
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
Bin Zhou, Kate E. Sheffer, James E. Bennett, Edward W. Gregg, Goodarz Danaei, Rosie K. Singleton, Jonathan E. Shaw, Anu Mishra, Victor P. F. Lhoste, Rodrigo M. Carrillo-Larco, Andre P. Kengne, Nowell H. Phelps, Rachel A. Heap, Archie W. Rayner, Gretchen A
Nature Medicine.2023; 29(11): 2885. CrossRef
Lobeglitazone and Its Therapeutic Benefits: A Review
Balamurugan M, Sarumathy S, Robinson R
Cureus.2023;[Epub] CrossRef
Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination
Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da
The Journal of Korean Diabetes.2023; 24(4): 178. CrossRef
Trends in Prediabetes and Non-Alcoholic Fatty Liver Disease Associated with Abdominal Obesity among Korean Children and Adolescents: Based on the Korea National Health and Nutrition Examination Survey between 2009 and 2018
Kyungchul Song, Goeun Park, Hye Sun Lee, Myeongseob Lee, Hae In Lee, Jungmin Ahn, Eunbyoul Lee, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim, Hyun Wook Chae
Biomedicines.2022; 10(3): 584. CrossRef
Metabolic Effects of an Oral Glucose Tolerance Test Compared to the Mixed Meal Tolerance Tests: A Narrative Review
Marlene Lages, Renata Barros, Pedro Moreira, Maria P. Guarino
Nutrients.2022; 14(10): 2032. CrossRef
Diabetes Prevalence and Associated Risk Factors among Women in a Rural District of Nepal Using HbA1c as a Diagnostic Tool: A Population-Based Study
Chandra Yogal, Sunila Shakya, Biraj Karmarcharya, Rajendra Koju, Astrid Kamilla Stunes, Mats Peder Mosti, Miriam K. Gustafsson, Bjørn Olav Åsvold, Berit Schei, Unni Syversen
International Journal of Environmental Research and Public Health.2022; 19(12): 7011. CrossRef
Prediabetes diagnosis is associated with the progression of coronary artery calcification: The Kangbuk Samsung Health Study
In Young Choi, Yoosoo Chang, Yoosun Cho, Jeonggyu Kang, Hyun‐Suk Jung, Sarah H. Wild, Christopher D. Byrne, Seungho Ryu
Diabetes, Obesity and Metabolism.2022; 24(11): 2118. CrossRef
Investigating the Effects of Diet-Induced Pre-Diabetes on the Functioning of Calcium-Regulating Organs in Male Sprague Dawley Rats: Effects on Selected Markers
Karishma Naidoo, Phikelelani S. Ngubane, Andile Khathi
Frontiers in Endocrinology.2022;[Epub] CrossRef
Oncometabolic surgery in gastric cancer patients with type 2 diabetes
Yun Suk Choi, Jin Wook Yi, Woo Young Shin, Yoonseok Heo
Scientific Reports.2022;[Epub] CrossRef
Epidemiology of prediabetes mellitus among hill tribe adults in Thailand
Tawatchai Apidechkul, Chalitar Chomchiei, Panupong Upala, Ratipark Tamornpark, Xi Pan
PLOS ONE.2022; 17(7): e0271900. CrossRef
Ameliorative Effects of Annona muricata Leaf Ethanol Extract on Renal Morphology of Alloxan-Induced Mice
Supri Irianti Handayani, Mutiara Intan Permata Sari, Meilania Saraswati Sardjana, Kusmardi Kusmardi, Siti Nurbaya, Rosmalena Rosmalena, Ernawati Sinaga, Vivitri Dewi Prasasty
Applied Sciences.2022; 12(18): 9141. CrossRef
ADAM17 cleaves the insulin receptor ectodomain on endothelial cells and causes vascular insulin resistance
Thaysa Ghiarone, Jorge A. Castorena-Gonzalez, Christopher A. Foote, Francisco I. Ramirez-Perez, Larissa Ferreira-Santos, Francisco J. Cabral-Amador, Roger de la Torre, Rama R. Ganga, Andrew A. Wheeler, Camila Manrique-Acevedo, Jaume Padilla, Luis A. Marti
American Journal of Physiology-Heart and Circulatory Physiology.2022; 323(4): H688. CrossRef
A causal relationship between alcohol intake and type 2 diabetes mellitus: A two-sample Mendelian randomization study
Meiling Liu, Sunmin Park
Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(12): 2865. CrossRef
Diabetes stabilisation during COVID-19: A case history
Linda Nazarko
Independent Nurse.2021; 2021(1): 16. CrossRef
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
Diabetes & Metabolism Journal.2021; 45(1): 1. CrossRef
Does autonomic nervous system dysfunction influence cardiovascular disease risk in young adults with intellectual disability?
Clara C. Zwack, Rachael McDonald, Ainura Tursunalieva, Amali Cooray, Gavin W. Lambert, Elisabeth A. Lambert
American Journal of Physiology-Heart and Circulatory Physiology.2021; 320(2): H891. CrossRef
Prevalence of Prediabetes and Undiagnosed Diabetes Among Kuwaiti Adults: A Cross-Sectional Study
Anwar Mohammad, Ali H Ziyab, Talal Mohammad
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 2167. CrossRef
The prevalence of diabetes amongst young Emirati female adults in the United Arab Emirates: A cross-sectional study
Maysm N. Mohamad, Leila Cheikh Ismail, Lily Stojanovska, Vasso Apostolopoulos, Jack Feehan, Amjad H. Jarrar, Ayesha S. Al Dhaheri, Muhammad Sajid Hamid Akash
PLOS ONE.2021; 16(6): e0252884. CrossRef
The prevalence and correlates of pre-diabetes in middle- to older-aged Irish adults using three diagnostic methods
Kate Junker, Claire M. Buckley, Seán R. Millar, Sinéad Flynn, Janas M. Harrington, Patricia M. Kearney, Ivan J. Perry, Muhammad Sajid Hamid Akash
PLOS ONE.2021; 16(6): e0253537. CrossRef
Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
Kyungwon Oh, Yoonjung Kim, Sanghui Kweon, Soyeon Kim, Sungha Yun, Suyeon Park, Yeon-Kyeng Lee, Youngtaek Kim, Ok Park, Eun Kyeong Jeong
Epidemiology and Health.2021; 43: e2021025. CrossRef
The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study
Dongjin Seo, Yu Rang Park, Yura Lee, Ji Young Kim, Joong-Yeol Park, Jae-Ho Lee
Journal of Medical Internet Research.2020; 22(6): e15372. CrossRef
Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
Seon‐Ah Cha, Suk Chon, Jae‐Seung Yun, Sang Youl Rhee, Sun‐Young Lim, Kun‐Ho Yoon, Yu‐Bae Ahn, Seung‐Hyun Ko, Jeong‐Taek Woo, Jin‐Hee Lee
Diabetes/Metabolism Research and Reviews.2020;[Epub] CrossRef
The additive effect of type 2 diabetes on fibrinogen, von Willebrand factor, tryptophan and threonine in people living with HIV
Michelle L. Harrison, Anthony S. Wolfe, Jonathan Fordyce, Jamie Rock, Alexandra A. García, Julie A. Zuñiga
Amino Acids.2019; 51(5): 783. CrossRef
Prevalence of Diabetes Mellitus in Adult Residents of Rural Regions of Grash Town, Fars, Iran during 2015-201
H. Soori, M.N. Mohammadi, J. Yoosefi Lebni
Health Education and Health Promotion.2019; 7(2): 89. CrossRef
Understanding prediabetes: definition, prevalence, burden and treatment options for an emerging disease
Kristian Rett, Ulrike Gottwald-Hostalek
Current Medical Research and Opinion.2019; 35(9): 1529. CrossRef
Does reviewing fasting plasma glucose results patterns before glycosylated hemoglobin testing in type-2 diabetic patients lead to better testing decision?
Wichaporn Intharachuti, Jiruth Sriratanaban
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(3): 2080. CrossRef
Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults
Jieun Lee, Young Ah Lee, Jae Hyun Kim, Seong Yong Lee, Choong Ho Shin, Sei Won Yang
Diabetes & Metabolism Journal.2019; 43(2): 174. CrossRef
Colorectal Cancer Risks According to Sex Differences in Patients With Type II Diabetes Mellitus: A Korean Nationwide Population-Based Cohort Study
Ji Min Lee, Kang-Moon Lee, Dae Bum Kim, Seung-Hyun Ko, Yong Gyu Park
Clinical and Translational Gastroenterology.2019; 10(10): e00090. CrossRef
Isolated HbA1c identifies a different subgroup of individuals with type 2 diabetes compared to fasting or post-challenge glucose in Asian Indians: The CARRS and MASALA studies
U.P. Gujral, D. Prabhakaran, R. Pradeepa, N.R. Kandula, D. Kondal, M. Deepa, N.A. Zakai, R.M. Anjana, G. Rautela, V. Mohan, K.M.V. Narayan, N. Tandon, A.M. Kanaya
Diabetes Research and Clinical Practice.2019; 153: 93. CrossRef
Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
Diabetes & Metabolism Journal.2019; 43(4): 487. CrossRef
Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India
Ariadna Curto, Otavio Ranzani, Carles Milà, Margaux Sanchez, Julian D. Marshall, Bharati Kulkarni, Santhi Bhogadi, Sanjay Kinra, Gregory A. Wellenius, Cathryn Tonne
Environment International.2019; 131: 105033. CrossRef
Diabetes Prevalence Survey of Pakistan (DPS-PAK): prevalence of type 2 diabetes mellitus and prediabetes using HbA1c: a population-based survey from Pakistan
Azizul Hasan Aamir, Zia Ul-Haq, Saeed A Mahar, Faisal Masood Qureshi, Ibrar Ahmad, Ali Jawa, Aisha Sheikh, Abbas Raza, Sheraz Fazid, Zahid Jadoon, Osama Ishtiaq, Nauman Safdar, Hussain Afridi, Adrian H Heald
BMJ Open.2019; 9(2): e025300. CrossRef
Evaluation of the associations between immunoglobulin E levels and the number of natural teeth
Kyungdo Han, Eunjoo Lee, Jun-Beom Park
Journal of the Formosan Medical Association.2018; 117(7): 605. CrossRef
Clinical implications of age and sex in the prevalence of periodontitis in Korean adults with diabetes
Kyungdo Han, Jun‑Beom Park
Experimental and Therapeutic Medicine.2018;[Epub] CrossRef
Clinical implication of fasting glucose and systolic/diastolic blood pressure on the prevalence of periodontitis in non‑diabetic and non‑hypertensive adults using nationally representative data
Kyungdo Han, Jun‑Beom Park
Experimental and Therapeutic Medicine.2018;[Epub] CrossRef
Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
Diabetes & Metabolism Journal.2018; 42(2): 93. CrossRef
Glycated heamoglobin A1c as a tool for epidemiological studies to assess diabetes prevalence: How has it been used since its official recommendation for diabetes diagnosis?
D. Simon
Diabetes & Metabolism.2018; 44(3): 197. CrossRef
Type 2 Diabetes Mellitus and Cognitive Function in the Elderly
Nazila Malekian, Seyed Reza Hosseini, Sussan Moudi, Mohammad Ali Bayani, Farzan Kheirkhah, Ali Bijani, Aylar Khalilipour
Iranian Journal of Psychiatry and Behavioral Sciences.2018;[Epub] CrossRef
Evaluation of an association between long sleep duration and periodontal disease among men and women using nationally representative data
Kyungdo Han, Yong-Moon Park, Jun-Beom Park
Gaceta Sanitaria.2018; 32(2): 143. CrossRef
Significance of prediabetes as a nosological entity
Ladislav Stepanek, Dagmar Horakova, Marie Nakladalova, Lubica Cibickova, David Karasek, Josef Zadrazil
Biomedical Papers.2018; 162(4): 249. CrossRef
Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
Diabetes & Metabolism Journal.2018; 42(5): 415. CrossRef
Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study
Kyoung Hwa Ha, Yong-ho Lee, Sun Ok Song, Jae-woo Lee, Dong Wook Kim, Kyung-hee Cho, Dae Jung Kim
Diabetes & Metabolism Journal.2018; 42(5): 402. CrossRef
Evaluation of the association between sleep duration and tooth loss among Korean adults: data from the Korean National Health and Nutrition Examination Survey (KNHANES 2012–2014)
Kyungdo Han, Jun-Beom Park
BMJ Open.2018; 8(5): e018383. CrossRef
Impact of glycated hemoglobin (HbA1c) on identifying insulin resistance among apparently healthy individuals
Sarama Saha, Peter E. H. Schwarz
Journal of Public Health.2017; 25(5): 505. CrossRef
Trends in the pervasiveness of type 2 diabetes, impaired fasting glucose and co-morbidities during an 8-year-follow-up of nationwide Korean population
Junghyun Noh, Kyung-Do Han, Seung-Hyun Ko, Kyung Soo Ko, Cheol-Young Park
Scientific Reports.2017;[Epub] CrossRef
Efficacy and safety of sitagliptin/metformin fixed‐dose combination compared with glimepiride in patients with type 2 diabetes: A multicenter randomized double‐blind study
Sang Soo Kim, In Joo Kim, Kwang Jae Lee, Jeong Hyun Park, Young Il Kim, Young Sil Lee, Sung Chang Chung, Sang Jin Lee
Journal of Diabetes.2017; 9(4): 412. CrossRef
Periodontitis is associated with diabetic retinopathy in non-obese adults
Su Jeong Song, Seong-su Lee, Kyungdo Han, Jun-Beom Park
Endocrine.2017; 56(1): 82. CrossRef
Association between oral health behavior and periodontal disease among Korean adults
Kyungdo Han, Jun-Beom Park
Medicine.2017; 96(7): e6176. CrossRef
Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey
Hee Yeon Kim, Tae Seo Sohn, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Seong Cheol Jeong, Mihee Hong, Hiun Suk Chae
The Korean Journal of Internal Medicine.2017; 32(4): 682. CrossRef
Impaired Fasting Glucose Rate by Diabetes Family History
Eun-Hei Kim, Sang-Geun Bae, Keon-Yeop Kim, Yoon-ju Na
Journal of Health Informatics and Statistics.2017; 42(1): 63. CrossRef
Age threshold for moderate and severe periodontitis among Korean adults without diabetes mellitus, hypertension, metabolic syndrome, and/or obesity
Kyungdo Han, Jun-Beom Park
Medicine.2017; 96(33): e7835. CrossRef
Socioeconomic status is associated with global diabetes prevalence
Zhiye Xu, Dan Yu, Xueyao Yin, Fenping Zheng, Hong Li
Oncotarget.2017; 8(27): 44434. CrossRef
The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef
Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
Diabetes & Metabolism Journal.2017; 41(5): 377. CrossRef
Association between underweight and tooth loss among Korean adults
In-Seok Song, Kyungdo Han, Jae-Jun Ryu, Jun-Beom Park
Scientific Reports.2017;[Epub] CrossRef
Outcomes and inequalities in diabetes from 2004/2005 to 2011/2012: English longitudinal study
Robert Fleetcroft, Miqdad Asaria, Shehzad Ali, Richard Cookson
British Journal of General Practice.2017; 67(654): e1. CrossRef
Discordance in the diagnosis of diabetes: Comparison between HbA1c and fasting plasma glucose
Lan T. Ho-Pham, Uyen D. T. Nguyen, Truong X. Tran, Tuan V. Nguyen, Petter Bjornstad
PLOS ONE.2017; 12(8): e0182192. CrossRef
Declining Incidence of Ischemic Stroke
Anne M. Vangen-Lønne, Tom Wilsgaard, Stein Harald Johnsen, Maja-Lisa Løchen, Inger Njølstad, Ellisiv B. Mathiesen
Stroke.2017; 48(3): 544. CrossRef
Association between temporomandibular disorders and obesity
Eunmi Rhim, Kyungdo Han, Kyoung-In Yun
Journal of Cranio-Maxillofacial Surgery.2016; 44(8): 1003. CrossRef
Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
Medicine.2016; 95(27): e4018. CrossRef
Prevalence and risk factors of periodontitis among adults with or without diabetes mellitus
Mihee Hong, Hee Yeon Kim, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Hyo-Suk Ahn, Yoon Ho Ko, Seong Cheol Jeong, Hiun Suk Chae, Tae Seo Sohn
The Korean Journal of Internal Medicine.2016; 31(5): 910. CrossRef
The Relationship between Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease Measured by Controlled Attenuation Parameter
Young Eun Chon, Kwang Joon Kim, Kyu Sik Jung, Seung Up Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Chae Yoon Chon, Jae Bock Chung, Kyeong Hye Park, Ji Cheol Bae, Kwang-Hyub Han
Yonsei Medical Journal.2016; 57(4): 885. CrossRef
Comparative Study on Self-care Behavior Related Factors for Good, Inadequate and Poor Glycemic Control Groups: Based on Variables from Theory of Planned Behavior, Habit, and Family support*
Jae-Kyoung Kim, Mee Ock Gu
Journal of Korean Academy of Fundamentals of Nursing.2016; 23(3): 245. CrossRef
Associations between the number of natural teeth and renal dysfunction
Hye Min Choi, Kyungdo Han, Yong Gyu Park, Jun-Beom Park
Medicine.2016; 95(34): e4681. CrossRef
Associations between the number of natural teeth in postmenopausal women and duration of lactation: The 2010–2012 Korea National Health and Nutrition Examination Survey
Kyungdo Han, Youngkyung Ko, Yong-Gyu Park, Jun-Beom Park
Maturitas.2016; 85: 73. CrossRef
Trends in Diabetes Incidence in the Last Decade Based on Korean National Health Insurance Claims Data
Sun Ok Song, Yong-ho Lee, Dong Wook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung-Wan Lee
Endocrinology and Metabolism.2016; 31(2): 292. CrossRef
Comparison of Age of Onset and Frequency of Diabetic Complications in the Very Elderly Patients with Type 2 Diabetes
Bong-Ki Lee, Sang-Wook Kim, Daehee Choi, Eun-Hee Cho
Endocrinology and Metabolism.2016; 31(3): 416. CrossRef
Emerging Role of Nitric Oxide and Heat Shock Proteins in Insulin Resistance
Marisa Nile Molina, León Ferder, Walter Manucha
Current Hypertension Reports.2016;[Epub] CrossRef
Association between Consumption of Coffee and the Prevalence of Periodontitis: The 2008–2010 Korea National Health and Nutrition Examination Survey
Kyungdo Han, Eunkyung Hwang, Jun-Beom Park, Alberto G Passi
PLOS ONE.2016; 11(7): e0158845. CrossRef
Cause-of-death statistics in the Republic of Korea, 2014
Hyun-Young Shin, Ji-Youn Lee, Juhwa Song, Seokmin Lee, Junghun Lee, Byeongsun Lim, Heyran Kim, Sun Huh
Journal of the Korean Medical Association.2016; 59(3): 221. CrossRef
Effect of Wheat Flour Noodles with Bombyx mori Powder on Glycemic Response in Healthy Subjects
Wanhee Suk, JiEun Kim, Do-Yeon Kim, Hyunjung Lim, Ryowon Choue
Preventive Nutrition and Food Science.2016; 21(3): 165. CrossRef
C-Peptide-Based Index Is More Related to Incident Type 2 Diabetes in Non-Diabetic Subjects than Insulin-Based Index
Jong-Dai Kim, Sung Ju Kang, Min Kyung Lee, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee
Endocrinology and Metabolism.2016; 31(2): 320. CrossRef
Inhibition of advanced glycation end product formation by burdock root extract
Darye Lee, Choon Young Kim
Journal of Nutrition and Health.2016; 49(4): 233. CrossRef
Associations between the number of natural teeth in postmenopausal women and hormone replacement therapy
Kyungdo Han, Youngkyung Ko, Yong-Gyu Park, Jun-Beom Park
Maturitas.2016; 94: 125. CrossRef
Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?
Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song
Diabetes & Metabolism Journal.2016; 40(2): 118. CrossRef
Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
Bo Kyung Koo, Min Kyong Moon
Diabetes & Metabolism Journal.2016; 40(3): 175. CrossRef
Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
Diabetes Research and Clinical Practice.2016; 113: 23. CrossRef
Excessive Consumption of Green Tea as a Risk Factor for Periodontal Disease among Korean Adults
Kyungdo Han, Eunkyung Hwang, Jun-Beom Park
Nutrients.2016; 8(7): 408. CrossRef
Laboratorydiagnosis of prediabetes
Grażyna Odrowąż-Sypniewska
Diagnostyka Laboratoryjna.2016; 52(1): 57. CrossRef
TRPV1 Gene Polymorphisms Are Associated with Type 2 Diabetes by Their Interaction with Fat Consumption in the Korean Genome Epidemiology Study
Sunmin Park, Xin Zhang, Na Ra Lee, Hyun-Seok Jin
Lifestyle Genomics.2016; 9(1): 47. CrossRef
Need for Diabetes Prevention Study
Ja Young Jeon, Dae Jung Kim
The Journal of Korean Diabetes.2015; 16(3): 161. CrossRef
New risk factors for obesity and diabetes: Environmental chemicals
Ja Young Jeon, Kyoung Hwa Ha, Dae Jung Kim
Journal of Diabetes Investigation.2015; 6(2): 109. CrossRef
Hospital Nurses' Pre-diabetes Knowledge, Performance and Expectation of Patient Education
Min Jung Kim, Misoon Song
Perspectives in Nursing Science.2015; 12(1): 33. CrossRef
Secular Changes in Prediabetes Indicators Among Older-Adult Americans, 1999−2010
Carl J. Caspersen, G. Darlene Thomas, Gloria L.A. Beckles, Kai McKeever Bullard
American Journal of Preventive Medicine.2015; 48(3): 253. CrossRef
Low transferrin saturation is associated with impaired fasting glucose and insulin resistance in the South Korean adults: the 2010 Korean National Health and Nutrition Examination Survey
R. J. Park, J. D. Moon
Diabetic Medicine.2015; 32(5): 673. CrossRef
Role of habitual physical activity in modulating vascular actions of insulin
Jaume Padilla, T. Dylan Olver, John P. Thyfault, Paul J. Fadel
Experimental Physiology.2015; 100(7): 759. CrossRef
Derivation and validation of an HbA1c optimal cutoff for diagnosing prediabetes in a South African mixed ancestry population
Annalise E. Zemlin, Tandi E. Matsha, Andre P. Kengne, Rajiv T. Erasmus
Clinica Chimica Acta.2015; 448: 215. CrossRef
Change in Corneal Biomechanical Parameters in Diabetes Mellitus
Yeon Ggoch Park, Jin Young Rhew, Kyu Ryong Choi
Journal of the Korean Ophthalmological Society.2015; 56(4): 567. CrossRef
New Directions in Chronic Disease Management
Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
Endocrinology and Metabolism.2015; 30(2): 159. CrossRef
Insulin Initiation in Insulin-Naïve Korean Type 2 Diabetic Patients Inadequately Controlled on Oral Antidiabetic Drugs in Real-World Practice: The Modality of Insulin Treatment Evaluation Study
Sang Soo Kim, In Joo Kim, Yong Ki Kim, Kun Ho Yoon, Ho Young Son, Sung Woo Park, Yeon Ah Sung, Hong Sun Baek
Diabetes & Metabolism Journal.2015; 39(6): 481. CrossRef
New insights into insulin action and resistance in the vasculature
Camila Manrique, Guido Lastra, James R. Sowers
Annals of the New York Academy of Sciences.2014; 1311(1): 138. CrossRef
Current Status of Glycemic Control of Patients with Diabetes in Korea: The Fifth Korea National Health and Nutrition Examination Survey
Ja Young Jeon, Dae Jung Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Soo Lim, Sung Hee Choi, Chul Sik Kim, Jee Hyun An, Nan Hee Kim, Jong Chul Won, Jae Hyeon Kim, Bong-Yun Cha, Kee-Ho Song
Diabetes & Metabolism Journal.2014; 38(3): 197. CrossRef
It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
Sang Yong Kim
Diabetes & Metabolism Journal.2014; 38(3): 194. CrossRef
Diabetes Update 2014 – das spannendste Diabetes-Update aller Zeiten
W.A. Scherbaum
Der Diabetologe.2014; 10(5): 363. CrossRef
Higher Prevalence and Awareness, but Lower Control Rate of Hypertension in Patients with Diabetes than General Population: The Fifth Korean National Health and Nutrition Examination Survey in 2011
Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Nan Hee Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Yong-Moon Park, Bong-Yun Cha
Diabetes & Metabolism Journal.2014; 38(1): 51. CrossRef
Association Between Alcohol Consumption and Periodontal Disease: The 2008 to 2010 Korea National Health and Nutrition Examination Survey
Jun‐Beom Park, Kyungdo Han, Yong‐Gyu Park, Youngkyung Ko
Journal of Periodontology.2014; 85(11): 1521. CrossRef
Glycaemic and haemoglobin A1c thresholds for detecting diabetic retinopathy: The fifth Korea National Health and Nutrition Examination Survey (2011)
Yong-Moon Park, Seung-Hyun Ko, Jung-Min Lee, Dae-Jung Kim, Dong-Joon Kim, Kyungdo Han, Julie K. Bower, Yu-Bae Ahn
Diabetes Research and Clinical Practice.2014; 104(3): 435. CrossRef
Diabetic Kidney Disease: From Epidemiology to Clinical Perspectives
Cheol Whee Park
Diabetes & Metabolism Journal.2014; 38(4): 252. CrossRef
Insulin Resistance and Skeletal Muscle Vasculature: Significance, Assessment and Therapeutic Modulators
Camila Manrique, James R. Sowers
Cardiorenal Medicine.2014; 4(3-4): 244. CrossRef
Metformin Based Dual-Combination Therapies in Drug Naïve Type 2 Diabetic Patients
Dong-Lim Kim
Diabetes & Metabolism Journal.2013; 37(6): 429. CrossRef

Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea: Hong-Kyu Kim, Sung-Jin Bae, Jaeone Choe; Diabetes Metab J. 2012;36(2):151-156. Published online April 17, 2012; DOI: https://doi.org/10.4093/dmj.2012.36.2.151

8,367 View
40 Download
18 Crossref

Abstract PDF PubReader ePub

Background

We performed the study to examine the impact of hemoglobin A1c (HbA1c) criterion on the screening of increased risk for diabetes among health check-up subjects in Korea.

Methods

We retrospectively analyzed clinical and laboratory data of 37,754 Korean adults (age, 20 to 89 years; 41% women) which were measured during regular health check-ups. After excluding subjects with previously diagnosed diabetes mellitus (n=1,812) and with overt anemia (n=318), 35,624 subjects (21,201 men and 14,423 women) were included in the analysis.

Results

Among the 35,624 subjects, 11,316 (31.8%) subjects were categorized as increased risk for diabetes (IRD) by fasting plasma glucose (FPG) criteria, 6,531 (18.1%) subjects by HbA1c criteria, and 13,556 (38.1%) subjects by combined criteria. Therefore, although HbA1c criteria alone identifies 42% [(11,316-6,531)/11,316] fewer subjects with IRD than does FPG criteria, about 20% [(13,556-11,316)/11,316] more subjects could be detected by including new HbA1c criteria in addition to FPG criteria. Among the 13,556 subjects with IRD, 7,025 (51.8%) met FPG criteria only, 2,240 (16.5%) met HbA1c criteria only, and 4,291 (31.7%) met both criteria. Among subjects with impaired fasting glucose, 65% were normal, 32% were IRD, and 3% were diabetes by HbA1c criterion. In receiver operating characteristic curve analysis, cutoff point of HbA1c with optimal sensitivity and specificity for identifying IRD was 5.4%.

Conclusion

Although HbA1c criteria alone identifies fewer subjects with IRD than does FPG criteria, about 20% more could be detected by addition of HbA1c criteria. Further studies are needed to define optimal cutoff point of HbA1c and to establish screening and management guidelines for IRD.

