Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
32 "Cholesterol"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Metabolic Risk/Epidemiology
Article image
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
Received April 8, 2025  Accepted June 27, 2025  Published online October 2, 2025  
DOI: https://doi.org/10.4093/dmj.2025.0305    [Epub ahead of print]
  • 6,005 View
  • 193 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   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
Pathophysiology
Article image
Enavogliflozin, an SGLT2 Inhibitor, Improves Nonalcoholic Steatohepatitis Induced by High-Fat, High-Cholesterol Diet
Phuc Thi Minh Pham, Giang Nguyen, So Young Park, Thuy Linh Lai, Dae-Hee Choi, Jeana Hong, Seon Mee Kang, Eun-Hee Cho
Diabetes Metab J. 2026;50(1):165-177.   Published online June 16, 2025
DOI: https://doi.org/10.4093/dmj.2024.0259
  • 3,479 View
  • 128 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Nonalcoholic fatty liver disease, a progressive condition caused by the accumulation of fat in the liver, begins with simple steatosis and can potentially progress to metabolic dysfunction-associated steatohepatitis (MASH) in the presence of inflammation and fibrosis, ultimately leading to cirrhosis or hepatocellular carcinoma. Increasing evidence indicates that sodiumglucose cotransporter 2 (SGLT2) inhibitors effectively alleviate MASH in mouse models. However, there is a lack of research on the effects of enavogliflozin on liver disease. In the present study, we investigated the effects of SGLT2 inhibitors on MASH induced by a high-fat, high-cholesterol (HFHC) diet in mice.
Methods
Male C57BL/6 mice were fed a normal chow diet, HFHC diet, or HFHC diet with enavogliflozin for 12 weeks. LX-2 and HepG2 cells were treated with enavogliflozin in the presence of various pathological stimuli.
Results
The HFHC diet induced excessive hepatic lipid accumulation, inflammation, and severe fibrosis. Administration of enavogliflozin not only ameliorated hepatic steatosis and fibrotic conditions but also suppressed the production of inflammatory cytokines. Positive outcomes were also observed in in vitro experiments, where enavogliflozin demonstrated the ability to impede the activation of hepatic stellate cells and alleviate lipid accumulation in hepatocytes. The potential pathway through which enavogliflozin attenuated liver fibrosis development may be associated with the transforming growth factor β1/Smad signaling pathway.
Conclusion
Our results suggest that enavogliflozin is effective in a mouse model of MASH by attenuating hepatic steatosis, suppressing inflammation, and improving liver fibrosis.

Citations

Citations to this article as recorded by  
  • Signaling Pathway Remodeling and Molecular Regulation in the HCC TME: Dynamic Evolution and Clinical Therapeutic Advances
    Lin Xu, Xuanhao Zhang, Hengzhou Zhu, Dong Niu, Xiaodan Zhu, Chunhui Jin
    Frontiers in Bioscience-Landmark.2026;[Epub]     CrossRef
  • SGLT2 Inhibitors as Systemic Metabolic Modulators: Linking Glucose Excretion to Liver Function Restoration
    Seung Wan Noh, Han Sol Ryu, Yong-Ho Kim, Byung-Chul Oh
    Endocrinology and Metabolism.2025; 40(6): 851.     CrossRef
Complications
Article image
The Causal Relationship and Association between Biomarkers, Dietary Intake, and Diabetic Retinopathy: Insights from Mendelian Randomization and Cross-Sectional Study
Xuehao Cui, Dejia Wen, Jishan Xiao, Xiaorong Li
Diabetes Metab J. 2025;49(5):1087-1105.   Published online March 31, 2025
DOI: https://doi.org/10.4093/dmj.2024.0731
  • 6,217 View
  • 348 Download
  • 5 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Diabetic retinopathy (DR) is a major cause of vision loss, linked to hyperglycemia, oxidative stress, and inflammation. Despite advancements in DR treatments, approximately 40% of patients do not respond effectively, underscoring the need for novel, noninvasive biomarkers to predict DR risk and progression. This study investigates causal relationships between specific biomarkers, dietary factors, and DR development using Mendelian randomization (MR) and cross-sectional data.
Methods
We conducted a two-phase analysis combining MR and cross-sectional methods. First, MR analysis examined causal associations between 35 biomarkers, 226 dietary factors, and DR progression using data from the UK Biobank and Genome-Wide Association Study (GWAS) datasets. Second, a cross-sectional study with National Health and Nutrition Examination Survey (NHANES) and a clinical cohort from Tianjin Medical University Eye Hospital validated findings and explored biomarkers’ predictive capabilities through a nomogram-based prediction model.
Results
MR analysis identified eight biomarkers (e.g., glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C]) with significant causal links to DR. Inflammatory markers and metabolic factors, such as high glucose and HDL-C levels, were strongly associated with DR risk and progression. Specific dietary factors, like cheese intake, exhibited protective roles, while alcohol intake increased DR risk. Validation within NHANES and Tianjin cohorts supported these causal associations.
Conclusion
This study elucidates causal relationships between biomarkers, dietary habits, and DR progression, emphasizing the potential for personalized dietary interventions to prevent or manage DR. Findings support the use of HDL-C, HbA1c, and dietary factors as biomarkers or therapeutics in DR, though further studies are needed for broader applicability.

Citations

Citations to this article as recorded by  
  • Exploring potential therapeutic targets for myopia: Causal analysis and biological annotation with gut microbiota
    Zixun Wang, Yimeng Sun, Xiaoling Zhang, Luqiang Wang, Desheng Song, Jingtao Yu, Xiaoxue Hu, Weiping Lin, Ruihua Wei
    Computational Biology and Chemistry.2026; 120: 108634.     CrossRef
  • Research Status of Diabetic Retinopathy Prediction Models: From Traditional Risk Factors to Artificial Intelligence
    银娟 李
    Journal of Clinical Personalized Medicine.2026; 05(01): 332.     CrossRef
  • Integrative Proteogenomic Analysis Identifies Genetically Supported Plasma Proteins, Metabolites, and Pathways in Glaucoma
    Jiajia Yuan, Xuehao Cui, Patrick Yu-Wai-Man, Xuan Xiao
    Investigative Ophthalmology & Visual Science.2026; 67(2): 21.     CrossRef
  • Antioxidant vitamin index and risk of age-related macular degeneration: multicenter validation and clinical translation
    Xuehao Cui, Jingwen Hui, Zheya Han, Quanhong Han
    npj Aging.2026;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and retinopathy among American adults: a cross-sectional study and mediation analysis
    Junmeng Li, Qianshuo Yin, Jianchen Hao, Ruilin Zhu, Jing Zhang, Yadi Zhang, Xiaopeng Gu, Zihui Wu, Liu Yang
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses
    Zhang Shengnan, Wang Tao, Zhang Yanan, Sun Chao
    Nutrition & Metabolism.2025;[Epub]     CrossRef
  • Association between endothelial activation and stress index and diabetic retinopathy in patients with diabetic kidney disease: a cross-sectional study based on NHANES database
    Jinping Liu, Di’en Yan, Xiaohui Wang, Yinhua Yao, Ling Wang
    BMC Endocrine Disorders.2025;[Epub]     CrossRef
  • Hypertriglyceridemic waist phenotype in relation to diabetes mellitus and cardiovascular diseases in the Indonesian and Korean populations: evidence from two national surveys
    Fathimah S. Sigit, Sinyoung Cho, Farid Kurniawan, Hye-Ryeong Jeon, Ratu Ayu Dewi Sartika, Dicky L. Tahapary, Hyuktae Kwon
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
  • Non-linear association between Life’s Essential 8 and diabetic retinopathy: mediating role of depression in US adults with diabetes
    Long Xie, Yu Qin Peng, Wei Qiang Wei, Xiang Shen
    BMC Public Health.2025;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Different Associations between Lipid Levels and Risk for Heart Failure according to Diabetes Progression
Seung-Hwan Lee, Kyu Na Lee, Jong-Chan Youn, Hun Sung Kim, Kyungdo Han, Mee Kyoung Kim
Diabetes Metab J. 2025;49(1):105-116.   Published online August 28, 2024
DOI: https://doi.org/10.4093/dmj.2024.0066
  • 5,972 View
  • 188 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The relationship between circulating lipid levels and the risk for heart failure (HF) is controversial. We aimed to examine this association, and whether it is modified by the duration of diabetes or treatment regimens in people with type 2 diabetes mellitus.
Methods
Individuals (n=2,439,978) who underwent health examinations in 2015 to 2016 were identified from the Korean National Health Information Database. Subjects were categorized according to the duration of diabetes (new-onset, <5, 5–10, or ≥10 years) and number of antidiabetic medications. Incident HF was defined according to the International Classification of Diseases, 10th Revision (ICD-10) code I50 as the primary diagnosis during hospitalization. The risk for HF was estimated using multivariate Cox proportional hazard analysis.
Results
During a median follow-up of 4.0 years, 151,624 cases of HF occurred. An inverse association between low-density lipoprotein cholesterol (LDL-C) levels and incident HF was observed in the new-onset diabetes group, with an approximately 25% lower risk in those with LDL-C levels of 100–129, 130–159, and ≥160 mg/dL, compared to those with levels <70 mg/dL. However, J-shaped associations were noted in the long-standing diabetes group, with a 16% higher risk in those with LDL-C level ≥160 mg/dL, compared to those with levels <70 mg/dL. Similar patterns were observed in the relationship between total cholesterol or non-high-density lipoprotein cholesterol and the risk for HF, and when subjects were grouped according to the number of antidiabetic medications instead of diabetes duration.
Conclusion
Different associations between lipid levels and the risk for HF were noted according to disease progression status among individuals with diabetes.

Citations

Citations to this article as recorded by  
  • J-shaped association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and heart failure: a cross-sectional study
    Ping Lv, Chenze Zhao, Yu Shan
    European Journal of Medical Research.2026;[Epub]     CrossRef
  • Remnant cholesterol inflammatory index, calculated from residual cholesterol to C-reactive protein ratio, and stroke outcomes: a retrospective study using the National institutes of health stroke scale and modified Rankin scale
    Yanmei Yu, Yiming Zhang, Chunyan Zhu, Tingting Duan, Zichen Rao
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Association of outcome with non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio in hospitalized patients with congestive heart failure: a retrospective analysis
    Lina Yu, Lianhong Xie
    Journal of Cardiothoracic Surgery.2025;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2023;47(6):837-845.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0217
  • 6,682 View
  • 239 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
A substantial cardiovascular disease risk remains even after optimal statin therapy. Comparative predictiveness of major lipid and lipoprotein parameters for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) who are treated with statins is not well documented.
Methods
From the Korean Nationwide Cohort, 11,900 patients with T2DM (≥40 years of age) without a history of cardiovascular disease and receiving moderate- or high-intensity statins were included. The primary outcome was the first occurrence of major adverse cardiovascular events (MACE) including ischemic heart disease, ischemic stroke, and cardiovascular death. The risk of MACE was estimated according to on-statin levels of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), highdensity lipoprotein cholesterol (HDL-C), and non-HDL-C.
Results
MACE occurred in 712 patients during a median follow-up period of 37.9 months (interquartile range, 21.7 to 54.9). Among patients achieving LDL-C levels less than 100 mg/dL, the hazard ratios for MACE per 1-standard deviation change in ontreatment values were 1.25 (95% confidence interval [CI], 1.07 to 1.47) for LDL-C, 1.31 (95% CI, 1.09 to 1.57) for non-HDL-C, 1.05 (95% CI, 0.91 to 1.21) for TG, and 1.16 (95% CI, 0.98 to 1.37) for HDL-C, after adjusting for potential confounders and lipid parameters mutually. The predictive ability of on-statin LDL-C and non-HDL-C for MACE was prominent in patients at high cardiovascular risk or those with LDL-C ≥70 mg/dL.
Conclusion
On-statin LDL-C and non-HDL-C levels are better predictors of the first cardiovascular event than TG or HDL-C in patients with T2DM.

Citations

Citations to this article as recorded by  
  • 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
  • Managing dyslipidemia in chronic kidney disease: a comprehensive overview of evidence and recommendations
    Ji Yoon Kim, Suk Min Chung, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2025; 40(6): 876.     CrossRef
Guideline/Fact Sheet
Article image
Dyslipidemia Fact Sheet in South Korea, 2022
Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong, on Behalf of the Committee of Public Relation of the Korean Society of Lipid and Atherosclerosis
Diabetes Metab J. 2023;47(5):632-642.   Published online August 2, 2023
DOI: https://doi.org/10.4093/dmj.2023.0135
  • 21,996 View
  • 582 Download
  • 62 Web of Science
  • 45 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the prevalence and status of dyslipidemia management among South Korean adults, as performed by the Korean Society of Lipid and Atherosclerosis under the name Dyslipidemia Fact Sheet 2022.
Methods
We analyzed the lipid profiles, age-standardized and crude prevalence, management status of hypercholesterolemia and dyslipidemia, and health behaviors among Korean adults aged ≥20 years, using the Korea National Health and Nutrition Examination Survey data between 2007 and 2020.
Results
In South Korea, the crude prevalence of hypercholesterolemia (total cholesterol ≥240 mg/dL or use of a lipid-lowering drug) in 2020 was 24%, and the age-standardized prevalence of hypercholesterolemia more than doubled from 2007 to 2020. The crude treatment rate was 55.2%, and the control rate was 47.7%. The crude prevalence of dyslipidemia—more than one out of three conditions (low-density lipoprotein cholesterol ≥160 or the use of a lipid-lowering drug, triglycerides ≥200, or high-density lipoprotein cholesterol [HDL-C] [men and women] <40 mg/dL)—was 40.2% between 2016 and 2020. However, it increased to 48.2% when the definition of hypo-HDL-cholesterolemia in women changed from <40 to <50 mg/dL.
Conclusion
Although the prevalence of hypercholesterolemia and dyslipidemia has steadily increased in South Korea, the treatment rate remains low. Therefore, continuous efforts are needed to manage dyslipidemia through cooperation between the national healthcare system, patients, and healthcare providers.

Citations

Citations to this article as recorded by  
  • Nationwide Trends and Future Projections of Diabetes and Diabetic Retinopathy Prevalence in Korea: Korean National Health and Nutrition Examination Survey Study
    Min Seok Kim, Seonghee Nam, Jeongwoo Lee, Se Joon Woo
    Journal of Korean Medical Science.2026;[Epub]     CrossRef
  • Novel metabolic syndrome subgroups and their association with cardiovascular outcomes: A data‐driven cluster analysis of the UK Biobank
    Yongin Cho, Hye‐Sun Park, Dae Hyung Lee, Young Ju Suh, Jong Ho Jhee, Jong Hyun Jhee, So Hun Kim
    Diabetes, Obesity and Metabolism.2026; 28(3): 2286.     CrossRef
  • Muscle quality correlates with hearing thresholds: a cross-sectional analysis
    Young-Jee Jeon, Ji Ho Lee, Byung Chul Kang, Joong Keun Kwon
    Frontiers in Aging.2026;[Epub]     CrossRef
  • Association Between Lipid-Lowering Drug Use and Sarcopenia: Analysis of the Korea National Health and Nutrition Examination Survey
    Ah-Reum Shin, Keun-Gyu Park, Sung-Woo Kim
    Journal of Lipid and Atherosclerosis.2026; 15(1): 151.     CrossRef
  • Impaired insulin secretion via the Wnt5a/β-catenin pathway contributes to diabetes development in pancreatic cancer
    Minyoung Lee, Ho Seon Park, Hyung Sun Kim, ARim Choi, Ji Hae Nahm, Beom Jin Lim, Jong Suk Park, Chul Woo Ahn, Younhee Ko, Dong Ki Lee, Dong Sup Yoon, Joon Seong Park, Shinae Kang
    Experimental & Molecular Medicine.2026; 58(1): 272.     CrossRef
  • Genetic Influence of CCDC63 Polymorphisms on Alcohol-Induced Dyslipidemia in a Korean Cohort
    Yu-Na Kim, Sung Won Lee, Hyun-Seok Jin, Sangwook Park
    International Journal of Molecular Sciences.2026; 27(5): 2134.     CrossRef
  • Recent trends of low-density lipoprotein cholesterol control and lipid-lowering therapy in patients with atherosclerotic cardiovascular disease in Taiwan: 2015–2020
    Tzu-Yang Chen, Yu-Chung Hsiao, Yen-Wen Wu, Tsung-Hsien Lin, Wayne Huey-Herng Sheu, Thung-Lip Lee, I-Chang Hsieh, Yi-Heng Li, Wei-Hsian Yin, Hung-I Yeh, Jaw-Wen Chen, Fang-Ju Lin, Chau-Chung Wu
    Journal of the Formosan Medical Association.2025; 124(5): 419.     CrossRef
  • Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database
    Kyung-Soo Kim, Bongseong Kim, Kyungdo Han
    Diabetes & Metabolism Journal.2025; 49(1): 13.     CrossRef
  • Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China
    Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Persistently Active Helicobacter pylori Infection Is Associated with the Development of Metabolic Dysfunction-Associated Steatotic Liver Disease
    Jun Young Kim, Byung Soo Kwan, Jung Hwan Cho, Hye In Kim, Nak Gyeong Ko, Mihyeon Jin, Ok Jae Lee
    Journal of Clinical Medicine.2025; 14(4): 1073.     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
  • Comparing non-alcoholic fatty liver disease indices in predicting the prevalence and incidence of metabolic syndrome in middle-aged adults
    Byung Sik Kim, Hyun-Jin Kim, Seong Won Jeon, Kyung Hwan Kim, Dong Wook Kim, Jeong-Hun Shin
    Heliyon.2025; 11(7): e43073.     CrossRef
  • Current Status of Development of Oral Formulations Combining Omega-3 Fatty Acids and Statin Ingredients and Prospects for New Formulations
    Ji-Hun Jang, Seung-Hyun Jeong
    Journal of Pharmaceutical Innovation.2025;[Epub]     CrossRef
  • A Scoring Model Using Multi-Metabolites Based on Untargeted Metabolomics for Assessing Dyslipidemia in Korean Individuals with Obesity
    Su-Geun Yang, Hye Jin Yoo
    Metabolites.2025; 15(4): 279.     CrossRef
  • Addressing Cardiovascular Diseases Challenges in South Korea: Strategies to Improve Outcomes
    Hyun-Jae Kang, JuMee Wang, Eun Joo Cho, Hack- Lyoung Kim, Chan Joo Lee, Jae Hyoung Park, Jeehoon Kang, Jon Suh, Ki Hong Choi, Seung-Yul Lee, Jong-Il Choi, Il-young Oh, Ungjeong Do, Seung Young Roh, Sang-Ho Jo, Jin Wi, Dae-Hwan Bae, Mi-Hyang Jung, Chan Seo
    Korean Circulation Journal.2025; 55(7): 557.     CrossRef
  • Exposure to polycyclic aromatic hydrocarbons, heavy metals, and per- and polyfluoroalkyl substances and their associations with serum lipid profiles in the general Korean adult population
    Sanghee Shin, Youlim Kim, Yunsoo Choe, Su Hwan Kim, Jaelim Cho, Changsoo Kim, Kyoung-Nam Kim
    Environmental Health.2025;[Epub]     CrossRef
  • Relative Grip Strength and Muscle-Strengthening Activity: Independent and Joint Associations with Type 2 Diabetes Mellitus
    Yunmin Han, Yeon Soo Kim
    Journal of Obesity & Metabolic Syndrome.2025; 34(2): 148.     CrossRef
  • Comparative Effectiveness and Safety of Moderate-Intensity Pravastatin Versus Atorvastatin in Patients with Dyslipidemia: A Retrospective Cohort Study Using a Common Data Model of Multicenter Electronic Health Records in South Korea
    Sung Wan Chun, Hae Jin Kim, Ji A Seo, Suk Chon, Sung Eun Kim, Jung Hwa Jung, Sang Soo Kim, Hyejin Lee, Sanghoon Shin, So Hun Kim, Dughyun Choi, Hyeong Kyu Park, Soo-Kyung Kim, Ji-Hwan Bae, In-Kyung Jeong
    Journal of Atherosclerosis and Thrombosis.2025; 32(10): 1268.     CrossRef
  • National trends in dyslipidemia prevalence, awareness, treatment, and control in South Korea from 2005 to 2022
    Hyeseung Lee, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Jiseung Kang, Selin Woo, Sunyoung Kim, Sang Youl Rhee, Jiyoung Hwang, Lee Smith, Dong Keon Yon
    Scientific Reports.2025;[Epub]     CrossRef
  • Sex‐ and age‐specific determinants of diabetes: Insights from BKMR and cox modelling of metabolic and lifestyle risk factors in a Korean cohort
    Hye Ah Lee
    Diabetes, Obesity and Metabolism.2025; 27(9): 5247.     CrossRef
  • Efficacy and safety of lobeglitazone added to metformin and sitagliptin combination therapy in patients with type 2 diabetes: A 52‐week, multicentre, randomized, placebo‐controlled, phase III clinical trial
    Eun‐Gyoung Hong, Kyung‐Wan Min, SungWan Chun, Choon Hee Chung, Seungjoon Oh, Chang Beom Lee, Dong‐Jun Kim, Hye Soon Kim, Ji Oh Mok, Tae Seo Sohn, Jeong Hyun Park, Sung Hee Choi, Sungrae Kim, Sang Soo Kim, Kyu Yeon Hur, Chong Hwa Kim, Young Min Cho, Byung‐
    Diabetes, Obesity and Metabolism.2025; 27(10): 5727.     CrossRef
  • The impact of sleep health on cardiovascular and all-cause mortality in the general population
    Soo Jung Park, Jinsun Park, Byung Sik Kim, Jin-Kyu Park
    Scientific Reports.2025;[Epub]     CrossRef
  • Pharmacologic Potential of Statins in Cancer Prevention: Colo-Rectal Cancer Risk in Dyslipidemic Patients from a Korean Nationwide Cohort
    Ho Suk Kang, Joo-Hee Kim, Heejin Kim, Joong Seob Lee, Hyo Geun Choi, Dae Myoung Yoo, Kyeong Min Han, Nan Young Kim, Kyueng-Whan Min, Mi Jung Kwon
    Pharmaceuticals.2025; 18(8): 1236.     CrossRef
  • A genome-wide study on gene–nutrient interactions for hyperuricemia in a large Korean cohort (KoGES)
    Ehn-Young Kim, Ja-Eun Choi, Ji-Won Lee, Jae-Min Park, Youhyun Song, Yu-Jin Kwon, Kyung-Won Hong
    Scientific Reports.2025;[Epub]     CrossRef
  • Safety and Effectiveness of Pravastatin in Korean Patients with Dyslipidemia Based on the Cardiovascular Risk Classification: Pooled Analysis of Four Observational Studies
    In-Kyung Jeong, Hyuk-Sang Kwon, Dae Jung Kim, Sin Gon Kim
    Endocrinology and Metabolism.2025; 40(4): 598.     CrossRef
  • Prevalence and Factors Associated with Dyslipidemia Among Older Adults in Korea
    Do-Youn Lee
    Journal of The Korean Society of Physical Medicine.2025; 20(3): 121.     CrossRef
  • Associations of body mass index, waist circumference, and weight-adjusted waist index with body composition and biomarkers: a multinational pooled analysis
    Jin Eui Kim, Dahyun Park, Dong Hoon Lee, Garam Jo, Madison Kindred, Jason Jaggers, Xuemei Sui, Ryan Porter, Chibueze Ogbonnaya, Mark Hamer, Vivek Prasad, Min-Jeong Shin, Edward Giovannucci, Hannah Oh
    The American Journal of Clinical Nutrition.2025; 122(5): 1432.     CrossRef
  • Risk of Sarcopenic Obesity Across Menopausal Transition Stages in Middle-Aged Korean Women
    Yoosun Cho, Yoonyoung Jang, Jae Ho Park, Yoosoo Chang, Seungho Ryu
    Nutrients.2025; 17(20): 3238.     CrossRef
  • Trends in Prevalence of Obesity and Related Cardiometabolic and Renal Complications in Korea: A Nationwide Study 2007 to 2022
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Jangho Lee, Yong-ho Lee
    Journal of Obesity & Metabolic Syndrome.2025; 34(4): 414.     CrossRef
  • Present and Future of Cardiovascular Diseases in Korea: Prevention, Management, and Policy Recommendations
    JuMee Wang, Hyun-Jae Kang, Eun Joo Cho, Jae Hyoung Park, Jon Suh, Jong-Il Choi, Sang-Ho Jo, Chan Seok Park, Jang-Whan Bae
    The Korean Journal of Medicine.2025; 100(5): 201.     CrossRef
  • Association of Elevated Serum Triglycerides with Colorectal Cancer Risk: Findings from a Large-scale Prospective Cohort of Korean Adults
    Sukhong Min, Hyobin Lee, Sinyoung Cho, Seung-Yong Jeong, Aesun Shin, Daehee Kang
    Cancer Prevention Research.2025; 18(11): 681.     CrossRef
  • Causal effect of kimchi intake on HDL-cholesterol levels in middle aged Korean men: a two-sample Mendelian randomization analysis
    Jaehee Cha, Seong-Hee Ko, Dayeon Shin
    Genes & Nutrition.2025;[Epub]     CrossRef
  • Ten-Year Weight Regain after Bariatric Surgery: Prevalence, Predictors, and Metabolic Impact
    Sara Ribeiro, Patrícia Ferreira, Bruno Lima, Telma Moreno, Juliana Gonçalves, Helena Urbano Ferreira, Inês Meira, João Menino, Ana Rita Leite, Marta Borges-Canha, Maria Manuel Silva, Vanessa Guerreiro, Jorge Pedro, Ana Varela, Diana Festas Silva, Paula Fr
    Obesity Facts.2025; : 1.     CrossRef
  • Interactive effects of high-density lipoprotein cholesterol and insulin resistance on depression: results from the NHANES (2005–2018)
    Liang Rao, Jing Li, Xiaohua Xian, Yanyi Hu, Yin Xian
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Incidence and risk factors for idiopathic pulmonary fibrosis in individuals aged 75 years and older in an ultra-aging society
    Bo-Guen Kim, Kyungdo Han, Ju-Yeong Park, Bongseong Kim, Dong-Woo Han, Sung Jun Chung, Hyung Koo Kang, Sang-Heon Kim, Moo Suk Park, Jang Won Sohn, Ho Joo Yoon, Hyun Lee
    Therapeutic Advances in Respiratory Disease.2025;[Epub]     CrossRef
  • Age-related trajectories of blood lipids and lipoproteins by sex, region, and waist circumference changes in Korea: a longitudinal cohort study
    Mi Kyoung Son, Nam-Kyoo Lim, Joong-Yeon Lim, Hyun-Young Park
    Epidemiology and Health.2025; 47: e2025066.     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
  • Comparison of metabolic and neurological comorbidities in Asian patients with psoriasis and atopic dermatitis
    Hee Joo Yang, Mi Young Lee, Jeong Hyeon Lee, Chang Jin Jung, Woo Jin Lee, Chong Hyun Won, Mi Woo Lee, Joon Min Jung, Sung Eun Chang
    Scientific Reports.2024;[Epub]     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
  • Body Weight Variability and Risk of Suicide Mortality: A Nationwide Population-Based Study
    Jeongmin Lee, Jin-Hyung Jung, Dong Woo Kang, Min-Hee Kim, Dong-Jun Lim, Hyuk-Sang Kwon, Jung Min Lee, Sang-Ah Chang, Kyungdo Han, Seung-Hwan Lee, Fuquan Zhang
    Depression and Anxiety.2024; 2024: 1.     CrossRef
  • Association of atherosclerosis indices, serum uric acid to high‐density lipoprotein cholesterol ratio and triglycerides‐glucose index with hypertension: A gender‐disaggregated analysis
    Rana Kolahi Ahari, Toktam Sahranavard, Amin Mansoori, Zahra Fallahi, Negin Babaeepoor, Gordon Ferns, Majid Ghayour‐Mobarhan
    The Journal of Clinical Hypertension.2024; 26(6): 645.     CrossRef
  • A Machine Learning Approach to Identify of Dyslipidemia based on Body Composition Indices in Men
    Mi Hong Yim, Sanghun Lee
    The Journal of Korean Institute of Information Technology.2024; 22(6): 153.     CrossRef
  • Association of aerobic and muscle-strengthening physical activity with chronic kidney disease in participants with hypertension
    Yunmin Han, Younghwan Choi, Yeon Soo Kim
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factor
    Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong J
    Endocrinology and Metabolism.2024; 39(5): 722.     CrossRef
  • Exploring Utilization and Establishing Reference Intervals for the Apolipoprotein B Test in the Korean Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Diagnostics.2023; 13(20): 3194.     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong, on Behalf of the Committee of Practice Guideline of Korean Lipid and Atheroscelerosis
Diabetes Metab J. 2023;47(1):45-58.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2021.0344
  • 10,792 View
  • 370 Download
  • 9 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There are no clear data to support the cardiovascular (CV) risk categories and low-density lipoprotein cholesterol (LDL-C) treatment goals in Korean people with type 2 diabetes mellitus (T2DM). We evaluated the incidence of cardiovascular disease (CVD) according to comorbidities and suggested LDL-C treatment goals in Korean people with T2DM in nationwide cohort data.
Methods
Using the Korean National Health Insurance Service database, 248,002 people aged 30 to 90 years with T2DM who underwent routine health check-ups during 2009 were included. Subjects with previous CVD were excluded from the study. The primary outcome was incident CVD, defined as a composite of myocardial infarction and ischemic stroke during the follow-up period from 2009 to 2018.
Results
The mean age of the study participants was 59.6±10.9 years, and median follow-up period was 9.3 years. CVD incidence increased in the order of DM duration of 5 years or more (12.04/1,000 person-years), hypertension (HT) (12.27/1,000 personyears), three or more CV risk factors (14.10/1,000 person-years), and chronic kidney disease (18.28/1,000 person-years). The risk of incident CVD increased linearly from an LDL-C level of ≥70 mg/dL in most patients with T2DM. In T2DM patients without HT or with a DM duration of less than 5 years, the CVD incidence increased from LDL-C level of ≥100 mg/dL.
Conclusion
For primary prevention of CVD in Korean adults with T2DM, it can be helpful to lower LDL-C targets when there are chronic kidney disease, HT, a long duration of diabetes mellitus, or three or more CV risk factors.