Citations

Citations to this article as recorded by

Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008–2020)
Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
Journal of Korean Medical Science.2024;[Epub] CrossRef
The Relationship Between HbA1c and 25-hidroxy Vitamin D Levels in Adult Diabetic Patients
Mehmet ÖZDİN, Durhasan MUNDAN
Van Sağlık Bilimleri Dergisi.2023; 16(1): 25. CrossRef
Association between Prediabetes and Meal Patterns Related to Meal Sharing among Korean Young Adults: Eighth Korean National Health and Nutrition Examination Survey, 2019–2020
Saebom Kim, Sehee Kim, Youngmin Kim, Seonmi Seo, Yu Jin Chung, Sam Cheol Kim
Korean Journal of Family Practice.2023; 13(3): 179. CrossRef
Does reviewing fasting plasma glucose results patterns before glycosylated hemoglobin testing in type-2 diabetic patients lead to better testing decision?
Wichaporn Intharachuti, Jiruth Sriratanaban
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(3): 2080. CrossRef
Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia
Bernd Richter, Bianca Hemmingsen, Maria-Inti Metzendorf, Yemisi Takwoingi
Cochrane Database of Systematic Reviews.2018;[Epub] CrossRef
Evaluation of different ranges of LH:FSH ratios in polycystic ovarian syndrome (PCOS) – Clinical based case control study
N.A. Malini, K. Roy George
General and Comparative Endocrinology.2018; 260: 51. CrossRef
The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef
Risk of progression to diabetes from prediabetes defined by HbA1c or fasting plasma glucose criteria in Koreans
Chul-Hee Kim, Hong-Kyu Kim, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Joong-Yeol Park
Diabetes Research and Clinical Practice.2016; 118: 105. CrossRef
Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
Diabetes Research and Clinical Practice.2016; 113: 23. CrossRef
Association of prediabetes, defined by fasting glucose, HbA1c only, or combined criteria, with the risk of cardiovascular disease in Koreans
Hong‐Kyu Kim, Jung Bok Lee, Seon Ha Kim, Min‐Woo Jo, Eun Hee Kim, Jenie Yoonoo Hwang, Sung Jin Bae, Chang Hee Jung, Woo Je Lee, Joong‐Yeol Park, Gyung‐Min Park, Young‐Hak Kim, Jaewon Choe
Journal of Diabetes.2016; 8(5): 657. CrossRef
Fasting plasma glucose concentrations for specified HbA1c goals in Korean populations: data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2, 2011)
Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
Diabetology & Metabolic Syndrome.2016;[Epub] CrossRef
Impact of hemoglobin A1c‐based criterion on diagnosis of prediabetes: The Korea National Health and Nutrition Examination Survey 2011
Chul‐Hee Kim, Hong‐Kyu Kim, Bo‐Yeon Kim, Chan‐Hee Jung, Ji‐Oh Mok, Sung‐Koo Kang
Journal of Diabetes Investigation.2015; 6(1): 51. CrossRef
Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
The Lancet Diabetes & Endocrinology.2015; 3(8): 624. CrossRef
Prediabetes is not independently associated with microalbuminuria in Korean general population: The Korea National Health and Nutrition Examination Survey 2011–2012 (KNHANES V-2,3)
Chul-Hee Kim, Kyu-Jin Kim, Bo-Yeon Kim, Chan-Hee Jung, Ji-Oh Mok, Sung-Koo Kang, Hong-Kyu Kim
Diabetes Research and Clinical Practice.2014; 106(2): e18. CrossRef
Estimation of blood glucose by non-invasive infrared thermography for diagnosis of type 2 diabetes: An alternative for blood sample extraction
S. Sivanandam, M. Anburajan, B. Venkatraman, M. Menaka, D. Sharath
Molecular and Cellular Endocrinology.2013; 367(1-2): 57. CrossRef
Comparison of glycated hemoglobin with fasting plasma glucose in definition of glycemic component of the metabolic syndrome in an Iranian population
Mohsen Janghorbani, Masoud Amini
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2012; 6(3): 136. CrossRef
Usefulness of Glycated Hemoglobin as Diagnostic Criteria for Metabolic Syndrome
Sang Hyun Park, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
Journal of Korean Medical Science.2012; 27(9): 1057. CrossRef
Letter: Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea (Diabetes Metab J 2012;36:151-6)
Sung Hee Choi
Diabetes & Metabolism Journal.2012; 36(3): 251. CrossRef

Review

The Epidemiology of Diabetes in Korea: Dae Jung Kim; Diabetes Metab J. 2011;35(4):303-308. Published online August 31, 2011; DOI: https://doi.org/10.4093/dmj.2011.35.4.303

14,978 View
84 Download
180 Crossref

Abstract PDF PubReader ePub

Diabetes is an increasing global health problem worldwide. Diabetes and its complications have become a major cause of morbidity and mortality in Korea. The prevalence of diabetes in Korea has increased six- to seven-fold from 1.5% to 9.9% in the past 40 years. The prevalence of impaired fasting glucose also increased to about 20% in 2009. The International Diabetes Federation has estimated that the prevalence of diabetes will rise to 11.4% in 2030. Possible risk factors for diabetes in Korea are age, male gender, obesity, prediabetes, gestational diabetes, smoking, decreased physical activity, and short sleep duration. With increasing obesity, especially in childhood, and improved longevity, the prevalence of diabetes is expected to dramatically increase more than previously estimated. Therefore, public efforts to introduce healthy lifestyle changes and diabetic prevention programs are necessary to reduce the global epidemic of diabetes.