Citations

Citations to this article as recorded by  
  • Clinical value of serum miR-214-3p expression in the diagnosis of type 2 diabetes mellitus and prediction of its chronic complications
    Meng Ding, Siyu Yang, Junli Li, Lie Ma, Cunyou Xiong, Jie Zhang
    BMC Endocrine Disorders.2025;[Epub]     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
  • 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
  • Heterogeneity in the development of diabetes-related complications: narrative review of the roles of ancestry and geographical determinants
    Andrea O. Y. Luk, Yingnan Fan, Baoqi Fan, Edith W. K. Chow, Tony C. K. O
    Diabetologia.2025; 68(11): 2386.     CrossRef
  • Adherence-based experiences with a personalized self-care program for type 2 diabetes in South Korea: a mixed-methods study
    Haejung Lee, DaeEun Lee, Mihwan Kim
    Journal of Korean Biological Nursing Science.2025; 27(4): 706.     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
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
    Ji Yoon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 42.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     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
  • 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
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • Significant Gap Between Guidelines and Practice in the Management of LDL Cholesterol: Insight From the Survey of the Korean Society of Myocardial Infarction
    Sang Yeub Lee, Kyung Hoon Cho, Jang Hoon Lee, Young Joon Hong, Jin yong Hwang, Myung Ho Jeong, Weon Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Association between Low-Density Lipoprotein Cholesterol Level and Cardiovascular Outcomes in Korean Adults: A Nationwide Cohort Study
Junghyun Noh, Min Kyong Moon, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong, on Behalf of the Committee of Practice Guideline of Korean Lipid and Atheroscelerosis
Diabetes Metab J. 2023;47(1):59-71.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2021.0320
  • 10,153 View
  • 333 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To validate the treatment target of low-density lipoprotein cholesterol (LDL-C) level according to the cardiovascular disease (CVD) risk which was recommended by Korean dyslipidemia guideline.
Methods
We used the Korean National Health Insurance Service database which included 3,958,048 people aged 20 to 89 years who underwent regular health screening. The primary outcome was incident CVD, defined as a composite of myocardial infarction and stroke during the follow-up period from 2009 to 2018.
Results
The risk of CVD increased from LDL-C level of 70 mg/dL in very high-risk and high-risk groups and from 130 mg/dL in moderate-risk and low-risk groups. Adjusted hazard ratios (HRs) of LDL-C ranges 70–99, 100–129, 130–159, 160–189, and ≥190 mg/dL were 1.20 (95% confidence interval [CI], 1.08–1.33), 1.27 (1.15–1.42), 1.39 (1.23–1.56), 1.69 (1.45–1.96), and 1.84 (1.49– 2.27) in very high-risk group, and 1.07 (1.02–1.13), 1.16 (1.10–1.21), 1.29 (1.22–1.36), 1.45 (1.36–1.55), and 1.73 (1.58–1.90) in high-risk group. Adjusted HRs (95% CI) of LDL-C ranges 130–159, 160–189, and ≥190 mg/dL were 1.15 (1.11–1.20), 1.28 (1.22– 1.34), and 1.45 (1.36–1.54) in moderate-risk group and 1.07 (1.02–1.13), 1.20 (1.13–1.26), and 1.47 (1.37–1.57) in low-risk group.
Conclusion
We confirmed the incidence of CVD was increased in higher LDL-C range. The risk of CVD increased from ≥70 mg/dL of LDL-C in very high-risk and high-risk groups, and from ≥130 mg/dL of LDL-C in moderate-risk and low-risk groups in Korean adults.

Citations

Citations to this article as recorded by  
  • A dual-signal electrochemical aptasensor based on rGO@MoS2-Fc nanozyme for sensitive detection of low-density lipoprotein
    Zhide Zhou, Haimei Li, Xiaohua Deng, Yuxuan Shi, Jiahang Huang, Yu Zhou, Xiaohong Tan, Jintao Liang, Guiyin Li
    Bioelectrochemistry.2026; 169: 109206.     CrossRef
  • Colorimetric aptasensors for sensitive low-density lipoprotein detection based on reduced oxide graphene@molybdenum disulfide-ferrocene nanosheets with peroxidase-like activity
    Guiyin Li, Tingting Yu, Haimei Li, Bingbing Wan, Xiaohong Tan, Xueqing Zhou, Jintao Liang, Zhide Zhou
    Analytical Methods.2025; 17(1): 136.     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
  • Efficacy and Safety of a Single-Pill Triple Combination of Olmesartan, Amlodipine, and Rosuvastatin in Hypertensive Patients with Low-to-Moderate Cardiovascular Risk: A Multicenter, Randomized, Open-Label, Active-Control, Phase IV Clinical Trial
    Byung Jin Kim, Kwang Soo Cha, Wook Hyun Cho, Eung Ju Kim, Seung-Hyuk Choi, Moo Hyun Kim, Sang-Hyun Kim, Jun-Bean Park, Seong-Mi Park, Il Suk Sohn, Kyu Hyung Ryu, In-Ho Chae
    Journal of Cardiovascular Pharmacology and Therapeutics.2023;[Epub]     CrossRef
Review
Guideline/Fact Sheet
Article image
Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon, on Behalf of Committee of Clinical Practice Guideline, Korean Diabetes Association and Clinical Practice Guideline Committee, Korean Society of Lipid and Atherosclerosis
Diabetes Metab J. 2023;47(1):1-9.   Published online January 20, 2023
DOI: https://doi.org/10.4093/dmj.2022.0448
  • 10,609 View
  • 478 Download
  • 29 Web of Science
  • 19 Crossref
AbstractAbstract PDFPubReader   ePub   
Dyslipidemia in patients with diabetes is an important treatment target as a modifiable risk factor for cardiovascular disease (CVD). Although the primary treatment goal for dyslipidemia is to control low-density lipoprotein cholesterol (LDL-C), achieving this goal remains suboptimal according to recent studies. It is important to set the target goal for LDL-C control based on an accurate risk assessment for CVD. Here, we summarize the latest evidence on lipid management in patients with diabetes and present a consensus of the Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis on the treatment goals of LDL-C according to the duration of diabetes, presence of CVD, target organ damage, or major cardiovascular risk factors. In patients with type 2 diabetes mellitus (T2DM) and CVD, an LDL-C goal of <55 mg/dL and a reduction in LDL-C level by 50% or more from the baseline is recommended. For the primary prevention of CVD in patients with T2DM with a duration of diabetes ≥10 years, major cardiovascular risk factors, or target organ damage, an LDL-C goal of <70 mg/dL is recommended. In patients with T2DM with a duration of diabetes <10 years and no major cardiovascular risk factors, an LDL-C goal of <100 mg/dL is recommended.

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
  • Impact of Remnant Cholesterol on the Risk for End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort Study (Diabetes Metab J 2025;49:1106-15)
    Eun Roh, Ji Hye Heo, Kyung-Do Han, Jun Goo Kang
    Diabetes & Metabolism Journal.2026; 50(1): 203.     CrossRef
  • Are lipid-lowering therapies used according to the guidelines?: A real-world retrospective study of 1001 patients with type 2 diabetes
    Muhammet Fatih Şahin, Ali Erol, Gökhan Bayrak, Ali Şahin
    Medicine.2026; 105(4): e47360.     CrossRef
  • Atherosclerotic Cardiovascular Disease Risk Prediction Models in China, Japan, and Korea
    Patricia K. Nguyen, Dong Zhao, Tomonori Okamura, Hyeon Chang Kim, Nathan D. Wong, Eugene Yang
    JACC: Asia.2025; 5(3): 333.     CrossRef
  • The Impact of Ketogenic Capacity on Lipid Profile in Individuals with Prediabetes or Newly Diagnosed Type 2 Diabetes
    Jaehyun Bae, Minyoung Lee, Yong-ho Lee, Sang-Guk Lee, Byung-Wan Lee
    International Journal of Molecular Sciences.2025; 26(17): 8566.     CrossRef
  • 2025 Clinical Practice Guidelines for Diabetes: Cardiovascular Risk Management
    Hae Jin Kim
    The Journal of Korean Diabetes.2025; 26(3): 164.     CrossRef
  • Managing dyslipidemia in chronic kidney disease: a comprehensive overview of evidence and recommendations
    Ji Yoon Kim, Suk Min Chung, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2025; 40(6): 876.     CrossRef
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • Clinical Characteristics of Patients With Statin Discontinuation in Korea: A Nationwide Population-Based Study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Journal of Lipid and Atherosclerosis.2024; 13(1): 41.     CrossRef
  • Role of Fenofibrate Use in Dyslipidemia and Related Comorbidities in the Asian Population: A Narrative Review
    Chaicharn Deerochanawong, Sin Gon Kim, Yu-Cheng Chang
    Diabetes & Metabolism Journal.2024; 48(2): 184.     CrossRef
  • Fenofibrate’s impact on cardiovascular risk in patients with diabetes: a nationwide propensity-score matched cohort study
    Sangmo Hong, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The mediating effect of TyG and its derived indices in the association between OSAHS and atherosclerosis in patients with T2DM
    Ling Ding, Xiaohong Jiang
    Sleep and Breathing.2024; 28(6): 2469.     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
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(5): 632.     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 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
  • 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: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2023; 12(3): 237.     CrossRef
Original Article
Metabolic Risk/Epidemiology
Article image
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, Sungrae Kim
Diabetes Metab J. 2022;46(3):464-475.   Published online March 3, 2022
DOI: https://doi.org/10.4093/dmj.2021.0088
  • 14,512 View
  • 451 Download
  • 10 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated the achievement of low-density lipoprotein cholesterol (LDL-C) targets in patients with type 2 diabetes mellitus (T2DM) according to up-to-date Korean Diabetes Association (KDA), European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS), and American Diabetes Association (ADA) guidelines.
Methods
This retrospective cohort study collected electronic medical record data from patients with T2DM (≥20 years) managed by endocrinologists from 15 hospitals in Korea (January to December 2019). Patients were categorized according to guidelines to assess LDL-C target achievement. KDA (2019): Very High-I (atherosclerotic cardiovascular disease [ASCVD]) <70 mg/dL; Very High-II (target organ damage [TOD], or cardiovascular risk factors [CVRFs]) <70 mg/dL; high (others) <100 mg/dL. ESC/EAS (2019): Very High-I (ASCVD): <55 mg/dL; Very High-II (TOD or ≥3-CVRF) <55 mg/dL; high (diabetes ≥10 years without TOD plus any CVRF) <70 mg/dL; moderate (diabetes <10 years without CVRF) <100 mg/dL. ADA (2019): Very High-I (ASCVD); Very High-II (age ≥40+ TOD, or any CVRF), for high intensity statin or statin combined with ezetimibe.
Results
Among 2,000 T2DM patients (mean age 62.6 years; male 55.9%; mean glycosylated hemoglobin 7.2%) ASCVD prevalence was 24.7%. Of 1,455 (72.8%) patients treated with statins, 73.9% received monotherapy. According to KDA guidelines, LDL-C target achievement rates were 55.2% in Very High-I and 34.9% in Very High-II patients. With ESC/EAS guidelines, target attainment rates were 26.6% in Very High-I, 15.7% in Very High-II, and 25.9% in high risk patients. Based on ADA guidelines, most patients (78.9%) were very-high risk; however, only 15.5% received high-intensity statin or combination therapy.
Conclusion
According to current dyslipidemia management guidelines, LDL-C goal achievement remains suboptimal in Korean patients with T2DM.

Citations

Citations to this article as recorded by  
  • Lipid management in individuals with type 2 diabetes mellitus: Analysis of a hospital-based series
    João D. Martins, Débora Silveira, Henrique Pina, Inês Manique, Sílvia Guerra, Cristina Valadas
    Endocrinología, Diabetes y Nutrición.2026; 73(3): 501674.     CrossRef
  • Reshaping the cardiovascular continuum in the management of arterial and venous cardiovascular disease: a narrative review
    Khadija Hafidh, Melina Vega de Ceniga, Leonardo De Luca, Claudio Borghi
    Journal of Comparative Effectiveness Research.2026;[Epub]     CrossRef
  • ROsulord® sAfety for Patients with Dyslipidemia Study: A Non-interventional, Multicenter, Prospective, Observational Study in South Korea
    Do Young Kim, Sung Hea Kim, Eung-Ju Kim, Sang-Jin Han, Ji-Yeong Park, Jong-Chan Youn, Hee-Seok Kim, Ji-Eun Jeong, Kyu-Hyung Ryu
    Cardiology and Therapy.2025; 14(1): 17.     CrossRef
  • Diabetic Nephropathy: Pathogenesis, Mechanisms, and Therapeutic Strategies
    Shivangi Dwivedi, Mukesh Singh Sikarwar
    Hormone and Metabolic Research.2025; 57(01): 7.     CrossRef
  • Remnant Cholesterol Levels at Diagnosis May Predict Acute Coronary Syndrome Occurrence During Follow-Up in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis
    Hyunsue Do, Oh Chan Kwon, Jang Woo Ha, Jihye Chung, Yong-Beom Park, Ji Hye Huh, Sang-Won Lee
    Journal of Clinical Medicine.2025; 14(7): 2260.     CrossRef
  • Lipid Control in Patients With Type 2 Diabetes Mellitus: A Continuous Quality Improvement Study
    Andreia G Sousa, Daniela de Azevedo, Suzie Leandro, Marta S Ferreira, Tiago A Correia, Mariana Sá, Diana Capela
    Cureus.2025;[Epub]     CrossRef
  • Risk factor control and cardiovascular events in patients with type 2 diabetes mellitus
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee, Hidetaka Hamasaki
    PLOS ONE.2024; 19(2): e0299035.     CrossRef
  • Distinct effects of rosuvastatin and rosuvastatin/ezetimibe on senescence markers of CD8+ T cells in patients with type 2 diabetes mellitus: a randomized controlled trial
    Sang-Hyeon Ju, Joung Youl Lim, Minchul Song, Ji Min Kim, Yea Eun Kang, Hyon-Seung Yi, Kyong Hye Joung, Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Monitoring Global Progress in Core Diabetes Control Metrics: Protocol for a Systematic Review of Prevalence (2015–2023)
    John McCaffrey, Samira Barbara Jabakhanji, Roopa Mehta, Steven James, Maisoon Mairghani, Dominika Bhatia, Hazel Ní Chonchubhair, Killian Walsh, Barbara Clyne, Edward W. Gregg
    HRB Open Research.2024; 7: 27.     CrossRef
  • Real-world evidence evaluation of LDL-C in hospitalized patients: a population-based observational study in the timeframe 2021–2022
    Umberto Capece, Chiara Iacomini, Teresa Mezza, Alfredo Cesario, Carlotta Masciocchi, Stefano Patarnello, Andrea Giaccari, Nicoletta Di Giorgi
    Lipids in Health and Disease.2024;[Epub]     CrossRef
  • Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factor
    Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong J
    Endocrinology and Metabolism.2024; 39(5): 722.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • Association between carotid atherosclerosis and presence of intracranial atherosclerosis using three-dimensional high-resolution vessel wall magnetic resonance imaging in asymptomatic patients with type 2 diabetes
    Ji Eun Jun, You-Cheol Hwang, Kyu Jeong Ahn, Ho Yeon Chung, Geon-Ho Jahng, Soonchan Park, In-Kyung Jeong, Chang-Woo Ryu
    Diabetes Research and Clinical Practice.2022; 191: 110067.     CrossRef
Review
Cardiovascular Risk/Epidemiology
Article image
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park, Kyung Mook Choi
Diabetes Metab J. 2022;46(1):49-62.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0316
  • 12,007 View
  • 290 Download
  • 16 Web of Science
  • 21 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Despite strenuous efforts to reduce cardiovascular disease (CVD) risk by improving cardiometabolic risk factors, such as glucose and cholesterol levels, and blood pressure, there is still residual risk even in patients reaching treatment targets. Recently, researchers have begun to focus on the variability of metabolic variables to remove residual risks. Several clinical trials and cohort studies have reported a relationship between the variability of metabolic parameters and CVDs. Herein, we review the literature regarding the effect of metabolic factor variability and CVD risk, and describe possible mechanisms and potential treatment perspectives for reducing cardiometabolic risk factor variability.

Citations

Citations to this article as recorded by  
  • The association between visit-to-visit variability in risk factors and incident cardiovascular disease: a post hoc analysis of the Multi-Ethnic Study of Atherosclerosis
    Abderrahim Oulhaj, Abubaker Suliman, Malak Bentaleb, Mohammed Abdulrahman, Rachid Bentoumi, Stephen J Sharp, Harald Sourij
    American Journal of Epidemiology.2026; 195(2): 319.     CrossRef
  • Variability in Cardiometabolic Parameters and All-Cause and Cause-Specific Mortality in Older Adults: Evidence From 2 Prospective Cohorts
    Jian-Yun Lu, Rui Zhou, Jie-Qiang Huang, Qi Zhong, Yi-Ning Huang, Jia-Ru Hong, Ling-Bing Liu, Da-Xing Li, Xian-Bo Wu
    American Journal of Preventive Medicine.2025; 68(3): 588.     CrossRef
  • Effectiveness of continuous glucose monitoring systems on glycemic control in adults with type 1 diabetes: A systematic review and meta-analysis
    Salya F. Alfadli, Yazeed S. Alotaibi, Maha J. Aqdi, Latifah A. Almozan, Zahra B. Alzubaidi, Hammad A. Altemani, Shaden D. Almutairi, Hussain A. Alabdullah, Alaa Ahmed Almehmadi, Abdulrahman L. Alanzi, Ahmed Y. Azzam
    Metabolism Open.2025; 27: 100382.     CrossRef
  • The additive effect of the estimated glucose disposal rate and a body shape index on cardiovascular disease: A cross-sectional study
    Qinghua Wen, Xiaoyue Wang, Simin Li, Huanhuan Zhu, Fengyin Zhang, Chao Xue, Juan Li, Amin Mansoori
    PLOS One.2025; 20(8): e0331005.     CrossRef
  • A Clinical Review of the Connections Between Diabetes Mellitus, Periodontal Disease, and Cardiovascular Pathologies
    Otilia Țica, Ioana Romanul, Gabriela Ciavoi, Vlad Alin Pantea, Ioana Scrobota, Lucian Șipoș, Cristian Marius Daina, Ovidiu Țica
    Biomedicines.2025; 13(9): 2309.     CrossRef
  • Mobile application-based lifestyle intervention for improving glycemic control and body composition in manufacturing company employees in South Korea
    Dahyeon Koo, Yujin Bang, Dohoung Kim, Irang Im, Pumsoo Kim, Dougho Park
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
  • Employing an Artificial Intelligence Platform to Enhance Treatment Responses to GLP-1 Agonists by Utilizing Metabolic Variability Signatures Based on the Constrained Disorder Principle
    Jakob Landau, Yariv Tiram, Yaron Ilan
    Biomedicines.2025; 13(11): 2645.     CrossRef
  • Blood pressure variability: From predictive marker to intervention target-breaking the vicious cycle of hypertensive target organ damage
    Ruiqin Luo, Ying Huang, Yanjun Leng, Weiqian Liao
    Clinical and Experimental Hypertension.2025;[Epub]     CrossRef
  • Visit‑to‑visit variability of inflammation–immunity indices and prognosis in hepatocellular carcinoma
    Qiajun Du, Youli Zhao, Jing Yang, Yongxin Yang
    BMC Gastroenterology.2025;[Epub]     CrossRef
  • Cognitive Function in Children with Type 1 Diabetes: A Narrative Review
    Hussein Zaitoon, Maria S. Rayas, Jane L. Lynch
    Diabetology.2025; 7(1): 1.     CrossRef
  • 4-week results of “Linni Slim” synbiotic in patients with metabolic syndrome
    A. S. Rudoy, N. N. Silivinchik
    Experimental and Clinical Gastroenterology.2024; (3): 87.     CrossRef
  • Association between weight loss and cardiovascular outcomes and mortality in Korea: A nationwide cohort study
    So Yoon Kwon, Gyuri Kim, Seohyun Kim, Jae Hyeon Kim
    Diabetes Research and Clinical Practice.2024; 214: 111767.     CrossRef
  • Identifying Personal and Lifestyle Determinants Associated With Glycemic Variability Among Healthy Non-Diabetes Adults
    SuJin Song
    CardioMetabolic Syndrome Journal.2024; 4(2): 93.     CrossRef
  • Новий сучасний скринінговий комплекс профілактичної медицини
    M.S. Cherska, S.V. Kutsevlyak
    Endokrynologia.2024; 29(3): 207.     CrossRef
  • Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    BMC Medicine.2023;[Epub]     CrossRef
  • Dose–response relationship between physical activity and cardiometabolic risk in obese children and adolescents: A pre-post quasi-experimental study
    Zekai Chen, Lin Zhu
    Frontiers in Physiology.2023;[Epub]     CrossRef
  • Association of body weight change with all-cause and cause-specific mortality: A nationwide population-based study
    So Yoon Kwon, Gyuri Kim, Jungkuk Lee, Jiyun Park, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Diabetes Research and Clinical Practice.2023; 199: 110666.     CrossRef
  • Association between lipid variability and the risk of mortality in cancer patients not receiving lipid-lowering agents
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Association between visit-to-visit lipid variability and risk of ischemic heart disease: a cohort study in China
    Yonghao Wu, Peng Shen, Lisha Xu, Zongming Yang, Yexiang Sun, Luhua Yu, Zhanghang Zhu, Tiezheng Li, Dan Luo, Hongbo Lin, Liming Shui, Mengling Tang, Mingjuan Jin, Kun Chen, Jianbing Wang
    Endocrine.2023; 84(3): 914.     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
  • Long-Term Variability in Physiological Measures in Relation to Mortality and Epigenetic Aging: Prospective Studies in the US and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    SSRN Electronic Journal .2022;[Epub]     CrossRef
Original Articles
Cardiovascular Risk/Epidemiology
Article image
Mean and Variability of Lipid Measurements and Risk for Development of Subclinical Left Ventricular Diastolic Dysfunction
Jiyun Park, Mira Kang, Jiyeon Ahn, Min Young Kim, Min Sun Choi, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
Diabetes Metab J. 2022;46(2):286-296.   Published online November 22, 2021
DOI: https://doi.org/10.4093/dmj.2021.0080
  • 9,805 View
  • 240 Download
  • 5 Web of Science
  • 6 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Subclinical left ventricular diastolic dysfunction (LVDD) is an emerging consequence of increased insulin resistance, and dyslipidemia is one of the few correctable risk factors of LVDD. This study evaluated the role of mean and visit-to-visit variability of lipid measurements in risk of LVDD in a healthy population.
Methods
This was a 3.7-year (interquartile range, 2.1 to 4.9) longitudinal cohort study including 2,817 adults (median age 55 years) with left ventricular ejection fraction >50% who underwent an annual or biannual health screening between January 2008 and July 2016. The mean, standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein B (apoB), non-HDL-C, and triglycerides were obtained from three to six measurements during the 5 years preceding the first echocardiogram.
Results
Among the 2,817 patients, 560 (19.9%) developed LVDD. The mean of no component of lipid measurements was associated with risk of LVDD. CV (hazard ratio [HR], 1.35; 95% confidence interval [CI], 1.10 to 1.67), SD (HR, 1.27; 95% CI, 1.03 to 1.57), and VIM (HR, 1.26; 95% CI, 1.03 to 1.55) of LDL-C and all the variability parameters of apoB were significantly associated with development of LVDD. The association between CV-LDL and risk of LVDD did not have significant interaction with sex, increasing/decreasing trend at baseline, or use of stain and/or lipid-modifying agents.
Conclusion
The variability of LDL-C and apoB, rather than their mean, was associated with risk for LVDD.

Citations

Citations to this article as recorded by  
  • HDL-C variability linked to depression risk in older Chinese adults: Insights from observational and Mendelian randomization studies
    Zhi Jin, Qiang Luo, Xueqing Sun, Guangzhi Ge, Yihang Song, Yongfeng Shi
    Journal of Affective Disorders.2025; 388: 119610.     CrossRef
  • Association between HDL-C variability and the risk of chronic obstructive pulmonary disease in the middle- and older Chinese: a cohort study
    Ming Zhan, Shaofeng Zhang, Jiahui Wang, Xiaoqi Xiong, Zhouzhou Li, Qiang Xiao, Xinyu Song
    The Egyptian Journal of Bronchology.2025;[Epub]     CrossRef
  • Greater variability in HDL-C was associated with an increased risk of cognitive decline in the middle- and elderly Chinese: A cohort study
    Lili Luo, Wei Feng, Mei Mei, Xue Tian, Yuhan Zhao, Lulu Liu, Zemeng Zhao, Hui Luo, Xiuhua Guo, Lixin Tao, Xiangtong Liu, Xiaonan Wang, Yanxia Luo
    Archives of Gerontology and Geriatrics.2024; 125: 105503.     CrossRef
  • Lipid Variability Induces Endothelial Dysfunction by Increasing Inflammation and Oxidative Stress
    Marie Rhee, Joonyub Lee, Eun Young Lee, Kun-Ho Yoon, Seung-Hwan Lee
    Endocrinology and Metabolism.2024; 39(3): 511.     CrossRef
  • Separate and Joint Associations of Remnant Cholesterol Accumulation and Variability With Carotid Atherosclerosis: A Prospective Cohort Study
    Jinqi Wang, Rui Jin, Xiaohan Jin, Zhiyuan Wu, Haiping Zhang, Ze Han, Zongkai Xu, Yueruijing Liu, Xiaoyu Zhao, Xiuhua Guo, Lixin Tao
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
Guideline/Fact Sheet
Article image
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
  • 33,737 View
  • 1,283 Download
  • 171 Web of Science
  • 201 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   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; : 1.     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
Metabolic Risk/Epidemiology
Intra-Abdominal Fat and High Density Lipoprotein Cholesterol Are Associated in a Non-Linear Pattern in Japanese-Americans
Sun Ok Song, You-Cheol Hwang, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
Diabetes Metab J. 2020;44(2):277-285.   Published online March 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0008
  • 8,977 View
  • 80 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

We describe the association between high density lipoprotein cholesterol (HDL-C) concentration and computed tomography (CT)-measured fat depots.

Methods

We examined the cross-sectional associations between HDL-C concentration and intra-abdominal (IAF), abdominal subcutaneous (SCF), and thigh fat (TF) areas in 641 Japanese-American men and women. IAF, SCF, and TF were measured by CT at the level of the umbilicus and mid-thigh. The associations between fat area measurements and HDL-C were examined using multivariate linear regression analysis adjusting for age, sex, diabetes family history, homeostasis model assessment of insulin resistance (HOMA-IR), and body mass index (BMI). Non-linearity was assessed using fractional polynomials.

Results

Mean±standard deviation of HDL-C concentration and IAF in men and women were 1.30±0.34 mg/dL, 105±55.3 cm2, and 1.67±0.43 mg/dL, 74.4±46.6 cm2 and differed significantly by gender for both comparisons (P<0.001). In univariate analysis, HDL-C concentration was significantly associated with CT-measured fat depots. In multivariate analysis, IAF was significantly and non-linearly associated with HDL-C concentration adjusted for age, sex, BMI, HOMA-IR, SCF, and TF (IAF: β=−0.1012, P<0.001; IAF2: β=0.0008, P<0.001). SCF was also negatively and linearly associated with HDL-C (β=−0.4919, P=0.001).

Conclusion

HDL-C does not linearly decline with increasing IAF in Japanese-Americans. A more complex pattern better fits this association.

Citations

Citations to this article as recorded by  
  • Study on the correlation between triglyceride glucose index, triglyceride glucose index to high-density lipoprotein cholesterol ratio, and the risk of diabetes in nonalcoholic fatty liver disease
    Tao Sun, Jun Liu
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation
    Yansu Wang, Yiting Xu, Tingting Hu, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Haoyong Yu, Yuqian Bao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 121.     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
  • Obesity-related parameters in carriers of some BDNF genetic variants may depend on daily dietary macronutrients intake
    Urszula Miksza, Edyta Adamska-Patruno, Witold Bauer, Joanna Fiedorczuk, Przemyslaw Czajkowski, Monika Moroz, Krzysztof Drygalski, Andrzej Ustymowicz, Elwira Tomkiewicz, Maria Gorska, Adam Kretowski
    Scientific Reports.2023;[Epub]     CrossRef
  • Computed tomography-based investigation of the correlation of abdominal fat areas with metabolic syndrome
    Kai-Yuan Cheng, Tsung-Hsien Yen, Jay Wu, Pei-Hsuan Li, Tian-Yu Shih
    Journal of Radiological Science.2023; 48(1): 15.     CrossRef
  • Lower High-Density Lipoprotein Cholesterol Concentration Is Independently Associated with Greater Future Accumulation of Intra-Abdominal Fat
    Sun Ok Song, You-Cheol Hwang, Han Uk Ryu, Steven E. Kahn, Donna L. Leonetti, Wilfred Y. Fujimoto, Edward J. Boyko
    Endocrinology and Metabolism.2021; 36(4): 835.     CrossRef
Metabolic Risk/Epidemiology
Metabolic Health, Obesity, and the Risk of Developing Open-Angle Glaucoma: Metabolically Healthy Obese Patients versus Metabolically Unhealthy but Normal Weight Patients
Younhea Jung, Kyungdo Han, Hae-Young L. Park, Seung Hoon Lee, Chan Kee Park
Diabetes Metab J. 2020;44(3):414-425.   Published online December 23, 2019
DOI: https://doi.org/10.4093/dmj.2019.0048
  • 12,948 View
  • 159 Download
  • 54 Web of Science
  • 59 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

This study sought to investigate the associations between metabolic health status, obesity, and incidence of primary open-angle glaucoma (POAG).

Methods

In this nationwide, population-based, longitudinal prospective cohort study conducted using the Korean National Health Insurance System, we categorized all subjects based on presence and severity of metabolic syndrome and obesity. Insurance claims data were used to identify POAG development. Then, Cox regression was applied to calculate the hazard of developing POAG in people with various components of metabolic syndrome, obesity, or their combination.

Results

Of the total 287,553 subjects, 4,970 (1.3%) developed POAG. High fasting glucose, blood pressure, and total cholesterol levels were all associated with increased risk of developing POAG. Regarding obesity level, people with body mass index (BMI) greater than 30 kg/m2 were more likely to develop POAG than those with normal BMI. Also, people with greater number of metabolic syndrome components showed a greater POAG incidence. People who are metabolically unhealthy and obese (adjusted hazard ratio [HR], 1.574; 95% confidence interval [CI], 1.449 to 1.711) and those who are metabolically unhealthy nonobese (MUNO: adjusted HR, 1.521; 95% CI, 1.405 to 1.645) but not those who are metabolically healthy obese (MHO: adjusted HR, 1.019; 95% CI, 0.907 to 1.144) had an increased hazard of developing POAG compared with metabolically healthy nonobese (MHNO) subjects.

Conclusion

Metabolic health status and obesity were significantly associated with increased risk of POAG incidence. MUNO subjects but not MHO subjects showed a higher risk of POAG development than did MHNO subjects, suggesting that metabolic status is more important than obesity in POAG.

Citations

Citations to this article as recorded by  
  • Associations Between Physical Activity and Glaucoma: Analysis of the National Institutes of Health All of Us Research Program
    Patrick Akarapimand, Shahin Hallaj, Robert N. Weinreb, Sally L. Baxter
    Journal of Glaucoma.2026; 35(1): 34.     CrossRef
  • Association Between Body Composition and Risk of Primary Open-Angle Glaucoma
    Jianqi Chen, Yue Xiao, Xiaohong Chen, Yingting Zhu, Zhidong Li, Shitong Huang, Hanyang Yu, Yehong Zhuo, Yunxia Leng
    American Journal of Ophthalmology.2026; 283: 256.     CrossRef
  • Associations between obesity, metabolic syndrome and glaucoma in the National Institutes of Health ‘All of Us’ research programme
    Megan Paul, Jennifer Lee, Ken Kitayama, Deyu Pan, Fei Yu, Victoria L Tseng, Anne L Coleman
    British Journal of Ophthalmology.2026; : bjo-2025-328112.     CrossRef
  • The impact of obesity or overweight on the risk of glaucoma: a meta-analysis
    Piao Xie, Hanze Qiu, Luyu Zhao, Dahai Hu, Hui Tang, Rongzhao Lu, Hongwei Pan
    Frontiers in Medicine.2026;[Epub]     CrossRef
  • Evaluating the impact of caloric restriction, body mass index and exercise on primary open-angle glaucoma: A review
    Jonathan YM Lai, Patrick Mclarnon, Carl Sheridan, Neeru A Vallabh
    European Journal of Ophthalmology.2025; 35(2): 429.     CrossRef
  • Estimates and trends in the global burden of glaucoma influenced by metabolic risk factors from Global Burden of Disease Study between 1990 to 2019
    Juan Chen, Hua Fan, Qingwen Yu, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Chen Chen, Jiake Tang, Hu Wang, Xinyan Fu, Xingwei Zhang, Mingwei Wang, Yongran Cheng
    European Journal of Ophthalmology.2025; 35(3): 972.     CrossRef
  • Risk of depression in glaucoma patients with vision impairment: A nationwide cohort study
    Sheng-Min Wang, Younhea Jung, Kyungdo Han, Kyoung Ohn, Hae-young Lopilly Park, Chan Kee Park, Jung Il Moon
    Heliyon.2025; 11(1): e40617.     CrossRef
  • Association of obesity and metabolic syndrome with incident primary open angle glaucoma in the UK Biobank
    Carmelo Z. Macri, Christopher X. Wong, Samuel J. Tu, David F. Sun, Robert Casson, Kuldev Singh, Sophia Wang, Michelle T. Sun
    Clinical & Experimental Ophthalmology.2025; 53(2): 133.     CrossRef
  • The Association Between Intermittent Fasting and Glaucoma
    Marlow Schulz, Leona Ding, Shu Feng, Andrew Chen, Philip P. Chen, Karine D. Bojikian
    Journal of Glaucoma.2025; 34(1): 1.     CrossRef
  • Link Between Metabolic Syndrome, Inflammation, and Eye Diseases
    Kamila Pieńczykowska, Anna Bryl, Małgorzata Mrugacz
    International Journal of Molecular Sciences.2025; 26(5): 2174.     CrossRef
  • Lipid metabolism disorder promoting retinal structural and functional damage in ApoE−/− mice with age superposition
    Rucui Yang, Shaolang Chen, Tsz Kin Ng, Jiajian Liang, Shaofen Huang, Minru Deng, Zhenggen Wu, Yaru Sun, Changzhen Fu, Chi Pui Pang, Qingping Liu, Mingzhi Zhang
    Acta Neuropathologica Communications.2025;[Epub]     CrossRef
  • Current Opportunities and Future Prospects of Neuroprotective Therapy in Glaucoma. Literature Review. Part 2
    N. I. Kurysheva, A. V. Korneeva, S. I. Ponomareva, H. M. Plieva, V. E. Kim, I. D. Kim, M. V. Chebotareva
    Ophthalmology in Russia.2025; 22(2): 251.     CrossRef
  • Early Life Body Size Trajectory and the Risk of Primary Open-angle Glaucoma: A Retrospective Cohort Study
    Jianqi Chen, Yuyao Ling, Yingting Zhu, Zhidong Li, Dandan Ge, Rui Cai, Feng Deng, Shaofen Huang, Yehong Zhuo, Lei Lei
    American Journal of Ophthalmology.2025; 279: 264.     CrossRef
  • The Association between the Gut Microbiota and Erectile Dysfunction
    Tianle Zhu, Xi Liu, Peng Yang, Yukuai Ma, Pan Gao, Jingjing Gao, Hui Jiang, Xiansheng Zhang
    The World Journal of Men's Health.2024; 42(4): 772.     CrossRef
  • Potentially compromised systemic and local lactate metabolic balance in glaucoma, which could increase retinal glucose and glutamate concentrations
    Mina Arai-Okuda, Yusuke Murai, Hidetaka Maeda, Akiyasu Kanamori, Takako Miki, Tomoko Naito, Kazunobu Sugihara, Michihiro Kono, Masaki Tanito, Hiromitsu Onoe, Kazuyuki Hirooka, Yoshiaki Kiuchi, Masakazu Shinohara, Sentaro Kusuhara, Sotaro Mori, Kaori Ueda,
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between Glucagon-like Peptide-1 Receptor Agonists and the Risk of Glaucoma in Individuals with Type 2 Diabetes
    Siar Niazi, Filip Gnesin, Anna-Sophie Thein, Jens R. Andreasen, Anna Horwitz, Zaynab A. Mouhammad, Baker N. Jawad, Zia Niazi, Nelsan Pourhadi, Bochra Zareini, Amani Meaidi, Christian Torp-Pedersen, Miriam Kolko
    Ophthalmology.2024; 131(9): 1056.     CrossRef
  • The risk of open angle glaucoma in young adults with allergic diseases: a Nationwide cohort study
    Kyungdo Han, Jin-Hyung Jung, Younhea Jung, Kyoung Ohn, Jung Il Moon
    Scientific Reports.2024;[Epub]     CrossRef
  • The relationship of the metabolic syndrome and its correction with the development and progression of glaucoma
    S. I. Makogon, D. I. Ivanova
    National Journal glaucoma.2024; 23(1): 65.     CrossRef
  • Glaucoma and metabolic syndrome
    A. M. Getmanova, A. Yu. Brezhnev, A. V. Kuroyedov, S. A. Zubasheva
    National Journal glaucoma.2024; 23(2): 107.     CrossRef
  • Fecal microbiota transplantation for glaucoma; a potential emerging treatment strategy
    Rasoul Ebrahimi, Yeganeh Farsi, Seyed Aria Nejadghaderi
    Current Research in Microbial Sciences.2024; 7: 100314.     CrossRef
  • Therapeutic Effects of Taurine and Histidine Supplementation in Retinal Diseases
    Deokho Lee, Lois E. H. Smith
    Life.2024; 14(12): 1566.     CrossRef
  • Candidate SNP Markers Significantly Altering the Affinity of the TATA-Binding Protein for the Promoters of Human Genes Associated with Primary Open-Angle Glaucoma
    Karina Zolotareva, Polina A. Dotsenko, Nikolay Podkolodnyy, Roman Ivanov, Aelita-Luiza Makarova, Irina Chadaeva, Anton Bogomolov, Pavel S. Demenkov, Vladimir Ivanisenko, Dmitry Oshchepkov, Mikhail Ponomarenko
    International Journal of Molecular Sciences.2024; 25(23): 12802.     CrossRef
  • Association between metabolic syndrome and the risk of glaucoma: a meta-analysis of observational studies
    Fei Li, Yanjun Luo, Xin Li, Yan Dai, Qingping Xiang
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • How does being Overweight Affect the Choroid in Children?
    Mustafa Duran, Selim Cevher, Ferda Evin
    Online Türk Sağlık Bilimleri Dergisi.2024; 9(4): 298.     CrossRef
  • Association Between Glycemic Traits and Primary Open-Angle Glaucoma: A Mendelian Randomization Study in the Japanese Population
    Akiko Hanyuda, Atsushi Goto, Masahiro Nakatochi, Yoichi Sutoh, Akira Narita, Shiori Nakano, Ryoko Katagiri, Kenji Wakai, Naoyuki Takashima, Teruhide Koyama, Kokichi Arisawa, Issei Imoto, Yukihide Momozawa, Kozo Tanno, Atsushi Shimizu, Atsushi Hozawa, Keng
    American Journal of Ophthalmology.2023; 245: 193.     CrossRef
  • Microbiome Dysbiosis: A Pathological Mechanism at the Intersection of Obesity and Glaucoma
    Salvatore Pezzino, Maria Sofia, Luigi Piero Greco, Giorgia Litrico, Giulia Filippello, Iacopo Sarvà, Gaetano La Greca, Saverio Latteri
    International Journal of Molecular Sciences.2023; 24(2): 1166.     CrossRef
  • Phenotypic and Genetic Links between Body Fat Measurements and Primary Open-Angle Glaucoma
    Shi Song Rong, Xinting Yu
    International Journal of Molecular Sciences.2023; 24(4): 3925.     CrossRef
  • Metabolic Health, Obesity, and Intraocular Pressure
    Younhea Jung, Gyoung Nyun Kim, Eun Byeol Oh, Kyoung Ohn, Jung Il Moon
    Journal of Clinical Medicine.2023; 12(5): 2066.     CrossRef
  • Association between lifestyle habits and glaucoma incidence: a retrospective cohort study
    Asahi Fujita, Yohei Hashimoto, Hiroki Matsui, Hideo Yasunaga, Makoto Aihara
    Eye.2023; 37(16): 3470.     CrossRef
  • Towards precision medicine in bariatric surgery prescription
    Sofia S. Pereira, Marta Guimarães, Mariana P. Monteiro
    Reviews in Endocrine and Metabolic Disorders.2023; 24(5): 961.     CrossRef
  • Study of the relationship between serum lipid levels and primary open-angle glaucoma
    Rajesh Subhash Joshi, Vaishnavi Hitesh Adatiya
    Indian Journal of Ophthalmology.2023; 71(5): 1948.     CrossRef
  • Primary open-angle glaucoma risk prediction with ABCA1 and LOC102723944 variants and their genotype–phenotype correlations in southern Chinese population
    Zhenggen Wu, Chukai Huang, Yuqian Zheng, Xiang-Ling Yuan, Shaowan Chen, Yanxuan Xu, Li Jia Chen, Chi Pui Pang, Mingzhi Zhang, Tsz Kin Ng
    Molecular Genetics and Genomics.2023; 298(6): 1343.     CrossRef
  • Differences in Factors Associated With Glaucoma Progression With Lower Normal Intraocular Pressure in Superior and Inferior Halves of the Optic Nerve Head
    Ryo Asaoka, Rei Sakata, Takeshi Yoshitomi, Aiko Iwase, Chota Matsumoto, Tomomi Higashide, Motohiro Shirakashi, Makoto Aihara, Kazuhisa Sugiyama, Makoto Araie
    Translational Vision Science & Technology.2023; 12(8): 19.     CrossRef
  • The association between obesity and glaucoma in older adults: evidence from the China Health and Retirement Longitudinal Study
    Xiaohuan Zhao, Qiyu Bo, Junran Sun, Jieqiong Chen, Tong Li, Xiaoxu Huang, Minwen Zhou, Jing Wang, Wenjia Liu, Xiaodong Sun
    Epidemiology and Health.2023; 45: e2023034.     CrossRef
  • Metabolic syndrome as an independent risk factor for glaucoma: a nationally representative study
    Jun-Hyuk Lee, Yu-Jin Kwon, Sung Jin Kim, Boyoung Joung
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Angiotensin Converting Enzyme Inhibitors: Interaction Issues in Patients with Glaucoma and Arterial Hypertension. Review
    S. I. Makogon, D. I. Ivanova, A. L. Onishchenko
    Ophthalmology in Russia.2023; 20(4): 641.     CrossRef
  • The role of the microbiota in glaucoma
    Ling Huang, Yiwen Hong, Xiangyu Fu, Haishan Tan, Yongjiang Chen, Yujiao Wang, Danian Chen
    Molecular Aspects of Medicine.2023; 94: 101221.     CrossRef
  • Girl Power in Glaucoma: The Role of Estrogen in Primary Open Angle Glaucoma
    Kyrylo Fotesko, Bo Schneider Vohra Thomsen, Miriam Kolko, Rupali Vohra
    Cellular and Molecular Neurobiology.2022; 42(1): 41.     CrossRef
  • Cholesterol and glaucoma: a systematic review and meta‐analysis
    Laura Posch‐Pertl, Monja Michelitsch, Gernot Wagner, Brigitte Wildner, Günther Silbernagel, Gudrun Pregartner, Andreas Wedrich
    Acta Ophthalmologica.2022; 100(2): 148.     CrossRef
  • Non-drug interventions in glaucoma: Putative roles for lifestyle, diet and nutritional supplements
    Foroogh Fahmideh, Nicoletta Marchesi, Annalisa Barbieri, Stefano Govoni, Alessia Pascale
    Survey of Ophthalmology.2022; 67(3): 675.     CrossRef
  • Relationship between Using Fibrate and Open-Angle Glaucoma in Hyperlipidemic Patients: A Population-Based Cohort Study
    Yung-En Tsai, Yi-Hao Chen, Chien-An Sun, Chi-Hsiang Chung, Wu-Chien Chien, Ke-Hung Chien
    International Journal of Environmental Research and Public Health.2022; 19(4): 2415.     CrossRef
  • The Causal Association Between Obesity and Primary Open-Angle Glaucoma: A Two-Sample Mendelian Randomization Study
    Yi Lin, Xiaomin Zhu, Wangdu Luo, Bingcai Jiang, Qianyi Lin, Min Tang, Xiangji Li, Lin Xie
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Enzymatic activity of paraoxonase depending on polymorphism Q192R of the PON1 gene in patients with primary open-angle glaucoma
    Yu.E. Filippova, T.N. Malishevskaya, S.A. Petrov, D.G. Gubin, A.S. Vlasova
    Vestnik oftal'mologii.2022; 138(2): 58.     CrossRef
  • Association of Metabolic Syndrome With Glaucoma and Ocular Hypertension in a Midwest United States Population
    Kristi Y. Wu, David O. Hodge, Launia J. White, Jacinta McDonald, Gavin W. Roddy
    Journal of Glaucoma.2022; 31(6): e18.     CrossRef
  • Metabolically Defined Body Size Phenotypes and Risk of Endometrial Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)
    Nathalie Kliemann, Romain Ould Ammar, Carine Biessy, Audrey Gicquiau, Verena Katzke, Rudolf Kaaks, Anne Tjønneland, Anja Olsen, Maria-Jose Sánchez, Marta Crous-Bou, Fabrizio Pasanisi, Sandar Tin Tin, Aurora Perez-Cornago, Dagfinn Aune, Sofia Christakoudi,
    Cancer Epidemiology, Biomarkers & Prevention.2022; 31(7): 1359.     CrossRef
  • Clinical Practice Management of Primary Open-Angle Glaucoma in the United States: An Analysis of Real-World Evidence
    Joseph S Imperato, Kelly H Zou, Jim Z Li, Tarek A Hassan
    Patient Preference and Adherence.2022; Volume 16: 2213.     CrossRef
  • Meta-Analysis of Dyslipidemia and Blood Lipid Parameters on the Risk of Primary Open-Angle Glaucoma
    Guimei Huang, Jiayi Wang, Lei Li, Yuan Gao, Yijie Yan, Xi Lou
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • Body shape and risk of glaucoma: A Mendelian randomization
    Ruolan Yuan, Kangcheng Liu, Yingjun Cai, Fei He, Xiaoxiong Xiao, Jing Zou
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Impact of Systemic Comorbidities on Ocular Hypertension and Open-Angle Glaucoma, in a Population from Spain and Portugal
    Carolina Garcia-Villanueva, Elena Milla, José M. Bolarin, José J. García-Medina, Javier Cruz-Espinosa, Javier Benítez-del-Castillo, José Salgado-Borges, Francisco J. Hernández-Martínez, Elena Bendala-Tufanisco, Irene Andrés-Blasco, Alex Gallego-Martinez,
    Journal of Clinical Medicine.2022; 11(19): 5649.     CrossRef
  • Metabolic syndrome and its components are associated with non-arteritic anterior ischaemic optic neuropathy
    Darrell Kohli, Kristi Y Wu, Launia J White, David O Hodge, John J Chen, Gavin W Roddy
    BMJ Open Ophthalmology.2022; 7(1): e001111.     CrossRef
  • Blood Pressure Measures and Incident Primary Open-Angle Glaucoma
    Carmelo Macri, Christopher X. Wong, Samuel J. Tu, Robert Casson, Kuldev Singh, Sophia Y. Wang, Michelle T. Sun
    Investigative Opthalmology & Visual Science.2022; 63(13): 3.     CrossRef
  • Relationship between anthropometric and biochemical changes of metabolic syndrome with retinal nerve fiber layer and macular thickness
    Sze Hui New, Sue Ngein Leow, Suresh Kumar Vasudevan, Idayu Badilla Idris, Seng Fai Tang, Norshamsiah Md Din, Bang V Bui
    PLOS ONE.2021; 16(2): e0246830.     CrossRef
  • Metabolic syndrome and the aging retina
    Gavin W. Roddy
    Current Opinion in Ophthalmology.2021; 32(3): 280.     CrossRef
  • Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images
    Parmita Mehta, Christine A. Petersen, Joanne C. Wen, Michael R. Banitt, Philip P. Chen, Karine D. Bojikian, Catherine Egan, Su-In Lee, Magdalena Balazinska, Aaron Y. Lee, Ariel Rokem
    American Journal of Ophthalmology.2021; 231: 154.     CrossRef
  • Association of Hypertriglyceridemia and Incident Glaucoma in a Rural Chinese Population: The Handan Eye Study
    Ye Zhang, Qing Zhang, Ravi Thomas, Si Zhen Li, Ning Li Wang
    Translational Vision Science & Technology.2021; 10(8): 25.     CrossRef
  • Risk of Glaucoma Associated with Components of Metabolic Disease in Taiwan: A Nationwide Population-Based Study
    Ya-Wen Chang, Fung-Chang Sung, Ya-Ling Tzeng, Chih-Hsin Mou, Peng-Tai Tien, Cheng-Wen Su, Yu-Kuei Teng
    International Journal of Environmental Research and Public Health.2021; 19(1): 305.     CrossRef
  • Metabolic Syndrome Is Associated With Ocular Hypertension and Glaucoma
    Gavin W. Roddy
    Journal of Glaucoma.2020; 29(9): 726.     CrossRef
  • Association of dipping status of blood pressure, visual field defects, and retinal nerve fiber layer thickness in patients with normotensive glaucoma
    Seung Uk Lee, Han Su Park, Bong Joon Kim, Hyun Su Kim, Jung Ho Heo, Sung Il Im
    Medicine.2020; 99(50): e23565.     CrossRef
  • Ocular findings in metabolic syndrome: a review
    Mário Lima-Fontes, Pedro Barata, Manuel Falcão, Ângela Carneiro
    Porto Biomedical Journal.2020; 5(6): 104.     CrossRef
Epidemiology
Article image
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 Metab J. 2019;43(4):487-494.   Published online July 17, 2019
DOI: https://doi.org/10.4093/dmj.2019.0067
  • 18,596 View
  • 216 Download
  • 112 Web of Science
  • 115 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The objective of this study was to investigate the prevalence, management, and comorbidities of diabetes among Korean adults aged 30 years and older.