Citations

Citations to this article as recorded by

Association between the weight-adjusted waist index and type 2 diabetes mellitus in Korean adults: A national cross-sectional study
Sungmun Ryu, Ji-Young Choi, Young-Mo Yang
Medicine.2026; 105(20): e48785. CrossRef
Evolving Characteristics of Type 2 Diabetes Mellitus in East Asia
Joonyub Lee, Kun-Ho Yoon
Endocrinology and Metabolism.2025; 40(1): 57. CrossRef
Effect of elderly patients with diabetes mellitus on the prognosis of idiopathic sudden sensorineural hearing loss
Sung Min Koh, Subi Oh, Bokhyun Song, Yang-Sun Cho, Young Sang Cho
Auris Nasus Larynx.2025; 52(4): 302. CrossRef
Literature Review on the Effects of Functional Food Ingredients for Blood Glucose and Body Fat Reduction on Glycemic Control in Insulin Resistance and Diabetes
Nohyeon Kim, Minhee Lee, Yoo Kyung Park, Jeongmin Lee
Journal of the Korean Society of Food Science and Nutrition.2025; 54(10): 805. CrossRef
Bridging Evidence and Practice: A Consensus Statement from the Korean Diabetes Association on Diabetes Screening, Pharmacological Treatment and Severe Diabetes
Jong Han Choi, Shinae Kang, Soo-Kyung Kim, Won Jun Kim, Ji Min Kim, Jaehyun Bae, Jae-Seung Yun, Eonju Jeon, Young-Eun Kim, Jae Hyun Bae, Hun Jee Choe, Young Min Cho, Seung-Hyun Ko, Sang Yong Kim, Hae Jin Kim, You-Cheol Hwang, Min Kyong Moon, Suk Chon, Seo
Diabetes & Metabolism Journal.2025; 49(6): 1155. CrossRef
Etiological distribution of isolated oculomotor nerve palsy: analysis of 633 patients and literature review
Hyun‐Jae Kim, Hyo‐Jung Kim, Jeong‐Yoon Choi, Hee Kyung Yang, Jeong‐Min Hwang, Ji‐Soo Kim
European Journal of Neurology.2024;[Epub] CrossRef
Life Expectancy of Patients Undergoing Total Knee Arthroplasty: Comparison With General Population
Sanghyo Kim, Samuel Jaeyoon Won, Na-Kyoung Lee, Chong Bum Chang
Journal of Korean Medical Science.2024;[Epub] CrossRef
The association of dietary total flavonoids and their subclasses with the risk of type 2 diabetes: a prospective cohort study
Hye Won Woo, Mi Kyung Kim, Kong Ji-Sook, Jiseon Lee, Min-Ho Shin, Sang Baek Koh, Hyeon Chang Kim, Yu-Mi Kim
European Journal of Nutrition.2024; 63(4): 1339. CrossRef
The value of lipid accumulation products in predicting type 2 diabetes mellitus: a cross-sectional study on elderlies over 65 in Shanghai
Tuming Li, Shuo Yan, Dongmei Sun, Ying Wu, Huazheng Liang, Qinghu Zheng, Ping Zhong
Journal of Diabetes & Metabolic Disorders.2024; 23(1): 1223. CrossRef
Efficacy of Daily Walking as a Potential Predictor of Improved Health-Related Quality of Life in Patients with Type 2 Diabetes in Korea
Wonil Park, Dongjun Lee
Healthcare.2024; 12(16): 1644. CrossRef
Association between Serum Ferritin Levels and Diabetes Mellitus in a Korean Population
Jun Ho LEE
Korean Journal of Clinical Laboratory Science.2024; 56(4): 321. CrossRef
Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
Diabetes & Metabolism Journal.2023; 47(1): 82. CrossRef
Etiologic distribution of isolated abducens nerve palsy: Analysis of 807 patients and literature review
Hyun‐Jae Kim, Hyo‐Jung Kim, Jeong‐Yoon Choi, Hee Kyung Yang, Jeong‐Min Hwang, Ji‐Soo Kim
European Journal of Neurology.2023; 30(8): 2471. CrossRef
Gene–diet interaction analysis using novel weighted food scores discovers the adipocytokine signaling pathway associated with the development of type 2 diabetes
Catherine Apio, Wonil Chung, Min Kyong Moon, Oran Kwon, Taesung Park
Frontiers in Endocrinology.2023;[Epub] CrossRef
Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
International Journal of Environmental Research and Public Health.2022; 19(6): 3280. CrossRef
Fasting Blood Glucose Variability and Unfavorable Trajectory Patterns Are Associated with the Risk of Colorectal Cancer
Hyoju Jun, Jieun Lee, Hye Ah Lee, Seong-Eun Kim, Ki-Nam Shim, Hye-Kyung Jung, Sung-Ae Jung, Chang Mo Moon
Gut and Liver.2022; 16(3): 423. CrossRef
Association of antibiotics exposure within the first 2 years after birth with subsequent childhood type 1 diabetes
Dahye Lee, Seulggie Choi, Jooyoung Chang, Young Jun Park, Jae Hyun Kim, Sang Min Park
Endocrine.2022; 77(1): 21. CrossRef
Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
Diagnostics.2022; 12(8): 1967. CrossRef
Etiologic distribution of isolated trochlear palsy: Analysis of 1020 patients and literature review
Hyun‐Jae Kim, Hyo‐Jung Kim, Jeong‐Yoon Choi, Hee Kyung Yang, Jeong‐Min Hwang, Ji‐Soo Kim
European Journal of Neurology.2022; 29(12): 3658. CrossRef
Long Working Hours and the Risk of Glucose Intolerance: A Cohort Study
Yesung Lee, Eunhye Seo, Woncheol Lee
International Journal of Environmental Research and Public Health.2022; 19(18): 11831. CrossRef
Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
Frontiers in Public Health.2022;[Epub] CrossRef
Chemical Composition, Antioxidant, Anti-Diabetic, Anti-Acetylcholinesterase, Anti-Inflammatory, and Antimicrobial Properties of Arbutus unedo L. and Laurus nobilis L. Essential Oils
Samiah Hamad Al-Mijalli, Hanae Naceiri Mrabti, Hayat Ouassou, Rachid Flouchi, Emad M. Abdallah, Ryan A. Sheikh, Mohammed Merae Alshahrani, Ahmed Abdullah Al Awadh, Hicham Harhar, Nasreddine El Omari, Ahmed Qasem, Hamza Assaggaf, Naif Hesham Moursi, Abdelh
Life.2022; 12(11): 1876. CrossRef
Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
Diabetes & Metabolism Journal.2021; 45(1): 1. CrossRef
The incidence and presumed aetiologies of fourth cranial nerve palsy in Korea: a 10-year nationwide cohort study
Eun Hye Jung, Seong-Joon Kim, Joo Yeon Lee, Bum-Joo Cho
Eye.2021; 35(11): 3012. CrossRef
Prevalence and socioeconomic burden of diabetes mellitus in South Korean adults: a population-based study using administrative data
Sung-Hee Oh, Hyemin Ku, Kang Seo Park
BMC Public Health.2021;[Epub] CrossRef
Relationship Between Handgrip Strength and the Prevalence of Diabetes Mellitus Among Korean Adults: Korean National Health and Nutrition Examination Survey, 2014-2018
Sung-hyun Hong, Ji-yong Byeon, Ji-hee Min, Dong-hyuk Park, Won-hee Cho, Justin Y. Jeon
Exercise Science.2021; 30(1): 110. CrossRef
Association of c-reactive protein and lipid accumulation product with fasting insulin levels in obese first degree relatives of type-2 diabetics
Sonia Chawla, Gitanjali ., Seema Bhatti, Sarita ., Navneet Kaur, Jaswant Kaur
International Journal of Clinical Biochemistry and Research.2021; 7(4): 466. CrossRef
The Incidence and Etiologies of Third Cranial Nerve Palsy in Koreans: A 10-year Nationwide Cohort Study
Eun Hye Jung, Seong-Joon Kim, Joo Yeon Lee, Bum-Joo Cho
Ophthalmic Epidemiology.2020; 27(6): 460. CrossRef
Inhibitory effects of compounds from the roots of Potentilla longifolia on lipid accumulation
Shengxi Lin, Xiaoyan Zhao, Yunpeng Sun, Huan Liu, Mingyang Shang, Jinyan Gong, Qianqian Ma, Guangchun Piao, Haidan Yuan, Leonidas Matsakas
PLOS ONE.2020; 15(9): e0238917. CrossRef
Mortality and Cause of Death in Patients With Vertebral Fractures
Hyo Geun Choi, Joon Kyu Lee, Songyong Sim, Miyoung Kim
Spine.2020; 45(5): E280. CrossRef
Changes in the Quality of Life in Patients with Type 2 Diabetes Mellitus According to Physician and Patient Behaviors
Young-Joo Kim, In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong-Hwa Kim, Chul-Sik Kim, Won-Young Lee, Kyu-Chang Won, Jin-Hye Cha, Juneyoung Lee, Doo-Man Kim
Diabetes & Metabolism Journal.2020; 44(1): 91. CrossRef
Polygenetic-Risk Scores Related to Crystallin Metabolism Are Associated with Age-Related Cataract Formation and Interact with Hyperglycemia, Hypertension, Western-Style Diet, and Na Intake
Donghyun Jee, Suna Kang, ShaoKai Huang, Sunmin Park
Nutrients.2020; 12(11): 3534. CrossRef
Executive Summary of Stroke Statistics in Korea 2018: A Report from the Epidemiology Research Council of the Korean Stroke Society
Jun Yup Kim, Kyusik Kang, Jihoon Kang, Jaseong Koo, Dae-Hyun Kim, Beom Joon Kim, Wook-Joo Kim, Eung-Gyu Kim, Jae Guk Kim, Jeong-Min Kim, Joon-Tae Kim, Chulho Kim, Hyun-Wook Nah, Kwang-Yeol Park, Moo-Seok Park, Jong-Moo Park, Jong-Ho Park, Tai Hwan Park, H
Journal of Stroke.2019; 21(1): 42. CrossRef
Self-rated health and the risk of incident type 2 diabetes mellitus: A cohort study
Jin-Won Noh, Yoosoo Chang, Minsun Park, Young Dae Kwon, Seungho Ryu
Scientific Reports.2019;[Epub] CrossRef
Analysis for the Factors the Severity of the Inflammatory Hand Lesions in Diabetes Mellitus Patients
In Sook Jang, Hyun Dae Shin, Myong Hwa Park, Soo Min Cha
Archives of Hand and Microsurgery.2019; 24(1): 1. CrossRef
Association of C-Reactive Protein with Risk of Developing Type 2 Diabetes Mellitus, and Role of Obesity and Hypertension: A Large Population-Based Korean Cohort Study
Suganya Kanmani, Minji Kwon, Moon-Kyung Shin, Mi Kyung Kim
Scientific Reports.2019;[Epub] CrossRef
Mortality and cause of death in South Korean patients with Parkinson’s disease: a longitudinal follow-up study using a national sample cohort
Hyo Geun Choi, Jae-Sung Lim, Young Kyung Lee, Songyong Sim, Miyoung Kim
BMJ Open.2019; 9(9): e029776. CrossRef
Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
Diabetes & Metabolism Journal.2019; 43(1): 49. CrossRef
Can diabetes patients seeking a second hospital get better care? Results from nested case–control study
Jae-Hyun Kim, Eun-Cheol Park, David Alejandro González-Chica
PLOS ONE.2019; 14(1): e0210809. CrossRef
Comparison of outcomes after carotid endarterectomy between type 2 diabetic and non-diabetic patients with significant carotid stenosis
Min-Jae Jeong, Hyunwook Kwon, Chang Hee Jung, Sun U. Kwon, Min-Ju Kim, Youngjin Han, Tae-Won Kwon, Yong-Pil Cho
Cardiovascular Diabetology.2019;[Epub] CrossRef
The risk of herpes zoster virus infection in patients with depression
Hyo Geun Choi, Eui-Joong Kim, Young Kyung Lee, Miyoung Kim
Medicine.2019; 98(40): e17430. CrossRef
The incidence and etiology of sixth cranial nerve palsy in Koreans: A 10-year nationwide cohort study
Eun Hye Jung, Seong-Joon Kim, Joo Yeon Lee, Bum-Joo Cho
Scientific Reports.2019;[Epub] CrossRef
Frailty and Disability in Diabetes
Sol-Ji Yoon, Kwang-il Kim
Annals of Geriatric Medicine and Research.2019; 23(4): 165. CrossRef
Healthcare Utilization and Treatment Patterns in Diabetic Macular Edema in Korea: a Retrospective Chart Review
Kyu Hyung Park, Yun Young Kim, Young Joon Jo, Jaeryung Oh, Joo Eun Lee, Ji Eun Lee, Dong Ho Park, Se Woong Kang, Won Ki Lee, Ha Kyoung Kim, Michael Adena, Jonathan Tan, Si Dong Kim
Journal of Korean Medical Science.2019;[Epub] CrossRef
The product of fasting plasma glucose and triglycerides improves risk prediction of type 2 diabetes in middle-aged Koreans
Joung-Won Lee, Nam-Kyoo Lim, Hyun-Young Park
BMC Endocrine Disorders.2018;[Epub] CrossRef
Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
Diabetes & Metabolism Journal.2018; 42(6): 475. CrossRef
Effect of medication adherence on long-term all-cause-mortality and hospitalization for cardiovascular disease in 65,067 newly diagnosed type 2 diabetes patients
Yeon-Yong Kim, Jin-Seok Lee, Hee-Jin Kang, Sang Min Park
Scientific Reports.2018;[Epub] CrossRef
Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
Morena Ustulin, Sang Youl Rhee, Suk Chon, Kyu Keung Ahn, Ji Eun Lim, Bermseok Oh, Sung-Hoon Kim, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Young Seol Kim, Jeong-Taek Woo
Scientific Reports.2018;[Epub] CrossRef
Clinical Importance of Diabetic Neuropathy
Tae Sun Park
The Journal of Korean Diabetes.2018; 19(3): 147. CrossRef
Glycated Hemoglobin and Cancer Risk in Korean Adults: Results from Korean Genome and Epidemiology Study
Ji Young Kim, Youn Sue Lee, Garam Jo, Min-Jeong Shin
Clinical Nutrition Research.2018; 7(3): 170. CrossRef
Trends in diabetes prevalence among Korean adults based on Korean National Health and Nutrition Examination Surveys III–VI
Jae-woo Lee, Hee-Taik Kang, Hyoung-Ji Lim, Byoungjin Park
Diabetes Research and Clinical Practice.2018; 138: 57. CrossRef
Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
Diabetes & Metabolism Journal.2018; 42(5): 415. CrossRef
The effect of continuity of care on the incidence of end-stage renal disease in patients with newly detected type 2 diabetic nephropathy: a retrospective cohort study
Yun Jung Jang, Yoon Soo Choy, Chung Mo Nam, Ki Tae Moon, Eun-Cheol Park
BMC Nephrology.2018;[Epub] CrossRef
Implementation of the Chronic Disease Care System and its association with health care costs and continuity of care in Korean adults with type 2 diabetes mellitus
Woorim Kim, Yoon Soo Choy, Sang Ah Lee, Eun-Cheol Park
BMC Health Services Research.2018;[Epub] CrossRef
Cardiovascular Diseases and Life Expectancy in Adults With Type 2 Diabetes: A Korean National Sample Cohort Study
Yu Mi Kang, Yun Kyung Cho, Seung Eun Lee, Joong-Yeol Park, Woo Je Lee, Ye-Jee Kim, Chang Hee Jung
The Journal of Clinical Endocrinology & Metabolism.2017; 102(9): 3443. CrossRef
Prevalence and Impact of Diabetes Mellitus Among Patients with Active Pulmonary Tuberculosis in South Korea
Eun Hye Lee, Jung Mo Lee, Young Ae Kang, Ah Young Leem, Eun Young Kim, Ji Ye Jung, Moo Suk Park, Young Sam Kim, Se Kyu Kim, Joon Chang, Song Yee Kim
Lung.2017; 195(2): 209. CrossRef
The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef
Discordance in the diagnosis of diabetes: Comparison between HbA1c and fasting plasma glucose
Lan T. Ho-Pham, Uyen D. T. Nguyen, Truong X. Tran, Tuan V. Nguyen, Petter Bjornstad
PLOS ONE.2017; 12(8): e0182192. CrossRef
Increment of serum bilirubin as an independent marker predicting new-onset type 2 diabetes mellitus in a Korean population
S.-E. Lee, Y.-B. Lee, J.E. Jun, S.-M. Jin, J.H. Jee, J.C. Bae, J.H. Kim
Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(3): 234. CrossRef
Comparison of Antidiabetic Regimens in Patients with Type 2 Diabetes Uncontrolled by Combination Therapy of Sulfonylurea and Metformin: Results of the MOHAS Disease Registry in Korea
Sung Hee Choi, Tae Jung Oh, Hak Chul Jang
Diabetes & Metabolism Journal.2017; 41(3): 170. CrossRef
A Case Report of Diabetes Mellitus with Herniated Intervertebral Lumbar Discs Improved by Korean Medicine Treatment
Dong-geun Han, A-ryun Choi, You-jin Jung, Ah-hyun Kang, Hye-jin Seo, Jae-yeon Sung, Hyung-chul Lee, Gook-hyun Eom, Woo-sub Song
The Journal of Internal Korean Medicine.2017; 38(5): 828. CrossRef
Trends in the pervasiveness of type 2 diabetes, impaired fasting glucose and co-morbidities during an 8-year-follow-up of nationwide Korean population
Junghyun Noh, Kyung-Do Han, Seung-Hyun Ko, Kyung Soo Ko, Cheol-Young Park
Scientific Reports.2017;[Epub] CrossRef
Cancer screening rate in people with diabetes in the Korean population: results from the Korea National Health and Nutrition Examination Survey 2007-2009
Kumban Walter Chuck, Minji Hwang, Kui Son Choi, Mina Suh, Jae Kwan Jun, Boyoung Park
Epidemiology and Health.2017; 39: e2017036. CrossRef
Fasting glucose and risk of colorectal cancer in the Korean Multi-center Cancer Cohort
Hyeree Park, Sooyoung Cho, Hyeongtaek Woo, Sue K. Park, Hai-Rim Shin, Soung-Hoon Chang, Keun-Young Yoo, Aesun Shin, Cheng Hu
PLOS ONE.2017; 12(11): e0188465. CrossRef
Effectiveness and safety of exenatide in Korean patients with type 2 diabetes inadequately controlled with oral hypoglycemic agents: an observational study in a real clinical practice
You-Cheol Hwang, Ari Kim, Euna Jo, Yeoree Yang, Jae-Hyoung Cho, Byung-Wan Lee
BMC Endocrine Disorders.2017;[Epub] CrossRef
Anti-diabetic effect of magnesium salt extracts from deep-sea water in C57BLKS/J-db/db mice
Min Hee Hwang, Dong Gun Lee, Eun Byeol Go, Miju Cho, Young Sig Park, Namhyun Chung
Applied Biological Chemistry.2017; 60(1): 95. CrossRef
Delay of insulin initiation in patients with type 2 diabetes mellitus inadequately controlled with oral hypoglycemic agents (analysis of patient‐ and physician‐related factors): A prospective observational DIPP‐FACTOR study in Korea
Sin Gon Kim, Nam Hoon Kim, Bon Jeong Ku, Ho Sang Shon, Doo Man Kim, Tae Sun Park, Yong‐Seong Kim, In Joo Kim, Dong Seop Choi
Journal of Diabetes Investigation.2017; 8(3): 346. CrossRef
Serum calcium changes and risk of type 2 diabetes mellitus in Asian population
Sunghwan Suh, Ji Cheol Bae, Sang-Man Jin, Jae Hwan Jee, Mi Kyoung Park, Duk Kyu Kim, Jae Hyeon Kim
Diabetes Research and Clinical Practice.2017; 133: 109. CrossRef
New anti-diabetic agents
Doo-Man Kim
Journal of the Korean Medical Association.2017; 60(12): 992. CrossRef
Incidence and predictors of type 2 diabetes among Koreans: A 12-year follow up of the Korean Genome and Epidemiology Study
Seung Jin Han, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Nam H. Cho
Diabetes Research and Clinical Practice.2017; 123: 173. CrossRef
Selecting cases and controls for DNA sequencing studies using family histories of disease
Wonji Kim, Dandi Qiao, Michael H. Cho, Soo Heon Kwak, Kyong Soo Park, Edwin K. Silverman, Pak Sham, Sungho Won
Statistics in Medicine.2017; 36(13): 2081. CrossRef
Exenatide versus Insulin Lispro Added to Basal Insulin in a Subgroup of Korean Patients with Type 2 Diabetes Mellitus
Kun-Ho Yoon, Elise Hardy, Jenny Han
Diabetes & Metabolism Journal.2017; 41(1): 69. CrossRef
Dietary total, animal, vegetable calcium and type 2 diabetes incidence among Korean adults: The Korean Multi-Rural Communities Cohort (MRCohort)
J.M. Oh, H.W. Woo, M.K. Kim, Y.-H. Lee, D.H. Shin, M.-H. Shin, B.Y. Choi
Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(12): 1152. CrossRef
Modified Lisfranc Amputation to Reduce Hematoma Rate in Diabetic Foot Ulcer
Sooseong Leem, M. Seung Suk Choi, Jung Woo Chang, Jang Hyun Lee
Journal of Wound Management and Research.2017; 13(2): 40. CrossRef
Addition of Ipragliflozin to Metformin Treatment in Korean Patients with Type 2 Diabetes Mellitus: Subgroup Analysis of a Phase 3 Trial
Kyung-Wan Min, Bon Jeong Ku, Ji-Hyun Lee, Min-Seon Kim, Kyu-Jeung Ahn, Moon-Kyu Lee, Satoshi Kokubo, Satoshi Yoshida, Hyun-Ji Cho, Bong-Soo Cha
Diabetes & Metabolism Journal.2017; 41(2): 135. CrossRef
A Case of Multiple Endocrine Neoplasia Type 1 in Type 2 Diabetes Mellitus with Poor Glycemic Control
Yong Hoon Lee, Yu Chang Lee, Jung Eun Lee, Sol Jae Lee, Su Jin Jeong, Chong Hwa Kim
The Journal of Korean Diabetes.2017; 18(2): 125. CrossRef
Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: a nationwide study (2006–2013)
Chang Hee Jung, Jin Ook Chung, Kyungdo Han, Seung-Hyun Ko, Kyung Soo Ko, Joong-Yeol Park
Cardiovascular Diabetology.2017;[Epub] CrossRef
Current status of managing diabetes mellitus in Korea
Kyoung Hwa Ha, Dae Jung Kim
The Korean Journal of Internal Medicine.2016; 31(5): 845. CrossRef
Self‐perceived health versus actual cardiovascular disease risks
Young Ko, Sunjoo Boo
Japan Journal of Nursing Science.2016; 13(1): 65. CrossRef
Comparison of Vildagliptin and Pioglitazone in Korean Patients with Type 2 Diabetes Inadequately Controlled with Metformin
Jong Ho Kim, Sang Soo Kim, Hong Sun Baek, In Kyu Lee, Dong Jin Chung, Ho Sang Sohn, Hak Yeon Bae, Mi Kyung Kim, Jeong Hyun Park, Young Sik Choi, Young Il Kim, Jong Ryeal Hahm, Chang Won Lee, Sung Rae Jo, Mi Kyung Park, Kwang Jae Lee, In Joo Kim
Diabetes & Metabolism Journal.2016; 40(3): 230. CrossRef
Epidemiology of Type 1 Diabetes Mellitus in Korea through an Investigation of the National Registration Project of Type 1 Diabetes for the Reimbursement of Glucometer Strips with Additional Analyses Using Claims Data
Sun Ok Song, Young Duk Song, Joo Young Nam, Kyeong Hye Park, Ji-Hae Yoon, Kyung-Mi Son, Young Ko, Dong-Ha Lim
Diabetes & Metabolism Journal.2016; 40(1): 35. CrossRef
Obesity and Insulin Resistance According to Age in Newly Diagnosed Type 2 Diabetes Patients in Korea
Ju Won Lee, Nam Kyu Kim, Hyun Joon Park, Jun Yeob Lee, Seon Yoon Choi, Eun Mi Lee, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
Kosin Medical Journal.2016; 31(2): 157. CrossRef
The Relationships of Demographic Characteristics with Diabetes Biomarkers and Physical Activity Adherence in African American Adults
Diane Orr Chlebowy, Nancy Kubiak, John Myers, Anna Jorayeva
Journal of Racial and Ethnic Health Disparities.2016; 3(2): 240. CrossRef
Visceral Fat Mass Has Stronger Associations with Diabetes and Prediabetes than Other Anthropometric Obesity Indicators among Korean Adults
Suk Hwa Jung, Kyoung Hwa Ha, Dae Jung Kim
Yonsei Medical Journal.2016; 57(3): 674. CrossRef
Insulin Secretory Capacity and Insulin Resistance in Korean Type 2 Diabetes Mellitus Patients
Jong-Dai Kim, Won-Young Lee
Endocrinology and Metabolism.2016; 31(3): 354. CrossRef
Effect of Wheat Flour Noodles with Bombyx mori Powder on Glycemic Response in Healthy Subjects
Wanhee Suk, JiEun Kim, Do-Yeon Kim, Hyunjung Lim, Ryowon Choue
Preventive Nutrition and Food Science.2016; 21(3): 165. CrossRef
Trends in Diabetes Incidence in the Last Decade Based on Korean National Health Insurance Claims Data
Sun Ok Song, Yong-ho Lee, Dong Wook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung-Wan Lee
Endocrinology and Metabolism.2016; 31(2): 292. CrossRef
Diabetes in Asia and the Pacific: Implications for the Global Epidemic
Arun Nanditha, Ronald C.W. Ma, Ambady Ramachandran, Chamukuttan Snehalatha, Juliana C.N. Chan, Kee Seng Chia, Jonathan E. Shaw, Paul Z. Zimmet
Diabetes Care.2016; 39(3): 472. CrossRef
Sarcopenia, Frailty, and Diabetes in Older Adults
Hak Chul Jang
Diabetes & Metabolism Journal.2016; 40(3): 182. CrossRef
Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
Bo Kyung Koo, Min Kyong Moon