Methods

This study used 2013 to 2016 data from the Korea National Health and Nutrition Examination Survey, a nationally-representative survey of the Korean population. Diabetes was defined as fasting glucose ≥126 mg/dL, current use of antidiabetic medication, a previous history of diabetes, or glycosylated hemoglobin (HbA1c) ≥6.5%.

Results

In 2016, 14.4% (approximately 5.02 million) of Korean adults had diabetes. The prevalence of impaired fasting glucose was 25.3% (8.71 million). From 2013 to 2016, the awareness, control, and treatment rates for diabetes were 62.6%, 56.7%, and 25.1%, respectively. People with diabetes had the following comorbidities: obesity (50.4%), abdominal obesity (47.8%), hypertension (55.3%), and hypercholesterolemia (34.9%). The 25.1%, 68.4%, and 44.2% of people with diabetes achieved HbA1c <6.5%, blood pressure <140/85 mm Hg, and low density lipoprotein cholesterol <100 mg/dL. Only 8.4% of people with diabetes had good control of all three targets.

Conclusion

This study confirms that diabetes is as an important public health problem. Efforts should be made to increase awareness, detection, and comprehensive management of diabetes to reduce diabetes-related morbidity and mortality.

Citations

Citations to this article as recorded by  
  • A Longitudinal Increase in Serum Gamma-Glutamyl Transferase Levels, but Not in Alanine Aminotransferase Levels, Improves the Prediction of Risk of Impaired Fasting Glucose in Male
    Jisoon Im, Susie Jung, Yuri Yang, Kyu-Nam Kim
    Journal of Korean Medical Science.2025;[Epub]     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
  • 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
  • Prevalence of impaired fasting glucose and associated risk factors among Malaysian adult population: Findings from the National Health and Morbidity Survey (NHMS) 2019
    Murnizar Mokhtar, Nor Azian Mohd Zaki, Nurul Huda Ibrahim, Natural Hoi Sing Chu
    PLOS ONE.2025; 20(4): e0320993.     CrossRef
  • Efficacy and safety of Tafolecimab in Chinese patients with type 2 diabetes and hypercholesterolemia: a post-hoc analysis of pooled data from three phase 3 trials
    Litong Qi, Hua Shen, Meng Chai, Beijian Chen, Yongming He, Xiaoxia Shi, Qiufang Lian, Wang Zhao, Yanling Qu, Lei Qian, Jianwei Zhang, Haoyu Li, Yujie Zhou, Yong Huo
    Cardiovascular Diabetology.2025;[Epub]     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
  • Social Support, eHealth Literacy, and mHealth Use in Older Adults With Diabetes
    Minjin Kim, Beomsoo Kim, Sunhee Park
    CIN: Computers, Informatics, Nursing.2024; 42(2): 136.     CrossRef
  • Cardiovascular safety of evogliptin dual and triple therapy in patients with type 2 diabetes: a nationwide cohort study
    Sohee Park, Han Eol Jeong, In-Sun Oh, Sangmo Hong, Sung Hoon Yu, Chang Beom Lee, Ju-Young Shin
    BMJ Open.2024; 14(4): e077084.     CrossRef
  • Gamma‐glutamyl transferase and the risk of all‐cause and disease‐specific mortality in patients with diabetes: A nationwide cohort study
    Goh Eun Chung, Su‐Min Jeong, Su Jong Yu, Jeong‐Ju Yoo, Yuri Cho, Kyu‐na Lee, Dong Wook Shin, Yoon Jun Kim, Jung‐Hwan Yoon, Kyungdo Han, Eun Ju Cho
    Journal of Diabetes.2024;[Epub]     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
  • Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications
    Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Mohsin Kazi, Majdi Khalid, Arnisha Akhter, Mohammad Ali Moni
    DIGITAL HEALTH.2024;[Epub]     CrossRef
  • Risk of bone fracture by using dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, or sodium-glucose cotransporter-2 inhibitors in patients with type 2 diabetes mellitus: a network meta-analysis of population-based cohort studies
    Mohamed E. A. Mostafa, Tariq Alrasheed
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Anti-diabetic potential of Rubus species: linking conventional knowledge with scientific developments: a review
    Aroma Joshi, Vijay Kumar, Bindu Naik, Deep Shikha, Sarvesh Rustagi, Arun Kumar Gupta
    Food Production, Processing and Nutrition.2024;[Epub]     CrossRef
  • Lipids as the link between central obesity and diabetes: perspectives from mediation analysis
    Song Lu, Maobin Kuang, Jiajun Qiu, Wenjuan Li, Min Zhang, Guotai Sheng, Yang Zou, Xiaoping Peng
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • The association between type 2 diabetes and dietary antioxidant index: a cross-sectional study in the Iranian population
    Zahra Roumi, Majid Kamali, Masoomeh Alsadat Mirshafaei, Saheb Abbas Torki, Bahareh Aminnezhad, Zahra Mahmoudi, Soheila Shekari, Ali Shamsi-Goushki, Kadijeh Abbasi Mobarakeh, Masoomeh Ataei Kachooei, Maryam Gholamalizadeh, Saeed Omidi, Parsa Bahmani, Saeid
    Archives of Endocrinology and Metabolism.2024;[Epub]     CrossRef
  • Prognostic value of resting heart rate in predicting undiagnosed diabetes in adults: Korean National Health and Nutrition Examination Survey 2008–2018
    Dong-Hyuk Park, Seon Young Goo, Sung Hyun Hong, Ji-hee Min, Ji Yong Byeon, Mi-Kyung Lee, Hae Dong Lee, Byoung Wook Ahn, Heejin Kimm, Sun Ha Jee, Dong Hoon Lee, Yong-ho Lee, Eun Seok Kang, Justin Y. Jeon
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 141.     CrossRef
  • Levels and correlates of risk factor control in diabetes mellitus –ELSA-Brasil
    Bruna Cristine Chwal, Rodrigo Citton Padilha dos Reis, Maria Inês Schmidt, Bruce B. Duncan, Sandhi Maria Barreto, Rosane Harter Griep
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Changes in total cholesterol level and cardiovascular disease risk among type 2 diabetes patients
    Jaewon Khil, Sung Min Kim, Jooyoung Chang, Seulggie Choi, Gyeongsil Lee, Joung Sik Son, Sang Min Park, NaNa Keum
    Scientific Reports.2023;[Epub]     CrossRef
  • Effects of dapagliflozin compared with glimepiride on body composition in Asian patients with type 2 diabetes inadequately controlled with metformin: The BEYOND study
    Hyeong Kyu Park, Kyoung‐Ah Kim, Kyung‐Wan Min, Tae‐Seo Sohn, In Kyung Jeong, Chul Woo Ahn, Nan‐Hee Kim, Ie Byung Park, Ho Chan Cho, Choon Hee Chung, Sung Hee Choi, Kang Seo Park, Seoung‐Oh Yang, Kwan Woo Lee
    Diabetes, Obesity and Metabolism.2023; 25(9): 2743.     CrossRef
  • Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus
    Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Association between Smoking Cessation and the Risk of Cholangiocarcinoma and Ampulla of Vater Cancer: A Nationwide Cohort Study
    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
    Liver Cancer.2023; 12(5): 457.     CrossRef
  • Achievement of Treatment Goals and Mortality in Individuals with Diabetes: The ELSA-Brasil Study
    Bruna Cristine Chwal, Rodrigo Citton P. dos Reis, Maria Inês Schmidt, Sandhi Maria Barreto, Rosane Harter Griep, Bruce B. Duncan
    Journal of Clinical Medicine.2023; 12(24): 7663.     CrossRef
  • Cigarette Smoking and Risk of Infection-Related Mortality: A Cohort Study
    Hae Suk Cheong, Yoosoo Chang, Eun-Jeong Joo, Seungho Ryu
    Nicotine & Tobacco Research.2022; 24(2): 204.     CrossRef
  • Angiotensin‐converting enzyme inhibitors versus angiotensin receptor blockers: New‐onset diabetes mellitus stratified by statin use
    Juyoung Shin, Hyunah Kim, Hyeon Woo Yim, Ju Han Kim, Suehyun Lee, Hun‐Sung Kim
    Journal of Clinical Pharmacy and Therapeutics.2022; 47(1): 97.     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
  • Factors Associated with Chronic Disease and Health Care Utilization Among Young Adults in South Korea
    Jongho Park, Yeaeun Kim
    Population Health Management.2022; 25(3): 407.     CrossRef
  • Sleep duration and mortality in patients with diabetes: Results from the 2007–2015 Korea national health and nutrition examination survey
    Kang-Mo Gu, Se Hee Min, Jaeyoung Cho
    Diabetes & Metabolism.2022; 48(3): 101312.     CrossRef
  • Retinal Vascular Caliber Changes in Early Type 2 Diabetic Patients without Retinopathy
    Jeong Woo Park, Jeong Hun Bae, Su Jeong Song, Joon Mo Kim
    Journal of the Korean Ophthalmological Society.2022; 63(1): 20.     CrossRef
  • Association Between Long Working Hours and Chronic Kidney Disease According to Diabetic Status
    Ki Duk Kim, Suk-Yong Jang
    Journal of Occupational & Environmental Medicine.2022; 64(3): 190.     CrossRef
  • Sodium–glucose cotransporter 2 inhibitors do not increase the risk of fractures in real‐world clinical practice in Korea: A national observational cohort study
    Kyoung Hwa Ha, Dae Jung Kim, Yong Jun Choi
    Journal of Diabetes Investigation.2022; 13(6): 986.     CrossRef
  • Improvement of Lipotoxicity-Induced Islet β Cellular Insulin Secretion Disorder by Osteocalcin
    Yafang Zhang, Ling Li, Yongze Zhang, Sunjie Yan, Lingning Huang, Riccardo Calafiore
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Association between gastric cancer and the risk of depression among South Korean adults
    Sinyoung Kwon, Jinyeong Kim, Taeyeon Kim, Wonjeong Jeong, Eun-Cheol Park
    BMC Psychiatry.2022;[Epub]     CrossRef
  • 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 & Metabolism Journal.2022; 46(2): 273.     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
  • Normalized Creatinine-to-Cystatin C Ratio and Risk of Diabetes in Middle-Aged and Older Adults: The China Health and Retirement Longitudinal Study
    Shanhu Qiu, Xue Cai, Bo Xie, Yang Yuan, Zilin Sun, Tongzhi Wu
    Diabetes & Metabolism Journal.2022; 46(3): 476.     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
  • Long‐term clinical outcomes of oral antidiabetic drugs as fixed‐dose combinations: A nationwide retrospective cohort study
    Sang‐Jun Cho, In‐Sun Oh, Han Eol Jeong, Young Min Cho, Yul Hwangbo, Oriana Hoi Yun Yu, Ju‐Young Shin
    Diabetes, Obesity and Metabolism.2022; 24(10): 2051.     CrossRef
  • Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • Dietary antioxidant consumption and the risk of type 2 diabetes in South Korean adults: a prospective cohort study based on the Health Examinees study
    Li-Juan Tan, Su Bin Hwang, Shinyoung Jun, Hyojee Joung, Sangah Shin
    BMJ Open.2022; 12(7): e065073.     CrossRef
  • Visual Acuity Outcomes in Diseases Associated with Reduced Visual Acuity: An Analysis of the National Health Insurance Service Database in Korea
    Sang-Yeob Kim, Byeong-Yeon Moon, Hyun-Gug Cho, Dong-Sik Yu
    International Journal of Environmental Research and Public Health.2022; 19(14): 8689.     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
  • Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
    Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
  • Remnant cholesterol and the risk of cardiovascular disease in type 2 diabetes: a nationwide longitudinal cohort study
    Ji Hye Huh, Kyung-do Han, Yun Kyung Cho, Eun Roh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    Cardiovascular Diabetology.2022;[Epub]     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
  • Effective coverage of diabetes and hypertension: an analysis of Thailand’s national insurance database 2016–2019
    Nattadhanai Rajatanavin, Woranan Witthayapipopsakul, Vuthiphan Vongmongkol, Nithiwat Saengruang, Yaowaluk Wanwong, Aniqa Islam Marshall, Walaiporn Patcharanarumol, Viroj Tangcharoensathien
    BMJ Open.2022; 12(12): e066289.     CrossRef
  • Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study
    Jun Sung Moon, Sunghwan Suh, Sang Soo Kim, Heung Yong Jin, Jeong Mi Kim, Min Hee Jang, Kyung Ae Lee, Ju Hyung Lee, Seung Min Chung, Young Sang Lyu, Jin Hwa Kim, Sang Yong Kim, Jung Eun Jang, Tae Nyun Kim, Sung Woo Kim, Eonju Jeon, Nan Hee Cho, Mi-Kyung Ki
    Diabetes & Metabolism Journal.2021; 45(5): 675.     CrossRef
  • Association between secondhand smoke exposure and diabetes mellitus in 131 724 Korean never smokers using self‐reported questionnaires and cotinine levels: Gender differences
    Byung Jin Kim, Ji Hye Kim, Jeong Gyu Kang, Bum Soo Kim, Jin Ho Kang
    Journal of Diabetes.2021; 13(1): 43.     CrossRef
  • Importance of Awareness and Treatment for Diabetes in Influenza Vaccination Coverage of Diabetic Patients under 65 Years: A Population-Based Study
    Yu Mi Ko, Seung Hyun Ko, Kyoungdo Han, Yong-Moon Park, Joon Young Choi, Shin Young Kim, So Hyang Song, Chi Hong Kim, Sung Kyoung Kim
    Diabetes & Metabolism Journal.2021; 45(1): 55.     CrossRef
  • Associations of urinary concentrations of phthalate metabolites, bisphenol A, and parabens with obesity and diabetes mellitus in a Korean adult population: Korean National Environmental Health Survey (KoNEHS) 2015–2017
    Inae Lee, Young Joo Park, Min Joo Kim, Sunmi Kim, Sohyeon Choi, Jeongim Park, Yoon Hee Cho, Sooyeon Hong, Jiyoung Yoo, Hyunwoong Park, Gi Jeong Cheon, Kyungho Choi, Min Kyong Moon
    Environment International.2021; 146: 106227.     CrossRef
  • Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: An East Asian perspective
    Linong Ji, Juliana C. N. Chan, Miao Yu, Kun Ho Yoon, Sin Gon Kim, Sung Hee Choi, Chien‐Ning Huang, Shih Te Tu, Chih‐Yuan Wang, Päivi Maria Paldánius, Wayne H. H. Sheu
    Diabetes, Obesity and Metabolism.2021; 23(1): 3.     CrossRef
  • Hypertension and stroke in Asia: A comprehensive review from HOPE Asia
    Yuda Turana, Jeslyn Tengkawan, Yook Chin Chia, Michael Nathaniel, Ji‐Guang Wang, Apichard Sukonthasarn, Chen‐Huan Chen, Huynh Van Minh, Peera Buranakitjaroen, Jinho Shin, Saulat Siddique, Jennifer M. Nailes, Sungha Park, Boon Wee Teo, Jorge Sison, Arieska
    The Journal of Clinical Hypertension.2021; 23(3): 513.     CrossRef
  • Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
    Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2021; 23(2): 609.     CrossRef
  • Triglyceride and glucose index and the risk of gestational diabetes mellitus: A nationwide population-based cohort study
    Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
    Diabetes Research and Clinical Practice.2021; 171: 108533.     CrossRef
  • Effectiveness and safety of sodium‐glucose co‐transporter‐2 inhibitors compared with dipeptidyl peptidase‐4 inhibitors in older adults with type 2 diabetes: A nationwide population‐based study
    Seung Jin Han, Kyoung Hwa Ha, Nami Lee, Dae Jung Kim
    Diabetes, Obesity and Metabolism.2021; 23(3): 682.     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
  • Prevalence and diagnosis experience of osteoporosis in postmenopausal women over 50: Focusing on socioeconomic factors
    Min Hyeok Choi, Ji Hee Yang, Jae Seung Seo, Yoon-ji Kim, Suk-Woong Kang, Jose M. Moran
    PLOS ONE.2021; 16(3): e0248020.     CrossRef
  • Metformin use in cancer survivors with diabetes reduces all-cause mortality, based on the Korean National Health Insurance Service between 2002 and 2015
    Joungyoun Kim, Yoon-Jong Bae, Jae-woo Lee, Ye-seul Kim, Yonghwan Kim, Hyo-Sun You, Hyeong-Seop Kim, Eun-A Choi, Ye-Eun Han, Hee-Taik Kang
    Medicine.2021; 100(11): e25045.     CrossRef
  • Role of obesity-induced inflammation in the development of insulin resistance and type 2 diabetes: history of the research and remaining questions
    Jieun Kim, Jongsoon Lee
    Annals of Pediatric Endocrinology & Metabolism.2021; 26(1): 1.     CrossRef
  • White Blood Cell Count as a Predictor of Incident Type 2 Diabetes Mellitus Among Non-Obese Adults: A Longitudinal 10-Year Analysis of the Korean Genome and Epidemiology Study
    Jae-Min Park, Hye Sun Lee, Ju-Young Park, Dong-Hyuk Jung, Ji-Won Lee
    Journal of Inflammation Research.2021; Volume 14: 1235.     CrossRef
  • The Association of Hemoglobin A1c and Fasting Glucose Levels with hs-CRP in Adults Not Diagnosed with Diabetes from the KNHANES, 2017
    Jeong Woo Seo, Sat Byul Park, Ulrike Rothe
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
  • Effects of Jerusalem Artichoke Extract and Inulin on Blood Glucose Levels and Insulin Secretion in Streptozotocin Induced Diabetic Mice
    Seung Hee Kim, Byung Ki Kim, Boo Yeun Park, Jung Min Kim, Young Jik Lee, Mi Kyung Lee, Sung-Tae Yee, Mi Yeon Kang
    The Journal of Korean Diabetes.2021; 22(1): 60.     CrossRef
  • Health State Utility Values for Type 2 Diabetes and Related Complications in East and Southeast Asia: A Systematic Review and Meta-Analysis
    Chiu Hang Mok, Harley H.Y. Kwok, Carmen S. Ng, Gabriel M. Leung, Jianchao Quan
    Value in Health.2021; 24(7): 1059.     CrossRef
  • Association between alcohol consumption status and obesity-related comorbidities in men: data from the 2016 Korean community health survey
    Bo-Yeon Kim, Hyewon Nam, Jeong-Ju Yoo, Yoon-Young Cho, Dug-Hyun Choi, Chan-Hee Jung, Ji-Oh Mok, Chul-Hee Kim
    BMC Public Health.2021;[Epub]     CrossRef
  • Epidemiology of cardiovascular disease and its risk factors in Korea
    Hyeon Chang Kim
    Global Health & Medicine.2021; 3(3): 134.     CrossRef
  • Korea Heart Disease Fact Sheet 2020: Analysis of Nationwide Data
    Hyeok-Hee Lee, So Mi Jemma Cho, Hokyou Lee, Jongmin Baek, Jang-Ho Bae, Wook-Jin Chung, Hyeon Chang Kim
    Korean Circulation Journal.2021; 51(6): 495.     CrossRef
  • Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial
    Eun-Young Lee, Jae-Seung Yun, Seon-Ah Cha, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Seung-Hyun Ko
    International Journal of Environmental Research and Public Health.2021; 18(10): 5300.     CrossRef
  • Association between toothbrushing and non-alcoholic fatty liver disease
    Ji-Youn Kim, Yong-Moon Park, Gyu-Na Lee, Hyun Chul Song, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko, Houkai Li
    PLOS ONE.2021; 16(5): e0243686.     CrossRef
  • Control of Glucose, Blood Pressure, and Cholesterol among Adults with Diabetes: The Brazilian National Health Survey
    Rodrigo Citton P. dos Reis, Bruce B. Duncan, Célia Landmann Szwarcwald, Deborah Carvalho Malta, Maria Inês Schmidt
    Journal of Clinical Medicine.2021; 10(15): 3428.     CrossRef
  • Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data
    J. Ha, C. Jeong, K.-D. Han, Y. Lim, M.K. Kim, H.-S. Kwon, K.-H. Song, M.I. Kang, K.-H. Baek
    Osteoporosis International.2021; 32(12): 2543.     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
  • Etiology, diagnosis, complications, and treatments of diabetic foot
    Dong-Kyo Seo
    Journal of the Korean Medical Association.2021; 64(8): 523.     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
  • Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults
    Joungyoun Kim, Sang-Jun Shin, Ye-Seul Kim, Hee-Taik Kang
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • Comparative Evaluation of Standard E TB-Feron ELISA and QuantiFERON-TB Gold Plus Assays in Patients with Tuberculosis and Healthcare Workers
    In Young Yoo, Jaewoong Lee, Ae Ran Choi, Yoon Hee Jun, Hwa Young Lee, Ji Young Kang, Yeon-Joon Park
    Diagnostics.2021; 11(9): 1659.     CrossRef
  • Associations between obesity, weight change and decreased renal function in Korean type 2 diabetic patients: a longitudinal follow-up study
    Bo-Yeon Kim, Dug-Hyun Choi, Chan-Hee Jung, Ji-Oh Mok, Chul-Hee Kim
    BMC Endocrine Disorders.2021;[Epub]     CrossRef
  • Real-World Efficacy and Safety of Dulaglutide in Korean Patients with Type 2 Diabetes Mellitus: A Retrospective Study in a Tertiary Referral Center
    Jee Hee Yoon, A Ram Hong, Wonsuk Choi, Ji Yong Park, Hee Kyung Kim, Ho-Cheol Kang
    Chonnam Medical Journal.2021; 57(3): 211.     CrossRef
  • The History of Insulin Therapy in Korea
    Jun Sung Moon, Jong Chul Won, Young Min Cho
    Diabetes & Metabolism Journal.2021; 45(5): 623.     CrossRef
  • How Can We Adopt the Glucose Tolerance Test to Facilitate Predicting Pregnancy Outcome in Gestational Diabetes Mellitus?
    Kyeong Jin Kim, Nam Hoon Kim, Jimi Choi, Sin Gon Kim, Kyung Ju Lee
    Endocrinology and Metabolism.2021; 36(5): 988.     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
  • Long-Term Glycaemic Durability of Early Combination Therapy Strategy versus Metformin Monotherapy in Korean Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Soon-Jib Yoo, Sang-Ah Chang, Tae Seo Sohn, Hyuk-Sang Kwon, Jong Min Lee, Sungdae Moon, Pieter Proot, Päivi M Paldánius, Kun Ho Yoon
    Diabetes & Metabolism Journal.2021; 45(6): 954.     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
  • Anti-diabetic effects of aqueous extract of Dendropanax morbifera Lev. leaves in streptozotocin-induced diabetic Sprague-Dawley rats
    Min-Jae Kim, Ye-Jin Kang, Dong-Eon Lee, Suk Kim, Se-Hun Lim, Hu-Jang Lee
    Korean Journal of Veterinary Research.2021; 61(4): e38.     CrossRef
  • The Potential Role of MicroRNA in Diabetic Cardiomyopathy
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2020; 44(1): 54.     CrossRef
  • Diabetes and Metabolism Journal in 2020: Good to Great
    In-Kyung Jeong
    Diabetes & Metabolism Journal.2020; 44(1): 1.     CrossRef
  • Use of SGLT-2 Inhibitors in Patients with Type 2 Diabetes Mellitus and Abdominal Obesity: An Asian Perspective and Expert Recommendations
    Wayne Huey-Herng Sheu, Siew Pheng Chan, Bien J. Matawaran, Chaicharn Deerochanawong, Ambrish Mithal, Juliana Chan, Ketut Suastika, Chin Meng Khoo, Huu Man Nguyen, Ji Linong, Andrea Luk, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(1): 11.     CrossRef
  • Underweight Increases the Risk of End-Stage Renal Diseases for Type 2 Diabetes in Korean Population: Data From the National Health Insurance Service Health Checkups 2009–2017
    Yang-Hyun Kim, Jun Goo Kang, Seong Jin Lee, Kyung-do Han, Sung-Hee Ihm, Kyung-Hwan Cho, Yong-Gyu Park
    Diabetes Care.2020; 43(5): 1118.     CrossRef
  • The Role of CD36 in Type 2 Diabetes Mellitus: β-Cell Dysfunction and Beyond
    Jun Sung Moon, Udayakumar Karunakaran, Elumalai Suma, Seung Min Chung, Kyu Chang Won
    Diabetes & Metabolism Journal.2020; 44(2): 222.     CrossRef
  • Metformin treatment for patients with diabetes and chronic kidney disease: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Kidney Research and Clinical Practice.2020; 39(1): 32.     CrossRef
  • Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
    So Mi Jemma Cho, Jung Hyun Lee, Jee-Seon Shim, Hyungseon Yeom, Su Jin Lee, Yong Woo Jeon, Hyeon Chang Kim
    Journal of Medical Internet Research.2020; 22(10): e17435.     CrossRef
  • Fasting plasma glucose level and the risk of open angle glaucoma: Nationwide population-based cohort study in Korea
    Jin A. Choi, Yong-Moon Park, Kyungdo Han, Jiyoung Lee, Jae-Seung Yun, Seung-Hyun Ko, Bang V Bui
    PLOS ONE.2020; 15(9): e0239529.     CrossRef
  • Smoking as a Target for Prevention of Diabetes
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2020; 44(3): 402.     CrossRef
  • 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 & Metabolism Journal.2020; 44(5): 687.     CrossRef
  • Increased Mortality Burden in Young Asian Subjects with Dysglycemia and Comorbidities
    Eun-Jung Rhee, Inha Jung, Hyemi Kwon, Se Eun Park, Yang-Hyun Kim, Kyung-Do Han, Yong-Gyu Park, Won-Young Lee
    Journal of Clinical Medicine.2020; 9(4): 1042.     CrossRef
  • Metformin Treatment for Patients with Diabetes and Chronic Kidney Disease: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2020; 44(1): 3.     CrossRef
  • Study of hospitalization and mortality in Korean diabetic patients using the diabetes complications severity index
    Hyunju Yoo, Eunjung Choo, Sukhyang Lee
    BMC Endocrine Disorders.2020;[Epub]     CrossRef
  • Comprehensive Trends and Patterns of Antihypertensive Prescriptions Using a Nationwide Claims Database in Korea


    Minji Jung, Eunjung Choo, Sukhyang Lee
    Clinical Epidemiology.2020; Volume 12: 963.     CrossRef
  • The effects of climate on the incidence of benign paroxysmal positional vertigo
    Seung Ri Oh, Sung Jin Min, Chang Eurn Kim, Munyoung Chang, Seog-Kyun Mun
    International Journal of Biometeorology.2020; 64(12): 2119.     CrossRef
  • Prevalence and Current Management of Cardiovascular Risk Factors in Korean Adults Based on Fact Sheets
    Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(1): 85.     CrossRef
  • Diabetic Retinopathy and Related Clinical Practice for People with Diabetes in Korea: A 10-Year Trend Analysis
    Yoo-Ri Chung, Kyoung Hwa Ha, Kihwang Lee, Dae Jung Kim
    Diabetes & Metabolism Journal.2020; 44(6): 928.     CrossRef
  • Association between sleep duration and impaired fasting glucose according to work type in non-regular workers: data from the first and second year (2016, 2017) of the 7th Korean National Health and Nutrition Examination (KNHANE) (a cross-sectional study)
    JaeHan Joo, Jae-Gwang Lee, SangWoo Kim, JaeHan Lee, June-Hee Lee, Kyung-Jae Lee
    Annals of Occupational and Environmental Medicine.2020;[Epub]     CrossRef
  • Hepatocellular Carcinoma in Korea between 2012 and 2014: an Analysis of Data from the Korean Nationwide Cancer Registry
    Young Eun Chon, Han Ah Lee, Jun Sik Yoon, Jun Yong Park, Bo Hyun Kim, In Joon Lee, Suk Kyun Hong, Dong Hyeon Lee, Hyun-Joo Kong, Eunyang Kim, Young-Joo Won, Jeong-Hoon Lee
    Journal of Liver Cancer.2020; 20(2): 135.     CrossRef
  • Effect of Switching from Linagliptin to Teneligliptin Dipeptidyl Peptidase-4 Inhibitors in Older Patients with Type 2 Diabetes Mellitus


    Eugene Han, Minyoung Lee, Yong-ho Lee, Hye Soon Kim, Byung-wan Lee, Bong-Soo Cha, Eun Seok Kang
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4113.     CrossRef
  • Temperature Correction to Enhance Blood Glucose Monitoring Accuracy Using Electrical Impedance Spectroscopy
    Ye Sung Lee, Minkook Son, Alexander Zhbanov, Yugyung Jung, Myoung Hoon Jung, Kunsun Eom, Sung Hyun Nam, Jongae Park, Sung Yang
    Sensors.2020; 20(21): 6231.     CrossRef
  • Predictors of Health-Related Quality of Life in Korean Adults with Diabetes Mellitus
    Mihyun Jeong
    International Journal of Environmental Research and Public Health.2020; 17(23): 9058.     CrossRef
  • The triglyceride-glucose index predicts ischemic heart disease risk in Koreans: a prospective study using National Health Insurance Service data
    Byoungjin Park, Yong-Jae Lee, Hye Sun Lee, Dong-Hyuk Jung
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide Cohort Study (Diabetes Metab J 2020;44:737-46)
    Sun Joon Moon, Eun-Jung Rhee, Won-Young Lee, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(6): 942.     CrossRef
  • Does Diabetes Increase the Risk of Contracting COVID-19? A Population-Based Study in Korea
    Sung-Youn Chun, Dong Wook Kim, Sang Ah Lee, Su Jung Lee, Jung Hyun Chang, Yoon Jung Choi, Seong Woo Kim, Sun Ok Song
    Diabetes & Metabolism Journal.2020; 44(6): 897.     CrossRef
  • Independent Impact of Diabetes on the Severity of Coronavirus Disease 2019 in 5,307 Patients in South Korea: A Nationwide-Cohort Study (Diabetes Metab J 2020;44:737-46)
    Kyuho Kim, Tae Jung Oh
    Diabetes & Metabolism Journal.2020; 44(6): 938.     CrossRef
  • Clinical Outcomes of COVID-19 Patients with Type 2 Diabetes: A Population-Based Study in Korea
    Ji Hong You, Sang Ah Lee, Sung-Youn Chun, Sun Ok Song, Byung-Wan Lee, Dae Jung Kim, Edward J. Boyko
    Endocrinology and Metabolism.2020; 35(4): 901.     CrossRef
  • The Liability Threshold Model for Predicting the Risk of Cardiovascular Disease in Patients with Type 2 Diabetes: A Multi-Cohort Study of Korean Adults
    Eun Pyo Hong, Seong Gu Heo, Ji Wan Park
    Metabolites.2020; 11(1): 6.     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus From the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Diabetes and Muscle Dysfunction in Older Adults
    Hak Chul Jang
    Annals of Geriatric Medicine and Research.2019; 23(4): 160.     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
  • Comprehensive Efforts Are Needed to Improve the Quality of Primary Diabetes Care in Korea
    Chan-Hee Jung
    Endocrinology and Metabolism.2019; 34(3): 265.     CrossRef
Obesity and Metabolic Syndrome
Higher High Density Lipoprotein 2 (HDL2) to Total HDL Cholesterol Ratio Is Associated with a Lower Risk for Incident Hypertension
You-Cheol Hwang, Wilfred Y. Fujimoto, Steven E. Kahn, Donna L. Leonetti, Edward J. Boyko
Diabetes Metab J. 2019;43(1):114-122.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0053
  • 7,945 View
  • 57 Download
  • 12 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Recent studies have suggested that high density lipoprotein (HDL) cholesterol is inversely associated with the development of hypertension. We aimed to determine the association between different HDL cholesterol subclasses and risk of future hypertension.

Methods

A total of 270 Japanese Americans (130 men, 140 women) without hypertension between the ages of 34 to 75 years were enrolled. Blood pressure was measured with a mercury sphygmomanometer, and average blood pressure was calculated. Incident hypertension was determined 5 to 6 and 10 to 11 years after enrollment. HDL2, HDL3, and total HDL cholesterol were measured at baseline.

Results

During 10 years of follow-up, the cumulative incidence of hypertension was 28.1% (76/270). In univariate analysis, age, diabetes, waist circumference, systolic and diastolic blood pressure, fasting glucose, insulin resistance index, total and low density lipoprotein cholesterol, and visceral adipose tissue were significant predictors for incident hypertension. Among the HDL cholesterol subclass, HDL2 cholesterol was inversely associated with hypertension incidence, but both total and HDL3 cholesterol were not. In addition, HDL2/HDL cholesterol was inversely associated with future hypertension risk. In multivariate analysis, age (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.26 to 2.31; P=0.001), systolic blood pressure (OR, 1.83; 95% CI, 1.31 to 2.56; P<0.001), and HDL2/HDL cholesterol (OR, 0.71; 95% CI, 0.52 to 0.98; P=0.035), were associated with future development of hypertension.

Conclusion

A higher proportion of HDL2 cholesterol among total HDL cholesterol predicted a lower risk for incident hypertension. However, concentrations of total HDL, HDL2, and HDL3 cholesterol were not independent predictors of incident hypertension.

Citations

Citations to this article as recorded by  
  • The Effect of Theobromine Supplementation on HDL‐c Subclasses (HDL‐c2, HDL‐c3), HDL‐c2/HDL‐c3 Ratio, and Gene Expression of PPAR‐α and Sirt1 in Subjects With Metabolic Syndrome: A Randomized Controlled Clinical Trial
    Elham Sharifi‐Zahabi, Zahra Dastafkan, Amirhossein Asadi, Fatemeh Sadat Hosseini‐Baharanchi, Nayebali Rezvani, Saba Yari, Farzad Shidfar
    Food Science & Nutrition.2025;[Epub]     CrossRef
  • HDL attenuates Ang II–AT1R–EGFR signaling and reverses vascular remodeling in spontaneously hypertensive rats
    Aishah Al-Jarallah, Samah Kalakh, Saghir Akhtar, Mariam H. M. Yousif
    Frontiers in Pharmacology.2025;[Epub]     CrossRef
  • The Association of HDL2b with Metabolic Syndrome Among Normal HDL-C Populations in Southern China
    Tong Chen, Shiquan Wu, Ling Feng, SiYu Long, Yu Liu, WenQian Lu, Wenya Chen, Guoai Hong, Li Zhou, Fang Wang, Yuechan Luo, Hequn Zou
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 363.     CrossRef
  • Long-term PM1 exposure and hypertension hospitalization: A causal inference study on a large community-based cohort in South China
    Yuqin Zhang, Shirui Chen, Jing Wei, Jie Jiang, Xiao Lin, Ying Wang, Chun Hao, Wenjing Wu, Zhupei Yuan, Jie Sun, Han Wang, Zhicheng Du, Wangjian Zhang, Yuantao Hao
    Science Bulletin.2024; 69(9): 1313.     CrossRef
  • High-Density Lipoprotein Signaling via Sphingosine-1-Phosphate Receptors Safeguards Spontaneously Hypertensive Rats against Myocardial Ischemia/Reperfusion Injury
    Aishah Al-Jarallah, Fawzi A. Babiker
    Pharmaceutics.2024; 16(4): 497.     CrossRef
  • The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and prevalence of urinary stones in US adults: a cross-sectional NHANES study
    Heng Liu, Yu Zhou, Mingchu Jin, Haidong Hao, Yutang Yuan, Hongtao Jia
    International Urology and Nephrology.2024; 56(12): 3895.     CrossRef
  • Relationship Between the High Blood Pressure and Cholesterol in the Women
    Noor Nemia Hafed
    European Journal of Theoretical and Applied Sciences.2024; 2(4): 538.     CrossRef
  • Effects of cardiometabolic risk factors on blood pressure in outpatients at Sominé DOLO hospital, Mopti, Mali
    Modibo Coulibaly, Adama Kondé, Djibril Traoré, Ousmane Bah, Valentin Sagara, Bakary Maiga
    International Journal of Clinical Biochemistry and Research.2023; 10(1): 87.     CrossRef
  • The association of lipid metabolism with bone metabolism and the role of human traits: a Mendelian randomization study
    Jian Kang, Shuangli Zhao, Xize Wu, Can Wang, Zongkun Jiang, Shixuan Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The role of different lipid measures for incident hypertension during more than 12-year follow-up: Tehran Lipid and Glucose Study
    Amirreza Hadaegh, Samaneh Akbarpour, Maryam Tohidi, Niloofar Barzegar, Somayeh Hosseinpour-Niazi, Fereidoun Azizi, Farzad Hadaegh
    British Journal of Nutrition.2022; 128(9): 1700.     CrossRef
  • High Density Lipoprotein Reduces Blood Pressure and Protects Spontaneously Hypertensive Rats Against Myocardial Ischemia-Reperfusion Injury in an SR-BI Dependent Manner
    Aishah Al-Jarallah, Fawzi Babiker
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Association between the Uric Acid to High Density Lipoprotein Cholesterol Ratio and Systolic Pressure in Chinese Short Stature Children and Adolescents
    广欣 李
    Advances in Clinical Medicine.2022; 12(09): 8266.     CrossRef
  • Associations Between Peripheral Blood Microbiome and the Risk of Hypertension
    Yang Jing, Hui Zhou, Honghong Lu, Xiaofang Chen, Liangyue Zhou, Jingqi Zhang, Jing Wu, Chen Dong
    American Journal of Hypertension.2021; 34(10): 1064.     CrossRef
  • How was the Diabetes Metabolism Journal added to MEDLINE?
    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
Complications
Risk Factors for the Development and Progression of Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus and Advanced Diabetic Retinopathy
Kyung-Jin Yun, Hye Ji Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Young Jung Roh, Ki-Ho Song
Diabetes Metab J. 2016;40(6):473-481.   Published online September 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.473
  • 8,470 View
  • 60 Download
  • 32 Web of Science
  • 32 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Some patients with type 2 diabetes mellitus (T2DM) do not develop diabetic kidney disease (DKD) despite the presence of advanced diabetic retinopathy (DR). We aimed to investigate the presence of DKD and its risk factors in patients with T2DM and advanced DR.

Methods

We conducted a cross-sectional study in 317 patients with T2DM and advanced DR. The phenotypes of DKD were divided into three groups according to the urine albumin/creatinine ratio (uACR, mg/g) and estimated glomerular filtration rate (eGFR, mL/min/1.73 m2): no DKD (uACR <30 and eGFR ≥60), non-severe DKD (uACR ≥30 or eGFR <60), and severe DKD (uACR ≥30 and eGFR <60). Mean systolic and diastolic blood pressure, mean glycosylated hemoglobin (HbA1c) level, and HbA1c variability (standard deviation [SD] of serial HbA1c values or HbA1c-SD) were calculated for the preceding 2 years.

Results

The prevalence of no DKD, non-severe DKD, and severe DKD was 37.2% (n=118), 37.0% (n=117), and 25.8% (n=82), respectively. HbA1c-SD and the triglyceride/high density lipoprotein cholesterol (TG/HDL-C) ratio correlated positively with uACR and negatively with eGFR. Multiple linear regression analyses showed that the HbA1c-SD and TG/HDL-C ratio were significantly related with eGFR. Multiple logistic regression analyses after adjusting for several risk factors showed that HbA1c-SD and the TG/HDL-C ratio were significant risk factors for severe DKD.

Conclusion

The prevalence of DKD was about 60% in patients with T2DM and advanced DR. HbA1c variability and TG/HDL-C ratio may affect the development and progression of DKD in these patients.

Citations

Citations to this article as recorded by  
  • Connecting glycation and lipotoxicity to mitochondrial dysfunction in diabetic kidney disease: A ‘tubulocentric’ perspective
    Mayura Apte, Girish Kumthekar, Rashmi Santosh Tupe
    Biochemical and Biophysical Research Communications.2026; 809: 153479.     CrossRef
  • Causal associations between HbA1c and multiple diseases unveiled through a Mendelian randomization phenome-wide association study in East Asian populations
    Li Han, Shuling Xu, Rumeng Chen, Zhiwei Zheng, Yining Ding, Zhu Wu, Sen Li, Binsheng He, Meihua Bao
    Medicine.2025; 104(11): e41861.     CrossRef
  • Lipid abnormality in diabetic kidney disease and potential treatment advancements
    Qian Ming Tu, Hui Min Jin, Xiu Hong Yang
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Causal relationship between obstructive sleep apnea and diabetic nephropathy: bidirectional and multivariable Mendelian randomization study
    Li Zhao, Zerui Liu, Rundong Zhang, Yanan Li, Xi Zhang
    Renal Failure.2025;[Epub]     CrossRef
  • The effect of HbA1C variability on the development and progression of diabetic nephropathy
    Alper Coskun, Aslihan Calim, Emre Sedar Saygili, Tamer Sakaci, Feyza Yener Ozturk, Yener Koc, Fatih Borlu, Yuksel Altuntas, Taner Basturk
    Frontiers in Clinical Diabetes and Healthcare.2025;[Epub]     CrossRef
  • Ocular and Systemic Risk Factors for Disease Worsening Among Patients with NPDR
    Charles C. Wykoff, Diana V. Do, Roger A. Goldberg, Dilsher S. Dhoot, Jennifer I. Lim, Weiming Du, Fabiana Q. Silva, Rutvi Desai, Hadi Moini, Kimberly Reed, Alyson J. Berliner, Robert Vitti, W. Lloyd Clark
    Ophthalmology Retina.2024; 8(4): 399.     CrossRef
  • Developing screening tools to estimate the risk of diabetic kidney disease in patients with type 2 diabetes mellitus
    Xu Cao, Xiaomei Pei
    Technology and Health Care.2024; 32(3): 1807.     CrossRef
  • Interpretable prediction model for assessing diabetes complication risks in Chinese sufferers
    Ye Shiren, Ye Jiangnan, Ye Xinhua, Ni Xinye
    Diabetes Research and Clinical Practice.2024; 209: 111560.     CrossRef
  • Dose-response association of diabetic kidney disease with routine clinical parameters in patients with type 2 diabetes mellitus: a systematic review and meta-analysis
    Jianbo Guo, Chen Liu, Yifan Wang, Baoyi Shao, Tung Leong Fong, Ngai Chung Lau, Hui Zhang, Haidi Li, Jianan Wang, Xinyu Lu, Anqi Wang, Cheuk Lung Leung, Xin Wei Chia, Fei Li, Xiaoming Meng, Qingyong He, Haiyong Chen
    eClinicalMedicine.2024; 69: 102482.     CrossRef
  • Glycated haemoglobin variability and risk of renal function decline in type 2 diabetes mellitus: An updated systematic review and meta‐analysis
    Shihan Wang, Shuoning Song, Junxiang Gao, Yanbei Duo, Yuting Gao, Yong Fu, Yingyue Dong, Tao Yuan, Weigang Zhao
    Diabetes, Obesity and Metabolism.2024; 26(11): 5167.     CrossRef
  • Sex-Specific Computed Tomography Abdominal Fat and Skeletal Muscle Characteristics in Type 2 Diabetic Retinopathy Patients With/Without Comorbid Diabetic Kidney Disease
    Jinlei Fan, Liping Zuo, Mingyuan Hou, Bowen Wang, Yueming An, Baoli Hao, Dexin Yu
    Academic Radiology.2023; 30(11): 2686.     CrossRef
  • The concordance and discordance of diabetic kidney disease and retinopathy in patients with type 2 diabetes mellitus: A cross-sectional study of 26,809 patients from 5 primary hospitals in China
    Zhaoxiang Liu, Xianglan Li, Yanlei Wang, Yanxia Song, Qiang Liu, Junxia Gong, Wenshuang Fan, Chunmei Lv, Chenxiang Cao, Wenhui Zhao, Jianzhong Xiao
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Ferroptosis: new insight into the mechanisms of diabetic nephropathy and retinopathy
    Luxin Li, Yucen Dai, Dan Ke, Jieting Liu, Peijian Chen, Dong Wei, Tongtong Wang, Yanjie Teng, Xiaohuan Yuan, Zhen Zhang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study
    Xiao zhu Liu, Minjie Duan, Hao dong Huang, Yang Zhang, Tian yu Xiang, Wu ceng Niu, Bei Zhou, Hao lin Wang, Ting ting Zhang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Association between serum complements and kidney function in patients with diabetic kidney disease
    Meng-chao Liu, Jia-lin Li, Yue-fen Wang, Yuan Meng, Gui-min Zheng, Zhen Cai, Cun Shen, Meng-di Wang, Xiang-gang Zhu, Yang-zi Chen, Yu-lin Wang, Wen-jing Zhao, Wen-quan Niu, Yao-xian Wang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Coagulation Function and Type 2 Diabetic Kidney Disease: A Real-World Observational Study
    Meng-chao Liu, Wen-quan Niu, Yue-fen Wang, Yuan Meng, Gui-min Zheng, Zhen Cai, Cun Shen, Xiang-gang Zhu, Meng-di Wang, Jia-lin Li, Wen-jing Zhao, Yao-xian Wang, Eusebio Chiefari
    Journal of Diabetes Research.2023; 2023: 1.     CrossRef
  • Punicalagin alleviates renal injury via the gut-kidney axis in high-fat diet-induced diabetic mice
    Qinglian Hua, Yaling Han, Haifeng Zhao, Haowen Zhang, Bei Yan, Shengjie Pei, Xin He, Yue Li, Xiangyuan Meng, Lei Chen, Feng Zhong, Duo Li
    Food & Function.2022; 13(2): 867.     CrossRef
  • Status and Trends of the Association Between Diabetic Nephropathy and Diabetic Retinopathy From 2000 to 2021: Bibliometric and Visual Analysis
    Wenwen Lin, Yayong Luo, Fang Liu, Hangtian Li, Qian Wang, Zheyi Dong, Xiangmei Chen
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • The Risk Threshold for Hemoglobin A1c Associated With Albuminuria: A Population-Based Study in China
    Hong Lian, Hongshi Wu, Jie Ning, Diaozhu Lin, Chulin Huang, Feng Li, Ying Liang, Yiqin Qi, Meng Ren, Li Yan, Lili You, Mingtong Xu
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Weight change and microvascular outcomes in patients with new-onset diabetes: a nationwide cohort study
    Eun Sil Koh, Kyung Do Han, Mee Kyoung Kim, Eun Sook Kim, Min-Kyung Lee, Ga Eun Nam, Hyuk-Sang Kwon
    The Korean Journal of Internal Medicine.2021; 36(4): 932.     CrossRef
  • Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease
    Eugene Han, Mi Kyung Kim, Byoung Kuk Jang, Hye Soon Kim
    Diabetes & Metabolism Journal.2021; 45(5): 698.     CrossRef
  • Effect of Calcium Dobesilate in Preventing Contrast-Induced Nephropathy in Patients with Diabetes and Chronic Kidney Disease
    Hao Zhang, Shao-Hua Guo, Zheng-Kai Xue, Ya-Ru Zhang, Jia-Rui Wang, Jing-Jin Che, Tong Liu, Hua-Yue Tao, Guang-Ping Li, Seung-Woon Rha, Swapnil-Zaman Ashraful-Haque, Kang-Yin Chen
    Clinics.2021; 76: e2942.     CrossRef
  • Elevated TG/HDL-C and non-HDL-C/HDL-C ratios predict mortality in peritoneal dialysis patients
    Wenkai Xia, Xiajuan Yao, Yan Chen, Jie Lin, Volker Vielhauer, Hong Hu
    BMC Nephrology.2020;[Epub]     CrossRef
  • Thermal Perception Abnormalities Can Predict Diabetic Kidney Disease in Type 2 Diabetes Mellitus Patients
    Wei-Ching Fang, Kuei-Mei Chou, Chiao-Yin Sun, Chin-Chan Lee, I-Wen Wu, Yung-Chang Chen, Heng-Chih Pan
    Kidney and Blood Pressure Research.2020; 45(6): 926.     CrossRef
  • Association between nonalbumin proteinuria and renal tubular damage of N-acetyl-β-d-glucosaminidase and its clinical relevance in patients with type 2 diabetes without albuminuria
    Eugene Han, Mi-Kyung Kim, Yong-ho Lee, Hye Soon Kim, Byung-Wan Lee
    Journal of Diabetes and its Complications.2019; 33(3): 255.     CrossRef
  • Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach
    Yoichi Hayashi
    Diagnostics.2019; 9(4): 133.     CrossRef
  • Therapeutic effect of liraglutide on expression of CTGF and BMP‐7 in induced diabetic nephropathy
    Maggie M. Ramzy, Ahlam M. Abdalla, Nagwa M. Zenhom, Ahmed M. Okasha, Aya E. Abdelkafy, Rabeh K. Saleh
    Journal of Cellular Biochemistry.2019; 120(10): 17512.     CrossRef
  • Are blood lipids associated with microvascular complications among type 2 diabetes mellitus patients? A cross-sectional study in Shanghai, China
    Hua Yang, Doris Young, Jian Gao, Yuanzhi Yuan, Minqian Shen, Yuan Zhang, Xueyan Duan, Shanzhu Zhu, Xiaoming Sun
    Lipids in Health and Disease.2019;[Epub]     CrossRef
  • Discordance in risk factors for the progression of diabetic retinopathy and diabetic nephropathy in patients with type 2 diabetes mellitus
    Ki‐Ho Song, Jee‐Sun Jeong, Mee Kyoung Kim, Hyuk‐Sang Kwon, Ki‐Hyun Baek, Seung‐Hyun Ko, Yu‐Bae Ahn
    Journal of Diabetes Investigation.2019; 10(3): 745.     CrossRef
  • Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients
    Marsida Teliti, Giulia Cogni, Lucia Sacchi, Arianna Dagliati, Simone Marini, Valentina Tibollo, Pasquale De Cata, Riccardo Bellazzi, Luca Chiovato
    Diabetes and Vascular Disease Research.2018; 15(5): 424.     CrossRef
  • Higher Prevalence and Progression Rate of Chronic Kidney Disease in Elderly Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
    Diabetes & Metabolism Journal.2018; 42(3): 224.     CrossRef
  • Determinants of the Risk of Diabetic Kidney Disease and Diabetic Retinopathy Independent of Glucose Exposure
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2016; 40(6): 444.     CrossRef
Epidemiology
Dietary Sodium Intake in People with Diabetes in Korea: The Korean National Health and Nutrition Examination Survey for 2008 to 2010
Myung Shin Kang, Chong Hwa Kim, Su Jin Jeong, Tae Sun Park
Diabetes Metab J. 2016;40(4):290-296.   Published online June 23, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.4.290
  • 6,448 View
  • 47 Download
  • 17 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Diabetics are likely to receive advice from their physicians concerning lifestyle changes. To understand how much sodium is consumed by diabetics in Korea, we compared the average daily sodium intake between diabetics and non-diabetics after controlling for confounding factors.

Methods

We obtained the sodium intake data for 13,957 individuals who participated in the Korean National Health and Nutrition Examination Survey (KNHANES), 2008 to 2010, which consisted of a health interview and behavioral and nutritional surveys. The KNHANES uses a stratified, multistage, probability-sampling design, and weighting adjustments were conducted to represent the entire population.

Results

Our analysis revealed that, overall, diabetics tended to have lower sodium intake (4,910.2 mg) than healthy individuals (5,188.2 mg). However, both diabetic and healthy individuals reported higher sodium intake than is recommended by the World Health Organization (WHO). Stratified subgroup analyses revealed that the sodium intake (4,314.2 mg) among newly diagnosed diabetics was higher among women when compared to patients with known diabetes (3,812.5 mg, P=0.035). Female diabetics with cardiovascular disease had lower average sodium intake compared to those without cardiovascular disease after adjusting for sex, age, body mass index, and total energy intake (P=0.058). Sodium intake among male diabetics with hypercholesterolemia (P=0.011) and female diabetics with hypertriglyceridemia (P=0.067) tended to be higher than that among those who without dyslipidemia.