Diabetes & Metabolism Journal.2016; 40(3): 175. CrossRef
Association between Sleep Duration and Impaired Fasting Glucose in Korean Adults: Results from the Korean National Health and Nutrition Examination Survey 2011–2012
Cho-Rong Kim, Yun-Mi Song, Jin-Young Shin, Wook Gim
Korean Journal of Family Medicine.2016; 37(1): 51. CrossRef
Mortality and causes of death in a national sample of type 2 diabetic patients in Korea from 2002 to 2013
Yu Mi Kang, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
Cardiovascular Diabetology.2016;[Epub] CrossRef
The Diabetes Epidemic in Korea
Junghyun Noh
Endocrinology and Metabolism.2016; 31(3): 349. CrossRef
Prevalence and risk factors of type 2 diabetes in middle-aged women in Northern Vietnam
Tran Quang Binh, Bui Thi Nhung
International Journal of Diabetes in Developing Countries.2016; 36(2): 150. CrossRef
One-Year Experience Managing a Cancer Survivorship Clinic Using a Shared-Care Model for Gastric Cancer Survivors in Korea
Ji Eun Lee, Dong Wook Shin, Hyejin Lee, Ki Young Son, Warrick Junsuk Kim, Yun-Suhk Suh, Seong-Ho Kong, Hyuk Joon Lee, Belong Cho, Han-Kwang Yang
Journal of Korean Medical Science.2016; 31(6): 859. CrossRef
Octaphlorethol A, a marine algae product, exhibits antidiabetic effects in type 2 diabetic mice by activating AMP-activated protein kinase and upregulating the expression of glucose transporter 4
Seung-Hong Lee, Seok-Chun Ko, Min-Cheol Kang, Dae Ho Lee, You-Jin Jeon
Food and Chemical Toxicology.2016; 91: 58. CrossRef
National trends in carotid endarterectomy and stenting in Korea from 2004 to 2013
Sung-Shin Cho, Jin Hyun Joh, Hyung-Joon Ahn, Ho-Chul Park
Experimental and Therapeutic Medicine.2016; 12(4): 2639. CrossRef
Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance
Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes & Metabolism Journal.2015; 39(2): 147. CrossRef
Hepatitis B virus infection, diabetes mellitus, and their synergism for cholangiocarcinoma development: A case-control study in Korea
Ban Seok Lee
World Journal of Gastroenterology.2015; 21(2): 502. CrossRef
Diabetes in Asians
Eun-Jung Rhee
Endocrinology and Metabolism.2015; 30(3): 263. CrossRef
Hypoglycemic effects of aqueous persimmon leaf extract in a murine model of diabetes
UI-JIN BAE, SOO-HYUN PARK, SU-YOUNG JUNG, BYUNG-HYUN PARK, SOO-WAN CHAE
Molecular Medicine Reports.2015; 12(2): 2547. CrossRef
Diabetes Mellitus and Site-specific Colorectal Cancer Risk in Korea: A Case-control Study
Hyeongtaek Woo, Jeeyoo Lee, Jeonghee Lee, Ji Won Park, Sungchan Park, Jeongseon Kim, Jae Hwan Oh, Aesun Shin
Journal of Preventive Medicine and Public Health.2015; 49(1): 45. CrossRef
Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
Diabetes & Metabolism Journal.2015; 39(4): 307. CrossRef
Age- and Sex-Specific Relationships between Household Income, Education, and Diabetes Mellitus in Korean Adults: The Korea National Health and Nutrition Examination Survey, 2008-2010
So-Ra Kim, Kyungdo Han, Jin-Young Choi, Jennifer Ersek, Junxiu Liu, Sun-Jin Jo, Kang-Sook Lee, Hyeon Woo Yim, Won-Chul Lee, Yong Gyu Park, Seung-Hwan Lee, Yong-Moon Park, C. Mary Schooling
PLOS ONE.2015; 10(1): e0117034. CrossRef
Genetic and baseline metabolic factors for incident diabetes and HbA1c at follow‐up: the healthy twin study
Joohon Sung, Kayoung Lee, Yun‐Mi Song, Mikyeong Lee, Jina Kim
Diabetes/Metabolism Research and Reviews.2015; 31(4): 376. CrossRef
Cardiovascular disease incidence, mortality and case fatality related to diabetes and metabolic syndrome: A community‐based prospective study (Ansung‐Ansan cohort 2001–12)
Ji Cheol Bae, Nam H. Cho, Sunghwan Suh, Jae Hyeon Kim, Kyu Yeon Hur, Sang‐Man Jin, Moon‐Kyu Lee
Journal of Diabetes.2015; 7(6): 791. CrossRef
Changing relative contribution of abdominal obesity and a family history of diabetes on prevalence of diabetes mellitus in Korean men and women aged 30–49 years from 2001 to 2010 从2001至2010年在韩国30–49岁年龄段的男性与女性中腹型肥胖以及糖尿病家族史对糖尿病患病率相对贡献度的变化
Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Kyong Soo Park, Min Kyong Moon
Journal of Diabetes.2015; 7(4): 465. CrossRef
National trends for the treatment of peripheral arterial disease in Korea between 2004 and 2013
Youn Young Park, Jin Hyun Joh, Sang-Ah Han, Sang Hyun Kim, Sungsin Cho, Ho-Chul Park, Hyung Joon Ahn
Annals of Surgical Treatment and Research.2015; 89(6): 319. CrossRef
Achievements in and Challenges of Tuberculosis Control in South Korea
Ji Han Kim, Jae-Joon Yim
Emerging Infectious Diseases.2015; 21(11): 1913. CrossRef
Trends in the Diabetes Epidemic in Korea
Kyoung Hwa Ha, Dae Jung Kim
Endocrinology and Metabolism.2015; 30(2): 142. CrossRef
Assessment of Cardiovascular Risk in Adults With Type 2 Diabetes and Metabolic Syndrome
Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk, Sun-Mi Chae
The Diabetes Educator.2015; 41(2): 203. CrossRef
Relationship between dyslipidemia and albuminuria in prediabetic adults: The Korea National Health and Nutrition Examination Survey 2011–2012
Ga Eun Nam, Kyungdo Han, Do Hoon Kim, Yong Gyu Park, Yeo Joon Yoon, Young Eun Kim, Sangsu Lee, Sungho Lee, Yong Kyun Roh
Endocrine.2015; 48(2): 557. CrossRef
Periodontal disease associated with blood glucose levels in urban Koreans aged 50 years and older: the Dong‐gu study
Young‐Suk Jung, Min‐Ho Shin, Sun‐Seog Kweon, Young‐Hoon Lee, Ok‐Joon Kim, Young‐Joon Kim, Hyun‐Ju Chung, Ok‐Su Kim
Gerodontology.2015; 32(4): 267. CrossRef
Low Economic Status Is Identified as an Emerging Risk Factor for Diabetes Mellitus in Korean Men Aged 30 to 59 Years in Korean National Health and Nutrition Examination Survey 2008 to 2010
Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Min Kyong Moon
Diabetes & Metabolism Journal.2015; 39(2): 137. CrossRef
Need for Diabetes Prevention Study
Ja Young Jeon, Dae Jung Kim
The Journal of Korean Diabetes.2015; 16(3): 161. CrossRef
The influencing factors associated with glycemic control among adult diabetes patients
Kisook Kim
Journal of the Korea Academia-Industrial cooperation Society.2015; 16(5): 3284. CrossRef
Fat Intake and Type 2 Diabetes
Mototsugu NAGAO, Akira ASAI, Hitoshi SUGIHARA, Shinichi OIKAWA
Oleoscience.2015; 15(2): 69. CrossRef
Assessment of glycemic control in patients with type 2 diabetes mellitus treated with metformin–sulfonylurea combination: Results of a multicenter, cross‐sectional, observational study in Korea
Sin Gon Kim, Jong Ryeal Hahm, Duk Kyu Kim, Sung Rae Cho, Dong Seop Choi
Journal of Diabetes Investigation.2015; 6(3): 317. CrossRef
Development of Job Standards for Clinical Dietitians Administering Clinical Nutrition Therapy to Diabetic Patients in Hospitals
Su-Jin Gwon, Mi-Hye Woo, Dal Lae Ju, Eun Mi Kim, Mi-Sun Park, Cheongmin Sohn, Gyung-Ah Wie, Song-Mi Lee, Jin-A Cha, Jung-Sook Seo
Journal of the Korean Dietetic Association.2015; 21(1): 37. CrossRef
Prevalence, awareness and control of diabetes in urban area of north of Iran, 2009
Z. Mohtasham-Amiri, A. Barzigar, H. Rahimi Kolamroudi, S. Hoseini, S. M. Rezvani, R. Jafari Shakib, A. Jafari Shakib
International Journal of Diabetes in Developing Countries.2015; 35(3): 346. CrossRef
Fat intake and the development of type 2 diabetes [Review]
Mototsugu Nagao, Akira Asai, Hitoshi Sugihara, Shinichi Oikawa
Endocrine Journal.2015; 62(7): 561. CrossRef
It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
Sang Yong Kim
Diabetes & Metabolism Journal.2014; 38(3): 194. CrossRef
Factors Associated for Mild Cognitive Impairment in Older Korean Adults with Type 2 Diabetes Mellitus
Yun Jeong Lee, Hye Mi Kang, Na Kyung Kim, Ju Yeon Yang, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes & Metabolism Journal.2014; 38(2): 150. CrossRef
Management of Diabetic Foot Ulcer
Dong-Kyo Seo, Ho Seong Lee
Journal of Korean Foot and Ankle Society.2014; 18(1): 1. CrossRef
Association between extraversion personality and abnormal glucose regulation in young Korean women
Unjin Shim, Jee-Young Oh, Hyejin Lee, Yeon-Ah Sung, Han-Na Kim, Hyung-Lae Kim
Acta Diabetologica.2014; 51(3): 421. CrossRef
Effects of Diet Modification on Meal Quality and Quality of Life in Korean Diabetic Patients: Data from Korea National Health and Nutrition Examination Survey (2007-2011)
Yoonsu Cho, Min-Jeong Shin, Hye-Kyung Chung
Clinical Nutrition Research.2014; 3(2): 106. CrossRef
Sex Factors in the Metabolic Syndrome as a Predictor of Cardiovascular Disease
Sunghwan Suh, Jongha Baek, Ji Cheol Bae, Kyoung-Nyoun Kim, Mi Kyoung Park, Duk Kyu Kim, Nam H. Cho, Moon-Kyu Lee
Endocrinology and Metabolism.2014; 29(4): 522. CrossRef
Effect of dietary CLA supplementation on renal inflammation in diabetic mice
Na-Young Park, Hanna Shin, Yunsook Lim
Food Science and Biotechnology.2014; 23(5): 1623. CrossRef
Trends in the Leading Causes of Death in Korea, 1983-2012
Daroh Lim, Mina Ha, Inmyung Song
Journal of Korean Medical Science.2014; 29(12): 1597. CrossRef
Clinical Characteristics of Diabetic Patients Transferred to Korean Referral Hospitals
Min Young Oh, Sang Soo Kim, In Joo Kim, In Kyu Lee, Hong Sun Baek, Hyoung Woo Lee, Min Young Chung
Diabetes & Metabolism Journal.2014; 38(5): 388. CrossRef
Association between fasting serum glucose levels and incidence of colorectal cancer in Korean men: The Korean Cancer Prevention Study-II
Hyun-Young Shin, Keum Ji Jung, John A. Linton, Sun Ha Jee
Metabolism.2014; 63(10): 1250. CrossRef
Glucagon-Like Peptide-1 (GLP-1) Agonist
Young Sil Eom, Byung-Joon Kim
Korean Journal of Medicine.2014; 87(1): 9. CrossRef
Prevalence and clinical implications of painful diabetic peripheral neuropathy in type 2 diabetes: Results from a nationwide hospital-based study of diabetic neuropathy in Korea
Sang Soo Kim, Jong Chul Won, Hyuk Sang Kwon, Chong Hwa Kim, Ji Hyun Lee, Tae Sun Park, Kyung Soo Ko, Bong Yun Cha
Diabetes Research and Clinical Practice.2014; 103(3): 522. CrossRef
Current Status of Diabetic Peripheral Neuropathy in Korea: Report of a Hospital-Based Study of Type 2 Diabetic Patients in Korea by the Diabetic Neuropathy Study Group of the Korean Diabetes Association
Jong Chul Won, Sang Soo Kim, Kyung Soo Ko, Bong-Yun Cha
Diabetes & Metabolism Journal.2014; 38(1): 25. CrossRef
Clinical and Economic Outcomes in Medication-Adherent and -Nonadherent Patients With Type 2 Diabetes Mellitus in the Republic of Korea
So-Yeon An, Hae Jin Kim, Ki Hong Chun, Tae Ho Kim, Ja Young Jeon, Dae Jung Kim, Seung Jin Han, Young Seol Kim, Jeong Taek Woo, Kyu Jeung Ahn, Yongsoo Park, Moonsuk Nam, Sei Hyun Baik, Kwan-Woo Lee
Clinical Therapeutics.2014; 36(2): 245. CrossRef
Metabolic Syndrome and Cardiovascular Diseases in Korea
Sunghwan Suh, Moon-Kyu Lee
Journal of Atherosclerosis and Thrombosis.2014; : S31. CrossRef
The Incidence and Prevalence of Diabetes Mellitus and Related Atherosclerotic Complications in Korea: A National Health Insurance Database Study
Bo Kyung Koo, Chang-Hoon Lee, Bo Ram Yang, Seung-sik Hwang, Nam-Kyong Choi, Mohammad Ebrahim Khamseh
PLoS ONE.2014; 9(10): e110650. CrossRef
Burden of disease in Korea during 2000-10
K. S. Lee, J. H. Park
Journal of Public Health.2014; 36(2): 225. CrossRef
Plasma Glucose Regulation and Mortality in Korea: A Pooled Analysis of Three Community-Based Cohort Studies
Nan Hee Kim, Dong-Jun Kim, Seok Won Park, Jee-Young Oh, Joong-Yeol Park, Chol Shin, Hong Kyu Lee, Yongsoo Park
Diabetes & Metabolism Journal.2014; 38(1): 44. CrossRef
Elevated thyroid stimulating hormone levels are associated with metabolic syndrome in euthyroid young women
Jee-Young Oh, Yeon-Ah Sung, Hye Jin Lee
The Korean Journal of Internal Medicine.2013; 28(2): 180. CrossRef
Multi-Institutional Analysis of Localized Renal Cell Carcinoma that Demonstrates the Impact of Diabetic Status on Prognosis After Nephrectomy
Yun-Sok Ha, Won Tae Kim, Seok-Joong Yun, Sang-Cheol Lee, Wun-Jae Kim, Yong Hyun Park, Seok Ho Kang, Sung-Hoo Hong, Seok-Soo Byun, Yong-June Kim
Annals of Surgical Oncology.2013; 20(11): 3662. CrossRef
Sleep Duration and Glycemic Control in Patients with Diabetes Mellitus: Korea National Health and Nutrition Examination Survey 2007-2010
Bu Kyung Kim, Bong Sun Kim, So-Yeon An, Min Suk Lee, Yong Jun Choi, Seung Jin Han, Yoon-sok Chung, Kwan-Woo Lee, Dae Jung Kim
Journal of Korean Medical Science.2013; 28(9): 1334. CrossRef
Comparison of Two-point Discrimination Perception in Stroke Patients with and without Diabetes Mellitus
Jin-Seop Kim, Seung-Ju Yi
Journal of Physical Therapy Science.2013; 25(8): 1007. CrossRef
Association Between Blood Sugar Level, Psychological Impact, and Emotional Symptoms in Patients Newly Diagnosed with Diabetes
Young Mi Lee, Hyung Jung Lee, Eun Jin Kwon, Ji Yoon Ha, Min Kyung Kim, Tae woong Noh, Shinae Kang, Jong Suk Park, Jeong Ho Seok, Chul Woo Ahn, Kyung Rae Kim
The Journal of Korean Diabetes.2013; 14(1): 46. CrossRef
Diabetes Epidemics in Korea: Reappraise Nationwide Survey of Diabetes "Diabetes in Korea 2007"
Ie Byung Park, Jaiyong Kim, Dae Jung Kim, Choon Hee Chung, Jee-Young Oh, Seok Won Park, Juneyoung Lee, Kyung Mook Choi, Kyung Wan Min, Jeong Hyun Park, Hyun Shik Son, Chul Woo Ahn, Hwayoung Kim, Sunhee Lee, Im Bong Lee, Injeoung Choi, Sei Hyun Baik
Diabetes & Metabolism Journal.2013; 37(4): 233. CrossRef
Diabetes Mellitus and Ovarian Cancer Risk
Jung-Yun Lee, InPyo Jeon, Jae Weon Kim, Yong-Sang Song, Jae-Moon Yoon, Sang Min Park
International Journal of Gynecological Cancer.2013; 23(3): 402. CrossRef
Letter: Increasing Prevalence of Type 2 Diabetes in a Rural Bangladeshi Population: A Population Based Study for 10 Years (Diabetes Metab J2013;37:46-53)
Nan Hee Kim
Diabetes & Metabolism Journal.2013; 37(2): 152. CrossRef
Beneficial Effects of Fresh and Fermented Kimchi in Prediabetic Individuals
So-Yeon An, Min Suk Lee, Ja Young Jeon, Eun Suk Ha, Tae Ho Kim, Ja Young Yoon, Chang-Ok Ok, Hye-Kyoung Lee, Won-Sun Hwang, Sun Jung Choe, Seung Jin Han, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee
Annals of Nutrition and Metabolism.2013; 63(1-2): 111. CrossRef
Higher mortality in metabolically obese normal‐weight people than in metabolically healthy obese subjects in elderly Koreans
Kyung Mook Choi, Hyun Joo Cho, Hae Yoon Choi, Sae Jeong Yang, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Sei Hyun Baik, Dong Seop Choi, Nan Hee Kim
Clinical Endocrinology.2013; 79(3): 364. CrossRef
Prevention and management of the diabetic foot
Ho Seong Lee
Journal of the Korean Medical Association.2013; 56(3): 220. CrossRef
A Randomized-Controlled, Pilot Intervention on Diabetes Prevention and Healthy Lifestyles in the New York City Korean Community
Nadia S. Islam, Jennifer M. Zanowiak, Laura C. Wyatt, Kay Chun, Linda Lee, Simona C. Kwon, Chau Trinh-Shevrin
Journal of Community Health.2013; 38(6): 1030. CrossRef
Effect of all-trans-retinoic acid on the structure of thyroid gland and pituitary tyrotrophs in streptozotocin-diabetic male rats
Ola A. Hussein, Amel M.M. Abdel-Hafez
The Egyptian Journal of Histology.2013; 36(3): 691. CrossRef
Coronary Heart Disease and Risk Factors in Latin America
Fernando Lanas, Pamela Serón, Alejandra Lanas
Global Heart.2013; 8(4): 341. CrossRef
Prevalence of Diabetes and Prediabetes according to Fasting Plasma Glucose and HbA1c
Ja Young Jeon, Seung-Hyun Ko, Hyuk-Sang Kwon, Nan Hee Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Myoung-jin Jang, Yuna Kim, Kyungwon Oh, Dae Jung Kim, Bong-Yun Cha
Diabetes & Metabolism Journal.2013; 37(5): 349. CrossRef
Diabetes Risk Score for Korean Adults
Yong-ho Lee, Dae Jung Kim
The Journal of Korean Diabetes.2013; 14(1): 6. CrossRef
The lipid accumulation product as a useful index for identifying abnormal glucose regulation in young Korean women
J.‐Y. Oh, Y.‐A. Sung, H. J. Lee
Diabetic Medicine.2013; 30(4): 436. CrossRef
Diabetes Mellitus and Tuberculosis
Bo Kyung Koo
Diabetes & Metabolism Journal.2013; 37(4): 249. CrossRef
Prevalence and factors associated with diabetic retinopathy in a Korean adult population: The 2008–2009 Korea National Health and Nutrition Examination Survey
Ju Yean Yang, Na Kyung Kim, Yun Jeong Lee, Jung Hyun Noh, Dae Jung Kim, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Research and Clinical Practice.2013; 102(3): 218. CrossRef
Lower Urinary Tract Symptoms and Erectile Dysfunction in Men With Type 2 Diabetes Mellitus
Hyo Jeong Song, Eun Joo Lee, Nancy Bergstrom, Duck-Hee Kang, Dae Ho Lee, Gwangpyo Koh, Jung-Sik Huh, Sung Dae Kim, Seong Cheol Hong, Seong Sil Moon, Jiyoung Kang
International Neurourology Journal.2013; 17(4): 180. CrossRef
Decreasing Trends of the Prevalence of Diabetes and Obesity in Korean Women Aged 30–59 Years Over the Past Decade: Results From the Korean National Health and Nutrition Examination Survey, 2001–2010
Bo Kyung Koo, Eun Ky Kim, Hoonsung Choi, Kyong Soo Park, Min Kyong Moon
Diabetes Care.2013; 36(7): e95. CrossRef
Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
Diabetic Medicine.2013; 30(9): 1075. CrossRef
Prevalence and correlates of hyperglycemia in a rural population, Vietnam: implications from a cross–sectional study
Tran Quang Binh, Pham Tran Phuong, Bui Thi Nhung, Dang Dinh Thoang, Pham Van Thang, Tran Khanh Long, Duong Van Thanh
BMC Public Health.2012;[Epub] CrossRef
The association of baseline adipocytokine levels with glycemic progression in nondiabetic Korean adults in 4 years of follow-up
Eun-Jung Rhee, Mi Hae Seo, Won Seon Jeon, Hee Kwan Won, Ji-Hun Choi, Se Eun Park, Cheol-Young Park, Hyon Joo Kwag, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim, Won-Young Lee
Diabetes Research and Clinical Practice.2012; 98(3): 501. CrossRef
Exercise and Type 2 Diabetes: ACSM and ADA Joint Position Statement
Kyung Soo Kim, Seok Won Park
Journal of Korean Diabetes.2012; 13(2): 61. CrossRef
Serum Lipid Concentrations, Prevalence of Dyslipidemia, and Percentage Eligible for Pharmacological Treatment of Korean Children and Adolescents; Data from the Korea National Health and Nutrition Examination Survey IV (2007–2009)
Seung Yang, Jin Soon Hwang, Hong Kyu Park, Hae Sang Lee, Hae Soon Kim, Eun Young Kim, Jung Sub Lim, Weili Zhang
PLoS ONE.2012; 7(12): e49253. CrossRef
Retinoid Metabolism and Diabetes Mellitus
Eun-Jung Rhee, Jorge Plutzky
Diabetes & Metabolism Journal.2012; 36(3): 167. CrossRef
Health-Related Quality of Life Using the EuroQol 5D Questionnaire in Korean Patients with Type 2 Diabetes
Woo Je Lee, Kee-Ho Song, Jung Hyun Noh, Yon Jong Choi, Min-Woo Jo
Journal of Korean Medical Science.2012; 27(3): 255. CrossRef
Education as Prescription for Patients with Type 2 Diabetes Mellitus: Compliance and Efficacy in Clinical Practice
Mi Yeon Kim, Sunghwan Suh, Sang-Man Jin, Se Won Kim, Ji Cheol Bae, Kyu Yeon Hur, Sung Hye Kim, Mi Yong Rha, Young Yun Cho, Myung-Shik Lee, Moon Kyu Lee, Kwang-Won Kim, Jae Hyeon Kim
Diabetes & Metabolism Journal.2012; 36(6): 452. CrossRef
Post-marketing Surveillance of the Safety and Effectiveness of Rosiglitazone/Metformin in Korean Patients with Type 2 Diabetes
HanKyu Lee, So-Hyun Park, Shin-Young Oh, Yil-Seob Lee
Journal of Korean Society for Clinical Pharmacology and Therapeutics.2012; 20(2): 195. CrossRef
Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus in Korea
Seung-Hyun Ko, Bong-Yun Cha
Diabetes & Metabolism Journal.2012; 36(1): 6. CrossRef
Association between EPCs count and rate of coronary revascularization in asymptomatic type 2 diabetic patients
Hyun Min Kim, Kwang Joon Kim, Jae Hoon Moon, Hye-Jeong Lee, Min Kyung Chae, Hyuk-Jae Chang, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee, Young Jin Kim, Byung-Wan Lee
Acta Diabetologica.2012; 49(6): 413. CrossRef
New therapeutic agents for glycemic control in diabetes mellitus
Hyuk Sang Kwon
Journal of the Korean Medical Association.2012; 55(3): 271. CrossRef
Ginseng and Diabetes: The Evidences from In Vitro, Animal and Human Studies
Hai-Dan Yuan, Jung-Tae Kim, Sung-Hoon Kim, Sung-Hyun Chung
Journal of Ginseng Research.2012; 36(1): 27. CrossRef
Reduced lung function is independently associated with increased risk of type 2 diabetes in Korean men
Chang-Hee Kwon, Eun-Jung Rhee, Jae-Uk Song, Jung-Tae Kim, Hyon Joo Kwag, Ki-Chul Sung
Cardiovascular Diabetology.2012;[Epub] CrossRef
Current therapeutic agents and anesthetic considerations for diabetes mellitus
Hyoseok Kang
Korean Journal of Anesthesiology.2012; 63(3): 195. CrossRef
A Simple Screening Score for Diabetes for the Korean Population
Yong-ho Lee, Heejung Bang, Hyeon Chang Kim, Hee Man Kim, Seok Won Park, Dae Jung Kim
Diabetes Care.2012; 35(8): 1723. CrossRef
2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
Seung-Hyun Ko, Sung-Rea Kim, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hae Jin Kim, In-Kyung Jeong, Eun-Kyung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon
Diabetes & Metabolism Journal.2011; 35(5): 431. CrossRef
2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
Seung-Hyun Ko, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hye Jin Kim, In-Kyung Jeong, Eun-Gyoung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon, Sung-Rea Kim
Journal of Korean Diabetes.2011; 12(4): 183. CrossRef
Epidemiology of Micro- and Macrovascular Complications of Type 2 Diabetes in Korea
Jung Hee Kim, Dae Jung Kim, Hak Chul Jang, Sung Hee Choi
Diabetes & Metabolism Journal.2011; 35(6): 571. CrossRef
Satisfaction with High Deductible Policies among Patients with Diabetes in the Korean General/University Hospital System
Dae Jung Kim
Journal of Korean Diabetes.2011; 12(4): 179. CrossRef