Conclusion

The average sodium intake of diabetics in Korea was higher than the WHO recommends. Sodium intake in newly diagnosed diabetics was significantly higher than that in non-diabetics and previously diagnosed diabetics among females. Prospective studies are needed to identify the exact sodium intake.

Citations

Citations to this article as recorded by  
  • Salt Intake in Adults with Diabetes and Hypertension: The Longitudinal Study of Adult Health-Brasil Study
    Natália Gonçalves Ribeiro, Deborah F. Lelis, Rosane H. Griep, Sandhi M. Barreto, Maria del Carmen B Molina, Maria I. Schmidt, Bruce B. Duncan, Isabela Bensenor, Paulo A. Lotufo, José G. Mill, Marcelo Perim Baldo
    Metabolic Syndrome and Related Disorders.2024; 22(5): 356.     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
  • Higher Consumption of Dietary Sodium than RDA among the Patients of Diabetes Mellitus and Hypertension in the City of Aligarh: A Hospital-Based Study
    Roshina Bano, Anisa M. Durrani, Ajmal M.R.
    The Indian Journal of Nutrition and Dietetics.2024; : 121.     CrossRef
  • Effects of different diets on glycemic control among patients with type 2 diabetes: A literature review
    Maryam E Al-Adwi, Zinab M Al-Haswsa, Karmen M Alhmmadi, Yasmin A Eissa, Aya Hamdan, Hiba Bawadi, Reema F Tayyem
    Nutrition and Health.2023; 29(2): 215.     CrossRef
  • Dietary salt intake predicts future development of metabolic syndrome in the general population
    Hiroyuki Takase, Kazusa Hayashi, Fumihiko Kin, Suguru Nakano, Masashi Machii, Shin Takayama, Tomonori Sugiura, Yasuaki Dohi
    Hypertension Research.2023; 46(1): 236.     CrossRef
  • High Sodium Intake, as Assessed by Urinary Sodium Excretion, Is Associated with Nonalcoholic Fatty Liver Disease or Sarcopenia
    Eugene Han, Mi Kyung Kim, Seung-Soon Im, Hye Soon Kim, Taeg Kyu Kwon, Byoung Kuk Jang
    Gut and Liver.2023; 17(3): 456.     CrossRef
  • Trends of Dietary Intakes and Metabolic Diseases in Japanese Adults: Assessment of National Health Promotion Policy and National Health and Nutrition Survey 1995–2019
    Muhammad Fauzi, Indri Kartiko-Sari, Hemant Poudyal
    Journal of Clinical Medicine.2022; 11(9): 2350.     CrossRef
  • Determinants of Type 2 Diabetes Mellitus Among Adults in Dill-Chora Referral Hospital, Dire Dawa, East Ethiopia
    Tewodros Getnet Amera, Yibekal Manaye Tefera, Tameru Menberu, Aminu Mohammed Yassin
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 3565.     CrossRef
  • Dietary sodium and cardiovascular morbidity/mortality: a brief commentary on the ‘J-shape hypothesis’
    Christiana Tsirimiagkou, Kalliopi Karatzi, Antonios Argyris, Eirini D. Basdeki, Panagiota Kaloudi, Mary Yannakoulia, Athanase D. Protogerou
    Journal of Hypertension.2021; 39(12): 2335.     CrossRef
  • Associations of Dietary Salt and Its Sources with Hemoglobin A1c in Patients with Type 2 Diabetes Not Taking Anti-Diabetic Medications: Analysis Based on 6-Month Intervention with a Moderate Low-Carbohydrate Diet
    Hajime Haimoto, Takashi Murase, Shiho Watanabe, Keiko Maeda, Kenji Wakai
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4569.     CrossRef
  • Association of rheumatoid arthritis and high sodium intake with major adverse cardiovascular events: a cross-sectional study from the seventh Korean National Health and Nutrition Examination Survey
    Jeong-Hyeon Bae, Min-Young Shin, Eun Ha Kang, Yun Jong Lee, You-Jung Ha
    BMJ Open.2021; 11(12): e056255.     CrossRef
  • Nineteen-year trends in fermented food consumption and sodium intake from fermented foods for Korean adults from 1998 to 2016
    Sang Young Kim, Jeanne H Freeland-Graves, Hyun Ja Kim
    Public Health Nutrition.2020; 23(3): 515.     CrossRef
  • Dietary Sodium Intake and Health Indicators: A Systematic Review of Published Literature between January 2015 and December 2019
    Katherine J Overwyk, Zerleen S Quader, Joyce Maalouf, Marlana Bates, Jacqui Webster, Mary G George, Robert K Merritt, Mary E Cogswell
    Advances in Nutrition.2020; 11(5): 1174.     CrossRef
  • Lower Leg Fat Depots Are Associated with Albuminuria Independently of Obesity, Insulin Resistance, and Metabolic Syndrome (Korea National Health and Nutrition Examination Surveys 2008 to 2011)
    Eugene Han, Nan Hee Cho, Mi Kyung Kim, Hye Soon Kim
    Diabetes & Metabolism Journal.2019; 43(4): 461.     CrossRef
  • Factors Predicting Sodium Intake of Korean Americans with Type 2 Diabetes
    Jisook Ko, Kim B. Kim, Gayle M. Timmerman, Angela P. Clark, Miyong Kim
    Journal of Immigrant and Minority Health.2018; 20(3): 641.     CrossRef
  • Evaluation of the association between the number of natural teeth and anemia among Korean adults using nationally representative data
    Kyungdo Han, Jun‐Beom Park
    Journal of Periodontology.2018; 89(10): 1184.     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
  • 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
  • The Science of Salt: A regularly updated systematic review of the implementation of salt reduction interventions (March–August 2016)
    Joseph Alvin Santos, Kathy Trieu, Thout Sudhir Raj, JoAnne Arcand, Claire Johnson, Jacqui Webster, Rachael McLean
    The Journal of Clinical Hypertension.2017; 19(4): 439.     CrossRef
  • Salt-sensitive genes and their relation to obesity
    Yong-Pil Cheon, Myoungsook Lee
    Journal of Nutrition and Health.2017; 50(3): 217.     CrossRef
Review
Fibroblast Growth Factor 21 Protects against Atherosclerosis via Fine-Tuning the Multiorgan Crosstalk
Leigang Jin, Zhuofeng Lin, Aimin Xu
Diabetes Metab J. 2016;40(1):22-31.   Published online January 29, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.1.22
  • 10,068 View
  • 83 Download
  • 41 Web of Science
  • 37 Crossref
AbstractAbstract PDFPubReader   ePub   

Fibroblast growth factor 21 (FGF21) is a metabolic hormone with pleiotropic effects on energy metabolism and insulin sensitivity. Besides its antiobese and antidiabetic activity, FGF21 also possesses the protective effects against atherosclerosis. Circulating levels of FGF21 are elevated in patients with atherosclerosis, macrovascular and microvascular complications of diabetes, possibly due to a compensatory upregulation. In apolipoprotein E-deficient mice, formation of atherosclerotic plaques is exacerbated by genetic depletion of FGF21, but is attenuated upon replenishment with recombinant FGF21. However, the blood vessel is not the direct target of FGF21, and the antiatherosclerotic activity of FGF21 is attributed to its actions in adipose tissues and liver. In adipocytes, FGF21 promotes secretion of adiponectin, which in turn acts directly on blood vessels to reduce endothelial dysfunction, inhibit proliferation of smooth muscle cells and block conversion of macrophages to foam cells. Furthermore, FGF21 suppresses cholesterol biosynthesis and attenuates hypercholesterolemia by inhibiting the transcription factor sterol regulatory element-binding protein-2 in hepatocytes. The effects of FGF21 on elevation of adiponectin and reduction of hypercholesterolemia are also observed in a phase-1b clinical trial in patients with obesity and diabetes. Therefore, FGF21 exerts its protection against atherosclerosis by fine-tuning the interorgan crosstalk between liver, brain, adipose tissue, and blood vessels.

Citations

Citations to this article as recorded by  
  • Exerkine-mediated organ interactions: A new interpretation of exercise on cardiovascular function improvement
    Renhan Liu, Yue Xi, Xinyan Duan, Yifei Zhao, Zhenjun Tian
    Life Sciences.2025; 371: 123628.     CrossRef
  • Association between plasma proteomic dynamic changes and metabolic outcomes in patients undergoing bariatric surgery
    Candela Diaz-Canestro, Wah Yang, Jiarui Chen, Kit Cheung, Hao Han, Cunchuan Wang, Erfei Song, Kwan Ming Lee, Jiang Xue, Aimin Xu
    International Journal of Obesity.2025; 49(9): 1745.     CrossRef
  • Research progress on the role of FGF21 in insulin resistance
    Haixin Zhang, Rongyu Zhu, Quanhao Sun, Likun Du
    Frontiers in Endocrinology.2025;[Epub]     CrossRef
  • Promotion of Cardiovascular Homeostasis by the Perivascular Adipose Tissue Secretome
    Olivia R. Whittaker, Matthew D. Lynes, Ilka Pinz, Lucy Liaw
    International Journal of Molecular Sciences.2025; 26(20): 10173.     CrossRef
  • Fibroblast Growth Factor–Based Pharmacotherapies for the Treatment of Obesity-Related Metabolic Complications
    Leigang Jin, Ranyao Yang, Leiluo Geng, Aimin Xu
    Annual Review of Pharmacology and Toxicology.2023; 63(1): 359.     CrossRef
  • Efruxifermin, an investigational treatment for fibrotic or cirrhotic nonalcoholic steatohepatitis (NASH)
    Tobias Puengel, Frank Tacke
    Expert Opinion on Investigational Drugs.2023; 32(6): 451.     CrossRef
  • The role of perivascular adipose tissue-secreted adipocytokines in cardiovascular disease
    Meichao Cai, Dongsheng Zhao, Xiao Han, Shuang Han, Wenxin Zhang, Zhennan Zang, Chenchen Gai, Rong Rong, Tian Gao
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Pharmacological treatment with FGF21 strongly improves plasma cholesterol metabolism to reduce atherosclerosis
    Cong Liu, Milena Schönke, Enchen Zhou, Zhuang Li, Sander Kooijman, Mariëtte R Boon, Mikael Larsson, Kristina Wallenius, Niek Dekker, Louise Barlind, Xiao-Rong Peng, Yanan Wang, Patrick C N Rensen
    Cardiovascular Research.2022; 118(2): 489.     CrossRef
  • Relationship between Serum FGF21 and vWF Expression and Carotid Atherosclerosis in Elderly Patients with Hypertension
    Jing Bian, Lairong Chen, Qin Li, Yunfeng Zhao, Delu Yin, Shanhong Sun, Bhagyaveni M.A
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Serum FGF21 Levels Predict the MACE in Patients With Myocardial Infarction After Coronary Artery Bypass Graft Surgery
    Wei Xie, Dan Li, Yaru Shi, Ning Yu, Yu Yan, Yingchao Zhang, Qiongli Yu, Yulin Li, Jie Du, Zhuofeng Lin, Fan Wu
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Adipokines, adiposity, and atherosclerosis
    Longhua Liu, Zunhan Shi, Xiaohui Ji, Wenqian Zhang, Jinwen Luan, Tarik Zahr, Li Qiang
    Cellular and Molecular Life Sciences.2022;[Epub]     CrossRef
  • Change of Fibroblast Growth Factor 21 Level Correlates with the Severity of Diabetic Sensory Polyneuropathy after Six-Week Physical Activity
    Ágnes Molnár, Anita Szentpéteri, Hajnalka Lőrincz, Ildikó Seres, Mariann Harangi, Zoltán Balogh, Péter Kempler, György Paragh, Ferenc Sztanek
    Reviews in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Current understanding and controversies on the clinical implications of fibroblast growth factor 21
    Yasaman Badakhshi, Tianru Jin
    Critical Reviews in Clinical Laboratory Sciences.2021; 58(5): 311.     CrossRef
  • The potential role of plasma fibroblast growth factor 21 as a diagnostic biomarker for abdominal aortic aneurysm presence and development
    Ting Xie, Liangying Yin, Dan Guo, Zixin Zhang, Yuexin Chen, Bao Liu, Wei Wang, Yuehong Zheng
    Life Sciences.2021; 274: 119346.     CrossRef
  • Ultrasound-assisted C3F8-filled PLGA nanobubbles for enhanced FGF21 delivery and improved prophylactic treatment of diabetic cardiomyopathy
    Jiameng Gao, Jingjing Liu, Zheying Meng, Yanming Li, Yuping Hong, Lirui Wang, Lan He, Bing Hu, Yuanyi Zheng, Tianliang Li, Daxiang Cui, E. Shen
    Acta Biomaterialia.2021; 130: 395.     CrossRef
  • Effect of Fibroblast Growth Factor 21 on the Development of Atheromatous Plaque and Lipid Metabolic Profiles in an Atherosclerosis-Prone Mouse Model
    Hyo Jin Maeng, Gha Young Lee, Jae Hyun Bae, Soo Lim
    International Journal of Molecular Sciences.2020; 21(18): 6836.     CrossRef
  • The therapeutic potential of FGF21 in metabolic diseases: from bench to clinic
    Leiluo Geng, Karen S. L. Lam, Aimin Xu
    Nature Reviews Endocrinology.2020; 16(11): 654.     CrossRef
  • Two-hundred-liter scale fermentation, purification of recombinant human fibroblast growth factor-21, and its anti-diabetic effects on ob/ob mice
    Qi Hui, Zhen Huang, Shucai Pang, Xuanxin Yang, Jinghang Li, Bingjie Yu, Lu Tang, Xiaokun Li, Xiaojie Wang
    Applied Microbiology and Biotechnology.2019; 103(2): 719.     CrossRef
  • Fibroblast growth factor 21: A role in cardiometabolic disorders and cardiovascular risk prediction?
    Niki Katsiki, Christos Mantzoros
    Metabolism.2019; 93: iii.     CrossRef
  • Heparin‐poloxamer hydrogel‐encapsulated rhFGF21 enhances wound healing in diabetic mice
    Huan Liu, Yeli Zhao, Yuchi Zou, Wenting Huang, Liyun Zhu, Fei Liu, Dongxue Wang, Kaiming Guo, Jian Hu, Jun Chen, Lixia Ye, Xiaokun Li, Li Lin
    The FASEB Journal.2019; 33(9): 9858.     CrossRef
  • Fibroblast growth factor 21 association with subclinical atherosclerosis and arterial stiffness in type 2 diabetes
    Saeed Yafei, Fathy Elsewy, Eman Youssef, Mohammed Ayman, Mohamed El-Shafei
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(1): 882.     CrossRef
  • Myokines in metabolic homeostasis and diabetes
    Jürgen Eckel
    Diabetologia.2019; 62(9): 1523.     CrossRef
  • Inhibition of vascular neointima hyperplasia by FGF21 associated with FGFR1/Syk/NLRP3 inflammasome pathway in diabetic mice
    Wei Wei, Xiao-Xue Li, Ming Xu
    Atherosclerosis.2019; 289: 132.     CrossRef
  • LY2405319, an analog of fibroblast growth factor 21 ameliorates α-smooth muscle actin production through inhibition of the succinate—G-protein couple receptor 91 (GPR91) pathway in mice
    Cong Thuc Le, Giang Nguyen, So Young Park, Dae Hee Choi, Eun-Hee Cho, Partha Mukhopadhyay
    PLOS ONE.2018; 13(2): e0192146.     CrossRef
  • Relationship of Selected Adipokines with Markers of Vascular Damage in Patients with Type 2 Diabetes
    Jaromíra Spurná, David Karásek, Veronika Kubíčková, Dominika Goldmannová, Ondřej Krystyník, Jan Schovánek, Josef Zadražil
    Metabolic Syndrome and Related Disorders.2018; 16(5): 246.     CrossRef
  • Serum FGF21 Is Associated with Future Cardiovascular Events in Patients with Coronary Artery Disease
    Yun Shen, Xueli Zhang, Yiting Xu, Qin Xiong, Zhigang Lu, Xiaojing Ma, Yuqian Bao, Weiping Jia
    Cardiology.2018; 139(4): 212.     CrossRef
  • Relationship between Circulating FGF21 Concentrations and the Severity of Coronary Artery Damage in Subjects with Cardiovascular Disease
    Sung Don Park, Kwi-Hyun Bae, Yeon-Kyung Choi, Jae-Han Jeon, Jung Beom Seo, Namkyun Kim, Chang-Yeon Kim, Sung Woo Kim, Won Kee Lee, Jung Guk Kim, In-Kyu Lee, Jang Hoon Lee, Keun-Gyu Park
    Journal of Lipid and Atherosclerosis.2018; 7(1): 42.     CrossRef
  • Fibroblast growth factor 21 regulates foam cells formation and inflammatory response in Ox-LDL-induced THP-1 macrophages
    Nan Wang, Jun-yan Li, Shuai Li, Xiao-chen Guo, Tong Wu, Wen-fei Wang, De-shan Li
    Biomedicine & Pharmacotherapy.2018; 108: 1825.     CrossRef
  • Chip‐based high resolution tandem mass spectrometric determination of fibroblast growth factor—chondroitin sulfate disaccharides noncovalent interaction
    Adrian C. Robu, Laurentiu Popescu, Daniela G. Seidler, Alina D. Zamfir
    Journal of Mass Spectrometry.2018; 53(7): 624.     CrossRef
  • Conditioned medium from contracting skeletal muscle cells reverses insulin resistance and dysfunction of endothelial cells
    Yihe Zhao, Nana Li, Zhu Li, Da Zhang, Liming Chen, Zhi Yao, Wenyan Niu
    Metabolism.2018; 82: 36.     CrossRef
  • Dietary n-3 long-chain polyunsaturated fatty acids upregulate energy dissipating metabolic pathways conveying anti-obesogenic effects in mice
    Stefanie Worsch, Mathias Heikenwalder, Hans Hauner, Bernhard L. Bader
    Nutrition & Metabolism.2018;[Epub]     CrossRef
  • Metabolic Values of Fibroblasts Growth Factor 21 in Patients with Coronary Artery Disease and Obesity
    L. M. Pasiyeshvili, K. V. Ivanova
    Ukraïnsʹkij žurnal medicini, bìologìï ta sportu.2018; 3(4): 110.     CrossRef
  • FGF21 activates AMPK signaling: impact on metabolic regulation and the aging process
    Antero Salminen, Anu Kauppinen, Kai Kaarniranta
    Journal of Molecular Medicine.2017; 95(2): 123.     CrossRef
  • Regulation of longevity by FGF21: Interaction between energy metabolism and stress responses
    Antero Salminen, Kai Kaarniranta, Anu Kauppinen
    Ageing Research Reviews.2017; 37: 79.     CrossRef
  • Contribution of serum FGF21 level to the identification of left ventricular systolic dysfunction and cardiac death
    Yun Shen, Xueli Zhang, Xiaoping Pan, Yiting Xu, Qin Xiong, Zhigang Lu, Xiaojing Ma, Yuqian Bao, Weiping Jia
    Cardiovascular Diabetology.2017;[Epub]     CrossRef
  • Fibroblast growth factor 21 – a key player in cardiovascular disorders?
    Monika Lenart-Lipińska, Dariusz Duma, Magdalena Hałabiś, Marcin Dziedzic, Janusz Solski
    Hormone Molecular Biology and Clinical Investigation.2017;[Epub]     CrossRef
  • The role of fibroblast growth factor 21 in atherosclerosis
    John Kokkinos, Shudi Tang, Kerry-Anne Rye, Kwok Leung Ong
    Atherosclerosis.2017; 257: 259.     CrossRef
Original Article
Impact of Serum Triglyceride and High Density Lipoprotein Cholesterol Levels on Early-Phase Insulin Secretion in Normoglycemic and Prediabetic Subjects
Masanori Shimodaira, Tomohiro Niwa, Koji Nakajima, Mutsuhiro Kobayashi, Norinao Hanyu, Tomohiro Nakayama
Diabetes Metab J. 2014;38(4):294-301.   Published online August 20, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.4.294
  • 6,826 View
  • 46 Download
  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Increased triglycerides (TGs) and decreased high density lipoprotein cholesterol (HDL-C) levels are established as diabetic risks for nondiabetic subjects. The aim of this study was to investigate the relationship among TG, HDL-C, TG/HDL-C ratio, and early-phase insulin secretion in normoglycemic and prediabetic subjects.

Methods

We evaluated 663 Japanese subjects who underwent the 75-g oral glucose tolerance test. On the basis of these results, the subjects were divided into four groups: those with normal glucose tolerance (NGT; n=341), isolated impaired fasting glucose (i-IFG; n=211), isolated impaired glucose tolerance (i-IGT; n=71), and combined IFG and IGT (IFG+IGT; n=40). Insulin secretion was estimated by the insulinogenic index (IGI) (Δinsulin/Δglucose [30 to 0 minutes]) and disposition index (DI) (IGI/homeostasis model assessment of insulin resistance).

Results

In prediabetic subjects (i-IFG, i-IGT, and IFG+IGT), linear regression analyses revealed that IGI and DI were positively correlated with HDL-C levels. Moreover, in subjects with i-IGT and (IFG+IGT), but not with i-IFG, the indices of insulin secretion were negatively correlated with the log-transformed TG and TG/HDL-C ratio. In both the subjects with i-IGT, multivariate linear regression analyses revealed that DI was positively correlated with HDL-C and negatively with log-transformed TG and TG/HDL-C ratio. On the other hand, in subjects with NGT, there was no association between insulin secretion and lipid profiles.

Conclusion

These results revealed that serum TG and HDL-C levels have different impacts on early-phase insulin secretion on the basis of their glucose tolerance status.

Citations

Citations to this article as recorded by  
  • Elevated body fat percentage is linked to increased risk of diabetes: a longitudinal retrospective cohort study based on Chinese adults
    Weicong Pan, Shichun Cai, Zhenhua Huang, Ke Yu
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • A Comparative Study on Levels of hs-CRP and Lipid Profile in Prediabetic and Normal Population
    Maneesh Bains, Satpal Aloona, Gurvinder Singh, Rajneesh Bains
    Journal of Pharmacy and Bioallied Sciences.2024; 16(Suppl 3): S2188.     CrossRef
  • The protective effects of lipoxin A4 on type 2 diabetes mellitus: A Chinese prospective cohort study
    Sudan Wang, Xiaoyan Qian, Chao Shen, Qian Sun, Yang Jing, Bingyue Liu, Kexin Zhang, Mengyuan Li, Junrong Wang, Hui Zhou, Chen Dong
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Interaction between the GCKR rs1260326 variant and serum HDL cholesterol contributes to HOMA-β and ISIMatusda in the middle-aged T2D individuals
    Min Shen, Liying Jiang, Hechun Liu, Hao Dai, Hemin Jiang, Yu Qian, Zhixiao Wang, Shuai Zheng, Heng Chen, Tao Yang, Qi Fu, Kuanfeng Xu
    Journal of Human Genetics.2023; 68(12): 835.     CrossRef
  • Elevated triglyceride/high-density lipoprotein-cholesterol ratio as a risk factor for progression to prediabetes: a 5-year retrospective cohort study in Japan
    Masanori Shimodaira, Yu Minemura, Tomohiro Nakayama
    Journal of Diabetes & Metabolic Disorders.2023; 23(1): 655.     CrossRef
  • Association ofTG/HDLCratio trajectory and risk of type 2 diabetes: A retrospective cohort study inChina
    Yanyan Zhang, Pei Qin, Yanmei Lou, Ping Zhao, Xue Li, Ranran Qie, Xiaoyan Wu, Minghui Han, Shengbing Huang, Yang Zhao, Dechen Liu, Yuying Wu, Yang Li, Xingjin Yang, Yang Zhao, Yifei Feng, Changyi Wang, Jianping Ma, Xiaolin Peng, Hongen Chen, Dan Zhao, Sha
    Journal of Diabetes.2021; 13(5): 402.     CrossRef
  • Triglycerides/high-density lipoprotein cholesterol is a predictor similar to the triglyceride–glucose index for the diagnosis of metabolic syndrome using International Diabetes Federation criteria of insulin resistance in obese adolescents: a cross-sectio
    Nazlı Nur Aslan Çin, Hülya Yardımcı, Nevra Koç, Seyit Ahmet Uçaktürk, Mehtap Akçil Ok
    Journal of Pediatric Endocrinology and Metabolism.2020; 33(6): 777.     CrossRef
  • Comparison of Serum PCSK9 Levels in Subjects with Normoglycemia, Impaired Fasting Glucose, and Impaired Glucose Tolerance
    Eugene Han, Nan Hee Cho, Seong-Su Moon, Hochan Cho
    Endocrinology and Metabolism.2020; 35(2): 480.     CrossRef
  • Triglycerides/glucose index is a useful surrogate marker of insulin resistance among adolescents
    B Kang, Y Yang, E Y Lee, H K Yang, H-S Kim, S-Y Lim, J-H Lee, S-S Lee, B-K Suh, K-H Yoon
    International Journal of Obesity.2017; 41(5): 789.     CrossRef
  • The TyG index may predict the development of cardiovascular events
    Laura Sánchez‐Íñigo, David Navarro‐González, Alejandro Fernández‐Montero, Juan Pastrana‐Delgado, Jose Alfredo Martínez
    European Journal of Clinical Investigation.2016; 46(2): 189.     CrossRef
  • TyG Index Change Is More Determinant for Forecasting Type 2 Diabetes Onset Than Weight Gain
    David Navarro-González, Laura Sánchez-Íñigo, Alejandro Fernández-Montero, Juan Pastrana-Delgado, Jose Alfredo Martinez
    Medicine.2016; 95(19): e3646.     CrossRef
  • Comparative analysis of the efficacy of omega-3 fatty acids for hypertriglyceridaemia management in Korea
    H.-S. Kim, H. Kim, Y. J. Jeong, S. J. Yang, S. J. Baik, H. Lee, S.-H. Lee, J. H. Cho, I.-Y. Choi, H. W. Yim, K.-H. Yoon
    Journal of Clinical Pharmacy and Therapeutics.2016; 41(5): 508.     CrossRef
  • Relationship between insulin sensitivity and insulin secretion rate: not necessarily hyperbolic
    S. H. Kim, A. Silvers, J. Viren, G. M. Reaven
    Diabetic Medicine.2016; 33(7): 961.     CrossRef
  • The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of insulin resistance but not of β cell function in a Chinese population with different glucose tolerance status
    Meicen Zhou, Lixin Zhu, Xiangli Cui, Linbo Feng, Xuefeng Zhao, Shuli He, Fan Ping, Wei Li, Yuxiu Li
    Lipids in Health and Disease.2016;[Epub]     CrossRef
  • Interactive effects of C-reactive protein levels on the association between APOE variants and triglyceride levels in a Taiwanese population
    Semon Wu, Lung-An Hsu, Ming-Sheng Teng, Jeng-Feng Lin, Hsin-Hua Chou, Ming-Cheng Lee, Yi-Ming Wu, Cheng-Wen Su, Yu-Lin Ko
    Lipids in Health and Disease.2016;[Epub]     CrossRef
  • Lipoproteins and β-Cell Functions: From Basic to Clinical Data
    Dae Ho Lee
    Diabetes & Metabolism Journal.2014; 38(4): 274.     CrossRef
Review
Ubiquitin Ligases in Cholesterol Metabolism
Wei Jiang, Bao-Liang Song
Diabetes Metab J. 2014;38(3):171-180.   Published online June 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.3.171
  • 8,810 View
  • 81 Download
  • 19 Web of Science
  • 17 Crossref
AbstractAbstract PDFPubReader   ePub   

To maintain cholesterol homeostasis, the processes of cholesterol metabolism are regulated at multiple levels including transcription, translation, and enzymatic activity. Recently, the regulation of protein stability of some key players in cholesterol metabolism has been characterized. More and more ubiquitin ligases have been identified including gp78, Hrd1, TRC8, TEB4, Fbw7, and inducible degrader of low density lipoprotein receptor. Their working mechanisms and physiological functions are becoming revealed. Here, we summarize the structure, substrates and function of these ubiquitin ligases. Their potential application in drug discovery is also discussed.

Citations

Citations to this article as recorded by  
  • Cholesterol suppresses AMFR-mediated PDL1 ubiquitination and degradation in HCC
    Wei-Qing Shao, Yi-Tong Li, Xu Zhou, Sheng-Guo Zhang, Ming-Hao Fan, Dong Zhang, Zhen-Mei Chen, Chen-He Yi, Sheng-Hao Wang, Wen-Wei Zhu, Ming Lu, Ji-Song Chen, Jing Lin, Yu Zhou
    Molecular and Cellular Biochemistry.2025; 480(3): 1807.     CrossRef
  • An Integrated Machine Learning Framework for Developing and Validating a Diagnostic Model of Hub Genes Related to Lipid Metabolism in Chronic Rhinosinusitis
    Panhui Xiong, Lei Liu, Jingting Pi, Ji Wang, Tao Lu, Xia Ke, Yu Jiang, Yang Shen, Yucheng Yang
    Journal of Inflammation Research.2025; Volume 18: 10081.     CrossRef
  • Proteostasis disruption and lipid dyshomeostasis in neurodegeneration: exploring common druggable targets across sporadic and monogenic disorders
    Priscila Pereira Sena, Lea Friedrich, Alcibiades Villarreal, Florian Fath, Liubovi Sopco, Mar Hernández-Guillamon, Maria Luiza Saraiva-Pereira, Gabrielle Britton, Jonasz Jeremiasz Weber, Thorsten Schmidt
    Frontiers in Molecular Neuroscience.2025;[Epub]     CrossRef
  • Quantitative Assessment of Arsenite-Induced Perturbation of Ubiquitinated Proteome
    Ji Jiang, Yinsheng Wang
    Chemical Research in Toxicology.2022; 35(9): 1589.     CrossRef
  • HRD1 inhibits fatty acid oxidation and tumorigenesis by ubiquitinating CPT2 in triple‐negative breast cancer
    Xin Guo, Aman Wang, Wen Wang, Ya Wang, Huan Chen, Xiaolong Liu, Tian Xia, Aijia Zhang, Di Chen, Huan Qi, Ting Ling, Hai‐long Piao, Hong‐jiang Wang
    Molecular Oncology.2021; 15(2): 642.     CrossRef
  • The E3 Ubiquitin Ligase Ring Finger Protein 5 Ameliorates NASH Through Ubiquitin‐Mediated Degradation of 3‐Hydroxy‐3‐Methylglutaryl CoA Reductase Degradation Protein 1
    Qin Yang, Xi Chen, Yanfang Zhang, Sha Hu, Fengjiao Hu, Yongping Huang, Tengfei Ma, Heng Hu, Han Tian, Song Tian, Yan‐Xiao Ji, Zhi‐Gang She, Peng Zhang, Xiao‐Jing Zhang, Yufeng Hu, Hailong Yang, Yufeng Yuan, Hongliang Li
    Hepatology.2021; 74(6): 3018.     CrossRef
  • Competitive oxidation and ubiquitylation on the evolutionarily conserved cysteine confer tissue-specific stabilization of Insig-2
    Zhang-Sen Zhou, Mei-Xin Li, Jie Liu, Hengwu Jiao, Jing-Ming Xia, Xiong-Jie Shi, Huabin Zhao, Liping Chu, Jingrong Liu, Wei Qi, Jie Luo, Bao-Liang Song
    Nature Communications.2020;[Epub]     CrossRef
  • Twin enzymes, divergent control: The cholesterogenic enzymes DHCR14 and LBR are differentially regulated transcriptionally and post-translationally
    Isabelle M. Capell-Hattam, Laura J. Sharpe, Lydia Qian, Gene Hart-Smith, Anika V. Prabhu, Andrew J. Brown
    Journal of Biological Chemistry.2020; 295(9): 2850.     CrossRef
  • Differential use of E2 ubiquitin conjugating enzymes for regulated degradation of the rate-limiting enzymes HMGCR and SQLE in cholesterol biosynthesis
    Josephine M.E. Tan, Emma C.L. Cook, Marlene van den Berg, Saskia Scheij, Noam Zelcer, Anke Loregger
    Atherosclerosis.2019; 281: 137.     CrossRef
  • Ring finger protein 145 (RNF145) is a ubiquitin ligase for sterol-induced degradation of HMG-CoA reductase
    Lu-Yi Jiang, Wei Jiang, Na Tian, Yan-Ni Xiong, Jie Liu, Jian Wei, Kai-Yue Wu, Jie Luo, Xiong-Jie Shi, Bao-Liang Song
    Journal of Biological Chemistry.2018; 293(11): 4047.     CrossRef
  • ER-associated ubiquitin ligase HRD1 programs liver metabolism by targeting multiple metabolic enzymes
    Juncheng Wei, Yanzhi Yuan, Lu Chen, Yuanming Xu, Yuehui Zhang, Yajun Wang, Yanjie Yang, Clara Bien Peek, Lauren Diebold, Yi Yang, Beixue Gao, Chaozhi Jin, Johanna Melo-Cardenas, Navdeep S. Chandel, Donna D. Zhang, Hui Pan, Kezhong Zhang, Jian Wang, Fuchu
    Nature Communications.2018;[Epub]     CrossRef
  • Proteostatic Tactics in the Strategy of Sterol Regulation
    Margaret A. Wangeline, Nidhi Vashistha, Randolph Y. Hampton
    Annual Review of Cell and Developmental Biology.2017; 33(1): 467.     CrossRef
  • Transcriptional and post-translational changes in the brain of mice deficient in cholesterol removal mediated by cytochrome P450 46A1 (CYP46A1)
    Natalia Mast, Joseph B. Lin, Kyle W. Anderson, Ingemar Bjorkhem, Irina A. Pikuleva, Jean-Marc A Lobaccaro
    PLOS ONE.2017; 12(10): e0187168.     CrossRef
  • USP19-Mediated Deubiquitination Facilitates the Stabilization of HRD1 Ubiquitin Ligase
    Kumi Harada, Masako Kato, Nobuhiro Nakamura
    International Journal of Molecular Sciences.2016; 17(11): 1829.     CrossRef
  • Effect of a Traditional Japanese Dish Consisting of Boiled Fish Paste on Lipid Metabolism in Rats
    Yausna Kitano, Yumiko Nakamura, Shuang E, Yu Hatakeyama, Kazushi Yamamoto, Yu Sakamoto, Tsuyoshi Tsuduki, Kiyotaka Nakagawa, Teruo Miyazawa
    NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI.2015; 62(4): 182.     CrossRef
  • Canalicular membrane MRP2/ABCC2 internalization is determined by Ezrin Thr567 phosphorylation in human obstructive cholestasis
    Jin Chai, Shi-Ying Cai, Xiaocong Liu, Wei Lian, Sheng Chen, Liangjun Zhang, Xinchan Feng, Ying Cheng, Xiaochong He, Yu He, Lei Chen, Rongquan Wang, Huaizhi Wang, James L. Boyer, Wensheng Chen
    Journal of Hepatology.2015; 63(6): 1440.     CrossRef
  • The UPS and downs of cholesterol homeostasis
    Laura J. Sharpe, Emma C.L. Cook, Noam Zelcer, Andrew J. Brown
    Trends in Biochemical Sciences.2014; 39(11): 527.     CrossRef
Original Article
Statin Discontinuation after Achieving a Target Low Density Lipoprotein Cholesterol Level in Type 2 Diabetic Patients without Cardiovascular Disease: A Randomized Controlled Study
Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Seung-Hyun Ko, Yoon-Hee Choi, Kun-Ho Yoon, Yu-Bae Ahn
Diabetes Metab J. 2014;38(1):64-73.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.64
  • 8,843 View
  • 66 Download
  • 19 Web of Science
  • 18 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

This study investigated the rate of relapse of dyslipidemia and the factors which could predict relapse following a short-term statin discontinuation after achieving a target low density lipoprotein cholesterol (LDL-C) level in type 2 diabetic patients without cardiovascular disease (CVD).

Methods

Ninety-nine subjects on rosuvastatin treatment and whose LDL-C level was lower than 100 mg/dL were randomly assigned to discontinue or maintain statin treatment at a 2:1 ratio. The subjects were followed-up after 10 weeks. A relapse of dyslipidemia was defined as a reascent of LDL-C level to greater than 100 mg/dL.

Results

The statin discontinuation group had a significant rate of relapse compared to the maintenance group (79% vs. 3%, respectively). Pretreatment and baseline lipid levels, their ratios, and hemoglobin A1c level were significantly different between the relapse and nonrelapse groups. The pretreatment and baseline lipid profiles and their ratios were independently associated with relapse. The pretreatment LDL-C level was the most useful parameter for predicting a relapse, with a cutoff of 123 mg/dL. During the follow-up period, no CVD event was noted.

Conclusion

The relapse rate of dyslipidemia was high when statins were discontinued in type 2 diabetic patients without CVD. Statin discontinuation should be considered carefully based on the pretreatment lipid profiles of patients.

Citations

Citations to this article as recorded by  
  • Longitudinal exposure to non‐HDL‐C and cardiovascular events, all‐cause mortality in type 2 diabetes: A post hoc analysis of the ACCORD trial
    Yueyue Wang, Xi Meng, Xiaoyun Zhang, Mian Li, Tiange Wang, Zhiyun Zhao, Jieli Lu, Min Xu, Jie Zheng, Weiqing Wang, Guang Ning, Yufang Bi, Yu Xu
    Diabetes, Obesity and Metabolism.2026;[Epub]     CrossRef
  • Trials evaluating drug discontinuation: a scoping review sub-analysis focusing on outcomes and research questions
    Nele Kornder, Norbert Donner-Banzhoff, Ina Staudt, Nina Grede, Annette Becker, Annika Viniol
    BMC Medical Research Methodology.2025;[Epub]     CrossRef
  • Postmarketing Reports of Incomplete Dosing-Related Complications with Self-Injected PCSK9 Inhibitors: A Descriptive Study and Disproportionality Analysis
    Richard H. Woods
    BioDrugs.2024; 38(4): 589.     CrossRef
  • Cardiovascular Outcomes and Mortality Associated With Discontinuing Statins in Older Patients Receiving Polypharmacy
    Federico Rea, Annalisa Biffi, Raffaella Ronco, Matteo Franchi, Simona Cammarota, Anna Citarella, Valeria Conti, Amelia Filippelli, Carmine Sellitto, Giovanni Corrao
    JAMA Network Open.2021; 4(6): e2113186.     CrossRef
  • Visit-to-visit variability of lipid measurements and the risk of myocardial infarction and all-cause mortality: A prospective cohort study
    Xiaoxue Liu, Shouling Wu, Qiaofeng Song, Xizhu Wang
    Atherosclerosis.2020; 312: 110.     CrossRef
  • 2018 Guidelines for the management of dyslipidemia
    Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
    The Korean Journal of Internal Medicine.2019; 34(4): 723.     CrossRef
  • 2018 Guidelines for the Management of Dyslipidemia in Korea
    Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
    Journal of Lipid and Atherosclerosis.2019; 8(2): 78.     CrossRef
  • Patterns of statin use and long‐term adherence and persistence among older adults with diabetes
    Richard Ofori‐Asenso, Jenni Ilomäki, Mark Tacey, Ella Zomer, Andrea J. Curtis, J. Simon Bell, Sophia Zoungas, Danny Liew
    Journal of Diabetes.2018; 10(9): 699.     CrossRef
  • Effect of visit-to-visit LDL-, HDL-, and non-HDL-cholesterol variability on mortality and cardiovascular outcomes after percutaneous coronary intervention
    Eun Young Lee, Yeoree Yang, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Wook Sung Chung, Seung-Hwan Lee, Kiyuk Chang
    Atherosclerosis.2018; 279: 1.     CrossRef
  • Change in ALT levels after administration of HMG‐CoA reductase inhibitors to subjects with pretreatment levels three times the upper normal limit in clinical practice
    Hyunah Kim, Hyeseon Lee, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
    Cardiovascular Therapeutics.2018;[Epub]     CrossRef
  • Orthodox religious fasting as a medical nutrition therapy for dyslipidemia: where do we stand and how far can we go?
    Theocharis Koufakis, Spyridon N Karras, Pantelis Zebekakis, Kalliopi Kotsa
    European Journal of Clinical Nutrition.2018; 72(4): 474.     CrossRef
  • Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization
    Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu, Katriina Aalto-Setala
    PLOS ONE.2018; 13(6): e0197518.     CrossRef
  • Impact of educational outreach intervention on enhancing health care providers' knowledge about statin therapy prescribing in Malaysian patients with type 2 diabetes mellitus
    Mohamed Hassan Elnaem, Mohamad Haniki Nik Mohamed, Hasniza Zaman Huri, Shah M Azarisman
    Journal of Evaluation in Clinical Practice.2018; 24(3): 521.     CrossRef
  • Use of Moderate‐Intensity Statins for Low‐Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans
    Hun‐Sung Kim, Hyeseon Lee, Sue Hyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung‐Hwan Lee, Jae Hyoung Cho, In‐Young Choi, Kun‐Ho Yoon, Ju Han Kim
    Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 272.     CrossRef
  • Cholesterol variability and the risk of mortality, myocardial infarction, and stroke: a nationwide population-based study
    Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Yong-Moon Park, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
    European Heart Journal.2017; 38(48): 3560.     CrossRef
  • Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
    Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
    Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292.     CrossRef
  • The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG‐CoA reductase inhibitors prescribed in Korean patients
    Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • Statin for the Primary Prevention of Cardiovascular Disease in Patients with Diabetes Mellitus
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2014; 38(1): 32.     CrossRef
Sulwon Lecture 2012
Intestinal and Hepatic Niemann-Pick C1-Like 1
Sung-Woo Park
Diabetes Metab J. 2013;37(4):240-248.   Published online August 14, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.4.240
  • 8,688 View
  • 58 Download
  • 24 Crossref
AbstractAbstract PDFPubReader   ePub   

Polytopic transmembrane protein, Niemann-Pick C1-Like 1 (NPC1L1) is localized at the apical membrane of enterocytes and the canalicular membrane of hepatocytes. It mediates intestinal cholesterol absorption and prevents extensive loss of cholesterol by transporting biliary cholesterol into hepatocytes. NPC1L1 is a molecular target of ezetimibe, an agent for hypercholesterolemia. Recently, NPC1L1 inhibition has been shown to prevent metabolic disorders such as fatty liver disease, obesity, diabetes, and atherosclerosis. In this review, the identification and characterization of NPC1L1, NPC1L1-dependent cholesterol transport, the relationship with pathogenesis of metabolic disease and its newly introduced function for virus entry are discussed.

Citations

Citations to this article as recorded by  
  • The Role of Cholesterol Metabolism and Its Regulation in Tumor Development
    Yongmei Wu, Wenqian Song, Min Su, Jing He, Rong Hu, Youbo Zhao
    Cancer Medicine.2025;[Epub]     CrossRef
  • Multifunctional nanoparticle-mediated combining therapy for human diseases
    Xiaotong Li, Xiuju Peng, Makhloufi Zoulikha, George Frimpong Boafo, Kosheli Thapa Magar, Yanmin Ju, Wei He
    Signal Transduction and Targeted Therapy.2024;[Epub]     CrossRef
  • Exosome prospects in the diagnosis and treatment of non-alcoholic fatty liver disease
    Amirhossein Tamimi, Mona Javid, Nasrin Sedighi-Pirsaraei, Arian Mirdamadi
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Ezetimibe Induces Paraptosis through Niemann–Pick C1-like 1 Inhibition of Mammalian-Target-of-Rapamycin Signaling in Hepatocellular Carcinoma Cells
    Yuting Yin, Chun Wu, Yufeng Zhou, Meiyin Zhang, Shijuan Mai, Minshan Chen, Hui-Yun Wang
    Genes.2023; 15(1): 4.     CrossRef
  • Ezetimibe and Cancer: Is There a Connection?
    Jia Gu, Neng Zhu, Hong-Fang Li, Chan-Juan Zhang, Yong-Zhen Gong, Duan-Fang Liao, Li Qin
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • The role of NPC1L1 in cancer
    Renshuai Zhang, Jun Zeng, Wenjing Liu, Jingsen Meng, Chao Wang, Lingyu Shi, Shanbo Yang, Jing Chang, Dongming Xing
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • Development of a Diabetic Foot Ulceration Prediction Model and Nomogram
    Eun Joo Lee, Ihn Sook Jeong, Seung Hun Woo, Hyuk Jae Jung, Eun Jin Han, Chang Wan Kang, Sookyung Hyun
    Journal of Korean Academy of Nursing.2021; 51(3): 280.     CrossRef
  • Structural insights into the mechanism of human NPC1L1-mediated cholesterol uptake
    Miaoqing Hu, Fan Yang, Yawen Huang, Xin You, Desheng Liu, Shan Sun, Sen-Fang Sui
    Science Advances.2021;[Epub]     CrossRef
  • Comparison of the Efficacy and Safety of Rosuvastatin/Ezetimibe Combination Therapy and Rosuvastatin Monotherapy on Lipoprotein in Patients With Type 2 Diabetes: Multicenter Randomized Controlled Study
    Jiwoo Lee, You-Cheol Hwang, Woo Je Lee, Jong Chul Won, Kee-Ho Song, Cheol-Young Park, Kyu Jeung Ahn, Joong-Yeol Park
    Diabetes Therapy.2020; 11(4): 859.     CrossRef
  • Serum, liver and bile sitosterol and sitostanol in obese patients with and without NAFLD
    Milla-Maria Tauriainen, Ville Männistö, Dorota Kaminska, Maija Vaittinen, Vesa Kärjä, Pirjo Käkelä, Sari Venesmaa, Helena Gylling, Jussi Pihlajamäki
    Bioscience Reports.2018;[Epub]     CrossRef
  • Comparison of the Effects of Ezetimibe-Statin Combination Therapy on Major Adverse Cardiovascular Events in Patients with and without Diabetes: A Meta-Analysis
    Namki Hong, Yong-ho Lee, Kenichi Tsujita, Jorge A. Gonzalez, Christopher M. Kramer, Tomas Kovarnik, George N. Kouvelos, Hiromichi Suzuki, Kyungdo Han, Chan Joo Lee, Sung Ha Park, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang
    Endocrinology and Metabolism.2018; 33(2): 219.     CrossRef
  • Ezetimibe ameliorates steatohepatitis via AMP activated protein kinase-TFEB-mediated activation of autophagy and NLRP3 inflammasome inhibition
    Soo Hyun Kim, Gyuri Kim, Dai Hoon Han, Milim Lee, Irene Kim, Bohkyung Kim, Kook Hwan Kim, Young-Mi Song, Jeong Eun Yoo, Hye Jin Wang, Soo Han Bae, Yong-Ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Myung-Shik Lee
    Autophagy.2017; 13(10): 1767.     CrossRef
  • The Interpretation of Cholesterol Balance Derived Synthesis Data and Surrogate Noncholesterol Plasma Markers for Cholesterol Synthesis under Lipid Lowering Therapies
    Frans Stellaard, Dieter Lütjohann
    Cholesterol.2017; 2017: 1.     CrossRef
  • Antileishmanial Activity of Ezetimibe: Inhibition of Sterol Biosynthesis, In Vitro Synergy with Azoles, and Efficacy in Experimental Cutaneous Leishmaniasis
    Valter Viana Andrade-Neto, Edézio Ferreira Cunha-Júnior, Marilene Marcuzzo do Canto-Cavalheiro, Geórgia Correa Atella, Talita de Almeida Fernandes, Paulo Roberto Ribeiro Costa, Eduardo Caio Torres-Santos
    Antimicrobial Agents and Chemotherapy.2016; 60(11): 6844.     CrossRef
  • The P72R Polymorphism of p53 Predisposes to Obesity and Metabolic Dysfunction
    Che-Pei Kung, Julia I-Ju Leu, Subhasree Basu, Sakina Khaku, Frederick Anokye-Danso, Qin Liu, Donna L. George, Rexford S. Ahima, Maureen E. Murphy
    Cell Reports.2016; 14(10): 2413.     CrossRef
  • Increased postprandial apolipoprotein B-48 level after a test meal in diabetic patients: A multicenter, cross-sectional study
    Cheol-Young Park, Joong-Yeol Park, Jongwon Choi, Dae Jung Kim, Kyong Soo Park, Kun-Ho Yoon, Moon-Kyu Lee, Sung-Woo Park
    Metabolism.2016; 65(6): 843.     CrossRef
  • Relationship between fruit and fish intakes and cardiovascular disease risk factors in Korean women with type 2 diabetes mellitus: Based on the 4th and 5th Korea National Health and Nutrition Examination Surveys
    Ji Soo Oh, Hyesook Kim, Ki Nam Kim, Namsoo Chang
    Journal of Nutrition and Health.2016; 49(5): 304.     CrossRef
  • Plant sterols: Friend or foe in CNS disorders?
    Tim Vanmierlo, Jeroen F.J. Bogie, Jo Mailleux, Jasmine Vanmol, Dieter Lütjohann, Monique Mulder, Jerome J.A. Hendriks
    Progress in Lipid Research.2015; 58: 26.     CrossRef
  • Ezetimibe Stimulates Intestinal Glucagon-Like Peptide 1 Secretion Via the MEK/ERK Pathway Rather Than Dipeptidyl Peptidase 4 Inhibition
    Eugene Chang, Lisa Kim, Jung Mook Choi, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Dong Il Park, Cheol-Young Park
    Metabolism.2015; 64(5): 633.     CrossRef
  • Intestinal absorption characteristics of imperialine: in vitro and in situ assessments
    Qing Lin, Li-qin Ling, Ling Guo, Tao Gong, Xun Sun, Zhi-rong Zhang
    Acta Pharmacologica Sinica.2015; 36(7): 863.     CrossRef
  • Ezetimibe improves hepatic steatosis in relation to autophagy in obese and diabetic rats
    Eugene Chang
    World Journal of Gastroenterology.2015; 21(25): 7754.     CrossRef
  • Vitamin E Transporters in Cancer Therapy
    Saeed Alqahtani, Amal Kaddoumi
    The AAPS Journal.2015; 17(2): 313.     CrossRef
  • Future therapeutic targets for the treatment and prevention of cholesterol gallstones
    Ibrahim Guillermo Castro-Torres, René de Jesús Cárdenas-Vázquez, Claudia Velázquez-González, Rosa Ventura-Martínez, Minarda De la O-Arciniega, Elia Brosla Naranjo-Rodríguez, Mariano Martínez-Vázquez
    European Journal of Pharmacology.2015; 765: 366.     CrossRef
  • Membrane composition and dynamics: A target of bioactive virgin olive oil constituents
    Sergio Lopez, Beatriz Bermudez, Sergio Montserrat-de la Paz, Sara Jaramillo, Lourdes M. Varela, Almudena Ortega-Gomez, Rocio Abia, Francisco J.G. Muriana
    Biochimica et Biophysica Acta (BBA) - Biomembranes.2014; 1838(6): 1638.     CrossRef
Original Articles
Low Density Lipoprotein Cholesterol Target Goal Attainment Rate and Physician Perceptions about Target Goal Achievement in Korean Patients with Diabetes
Jenie Yoonoo Hwang, Chang Hee Jung, Woo Je Lee, Cheol Young Park, Sung Rae Kim, Kun-Ho Yoon, Moon Kyu Lee, Sung Woo Park, Joong-Yeol Park
Diabetes Metab J. 2011;35(6):628-636.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.628
  • 7,127 View
  • 51 Download
  • 21 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

This study aims to investigate the discrepancy between clinicians' perceptions and actual achievement rates of low density lipoprotein cholesterol (LDL-C) in Korean patients with diabetes according to updated American Diabetes Association (ADA)/American College of Cardiology Foundation (ACC) recommendations.

Methods

This is a multi-center, retrospective, non-interventional, observational study. Diabetic patients aged 18 years or older were eligible if they had been diagnosed with hypercholesterolemia or were receiving a lipid-lowering therapy between May 2010 and August 2010. The information was obtained by reviewing medical records and using a self-completed questionnaire to examine physician perceptions.

Results

A total of 2,591 subjects who satisfied the inclusion criteria were enrolled. Highest-risk and high-risk patients accounted for 61.9% and 38.1% of the patients, respectively. Although most (96.3%) underwent a statin monotherapy or a statin-based combination therapy, just 47.4% of patients attained the LDL-C target. However, the physicians' perceptions on target achievement rate (70.6%) were different from the actual results (47.4%). Many patients (65.3%) remained on the starting doses of statins, despite evidence of poor achievement of lipid goals.