Original Article

Prevalence of Diabetes Mellitus and Prediabetes in Dalseong-gun, Daegu City, Korea: Jung-Eun Lee, Sung-Chang Jung, Gui-Hwa Jung, Sung-Woo Ha, Bo-Wan Kim, Shung-Chull Chae, Wee-Hyun Park, Ji-Sun Lim, Jin-Hoon Yang, Sin Kam, Byung-Yeol Chun, Jong-Yeon Kim, Jung-Jeung Lee, Kyeong-Soo Lee, Moon-Young Ahn, Young-Ae Kim, Jung-Guk Kim; Diabetes Metab J. 2011;35(3):255-263. Published online June 30, 2011; DOI: https://doi.org/10.4093/dmj.2011.35.3.255

11,512 View
41 Download
10 Crossref

Abstract PDF PubReader ePub

Background

The aim of the present study was to determine the population-based prevalence of diabetes mellitus (DM) and prediabetes in a rural district of Daegu City, Korea.

Methods

Between August and November 2003, a community-based health survey of adults aged 20 years and older was performed in the rural district of Dalseong-gun in Daegu City. A total of 1,806 of all eligible individuals agreed to participate. Fasting plasma glucose was measured in all participants. Two hour oral glucose tolerance was measured in the 1,773 participants for whom there was neither an established diagnosis of DM nor evidence of DM according to fasting glucose levels. The prevalence of DM and prediabetes was determined according to the 2003 criteria of the American Diabetes Association. Subjects with prediabetes were classified into one of three categories of glucose intolerance: isolated impaired fasting glucose (IFG); isolated impaired glucose tolerance (IGT); or combined IFG and IGT.

Results

The prevalence of DM was 12.2%. The highest prevalence rates were observed in subjects in their seventies. A total of 34.7% of all subjects who were assigned a diagnosis of DM in the present study had not been diagnosed previously. The prevalence of prediabetes was 22.7%. The highest prevalence rates were observed in subjects in their fifties.

Conclusion

The present study identified prevalence rates of 12.2% for DM (age-standardized prevalence rate [ASR], 6.8%), and 22.7% for prediabetes (ASR 18.5%). These results emphasize the need for community health promotion strategies to prevent or delay the onset of DM in individuals with prediabetes.

Citations

Citations to this article as recorded by

The effects of interaction between smoking and abdominal obesity on pre-diabetes mellitus
Huali Xiong, Peng Zhao, Fengxun Ma, Dayi Tang, Daiqiang Liu
Scientific Reports.2025;[Epub] CrossRef
Rural-urban differentials of prevalence and lifestyle determinants of pre-diabetes and diabetes among the elderly in southwest China
Yi Zhao, Hui-fang Li, Xia Wu, Guo-hui Li, Allison Rabkin Golden, Le Cai
BMC Public Health.2023;[Epub] CrossRef
The Prevalence of Diabetes, Prediabetes and Associated Risk Factors in Hangzhou, Zhejiang Province: A Community-Based Cross-Sectional Study
Mingming Shi, Xiao Zhang, Hui Wang
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 713. CrossRef
Epidemiology of Isolated Impaired Glucose Tolerance Among Adults Aged Above 50 Years in Rural China
Xiaobing Tian, Yan Li, Jie Liu, Qiuxing Lin, Qiaoxia Yang, Jun Tu, Jinghua Wang, Jidong Li, Xianjia Ning
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4067. CrossRef
Association between Frequency of Breakfast Consumption and Insulin Resistance Using Triglyceride-Glucose Index: A Cross-Sectional Study of the Korea National Health and Nutrition Examination Survey (2016–2018)
Hye Jin Joo, Gyu Ri Kim, Eun-Cheol Park, Sung-In Jang
International Journal of Environmental Research and Public Health.2020; 17(9): 3322. CrossRef
The prevalence of prediabetes and associated conditions in Ahmedabad population
Bhoomi Arora, Snehal S. Patel, Banshi D. Saboo
International Journal of Diabetes in Developing Countries.2020; 40(1): 61. CrossRef
STUDY OF DYSLIPIDAEMIA AMONG PRE-DIABETIC PATIENTS
Ravikumar Ravikumar, Gopal Krishnamurthy S. N, Anil Kumar T., Ashwin Kulkarni, Bhavanashree Magaji, Gayatri Sujive
Journal of Evidence Based Medicine and Healthcare.2019; 6(36): 2480. CrossRef
Prevalence of Pre-Diabetes across Ethnicities: A Review of Impaired Fasting Glucose (IFG) and Impaired Glucose Tolerance (IGT) for Classification of Dysglycaemia
Wilson Yip, Ivana Sequeira, Lindsay Plank, Sally Poppitt
Nutrients.2017; 9(11): 1273. CrossRef
Epidemiology of abnormal glucose metabolism in a country facing its epidemic: SAUDI‐DM study
Khalid Al‐Rubeaan, Hamad A. Al‐Manaa, Tawfik A. Khoja, Najlaa A. Ahmad, Ahmad H. Al‐Sharqawi, Khalid Siddiqui, Dehkra Alnaqeb, Khaled H. Aburisheh, Amira M. Youssef, Abdullah Al‐Batel, Metib S. Alotaibi, Ali A. Al‐Gamdi
Journal of Diabetes.2015; 7(5): 622. CrossRef
Association of Adiposity Trajectories With Insulin Sensitivity and Glycemic Deterioration
Rong Liu, Wendy J. Brickman, Katherine K. Christoffel, Xin Liu, Guoying Wang, Lester Arguelles, Shanchun Zhang, Donald Zimmerman, Binyan Wang, Xiping Xu, Zhiping Li, Houxun Xing, Xiaobin Wang
Diabetes Care.2012; 35(7): 1506. CrossRef

Review

The Prediabetic Period: Review of Clinical Aspects: Sang Youl Rhee, Jeong-Taek Woo; Diabetes Metab J. 2011;35(2):107-116. Published online April 30, 2011; DOI: https://doi.org/10.4093/dmj.2011.35.2.107

12,062 View
63 Download
57 Crossref

Abstract PDF PubReader ePub

Hyperglycemia that does not satisfy the diagnostic criteria for diabetes mellitus (DM) is generally called prediabetes (preDM). The global prevalence of preDM has been increasing progressively in the past few decades, and it has been established that preDM status is a strong risk factor for DM and cardiovascular disease. Currently, preDM status is classified into two subtypes: impaired fasting glucose and impaired glucose tolerance. Currently, preDM is not regarded as an independent clinical entity, but only as a risk factor for others. In this article, we review various clinical aspects of preDM in terms of the working definition, changes in criteria over the years, epidemiology, and pathophysiological characteristics, and its clinical significance in current medicine.

Citations

Citations to this article as recorded by

Plasma MicroRNA Expression Differentiates Individuals with Isolated Impaired Fasting Glycaemia from Normal Glucose Tolerance and Type 2 Diabetes Mellitus
Palaniswamy Ramaswamy, Pratibha Misra, Swati Bajaj, G. Ankita, G. Ruchira, P. Arathi, Bhasker Mukherjee, Anurodh Gupta, Y. Vashum, Amrita Parmar, M. K. Sibin
Indian Journal of Clinical Biochemistry.2026;[Epub] CrossRef
Developing a Simple Non–Laboratory-Based Machine Learning Tool for Prediabetes Screening in a Target Population: A Proof-of-Concept Study
Tanja Fredensborg Holm, Thomas Kronborg, Morten Hasselstrøm Jensen, Stine Hangaard
Journal of Diabetes Science and Technology.2025;[Epub] CrossRef
Comparison of triglyceride/glucose index and related parameters with Indian Diabetes Risk Score assessment in non-diabetic individuals visiting primary healthcare centre—A community-based cross-sectional study
Sivapragasam Ramalingam, Amlan Kumar Kar, Rajini Senthil
Journal of Family Medicine and Primary Care.2024; 13(1): 235. CrossRef
Research Progress on the Relationship between Type 2 Diabetes Mellitus and Colorectal Adenomas
祥政孟
World Journal of Cancer Research.2024; 14(02): 88. CrossRef
Magnesium from Deep Seawater as a Potentially Effective Natural Product against Insulin Resistance: A Randomized Trial
Ji Yeon Ham, You Kyung Jang, Byong Yeob Jeon, Yun Hee Shon
Medicina.2024; 60(8): 1265. CrossRef
Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?
Davood Khalili, Marjan Khayamzadeh, Karim Kohansal, Noushin Sadat Ahanchi, Mitra Hasheminia, Farzad Hadaegh, Maryam Tohidi, Fereidoun Azizi, Ali Siamak Habibi-Moeini
BMC Endocrine Disorders.2023;[Epub] CrossRef
Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction
Anthony Chibuzor Nnamudi, Noghayin Jerry Orhue, Ifeoma Irene Ijeh, Amarachi Nene Nwabueze
Journal of Diabetes & Metabolic Disorders.2023; 22(2): 1337. CrossRef
Predictive value of triglycerides to high-density lipoprotein cholesterol and triglyceride glycemic index for diabetes incidence in pre-diabetes patients: a prospective cohort study
Mehdi Sharafi, Zahra Amiri, Babak Pezeshki, Mohammad Ali Mohsenpour, Mohammad Hassan Eftekhari, Sima Afrashteh, Elham Haghjoo, Akram Farhadi, Mohsen Khaleghi, Zahra Mastaneh
Journal of Health, Population and Nutrition.2023;[Epub] CrossRef
Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China
Jinyu Su, Zhu Li, Mengnan Huang, Yang Wang, Tong Yang, Mei Ma, Tongyao Ni, Guangwei Pan, Ziqin Lai, Chunjie Li, Lin Li, Chunquan Yu
Cardiovascular Diabetology.2022;[Epub] CrossRef
The triglyceride-glucose index, a predictor of type 2 diabetes development: A retrospective cohort study
Panya Chamroonkiadtikun, Thareerat Ananchaisarp, Worawit Wanichanon
Primary Care Diabetes.2020; 14(2): 161. CrossRef
Undiagnosed prediabetes status is associated with a reduced effectiveness of phosphodiesterase type 5 inhibitors in men with erectile dysfunction
Luca Boeri, Paolo Capogrosso, Eugenio Ventimiglia, Edoardo Pozzi, Francesco Chierigo, Federico Belladelli, Rani Zuabi, Nicolò Schifano, Costantino Abbate, Federico Dehò, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
International Journal of Impotence Research.2020; 32(4): 393. CrossRef
Modifiable risk factors associated with non-communicable diseases among adult outpatients in Manzini, Swaziland: a cross-sectional study
Mojeed Akorede Gbadamosi, Boikhutso Tlou
BMC Public Health.2020;[Epub] CrossRef
Effect of a family and interdisciplinary intervention to prevent T2D: randomized clinical trial
Katya Vargas-Ortiz, Georgina Lira-Mendiola, Claudia M. Gómez-Navarro, Katya Padilla-Estrada, Fabiola Angulo-Romero, José M. Hernández-Márquez, Ana K. Villa-Martínez, Jessica N. González-Mena, Maciste H. Macías-Cervantes, Maria de Lourdes Reyes-Escogido, R
BMC Public Health.2020;[Epub] CrossRef
Sexual Dysfunction in Men with Prediabetes
Luca Boeri, Paolo Capogrosso, Eugenio Ventimiglia, Nicolò Schifano, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
Sexual Medicine Reviews.2020; 8(4): 622. CrossRef
The ratio of estimated average glucose to fasting plasma glucose level as an indicator of insulin resistance in young adult diabetes
Jun Guo, Sisi Lei, Yu Zhou, Congqing Pan
Medicine.2020; 99(40): e22337. CrossRef
Health risks and interventions in prediabetes: A review
Roshan Kumar Mahat, Neelima Singh, Manisha Arora, Vedika Rathore
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(4): 2803. CrossRef
Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
Diabetes & Metabolism Journal.2019; 43(1): 49. CrossRef
Nutraceuticals: Reviewing their Role in Chronic Disease Prevention and Management
Amanda Bergamin, Evangeline Mantzioris, Giordana Cross, Permal Deo, Sanjay Garg, Alison M. Hill
Pharmaceutical Medicine.2019; 33(4): 291. CrossRef
Prediabetes awareness among Southeastern European physicians
Visnja Kokic, Slaven Kokic, Mladen Krnic, Marin Petric, Ana Marija Liberati, Petra Simac, Tatjana Milenkovic, Vesna Capkun, Dario Rahelic, Kristina Blaslov
Journal of Diabetes Investigation.2018; 9(3): 544. CrossRef
Unrecognized Prediabetes Is Highly Prevalent in Men With Erectile Dysfunction–Results From a Cross-Sectional Study
Luca Boeri, Paolo Capogrosso, Filippo Pederzoli, Eugenio Ventimiglia, Nicola Frego, Francesco Chierigo, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
The Journal of Sexual Medicine.2018; 15(8): 1117. CrossRef
Metformin exerts anti-obesity effect via gut microbiome modulation in prediabetics: A hypothesis
Kunal Maniar, Amal Moideen, Rajasri Bhattacharyya, Dibyajyoti Banerjee
Medical Hypotheses.2017; 104: 117. CrossRef
An association between bone mineral density and anabolic hormones in middle-aged and elderly men with prediabetes
Michał Rabijewski, Lucyna Papierska, Paweł Piątkiewicz
The Aging Male.2017; : 1. CrossRef
The Relationships between Anabolic Hormones and Body Composition in Middle-Aged and Elderly Men with Prediabetes: A Cross-Sectional Study
Michał Rabijewski, Lucyna Papierska, Paweł Piątkiewicz
Journal of Diabetes Research.2016; 2016: 1. CrossRef
Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study
Shuang Zheng, Sheng Shi, Xingxing Ren, Tingting Han, Yangxue Li, Yawen Chen, Wei Liu, Peter C. Hou, Yaomin Hu
Journal of Translational Medicine.2016;[Epub] CrossRef
Glucose-Dependent Insulinotropic Peptide Level Is Associated with the Development of Type 2 Diabetes Mellitus
Sunghwan Suh, Mi Yeon Kim, Soo Kyoung Kim, Kyu Yeon Hur, Mi Kyoung Park, Duk Kyu Kim, Nam H. Cho, Moon-Kyu Lee
Endocrinology and Metabolism.2016; 31(1): 134. CrossRef
Predictive Value of Glucose Parameters Obtained From Oral Glucose Tolerance Tests in Identifying Individuals at High Risk for the Development of Diabetes in Korean Population
Hae Kyung Yang, Hee-Sung Ha, Marie Rhee, Jin-Hee Lee, Yong-Moon Park, Hyuk-Sang Kwon, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Seung-Hwan Lee, Kun-Ho Yoon
Medicine.2016; 95(10): e3053. CrossRef
Alteraciones glucémicas en los pacientes con enfermedad renal crónica
G. De’Marziani, G. Soler Pujol, L.M. Obregón, E.M. Morales, C.D. Gonzalez, L. Gonzalez Paganti, L. Cacciagiú, G. Lopez, L. Schreier, A. Elbert
Nefrología.2016; 36(2): 133. CrossRef
Glycaemic changes in patients with chronic kidney disease
Guillermo De’Marziani, Gervasio Soler Pujol, Liliana Miriam Obregón, Elisa Mabel Morales, Claudio Daniel Gonzalez, Luciana Gonzalez Paganti, Leonardo Cacciagiú, Graciela Lopez, Laura Schreier, Alicia Elbert
Nefrología (English Edition).2016; 36(2): 133. CrossRef
Reduction of postprandial blood glucose in healthy subjects by buns and flatbreads incorporated with fenugreek seed powder
Sathyasurya Daniel Robert, Aziz Al-safi Ismail, Wan Ishak Wan Rosli
European Journal of Nutrition.2016; 55(7): 2275. CrossRef
1,5-Anhydroglucitol Is Associated with Early-Phase Insulin Secretion in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus
Xiaojing Ma, Yaping Hao, Xiang Hu, Yuqi Luo, Zixuan Deng, Jian Zhou, Yuqian Bao, Weiping Jia
Diabetes Technology & Therapeutics.2015; 17(5): 320. CrossRef
The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction
Mohsen Janghorbani, Siedeh Zinab Almasi, Masoud Amini
Acta Diabetologica.2015; 52(4): 781. CrossRef
Serum prostate-specific antigen levels in men with prediabetes: A cross-sectional study
Ao Sun, Rui Liu, Guangshan Sun
Scandinavian Journal of Clinical and Laboratory Investigation.2015; 75(3): 273. CrossRef
The Glycated Albumin to Glycated Hemoglobin Ratio Might Not Be Associated with Carotid Atherosclerosis in Patients with Type 1 Diabetes
Wonjin Kim, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Diabetes & Metabolism Journal.2014; 38(6): 456. CrossRef
Predicting the Development of Diabetes Using the Product of Triglycerides and Glucose: The Chungju Metabolic Disease Cohort (CMC) Study
Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Hee-Sung Ha, Seung Hee Jeong, Hae Kyung Yang, Jin-Hee Lee, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Kun-Ho Yoon, Maria Eugenia Saez
PLoS ONE.2014; 9(2): e90430. CrossRef
The effect of insulin resistance on postprandial triglycerides in Korean type 2 diabetic patients
Kyeong Hye Park, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Acta Diabetologica.2014; 51(1): 15. CrossRef
Using a Participatory Research Approach in a School-Based Physical Activity Intervention to Prevent Diabetes in the Hualapai Indian Community, Arizona, 2002–2006
Nicolette I. Teufel-Shone, Michelle Gamber, Helen Watahomigie, T. J. Siyuja, Laurie Crozier, Sandra L. Irwin
Preventing Chronic Disease.2014;[Epub] CrossRef
Proinflammatory and Prothrombotic State in Subjects with Different Glucose Tolerance Status before Cardiovascular Disease
Irma Isordia-Salas, María Eugenia Galván-Plata, Alfredo Leaños-Miranda, Eberth Aguilar-Sosa, Francisco Anaya-Gómez, Abraham Majluf-Cruz, David Santiago-Germán
Journal of Diabetes Research.2014; 2014: 1. CrossRef
mRNA Expression of IGF-1 and IGF-1R in Patients with Colorectal Adenocarcinoma and Type 2 Diabetes
Rui Liu, Li-Ling Hu, Ao Sun, Ya-Jing Cao, Tao Tang, Xi-Peng Zhang, Qing-Huai Zhang
Archives of Medical Research.2014; 45(4): 318. CrossRef
Postprandial C‐peptide to glucose ratio as a predictor of β‐cell function and its usefulness for staged management of type 2 diabetes
Eun Young Lee, Sena Hwang, Seo Hee Lee, Yong‐ho Lee, A Ra Choi, Youngki Lee, Byung‐Wan Lee, Eun Seok Kang, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee
Journal of Diabetes Investigation.2014; 5(5): 517. CrossRef
The glycemic efficacies of insulin analogue regimens according to baseline glycemic status in Korean patients with type 2 diabetes: sub‐analysis from the A 1 chieve ® study
Y.‐C. Hwang, J. G. Kang, K. J. Ahn, B. S. Cha, S.‐H. Ihm, S. Lee, M. Kim, B.‐W. Lee
International Journal of Clinical Practice.2014; 68(11): 1338. CrossRef
Tolerability, effectiveness and predictive parameters for the therapeutic usefulness of exenatide in obese, Korean patients with type 2 diabetes
Sun Ok Song, Kwang Joon Kim, Byung‐Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Journal of Diabetes Investigation.2014; 5(5): 554. CrossRef
Coronary Risk Estimation according to the Framingham-Wilson Score and Impaired Fasting Glucose in Adult Subjects from Maracaibo city, Venezuela
Bermúdez Valmore, Rojas Joselyn, Salazar Juan, González Robys, Martínez María Sofía, Chávez Carmen, Palacio Marcos, Rojas Edward, Cabrera Mayela, Miranda José López
Global Journal of Obesity, Diabetes and Metabolic Syndrome.2014; 1(1): 020. CrossRef
Serum glycated albumin as a new glycemic marker in pediatric diabetes
Ji Woo Lee, Hyung Jin Kim, Young Se Kwon, Yong Hoon Jun, Soon Ki Kim, Jong Weon Choi, Ji Eun Lee
Annals of Pediatric Endocrinology & Metabolism.2013; 18(4): 208. CrossRef
Prediabetes Is Associated with a High-Risk Colorectal Adenoma
Jae Myung Cha, Joung Il Lee, Kwang Ro Joo, Hyun Phil Shin, Jung Won Jeun, Jun Uk Lim
Digestive Diseases and Sciences.2013; 58(7): 2061. CrossRef
The lipid accumulation product as a useful index for identifying abnormal glucose regulation in young Korean women
J.‐Y. Oh, Y.‐A. Sung, H. J. Lee
Diabetic Medicine.2013; 30(4): 436. CrossRef
Glycemic Effectiveness of Metformin-Based Dual-Combination Therapies with Sulphonylurea, Pioglitazone, or DPP4-Inhibitor in Drug-Naïve Korean Type 2 Diabetic Patients
Young Ki Lee, Sun Ok Song, Kwang Joon Kim, Yongin Cho, Younjeong Choi, Yujung Yun, Byung-Wan Lee, Eun-Seok Kang, Bong Soo Cha, Hyun Chul Lee
Diabetes & Metabolism Journal.2013; 37(6): 465. CrossRef
Clinical characteristics and insulin independence of Koreans with new‐onset type 2 diabetes presenting with diabetic ketoacidosis
H. Seok, C. H. Jung, S. W. Kim, M. J. Lee, W. J. Lee, J. H. Kim, B‐W. Lee
Diabetes/Metabolism Research and Reviews.2013; 29(6): 507. CrossRef
Prevalence of chronic kidney disease and prediabetes and associated risk factors: a community-based screening in Zhuhai, Southern China
Dong-feng GU, Yan-lin SHI, You-ming CHEN, Hong-mei LIU, Ya-nan DING, Xin-yu LIU, Yong-qiang LI, Xiao-fei SHAO, Yan LIANG, Ying-shan CHEN, Zhi-yong YUAN, He-qun ZOU
Chinese Medical Journal.2013; 126(7): 1213. CrossRef
Post-Renal Transplant Diabetes Mellitus in Korean Subjects: Superimposition of Transplant-Related Immunosuppressant Factors on Genetic and Type 2 Diabetic Risk Factors
Hyun Chul Lee
Diabetes & Metabolism Journal.2012; 36(3): 199. CrossRef
Hormonal Association and Sexual Dysfunction in Patients with Impaired Fasting Glucose: A Cross-Sectional and Longitudinal Study
Giovanni Corona, Giulia Rastrelli, Giancarlo Balercia, Francesco Lotti, Alessandra Sforza, Matteo Monami, Gianni Forti, Edoardo Mannucci, Mario Maggi
The Journal of Sexual Medicine.2012; 9(6): 1669. CrossRef
Physical Activity among Veterans and Nonveterans with Diabetes
Erin D. Bouldin, Gayle E. Reiber
Journal of Aging Research.2012; 2012: 1. CrossRef
The ratio of glycated albumin to glycated haemoglobin correlates with insulin secretory function
Daham Kim, Kwang J. Kim, Ji H. Huh, Byung‐Wan Lee, Eun S. Kang, Bong S. Cha, Hyun C. Lee
Clinical Endocrinology.2012; 77(5): 679. CrossRef
Higher Morning to Evening Ratio in Total Dose of Twice-Daily Biphasic Insulin Analog Might Be Effective in Achieving Glucose Control in Patients with Poorly Controlled Type 2 Diabetes
Yong-Ho Lee, Byung-Wan Lee, Hea Jin Kwon, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Diabetes Technology & Therapeutics.2012; 14(6): 508. CrossRef
Human Monoclonal Antibodies against Glucagon Receptor Improve Glucose Homeostasis by Suppression of Hepatic Glucose Output in Diet-Induced Obese Mice
Wook-Dong Kim, Yong-ho Lee, Min-Hee Kim, Sun-Young Jung, Woo-Chan Son, Seon-Joo Yoon, Byung-Wan Lee, Nigel Irwin
PLoS ONE.2012; 7(12): e50954. CrossRef
The Risk of Bladder Cancer in Korean Diabetic Subjects Treated with Pioglitazone
Sun Ok Song, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Diabetes & Metabolism Journal.2012; 36(5): 371. CrossRef
Korean Red Ginseng (Panax ginseng) Improves Insulin Sensitivity in High Fat Fed Sprague‐Dawley Rats
Seo Hee Lee, Hyun Joo Lee, Yong‐ho Lee, Byung‐Wan Lee, Bong Soo Cha, Eun Seok Kang, Chul Woo Ahn, Jong Sook Park, Hyo Jeong Kim, Eun Young Lee, Hyun Chul Lee
Phytotherapy Research.2012; 26(1): 142. CrossRef
Latent Autoimmune Diabetes in Adults: Autoimmune Diabetes in Adults with Slowly Progressive β-cell Failure
Hannah Seok, Byung Wan Lee
Diabetes & Metabolism Journal.2012; 36(2): 116. CrossRef

Original Article

Bone Mineral Density in Prediabetic Men: Ju Hee Lee, Yun Hyeong Lee, Kyoung Hye Jung, Min Kyeong Kim, Hye Won Jang, Tae Kyun Kim, Hyun Jin Kim, Young Suk Jo, Minho Shong, Tae Yong Lee, Bon Jeong Ku; Korean Diabetes J. 2010;34(5):294-302. Published online October 31, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.5.294

7,914 View
33 Download
14 Crossref

Abstract PDF PubReader ePub

Background

There are many studies regarding the effects of insulin on bone metabolism and changes in bone mineral density (BMD) in the setting of diabetes. The effect of prediabetes on BMD is not known.

Methods

A total of 802 men participated in the Korea Rural Genomic Cohort Study (in Geumsan County). According to the results of an oral glucose tolerance test, subjects were classified into normal, prediabetic, and diabetic categories. One hundred twenty-four subjects diagnosed with type 2 diabetes were excluded, leaving 678 subjects for the study inclusion. BMD was estimated with a quantitative ultrasonometer.

Results

The average BMD T scores of normal and prediabetic subjects were -1.34 ± 1.42 and -1.33 ± 1.30, respectively; there was no significant difference in the BMD T scores between these groups. The BMD T score was inversely associated with age and positively correlated with body weight, body mass index, total cholesterol, low density lipoprotein cholesterol, and HbA1c. On multiple linear regression analysis, low density lipoprotein cholesterol was the only statistically significant variable for prediabetes (β = 0.007, P = 0.005). On the stepwise regression analysis, age (β = -0.026, P < 0.001), the body mass index (β = 0.079, P < 0.001), and low density lipoprotein cholesterol (β = 0.004, P = 0.016) were significant variables for prediabetes.

Conclusions

There was no significant difference in the BMD T score between the normal and prediabetic subjects. Further studies are needed regarding the association of fracture risk and changes in BMD with the development of overt diabetes.

Citations

Citations to this article as recorded by

Exploring the link between osteosarcopenia and osteoarthritis in prediabetic adults using NHANES data
Shanbin Zheng, Liansheng Shao, Jiaqing Zhu, Jiahao Sun, Zhiyuan Chen, Xun Cao, Chao Zhang, TianWei Xia, Jirong Shen
Scientific Reports.2025;[Epub] CrossRef
More Rapid Bone Mineral Density Loss in Older Men With Diabetes: The Osteoporotic Fractures in Men (MrOS) Study
Flavia Tramontana, Nicola Napoli, Stephanie Litwack-Harrison, Douglas C Bauer, Eric S Orwoll, Jane A Cauley, Elsa S Strotmeyer, Ann V Schwartz
The Journal of Clinical Endocrinology & Metabolism.2024; 109(12): e2283. CrossRef
Scientometric analysis of global publications on prediabetes and osteoporosis: 1994–2023
Raju Vaishya, Brij Mohan Gupta, Ghouse Modin Nabeesab Mamdapur, Anoop Misra, Abhishek Vaish
Journal of Clinical Orthopaedics and Trauma.2024; 54: 102493. CrossRef
Prediabetes and skeletal health
Catherine Lindsay, Albert Shieh
Current Opinion in Endocrinology, Diabetes & Obesity.2023; 30(4): 200. CrossRef
Serum levels of sclerostin in prediabetes and its correlation with bone mineral density
Ajay Chauhan, Manoj Kumar Bhakhar, Parul Goyal
Journal of Family Medicine and Primary Care.2023; 12(11): 2702. CrossRef
The risk of hip fractures in individuals over 50 years old with prediabetes and type 2 diabetes – A longitudinal nationwide population-based study
Ho Youn Park, Kyoungdo Han, Youngwoo Kim, Yoon Hwan Kim, Yoo Joon Sur
Bone.2021; 142: 115691. CrossRef
Bone health in diabetes and prediabetes
Silvia Costantini, Caterina Conte
World Journal of Diabetes.2019; 10(8): 421. CrossRef
Bone mineral density in obese children with prediabetes
Ala ÜSTYOL, Mehmet Emre ATABEK
Ege Tıp Dergisi.2018; 57(2): 94. CrossRef
The Prevalence of Osteopenia and Osteoporosis Among Malaysian Type 2 Diabetic Patients Using Quantitative Ultrasound Densitometer
Shaymaa Abdalwahed Abdulameer, Mohanad Naji Sahib, Syed Azhar Syed Sulaiman
The Open Rheumatology Journal.2018; 12(1): 50. CrossRef
An association between bone mineral density and anabolic hormones in middle-aged and elderly men with prediabetes
Michał Rabijewski, Lucyna Papierska, Paweł Piątkiewicz
The Aging Male.2017; : 1. CrossRef
Amplification of transcutaneous and percutaneous bone-conduction devices with a test-band in an induced model of conductive hearing loss
Marn Joon Park, Jae Ryung Lee, Chan Joo Yang, Myung Hoon Yoo, In Suk Jin, Chi Ho Choi, Hong Ju Park
International Journal of Audiology.2016; 55(11): 653. CrossRef
Osteoporosis in Men with Diabetes Mellitus
Claire Issa, Mira S. Zantout, Sami T. Azar
Journal of Osteoporosis.2011; 2011: 1. CrossRef
Response: Bone Mineral Density in Prediabetic Men (Korean Diabetes J 2010;34:294-302)
Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku
Korean Diabetes Journal.2010; 34(6): 386. CrossRef
Letter: Bone Mineral Density in Prediabetic Men (Korean Diabetes J 2010;34:294-302)
Chul-Hee Kim
Korean Diabetes Journal.2010; 34(6): 384. CrossRef

First
Prev
Page of 1
Next
Last

Search