Conclusion

Only less than half of patients with diabetes attained the LDL-C goal. The surveys showed that poor physician performance might be due to the lack of recognition on ADA/ACC consensus causing a low LDL-C target attainment rate. Therefore, changes in doctor perception are needed to attain target LDL-C level and reduce cardiovascular risk in Korean patients with diabetes.

Citations

Citations to this article as recorded by  
  • Cardiovascular risk and lipid control in older adults: Compliance with LDL and non-HDL cholesterol and triglyceride goals in a national cross-sectional study
    Cristian Orlando Porras Bueno, Jesús Andres Beltrán España, Carolina Murgueitio Guzmán, Cándida Diaz-Brochero, Ángel Alberto García Peña
    Journal of Clinical Lipidology.2025; 19(4): 869.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Impact of physician's perception about LDL cholesterol control in clinical practice when treating patients in Spain
    Juan Cosín-Sales, Raquel Campuzano Ruiz, José Luis Díaz Díaz, Carlos Escobar Cervantes, María Rosa Fernández Olmo, Juan José Gómez-Doblas, José María Mostaza, Juan Pedro-Botet, Núria Plana Gil, Pedro Valdivielso
    Atherosclerosis.2023; 375: 38.     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
  • Lipid-lowering treatment intensity, persistence, adherence and goal attainment in patients with coronary heart disease
    Faizan Mazhar, Paul Hjemdahl, Catherine M Clase, Kristina Johnell, Tomas Jernberg, Juan Jesus Carrero
    American Heart Journal.2022; 251: 78.     CrossRef
  • Evaluation of efficacy and safety of combined rosuvastatin and atorvastatin in treating with coronary heart disease
    Ke Li, Meng-Meng Liu, Xin Yang, Li Chen, Hui Geng, Wei Luo, Jie Ma
    Medicine.2021; 100(24): e26340.     CrossRef
  • Achievement of LDL-C Targets Defined by ESC/EAS (2011) Guidelines in Risk-Stratified Korean Patients with Dyslipidemia Receiving Lipid-Modifying Treatments
    Ye Seul Yang, Seo Young Lee, Jung-Sun Kim, Kyung Mook Choi, Kang Wook Lee, Sang-Chol Lee, Jung Rae Cho, Seung-Jin Oh, Ji-Hyun Kim, Sung Hee Choi
    Endocrinology and Metabolism.2020; 35(2): 367.     CrossRef
  • Low-density lipoprotein cholesterol goal attainment rates in high-risk patients with cardiovascular diseases and diabetes mellitus in Korea: a retrospective cohort study
    Ye Seul Yang, Bo Ram Yang, Mi-Sook Kim, Yunji Hwang, Sung Hee Choi
    Lipids in Health and Disease.2020;[Epub]     CrossRef
  • Dyslipidemia and Rate of Under-Target Low-Density Lipoprotein-Cholesterol in Patients with Coronary Artery Disease in Korea
    Sang-Hak Lee, Woo-Hyuk Song, Myung Ho Jeong, Seung-Ho Hur, Dong Woon Jeon, Wonju Jeung, Anselm K Gitt, Martin Horack, Ami Vyas, Dominik Lautsch, Baishali Ambegaonkar, Philippe Brudi, Yangsoo Jang
    Journal of Lipid and Atherosclerosis.2019; 8(2): 242.     CrossRef
  • Statin use and site-specific risk of colorectal cancer in individuals with hypercholesterolemia from the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS)
    Jae-Woo Lee, Na-Young You, Yeseul Kim, Yonghwan Kim, Joungyoun Kim, Hee-Taik Kang
    Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(7): 701.     CrossRef
  • Efficacy and safety of rosuvastatin versus atorvastatin in high-risk Chinese patients with hypercholesterolemia: a randomized, double-blind, active-controlled study
    Shuiping Zhao, Daoquan Peng
    Current Medical Research and Opinion.2018; 34(2): 227.     CrossRef
  • Effect of physician characteristics and knowledge on the quality of dyslipidemia management and LDL–C target goal achievement in China: Subgroup analysis of the Dyslipidemia International Study
    Rongjing Ding, Ping Ye, Shuiping Zhao, Dong Zhao, Xiaowei Yan, Yugang Dong, Jihu Li, Yuqin Ran, Dayi Hu
    Journal of Global Health.2017;[Epub]     CrossRef
  • Trends in the management levels of metabolic risk factors in middle-aged and elderly patients with type 2 diabetes mellitus: The Korean National Health and Nutrition Examination Survey 1998–2014
    Sukyung Cho, Haeun Jang, Kyong Park, Stefan Kiechl
    PLOS ONE.2017; 12(12): e0189361.     CrossRef
  • Increased postprandial apolipoprotein B-48 level after a test meal in diabetic patients: A multicenter, cross-sectional study
    Cheol-Young Park, Joong-Yeol Park, Jongwon Choi, Dae Jung Kim, Kyong Soo Park, Kun-Ho Yoon, Moon-Kyu Lee, Sung-Woo Park
    Metabolism.2016; 65(6): 843.     CrossRef
  • Physicians’ behavior following changes in LDL cholesterol target goals
    Shlomo Vinker, Haim Bitterman, Doron Comaneshter, Arnon D Cohen
    Israel Journal of Health Policy Research.2015;[Epub]     CrossRef
  • Prevalence of dyslipidaemia in patients treated with lipid-lowering agents in China: Results of the DYSlipidemia International Study (DYSIS)
    Shuiping Zhao, Yongjun Wang, Yiming Mu, Bilian Yu, Ping Ye, Xiaowei Yan, Zhanquan Li, Yidong Wei, Baishaili M. Ambegaonakr, Dayi Hu
    Atherosclerosis.2014; 235(2): 463.     CrossRef
  • First-line treatment patterns and lipid target levels attainment in very high cardiovascular risk outpatients
    Ioanna Xanthopoulou, Periklis Davlouros, Simos Siahos, Angelos Perperis, Evangelia Zaharioglou, Dimitrios Alexopoulos
    Lipids in Health and Disease.2013;[Epub]     CrossRef
  • Statin Prescription Adhered to Guidelines for Patients Hospitalized due to Acute Ischemic Stroke or Transient Ischemic Attack
    Keun-Sik Hong, Mi Sun Oh, Hye-Yeon Choi, A-Hyun Cho, Hyung-Min Kwon, Kyung-Ho Yu, Hee-Joon Bae, Juneyoung Lee, Byung-Chul Lee
    Journal of Clinical Neurology.2013; 9(4): 214.     CrossRef
  • LDL-cholesterol target values and actual values in patients with type 2 diabetes (T2D) uncontrolled on oral antidiabetic monotherapy: The lipid results of the French ESCALADE survey
    Alfred Penfornis, Alain Baleydier, Thierry Clavel, Sylvie Picard
    Annales d'Endocrinologie.2012; 73(6): 503.     CrossRef
  • Clinical evaluation of the use of statins in diabetic dyslipidemia
    김나영, 류재곤, 정효근, 백소영, 남상민
    Journal of Korean Society of Health-System Pharmacists.2012; 29(3): 288.     CrossRef
A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients
Dong Kyun Kim, Sa Rah Lee, Min Sik Kim, Suk Hyang Bae, Jin Yeon Hwang, Jung-Min Kim, Sung Hwan Suh, Hye-Jeong Lee, Mi Kyoung Park, Duk Kyu Kim
Korean Diabetes J. 2010;34(6):359-367.   Published online December 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.6.359
  • 8,900 View
  • 38 Download
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

There have been few clinical studies on 10 mg atorvastatin as a starting dosage for treatment of hypercholesterolemia in type 2 diabetes mellitus (T2DM) patients. This retrospective study aims to evaluate the efficacy of 10 mg dosage of atorvastatin in clinical setting.

Methods

One hundred five enrolled patients with high levels of low density lipoprotein cholesterol (LDL-C, > 100 mg/dL) took 10 mg atorvastatin. After 6 months, they were divided into 'Responder group' (LDL-C < 100 mg/dL) and 'Non-responder group' (LDL-C ≥ 100 mg/dL), and the response rate was calculated. Thereafter, we subdivided the 'Responder group' into Maintenance (10 mg), Reduced dosage (5 mg), and Discontinuance group (0 mg). The 'Non-Responder group' was subdivided into Maintenance (10 mg) and Double dosage group (20 mg). After consecutive 6 months, the response rates of each 10 mg Maintenance groups were compared to those of the other groups, respectively.

Results

Following the first 6 months, the response rate of 10 mg fixed dosage was 74.3%. In the 'Responder group', response rates of 10 mg, 5 mg and Discontinuance groups following 6 months were 52.6%, 53.1%, and 12.5%, respectively. In the 'Non-responder group', response rates of 10 mg and 20 mg groups were 28.6% and 50.0%. Baseline LDL-C levels and body mass index (BMI) of 'Responder group' were significantly lower than those of 'Non-responder group' (P = 0.004, respectively).

Conclusion

Hypercholesterolemia treatment with 10 mg, fixed dosage of atorvastatin was effective in three quarters of the subjects during the first 6-month treatment; however, a significant number of patients with high LDL-C levels and/or BMI require higher starting and maintenance dosage.

Citations

Citations to this article as recorded by  
  • Preparation and Release Behavior of Atorvastatin Calcuim - Encapsulated Polyoxalate Microspheres
    Cheon Jung Lee, Su Young Kim, Hyun Gu Lee, Jaewon Yang, Jin Young Park, Se Rom Cha, Dong-Kwon Lim, Dongwon Lee, Gilson Khang
    Polymer Korea.2014; 38(5): 656.     CrossRef
  • A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients (Korean Diabetes J 2010;34:359-67)
    Eun-Jung Rhee
    Diabetes & Metabolism Journal.2011; 35(1): 86.     CrossRef
  • Response: A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients (Korean Diabetes J 2010;34:359-67)
    Dong Kyun Kim, Sa Rah Lee, Min Sik Kim, Suk Hyang Bae, Jin Yeon Hwang, Jung-Min Kim, Sung Hwan Suh, Hye-Jeong Lee, Mi Kyoung Park, Duk Kyu Kim
    Diabetes & Metabolism Journal.2011; 35(1): 88.     CrossRef
The Association of Plasma HDL-Cholesterol Level with Cardiovascular Disease Related Factors in Korean Type 2 Diabetic Patients.
Hye Sook Hong, Jong Suk Park, Han Kyoung Ryu, Wha Young Kim
Korean Diabetes J. 2008;32(3):215-223.   Published online June 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.3.215
  • 3,846 View
  • 42 Download
  • 4 Crossref
AbstractAbstract PDF
BACKGROUND
Cardiovascular disease (CVD) is the major cause of death in type 2 diabetic patients. The purpose of this study was to investigate the characteristics of Korean type 2 diabetes mellitus (DM) patients according to plasma high density lipoprotein (HDL) cholesterol level and to document the effect of diet on HDL-cholesterol. METHODS: The subjects were 252 (male: 134, female: 118) Korean type 2 DM patients recruited from a general hospital's DM clinic and divided into low HDL-cholesterol group (male < 40 mg/dL, female < 50 mg/dL) and control group (male > or = 40 mg/dL, female > or = 50 mg/dL). Anthropometric and hematological variables and dietary intake were assessed by the groups. RESULTS: The subject's mean age was 60.2 +/- 1.1 years and duration of diabetes was 9.5 +/- 1.0 years. Anthropometric measurements (body fat mass, % body fat, WHR, fat free mass, and muscle mass) and BMI were not significantly different between two groups. The male subjects with low HDL-cholesterolemia showed higher Atherogenic Index (AI, P < 0.001) and higher % carbohydrate from energy than control group (P < 0.01). The female subjects with low HDL-cholesterolemia showed higher AI (P < 0.001) and a tendency of higher triglyceride level and lower intake of energy, protein, lipid, vitamin B1 and vitamin E (P < 0.05) than control group. CONCLUSION: The subject with low HDL-cholesterolemia showed significantly higher AI. Male subject with low HDL-cholesterolemia consumed higher carbohydrate and female subject with low HDL-cholesterolemia showed lower intakes of many nutrients. This result suggests the importance of an adequate and balanced diet to manage type 2 DM patients to prevent CVD complications.

Citations

Citations to this article as recorded by  
  • Improvement of High-fat Diet-induced Obesity by Xanthigen in C57BL/6N Mice
    Kyeong-Mi Choi, Youn-Sun Lee, Wonkyun Kim, Yung-Hyun Choi, Youn-Gil Kwak, Jae-Chul Jung, Jeongrai Lee, Hwan-Soo Yoo
    Journal of Life Science.2012; 22(12): 1697.     CrossRef
  • The Prevalence, Awareness and Treatment of High Low Density Lipoprotein-Cholesterol in Korean Adults Without Coronary Heart Diseases - The Third Korea National Health and Nutrition Examination Survey, 2005 -
    Sun-Ja Choi, Sung-Hee Park, Kwang-Soo Lee, Hyun-Young Park
    Korean Circulation Journal.2012; 42(2): 86.     CrossRef
  • Administration of Triticum aestivum Sprout Water Extracts Reduce the Level of Blood Glucose and Cholesterol in Leptin Deficient ob/ob Mice
    Sun-Hee Lee, Sung-Won Lim, Nguyen Van Mihn, Jung-Mu Hur, Bong-Joon Song, Young-Mi Lee, Hoi-Seon Lee, Dae-Ki Kim
    Journal of the Korean Society of Food Science and Nutrition.2011; 40(3): 401.     CrossRef
  • Effects of Namhae Specialized Crops Water Extract on Lipid Metabolism in Rats Fed a Cholesterol Diet
    Jung-Hye Shin, Min-Jung Kang, Seung-Mi Yang, Soo-Jung Lee, Nak-Ju Sung
    Korean journal of food and cookery science.2011; 27(5): 599.     CrossRef
Changes in the Prevalence of Metabolic Syndrome in a Rural Area of Korea Defined by Two Criteria, Revised National Cholesterol Education Program and International Diabetes Federation.
Jong Chul Won, Joong Yeol Park, Kee Ho Song, Woo Je Lee, Eun Hee Koh, Il Sung Nam-Goong, Sung Min Han, Moo Song Lee, Min Seon Kim, Ki Up Lee
Korean Diabetes J. 2007;31(3):284-292.   Published online May 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.3.284
  • 3,399 View
  • 18 Download
  • 3 Crossref
AbstractAbstract PDF
BACKGROUND
The prevalence of obesity is increasing in Korea, including rural areas. We examined the changes in the prevalence of metabolic syndrome (MetS), defined by revised National Cholesterol Education Program (NCEP) or International Diabetes Federation (IDF) criteria, in a rural area of Korea during the past 6 years. METHODS: A total of 1,119 subjects (424 men and 695 women) aged > or = 30 years were initially recruited in 1997. Baseline clinical data and various laboratory values were obtained. Six years later, we performed a follow-up study in 814 subjects (316 men and 498 women) of which 558 were original participants and 256 subjects were new. The prevalence of MetS was assessed by the criteria of NCEP or IDF. RESULTS: The prevalence of central obesity and impaired fasting glucose increased in both sexes during the period between 1997 and 2003. The prevalence of MetS according to the IDF criteria also increased. In men, the age-adjusted prevalence of MetS was 10.9% in 1997 and 23.3% in 2003. In women, it was 42.2% in 1997 and 43.4% in 2003. However, the prevalence of MetS according to the NCEP criteria increased only in men. CONCLUSION: There have been increases in the prevalence of central obesity and MetS according to the IDF criteria during the recent 6 years in a rural area of Korea.

Citations

Citations to this article as recorded by  
  • The Association between Midnight Salivary Cortisol and Metabolic Syndrome in Korean Adults
    Yun-Mi Jang, Eun Jung Lee, Dong Lim Kim, Suk Kyeong Kim, Kee-Ho Song
    Diabetes & Metabolism Journal.2012; 36(3): 245.     CrossRef
  • The Diagnostic Criteria of Metabolic Syndrome and the Risk of Coronary Heart Disease according to Definitions in Men
    Hyouk-Soo Seo, Sung-Hi Kim, Soon-Woo Park, Jong-Yeon Kim, Geon-Ho Lee, Hye-Mi Lee
    Korean Journal of Family Medicine.2010; 31(3): 198.     CrossRef
  • Metabolic syndrome is associated with erosive esophagitis
    Jung Ho Park, Dong IL Park, Hong Joo Kim, Yong Kyun Cho, Chong IL Sohn, Woo Kyu Jeon, Byung Ik Kim
    World Journal of Gastroenterology.2008; 14(35): 5442.     CrossRef
Efficacy Evaluation of Atorvastatin in Korean Hyperlipidemic Patients with Type 2 Diabetes Mellitus.
Dong Seop Choi, Duk Kyu Kim, Doo Man Kim, Seong Yeon Kim, Moon Suk Nam, Yong Soo Park, Ho Sang Shon, Chul Woo Ahn, Kwan Woo Lee, Ki Up Lee, Moon Kyu Lee, Choon Hee Chung, Bong Yeon Cha
Korean Diabetes J. 2006;30(4):292-302.   Published online July 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.4.292
  • 3,639 View
  • 27 Download
  • 4 Crossref
AbstractAbstract PDF
BACKGROUND
NCEP ATP III Guideline recommends aggressive treatments of diabetic dyslipidemia, recognizing diabetes mellitus as CHD risk equivalents. This study was conducted to evaluate the effectiveness and safety of atorvastatin in hyperlipidemic patients with Type 2 diabetes mellitus through post-marketing drug use investigation of atorvastatin. METHODS: An open, multi-center, non-comparison, titrated dosage study was conducted in hyperlipidemic patients, who were treated with atorvastatin at first visiting hospitals from Mar. 2004 to Sep. 2004. 96 endocrinologists participated from 66 centers in this study. Total 2,182 hyperlipidemic patients were enrolled and 1,514 patients among them were accompanied by diabetes mellitus. Efficacy was evaluated at later than 4-week treatment by % change of total cholesterol, triglycerides, HDL-cholesterol and LDL-cholesterol from baseline. Percent of patients reaching LDL-cholesterol level less than 100 mg/dL was also analyzed. The adverse events incidence and abnormalities of clinical laboratory values were evaluated for safety monitoring. RESULTS: Total cholesterol, triglycerides, and LDL-cholesterol level were reduced by 26.6%, 12.0%, and 34.8%, respectively, in diabetic hyperlipidemic patients after atorvastatin treatment. The patients with LDL-cholesterol level of less than 100 mg/dL were increased from 2.8% to 52.6%. Atorvastatin was considered to be safe because adverse drug reactions were reported in 32 patients (1.5%) of total 2,182 patients. CONCLUSION: Atorvastatin was effective and safe in hyperlipidemic patients with type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Modified Saengmaeksan (Shengmai-san) for arterial stiffness in middle-aged women: A feasibility study
    Nahyun Cho, Jungah Uhm, Changsop Yang, Hiroshi Miyashita, Hobin Moon, Jungtae Leem
    European Journal of Integrative Medicine.2026; 81: 102581.     CrossRef
  • Response: A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients (Korean Diabetes J 2010;34:359-67)
    Dong Kyun Kim, Sa Rah Lee, Min Sik Kim, Suk Hyang Bae, Jin Yeon Hwang, Jung-Min Kim, Sung Hwan Suh, Hye-Jeong Lee, Mi Kyoung Park, Duk Kyu Kim
    Diabetes & Metabolism Journal.2011; 35(1): 88.     CrossRef
  • A Retrospective Study on the Efficacy of a Ten-Milligram Dosage of Atorvastatin for Treatment of Hypercholesterolemia in Type 2 Diabetes Mellitus Patients
    Dong Kyun Kim, Sa Rah Lee, Min Sik Kim, Suk Hyang Bae, Jin Yeon Hwang, Jung-Min Kim, Sung Hwan Suh, Hye-Jeong Lee, Mi Kyoung Park, Duk Kyu Kim
    Korean Diabetes Journal.2010; 34(6): 359.     CrossRef
  • The Association of Plasma HDL-Cholesterol Level with Cardiovascular Disease Related Factors in Korean Type 2 Diabetic Patients
    Hye Sook Hong, Jong Suk Park, Han Kyoung Ryu, Wha Young Kim
    Korean Diabetes Journal.2008; 32(3): 215.     CrossRef
The Clinical Characteristics of Anemia in Type 2 Diabetic Patients Without Overt Nephropathy.
Eun Young Ko, Se In Kim, Yong Bum Jang, Kyoung Hun Min, Sung Hun Kim, Kyu Sun Lee, So Ri Kim, Eun Kyoung Choi, Ji Hyun Park, Tae Sun Park, Hong Sun Paek
Korean Diabetes J. 2004;28(5):425-431.   Published online October 1, 2004
  • 1,840 View
  • 24 Download
AbstractAbstract PDF
BACKGROUND
It is well known that anemia occurs early in diabetic patients before they reach to end stage renal failure. This anemia is considered to be due to the reduced endogenous erythropoietin synthesis, tubulointerstitial damage, autonomic dysfunction, and to the use of angiotensin-converting- enzyme inhibitors. Because anemia has a significant impact on the quality of life for diabetic patients, we examined the clinical characteristics of anemia in those diabetic patients who did not have overt nephropathy. METHODS: We retrospectively reviewed the medical records of 200 type 2 diabetic patients with anemia who had been followed up from 1998 to 2002 by Chonbuk University Medical School Hospital. We measured the total cholesterol, triglycerides, high density lipoprotein, low density lipoprotein, and the presence of complications (retinopathy or neuropathy) for about 90 diabetic patients who were under the age of 65, they were without other underlying disease and they had a hemoglobin concentration 110g/L, GFR 1.0 mL/s. We excluded the causes of anemia as being from malignancy, liver disease, coexisting iron deficiency, chronic inflammatory disease and chronic infection. RESULTS: The clinical characteristics of the patients are as follows; the mean age was 59.6 +/- 8.4 years, the mean HbA1C was 9.4 +/- 2.3%, and the mean Hb concentration was 96 +/- 12 g/L. Our results showed that an inverse relation existeds between Hb concentration and total cholesterol (p<0.04), LDL cholesterol (p<0.05), age (p<0.02), and the duration of diabetes (p<0.01).Our results also showed that a linear relation existed between the Hb concentration, HDL cholesterol (p<0.02), and the GFR (p<0.01). CONCLUSION: Diabrtic patients with anemia are in need of intensive management for the lipid and GFR that causes thair anemia.
Effects of Cilostazol on Insulin Resistance in OLETF Rats.
Sung Rae Kim, Ki Hyun Baek, Seung Hyun Ko, Jung Min Lee, Sang Ah Chang, Yoo Bae Ahn, Soon Jib Yoo, Jong Min Lee, Hyun Shik Son, Kun Ho Yoon, Moo Il Kang, Bong Yun Cha, Kwang Woo Lee, Ho Young Son, Sung Koo Kang
Korean Diabetes J. 2001;25(1):63-70.   Published online February 1, 2001
  • 1,850 View
  • 21 Download
AbstractAbstract PDF
BACKGROUND
Insulin resistance is one of the major pathophysiology of type 2 diabetes mellitus. It is reported that cilostazol and cyclic AMP phosphodiesterase inhibitor has the anti-platelet effect as well as an improvement of hypertriglyceridemia in addition to vasodilatation. Furthermore, the previous reports indicated that there is a positive relationship between insulin resistance and dyslipidemia. Thus, we investigated the effects of cilostazol on insulin resistance in OLETF rats using the euglycemic hyperinsulinemic glucose clamp technique, and lipid levels. METHODS: Fifteen five months old OLETF rats were fed for 4 weeks(8 treated with cilostazol and 7 were control), and compare to 20 same aged LETO rats (8 treated with cilostazol and 12 were control) through the glucose infusion rate on euglycemic hyperinsulinemic glucose clamp and lipid profiles. RESULTS: The glucose infusion rate was higher in the cilostazol treated OLETF rats than in the non-cilostazol treated OLETF rats (0.021+/-0.0031 vs 0.027+/-0.0036 mL/min). The levels of free fatty acids (2424.8+/-652.7 vs 1061.8+/-223.2 Eq/L), total cholesterol (145.7+/-17.9 vs 115.4+/-7.6 mg/dL) and triglyceride (146.5+/-46.6 vs 76.1+/-12.5 mg/dL) of cilostazol treated OLETF rats were significantly lower than those of non-cilostazol treated OLETF rats. CONCLUSION: This study result suggest that cilostazol may improve the insulin resistance through the improvement of dyslipidemia in OLETF rats.
Insulin Resistance and Related Factors in the Healthy Young Men.
Seok Won Park, Yoon Sok Chung, Yong Seok Yun, Bong Soo Cha, Young Duk Song, Hyun Chul Lee, Kap Bum Huh
Korean Diabetes J. 1998;22(4):504-512.   Published online January 1, 2001
  • 1,582 View
  • 17 Download
AbstractAbstract PDF
BACKGROUND
Resistance to insulin-stimulated glucose uptake is present in the majority of patients with obesity, glucose intolerance, hypertension, dyslipidemia, and coronary artery disease. It is known that values for insulin-stimulated glucose uptake(insulin sensitivity) vary widely within individuals with normal glucose tolerance. We investigated the variations in insulin sensitivity and related factors in the nonobese healthy young men. METHODS: Insulin sensitivity was considered as whole body insulin-stimulated glucose uptake rate(M), determined by euglycemic hyperinsulinemic clamp technique in 44 non-obese healthy young men with normal glucose tolerance. Plasma glucose, insulin, and C-peptide concentrations after a standard oral glucose tolerance test and total cholesterol, triglyceride, and HDL-cholesterol levels were measured after 12-hours fasting. The subjects were divided into four quartiles based on the insulin sensitivity (M) and their clinical and biochemical characteristics were compared. RESULTS: Glucose disposal rates (M-values) were ranged from 4.14 to 11.06 mg/kg/min and distributed normally. The plasma glucose levels were not different between quartiles but plasma insulin levels of quartile 1 were significantly higher than the other three quartiles during oral glucose tolerance test. There was a curvilinear relationship between insulin sensitivity and acute insulin response (Ins[o-30]) to oral glucose challenge. There were negative cnrrelations between insulin sensitivity and BMI, percent ideal body weight, WHR, body fat content, fasting insulin level, insulin response area during OGTT, and fasting serum triglyceride level. HDL-cholesterol concentration was positively correlated with insulin sensitivity. In multiple linear regression analysis, body fat content, fasting insulin, and HDL-cholesterol were independent variables, which were related to the insulin sensitivity. CONCLUSION: There were considerable variations in insulin sensitivity in the nonobese healthy young men with normal glucose tolerance and the related independent factors were body fat content, fasting insulin, and HDL-cholesterol cancentrations.

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP