Diabetes & Metabolism Journal

Original Articles

Cardiovascular Risk/Epidemiology
Psychotic Disorders and the Risk of Type 2 Diabetes Mellitus, Atherosclerotic Cardiovascular Diseases, and All-Cause Mortality: A Population-Based Matched Cohort Study: You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur; Diabetes Metab J. 2024;48(1):122-133. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2022.0431

1,089 View
144 Download

Abstract PDF Supplementary Material PubReader ePub: Background
The effects of psychotic disorders on cardiometabolic diseases and premature death need to be determined in Asian populations.
Methods
In this population-based matched cohort study, the Korean National Health Insurance Service database (2002 to 2018) was used. The risk of type 2 diabetes mellitus (T2DM), acute myocardial infarction (AMI), ischemic stroke, composite of all cardiometabolic diseases, and all-cause death during follow-up was compared between individuals with psychotic disorders treated with antipsychotics (n=48,162) and 1:1 matched controls without psychiatric disorders among adults without cardiometabolic diseases before or within 3 months after baseline.
Results
In this cohort, 53,683 composite cases of all cardiometabolic diseases (during median 7.38 years), 899 AMI, and 1,216 ischemic stroke cases (during median 14.14 years), 7,686 T2DM cases (during median 13.26 years), and 7,092 deaths (during median 14.23 years) occurred. The risk of all outcomes was higher in subjects with psychotic disorders than matched controls (adjusted hazard ratios [95% confidence intervals]: 1.522 [1.446 to 1.602] for T2DM; 1.455 [1.251 to 1.693] for AMI; 1.568 [1.373 to 1.790] for ischemic stroke; 1.595 [1.565 to 1.626] for composite of all cardiometabolic diseases; and 2.747 [2.599 to 2.904] for all-cause mortality) during follow-up. Similar patterns of associations were maintained in subgroup analyses but more prominent in younger individuals (P for interaction <0.0001) when categorized as those aged 18–39, 40–64, or ≥65 years.
Conclusion
Patients with psychotic disorders treated with antipsychotics were associated with increased risk of premature allcause mortality and cardiometabolic outcomes in an Asian population. This relationship was more pronounced in younger individuals, especially aged 18 to 39 years.

Complications
Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study: So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim; Diabetes Metab J. 2024;48(2):290-301. Published online January 3, 2024; DOI: https://doi.org/10.4093/dmj.2022.0299

882 View
129 Download

Abstract PDF Supplementary Material PubReader ePub: Background
We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM).
Methods
For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317).
Results
During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status.
Conclusion
Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.

Review

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

5,016 View
628 Download
7 Web of Science
14 Crossref

Abstract PDF PubReader ePub

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

Citations

Citations to this article as recorded by

Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
Metabolism.2024; 152: 155789. CrossRef
Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
In-Kyung Jeong
Journal of Lipid and Atherosclerosis.2024; 13(1): 80. CrossRef
Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
Diabetes Research and Clinical Practice.2024; 208: 111125. CrossRef
Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim, Song Vogue Ahn, Sun Ha Jee, Sungha Park, Hae-Young Lee, Min Ho Shin, Sang-Hyun Ihm, Seung Won Lee, Jong Ku Park, Il Suh, Tae-Yong Lee
Clinical Hypertension.2024;[Epub] CrossRef
Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
The Journal of Clinical Endocrinology & Metabolism.2024;[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
A self-powered and supercapacitive microneedle continuous glucose monitoring system with a wide range of glucose detection capabilities
Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
Biosensors and Bioelectronics.2024; 257: 116297. CrossRef
Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024;[Epub] CrossRef
Management of Dyslipidemia in Patients with Diabetes Mellitus
Kyung Ae Lee
The Journal of Korean Diabetes.2023; 24(3): 111. CrossRef
2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
Junghyun Noh
The Journal of Korean Diabetes.2023; 24(3): 127. CrossRef
2023 Clinical Practice Guidelines for Diabetes
Min Kyong Moon
The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef
2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
Ye Seul Yang
The Journal of Korean Diabetes.2023; 24(3): 135. CrossRef
A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
Jong Han Choi
The Korean Journal of Medicine.2023; 98(6): 289. CrossRef
Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
Sung-Soo Kim, Hun-Sung Kim
Journal of Personalized Medicine.2023; 14(1): 42. CrossRef

Original Articles

Metabolic Risk/Epidemiology
Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study: You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim; Diabetes Metab J. 2023;47(5):682-692. Published online June 22, 2023; DOI: https://doi.org/10.4093/dmj.2022.0184

1,584 View
121 Download

Abstract PDF Supplementary Material PubReader ePub: Background
We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).
Methods
Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1–4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.
Results
During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1–4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.
Conclusion
Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Technology/Device
Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study: You-Bin Lee, Minjee Kim, Jae Hyeon Kim; Diabetes Metab J. 2023;47(3):405-414. Published online March 6, 2023; DOI: https://doi.org/10.4093/dmj.2022.0032

3,254 View
122 Download
2 Web of Science
4 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
We explored the association between continuous glucose monitoring (CGM) use and glycemia among adults with type 1 diabetes mellitus (T1DM) and determined the status of CGM metrics among adults with T1DM using CGM in the real-world.
Methods
For this propensity-matched cross-sectional study, individuals with T1DM who visited the outpatient clinic of the Endocrinology Department of Samsung Medical Center between March 2018 and February 2020 were screened. Among them, 111 CGM users (for ≥9 months) were matched based on propensity score considering age, sex, and diabetes duration in a 1:2 ratio with 203 CGM never-users. The association between CGM use and glycemic measures was explored. In a subpopulation of CGM users who had been using official applications (not “do-it-yourself” software) such that Ambulatory Glucose Profile data for ≥1 month were available (n=87), standardized CGM metrics were summarized.
Results
Linear regression analyses identified CGM use as a determining factor for log-transformed glycosylated hemoglobin. The fully-adjusted odds ratio (OR) and 95% confidence interval (CI) for uncontrolled glycosylated hemoglobin (>8%) were 0.365 (95% CI, 0.190 to 0.703) in CGM users compared to never-users. The fully-adjusted OR for controlled glycosylated hemoglobin (<7%) was 1.861 (95% CI, 1.119 to 3.096) in CGM users compared to never-users. Among individuals who had been using official applications for CGM, time in range (TIR) values within recent 30- and 90-day periods were 62.45%±16.63% and 63.08%±15.32%, respectively.
Conclusion
CGM use was associated with glycemic control status among Korean adults with T1DM in the real-world, although CGM metrics including TIR might require further improvement among CGM users.

Citations

Citations to this article as recorded by

Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
Ji Yoon Kim, Sang-Man Jin, Sarah Andrade, Boyang Chen, Jae Hyeon Kim
Diabetes Technology & Therapeutics.2024;[Epub] CrossRef
Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
Diabetes Technology & Therapeutics.2024; 26(4): 222. CrossRef
Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
Jun Sung Moon
Diabetes & Metabolism Journal.2023; 47(3): 345. CrossRef
Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
Jee Hee Yoo, Jae Hyeon Kim
The Journal of Korean Diabetes.2023; 24(4): 190. CrossRef

Guideline/Fact Sheet
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019: Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim; Diabetes Metab J. 2023;47(2):211-219. Published online February 7, 2023; DOI: https://doi.org/10.4093/dmj.2022.0346

3,535 View
258 Download
1 Web of Science
3 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study investigated the trends of insulin use among Korean patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Changes in prescription of antidiabetic medications in T2DM patients taking insulin therapy were evaluated.
Methods
We analyzed data from the National Health Insurance Service database in Korea to evaluate the prevalence of insulin users and trends of insulin use in T1DM and T2DM patients from January 2002 to December 2019. We also investigated numbers and types of antidiabetic medications in insulin users with T2DM.
Results
The overall total number of insulin users increased from 2002 to 2019, reaching 348,254 for T2DM and 20,287 for T1DM in 2019 compared with 109,974 for T2DM and 34,972 for T1DM in 2002. The proportion of patients using basal analogs and short acting analogs have increased and those using human insulin, premixed insulin, or biphasic human insulin have decreased (rapid acting analogs: 71.85% and 24.12% in T1DM and T2DM, respectively, in 2019; basal analogs: 76.75% and 75.09% in T1DM and T2DM, respectively, in 2019). The use of other antidiabetic medication in addition to insulin increased for T2DM, especially in dual therapy, reaching up to 52.35% in 2019 compared with 16.72% in 2002.
Conclusion
The proportion of the patients using basal or rapid acting analogs increased among all insulin users in both T1DM and T2DM patients. Among patients with T2DM, the proportion of patients using antidiabetic medications in addition to insulin was significantly increased compared to those who used insulin alone.

Citations

Citations to this article as recorded by

Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
Diabetes Technology & Therapeutics.2024;[Epub] CrossRef
Evaluation of pharmacokinetic interactions between lobeglitazone, empagliflozin, and metformin in healthy subjects
Heeyoung Kim, Choon Ok Kim, Hyeonsoo Park, Min Soo Park, Dasohm Kim, Taegon Hong, Yesong Shin, Byung Hak Jin
Translational and Clinical Pharmacology.2023; 31(1): 59. CrossRef
Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
Jee Hee Yoo, Jae Hyeon Kim
The Journal of Korean Diabetes.2023; 24(4): 190. CrossRef

Short Communication

Technology/Device
A 4-Week, Two-Center, Open-Label, Single-Arm Study to Evaluate the Safety and Efficacy of EOPatch in Well-Controlled Type 1 Diabetes Mellitus: Jiyun Park, Nammi Park, Sangjin Han, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Woo Je Lee, Jae Hyeon Kim; Diabetes Metab J. 2022;46(6):941-947. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0299

5,168 View
269 Download
2 Web of Science
3 Crossref

Abstract PDF Supplementary Material PubReader ePub

This study evaluated the safety and efficacy of tubeless patch pump called EOPatch in patients with well-controlled type 1 diabetes mellitus (T1DM). This 4-week, two-center, open-label, single-arm study enrolled 10 adult patients diagnosed with T1DM with glycosylated hemoglobin less than 7.5%. The co-primary end points were patch pump usage time for one attachment and number of serious adverse events related to the patch pump. The secondary end points were total amount of insulin injected per patch and changes in glycemic parameters including continuous glucose monitoring data compared to those at study entry. The median usage time per patch was 84.00 hours (interquartile range, 64.50 to 92.50). Serious adverse events did not occur during the trial. Four weeks later, time in range 70 to 180 mg/dL was significantly improved (70.71%±17.14 % vs. 82.96%±9.14%, P=0.01). The times spent below range (<54 mg/dL) and above range (>180 mg/dL) also improved (All P<0.05). Four-week treatment with a tubeless patch pump was safe and led to clinical improvement in glycemic control.

Citations

Citations to this article as recorded by

Multilayer track‐etched membrane‐based electroosmotic pump for drug delivery
Qian Yang, Zebo Zhang, Junshu Lin, Boyu Zhu, Rongying Yu, Xinru Li, Bin Su, Bo Zhao
ELECTROPHORESIS.2024; 45(5-6): 433. CrossRef
Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
Diabetologia.2024;[Epub] CrossRef
A true continuous healthcare system for type 1 diabetes
Jiyong Kim, Salman Khan, Eun Kyu Kim, Hye-Jun Kil, Bo Min Kang, Hyo Geon Lee, Jin-Woo Park, Jun Young Yoon, Woochul Kim
Nano Energy.2023; 113: 108553. CrossRef

Original Articles

Cardiovascular Risk/Epidemiology
Myocardial Infarction, Stroke, and All-Cause Mortality according to Low-Density Lipoprotein Cholesterol Level in the Elderly, a Nationwide Study: You-Bin Lee, Minji Koo, Eunjin Noh, Soon Young Hwang, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Geum Joon Cho, Hye Jin Yoo; Diabetes Metab J. 2022;46(5):722-732. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0225

6,974 View
331 Download
6 Web of Science
6 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.
Methods
The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).
Results
During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.
Conclusion
Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.

Citations

Citations to this article as recorded by

Combination of low- or moderate-intensity statin and ezetimibe vs. high-intensity statin monotherapy on primary prevention of cardiovascular disease and all-cause death: a propensity-matched nationwide cohort study
Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang
European Journal of Preventive Cardiology.2024;[Epub] CrossRef
Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China
Wenqing Ni, Yuebin Lv, Xueli Yuan, Yan Zhang, Hongmin Zhang, Yijing Zheng, Xiaoming Shi, Jian Xu
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study
Chin-Huan Chang, Shu-Tin Yeh, Seng-Wei Ooi, Chung-Yi Li, Hua-Fen Chen
PeerJ.2023; 11: e14609. CrossRef
ERCC1 polymorphism and its expression associated with ischemic stroke in Chinese population
Xiao-Dong Deng, Jian-Lin Ke, Tai-Yu Chen, Qin Gao, Zhuo-Lin Zhao, Wei Zhang, Huan Liu, Ming-Liang Xiang, Li-Zhen Wang, Ying Ma, Yun Liu
Frontiers in Neurology.2023;[Epub] CrossRef
New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
Diabetes & Metabolism Journal.2022; 46(4): 517. CrossRef
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
Endocrinology and Metabolism.2022; 37(5): 759. CrossRef

Cardiovascular Risk/Epidemiology
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

5,661 View
196 Download
1 Web of Science
2 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader 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

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

Review

Guideline/Fact Sheet
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea: 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, Sang Youl Rhee, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim, Chong Hwa Kim, Dae Jung Kim, SungWan Chun, Eun-Jung Rhee, Hyun Min Kim, Hyun Jung Kim, Donghyun Jee, Jae Hyun Kim, Won Seok Choi, Eun-Young Lee, Kun-Ho Yoon, Seung-Hyun Ko, Committee of Clinical Practice Guidelines, Korean Diabetes Association; Diabetes Metab J. 2021;45(4):461-481. Published online July 30, 2021; DOI: https://doi.org/10.4093/dmj.2021.0156

23,950 View
1,626 Download
121 Web of Science
140 Crossref

Graphical Abstract Abstract PDF PubReader ePub

The Committee of Clinical Practice Guidelines of the Korean Diabetes Association (KDA) updated the previous clinical practice guidelines for Korean adults with diabetes and prediabetes and published the seventh edition in May 2021. We performed a comprehensive systematic review of recent clinical trials and evidence that could be applicable in real-world practice and suitable for the Korean population. The guideline is provided for all healthcare providers including physicians, diabetes experts, and certified diabetes educators across the country who manage patients with diabetes or the individuals at the risk of developing diabetes mellitus. The recommendations for screening diabetes and glucose-lowering agents have been revised and updated. New sections for continuous glucose monitoring, insulin pump use, and non-alcoholic fatty liver disease in patients with diabetes mellitus have been added. The KDA recommends active vaccination for coronavirus disease 2019 in patients with diabetes during the pandemic. An abridgement that contains practical information for patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by

Impact of Subclinical Atrial Function on the Prognosis of Patients With Atrial Fibrillation and Metabolic Syndrome
Hyun-Jin Kim
CardioMetabolic Syndrome Journal.2024; 4(1): 36. 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
A Multicenter, Randomized, Open-Label Study to Compare the Effects of Gemigliptin Add-on or Escalation of Metformin Dose on Glycemic Control and Safety in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Treated with Metformin and SGLT-2 Inh
Hae Jin Kim, Jung Hyun Noh, Min Kyong Moon, Sung Hee Choi, Seung-Hyun Ko, Eun-Jung Rhee, Kyu Yeon Hur, In-Kyung Jeong, Mark Yorek
Journal of Diabetes Research.2024; 2024: 1. CrossRef
Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
Diabetes Therapy.2024; 15(2): 547. CrossRef
Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
Ji Yoon Kim, Sang-Man Jin, Sarah Andrade, Boyang Chen, Jae Hyeon Kim
Diabetes Technology & Therapeutics.2024;[Epub] CrossRef
Association between Dyslipidemia and Glycated Hemoglobin in a Population-Based Study
Purum Kang, Ka Young Kim, Hye Young Shin
Metabolites.2024; 14(2): 92. CrossRef
Outcomes of Various Classes of Oral Antidiabetic Drugs on Nonalcoholic Fatty Liver Disease
Heejoon Jang, Yeonjin Kim, Dong Hyeon Lee, Sae Kyung Joo, Bo Kyung Koo, Soo Lim, Woojoo Lee, Won Kim
JAMA Internal Medicine.2024; 184(4): 375. CrossRef
View on Metformin: Antidiabetic and Pleiotropic Effects, Pharmacokinetics, Side Effects, and Sex-Related Differences
Guglielmina Froldi
Pharmaceuticals.2024; 17(4): 478. CrossRef
Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
Diabetologia.2024;[Epub] 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
Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
Sang-Yong Kim, Sungrae Kim
Diabetes Therapy.2023; 14(1): 109. 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
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
Justicia carnea extracts ameliorated hepatocellular damage in streptozotocin-induced type 1 diabetic male rats via decrease in oxidative stress, inflammation and increasing other risk markers
John Adeolu Falode, Oluwaseun Igbekele Ajayi, Tolulope Victoria Isinkaye, Akinwunmi Oluwaseun Adeoye, Basiru Olaitan Ajiboye, Bartholomew I. C. Brai
Biomarkers.2023; 28(2): 177. CrossRef
Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
International Journal of Infectious Diseases.2023; 127: 1. CrossRef
The Predictive Ability of C-Peptide in Distinguishing Type 1 Diabetes From Type 2 Diabetes: A Systematic Review and Meta-Analysis
Sajid Iqbal, Abdulrahim Abu Jayyab, Ayah Mohammad Alrashdi, Silvia Reverté-Villarroya
Endocrine Practice.2023; 29(5): 379. CrossRef
Anagliptin twice‐daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double‐blind, randomized controlled trial
Yong‐ho Lee, Doo‐Man Kim, Jae Myung Yu, Kyung Mook Choi, Sin Gon Kim, Kang Seo Park, Hyun‐Shik Son, Choon Hee Chung, Kyu Jeung Ahn, Soon Hee Lee, Ki‐Ho Song, Su Kyoung Kwon, Hyeong Kyu Park, Kyu Chang Won, Hak Chul Jang
Diabetes, Obesity and Metabolism.2023; 25(5): 1174. CrossRef
Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes
Xiaomin Fu, Yuhan Wang, Ryan S. Cates, Nan Li, Jing Liu, Dianshan Ke, Jinghua Liu, Hongzhou Liu, Shuangtong Yan
Frontiers in Endocrinology.2023;[Epub] 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
The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-world Data Study
Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek
Diabetes & Metabolism Journal.2023; 47(1): 135. 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
Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
International Journal of Heart Failure.2023; 5(1): 1. CrossRef
Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database
Dong-Hwa Lee, Bumhee Yang, Seonhye Gu, Eung-Gook Kim, Youlim Kim, Hyung Koo Kang, Yeong Hun Choe, Hyun Jeong Jeon, Seungyong Park, Hyun Lee
Frontiers in Endocrinology.2023;[Epub] 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
Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
Diabetes & Metabolism Journal.2023; 47(1): 10. 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
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
Diabetes & Metabolism Journal.2023; 47(1): 59. CrossRef
Analysis of the Incidence of Type 2 Diabetes, Requirement of Insulin Treatment, and Diabetes-Related Complications among Patients with Cancer
Su Jung Lee, Chulho Kim, Hyunjae Yu, Dong-Kyu Kim
Cancers.2023; 15(4): 1094. CrossRef
The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension
Hack-Lyoung Kim, Eun Mi Lee, Shin Young Ahn, Kwang-il Kim, Hyeon Chang Kim, Ju Han Kim, Hae-Young Lee, Jang Hoon Lee, Jong-Moo Park, Eun Joo Cho, Sungha Park, Jinho Shin, Young-Kwon Kim
Clinical Hypertension.2023;[Epub] 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
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
Effect of olmesartan and amlodipine on serum angiotensin-(1–7) levels and kidney and vascular function in patients with type 2 diabetes and hypertension
Kyuho Kim, Ji Hye Moon, Chang Ho Ahn, Soo Lim
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
Menopausal hormone therapy and the risk of type 2 diabetes mellitus: Health Insurance Database in South Korea–based retrospective cohort study
Jin-Sung Yuk, Jung Min Kim
Menopause.2023; 30(5): 497. CrossRef
Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus
Takayoshi Sasako, Toshimasa Yamauchi, Kohjiro Ueki
Diabetes & Metabolism Journal.2023; 47(2): 185. CrossRef
Association between antidiabetic drugs and the incidence of atrial fibrillation in patients with type 2 diabetes: A nationwide cohort study in South Korea
Sunyoung Kim, So Young Park, Bongseong Kim, Chanyang Min, Wonyoung Cho, Dong Keon Yon, Joo Young Kim, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee, Sang Youl Rhee
Diabetes Research and Clinical Practice.2023; 198: 110626. CrossRef
Totally robotic Roux-en-Y gastric bypass in a morbidly obese patient in Korea: a case report
Ji Won Seo, Kyong-Hwa Jun
Journal of Minimally Invasive Surgery.2023; 26(1): 40. 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
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
Efficacy and safety of enavogliflozin, a novel SGLT2 inhibitor, in Korean people with type 2 diabetes: A 24‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase III trial
Soo Heon Kwak, Kyung Ah Han, Kyung‐Soo Kim, Jae Myung Yu, EunSook Kim, Jong Chul Won, Jun Goo Kang, Choon Hee Chung, Seungjoon Oh, Sung Hee Choi, Kyu Chang Won, Sin Gon Kim, Seung Ah Cho, Bo Young Cho, Kyong Soo Park
Diabetes, Obesity and Metabolism.2023; 25(7): 1865. CrossRef
Adjusting the Use of Glucose-Lowering Agents in the Real-World Clinical Management of People with Type 2 Diabetes: A Narrative Review
Siew Pheng Chan, Lee-Ling Lim, Juliana C. N. Chan, David R. Matthews
Diabetes Therapy.2023; 14(5): 823. CrossRef
The association of perfluoroalkyl substances (PFAS) exposure and kidney function in Korean adolescents using data from Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018–2020): a cross-sectional study
Jisuk Yun, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Yong-Jin Lee
Annals of Occupational and Environmental Medicine.2023;[Epub] CrossRef
A Comparison of the Pharmacokinetics and Safety of Dapagliflozin Formate, an Ester Prodrug of Dapagliflozin, to Dapagliflozin Propanediol Monohydrate in Healthy Subjects
Hyun Chul Kim, Sangmi Lee, Siyoung Sung, Eunjin Kim, In-Jin Jang, Jae-Yong Chung
Drug Design, Development and Therapy.2023; Volume 17: 1203. CrossRef
Efficacy and safety of monotherapy with enavogliflozin in Korean patients with type 2 diabetes mellitus: Results of a 12‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase 2 trial
Ye Seul Yang, Kyung Wan Min, Seok‐O Park, Kyung‐Soo Kim, Jae Myung Yu, Eun‐Gyoung Hong, Sung Rae Cho, Kyu Chang Won, Yong Hyun Kim, Seungjoon Oh, Sung Hee Choi, Gwanpyo Koh, Wan Huh, Su Young Kim, Kyong Soo Park
Diabetes, Obesity and Metabolism.2023; 25(8): 2096. CrossRef
An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial
You-Bin Lee, Gyuri Kim, Ji Eun Jun, Hyunjin Park, Woo Je Lee, You-Cheol Hwang, Jae Hyeon Kim
Diabetes Care.2023; 46(5): 959. CrossRef
Performance of Simple Fibrosis Score in Non-Alcoholic Fatty Liver Disease with and without Type 2 Diabetes
Seung Min Chung, Min Kyu Kang, Jun Sung Moon, Jung Gil Park
Endocrinology and Metabolism.2023; 38(2): 277. CrossRef
Correlation analysis of cancer incidence after pravastatin treatment
Jin Yu, Raeun Kim, Jiwon Shinn, Man Young Park, Hun-Sung Kim
Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 61. CrossRef
Comparison of the effects of gemigliptin versus glimepiride on cardiac function in patients with type 2 diabetes uncontrolled with metformin: The gemi‐heart study
Seung Min Chung, Jun Sung Moon, Jun Hwa Hong, In‐Chang Hwang, Soo Lim
Diabetes, Obesity and Metabolism.2023; 25(8): 2181. CrossRef
The era of continuous glucose monitoring and its expanded role in type 2 diabetes
Jin Yu, Jae‐Hyoung Cho, Seung‐Hwan Lee
Journal of Diabetes Investigation.2023; 14(7): 841. CrossRef
Impact of continuous glucose monitoring on glycemic control and its derived metrics in type 1 diabetes: a longitudinal study
So Hyun Cho, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
Frontiers in Endocrinology.2023;[Epub] CrossRef
Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Diabetology.2023;[Epub] CrossRef
Asia-Pacific consensus recommendations for application of continuous glucose monitoring in diabetes management
Alice P.S. Kong, Soo Lim, Seung-Hyun Yoo, Linong Ji, Liming Chen, Yuqian Bao, Ester Yeoh, Siew-Pheng Chan, Chih-Yuan Wang, Viswanathan Mohan, Neale Cohen, Margaret J. McGill, Stephen M. Twigg
Diabetes Research and Clinical Practice.2023; 201: 110718. 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
Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017
Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
Diabetes & Metabolism Journal.2023; 47(3): 347. CrossRef
Opening the Precision Diabetes Care through Digital Healthcare
Joonyub Lee, Jin Yu, Kun-Ho Yoon
Diabetes & Metabolism Journal.2023; 47(3): 307. CrossRef
Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study
You-Bin Lee, Minjee Kim, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(3): 405. CrossRef
Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
Jun Sung Moon
Diabetes & Metabolism Journal.2023; 47(3): 345. CrossRef
Lost in translation: assessing the nomenclature change for diabetic kidney disease in Japan
Tetsuya Babazono, Tatsumi Moriya
Diabetology International.2023; 14(4): 319. 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
Topic Modeling Analysis of Diabetes-Related Health Information during the Coronavirus Disease Pandemic
Soyoon Min, Jeongwon Han
Healthcare.2023; 11(13): 1871. CrossRef
Screening Test for Evaluation of Cardiovascular Disease in Patients with Diabetes
Ji-Oh Mok, Chan-Hee Jung
The Journal of Korean Diabetes.2023; 24(2): 76. CrossRef
Paradigm Shift in Management of Hyperglycemia in Patients with Type 2 Diabetes: Glucocentric versus Organ Protection
Jong Chul Won
The Journal of Korean Diabetes.2023; 24(2): 59. CrossRef
Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
You Lee Yang, Eun-Ok Im, Yunmi Kim
BMC Nursing.2023;[Epub] CrossRef
Fibrotic Burden in the Liver Differs Across Metabolic Dysfunction-Associated Fatty Liver Disease Subtypes
Tae Seop Lim, Ho Soo Chun, Soon Sun Kim, Ja Kyung Kim, Minjong Lee, Hyo Jung Cho, Seung Up Kim, Jae Youn Cheong
Gut and Liver.2023; 17(4): 610. CrossRef
Association between the number of pregnancies and cardiac target organ damages: a cross-sectional analysis of data from the Korean women’s chest pain registry (KoROSE)
Hack-Lyoung Kim, Hyun-Jin Kim, Mina Kim, Sang Min Park, Hyun Ju Yoon, Young Sup Byun, Seong-Mi Park, Mi-Seung Shin, Kyung-Soon Hong, Myung-A Kim
BMC Women's Health.2023;[Epub] CrossRef
Exercise therapy for diabetes mellitus
Chaiho Jeong, Tae-Seo Sohn
Journal of the Korean Medical Association.2023; 66(7): 427. CrossRef
Medical nutrition therapy for diabetes mellitus
Suk Chon
Journal of the Korean Medical Association.2023; 66(7): 421. CrossRef
Identification of individuals at risk of hepatocellular carcinoma: screening for clinically significant liver fibrosis in patients with T2DM
Tina Reinson, Ryan M Buchanan, Christopher D Byrne
Expert Review of Endocrinology & Metabolism.2023; 18(5): 355. CrossRef
Additive impact of diabetes and sarcopenia on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
Eyun Song, Soon Young Hwang, Min Jeong Park, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi
Metabolism.2023; 148: 155678. CrossRef
Exposure to perfluoroalkyl and polyfluoroalkyl substances and risk of stroke in adults: a meta-analysis
Min Cheol Chang, Seung Min Chung, Sang Gyu Kwak
Reviews on Environmental Health.2023;[Epub] CrossRef
Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
Endocrinology and Metabolism.2023; 38(4): 426. CrossRef
Incident infection risks depending on oral antidiabetic exposure in insulin-treated type 2 diabetes patients
Sanghwa Park, Jiseon Jeong, Yunna Woo, Yeo Jin Choi, Sooyoung Shin
Scientific Reports.2023;[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
Journal of Lipid and Atherosclerosis.2023; 12(3): 237. 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
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-the-Art Review
Wah-Kheong Chan, Kee-Huat Chuah, Ruveena Bhavani Rajaram, Lee-Ling Lim, Jeyakantha Ratnasingam, Shireene Ratna Vethakkan
Journal of Obesity & Metabolic Syndrome.2023; 32(3): 197. 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
Diabetes & Metabolism Journal.2023; 47(5): 632. 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
Riesgo residual. Conclusiones
Ángel Cequier, José Luis Zamorano
Revista Española de Cardiología Suplementos.2023; 23: 25. 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
2023 Clinical Practice Guidelines for Diabetes
Min Kyong Moon
The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef
Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
Scientific Reports.2023;[Epub] CrossRef
Coleus forskohlii Root Extract (ForcslimTM) as a Prospective Antidiabetic Agent: In vitro Glucose Uptake Stimulation and α-Amylase Inhibitory Effects
Firoz Hirehal Hussain Mi, Channangihalli Thimmegowda Sadashiva, Neethumol Benny, Sreedrisya Ayippakkari Kuttiattu, Ravi Subban
International Journal of Pharmacology.2023; 19(5): 730. CrossRef
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 & Metabolism Journal.2023; 47(6): 837. CrossRef
Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
Diabetes & Metabolism Journal.2023; 47(6): 846. CrossRef
Strategies to Maintain the Remission of Diabetes Following Metabolic Surgery
Mi Kyung Kim, Hye Soon Kim
Journal of Metabolic and Bariatric Surgery.2023; 12(2): 26. 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
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
Endocrinology and Metabolism.2022; 37(1): 26. 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
Effectiveness and safety of teneligliptin added to patients with type 2 diabetes inadequately controlled by oral triple combination therapy: A multicentre, randomized, double‐blind, and placebo‐controlled study
Minyoung Lee, Woo‐je Lee, Jae Hyeon Kim, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2022; 24(6): 1105. CrossRef
Trends of severe hypoglycemia in patients with type 2 diabetes in Korea: A longitudinal nationwide cohort study
Jae‐Seung Yun, Kyungdo Han, Seung‐Hyun Ko
Journal of Diabetes Investigation.2022; 13(8): 1438. 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
Cardiorenal Risk Profiles Among Data-Driven Type 2 Diabetes Sub-Phenotypes: A Post-Hoc Analysis of the China Health and Nutrition Survey
Hui Gao, Kan Wang, Wensui Zhao, Jianlin Zhuang, Yu Jiang, Lei Zhang, Qingping Liu, Fariba Ahmadizar
Frontiers in Endocrinology.2022;[Epub] CrossRef
Individualized Medical Nutrition Therapy for Diabetic Patients according to Diabetes Medication
Juyeon Park
The Journal of Korean Diabetes.2022; 23(1): 50. CrossRef
Critical shear stress of red blood cells as a novel integrated biomarker for screening chronic kidney diseases in cases of type 2 diabetes
Il Rae Park, Jimi Choi, Eun Young Ha, Seung Min Chung, Jun Sung Moon, Sehyun Shin, Sin Gon Kim, Kyu Chang Won
Clinical Hemorheology and Microcirculation.2022; 81(4): 293. CrossRef
Effects of exercise on reducing diabetes risk in Korean women according to menopausal status
Jung-Hwan Cho, Hye-Mi Kwon, Se-Eun Park, Ju-Hwan Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Prevention and Pharmacotherapy.2022; 4(2): 75. CrossRef
Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
Frontiers in Endocrinology.2022;[Epub] CrossRef
Free Versus Fixed-Ratio Combination of Basal Insulin and GLP-1 Receptor Agonists in Type 2 Diabetes Uncontrolled With GLP-1 Receptor Agonists: A Systematic Review and Indirect Treatment Comparison
Han Na Jung, Yun Kyung Cho, Se Hee Min, Hwi Seung Kim, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
Frontiers in Endocrinology.2022;[Epub] CrossRef
Obesity, hypertension, diabetes mellitus, and hypercholesterolemia in Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
Ga Bin Lee, Yoonjung Kim, Suyeon Park, Hyeon Chang Kim, Kyungwon Oh
Epidemiology and Health.2022; 44: e2022041. CrossRef
Adherence to healthy lifestyle behaviors as a preventable risk factor for severe hypoglycemia in people with type 2 diabetes: A longitudinal nationwide cohort study
Jae‐Seung Yun, Kyungdo Han, Yong‐Moon Park, Eugene Han, Yong‐ho Lee, Seung‐Hyun Ko
Journal of Diabetes Investigation.2022; 13(9): 1533. 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
Comprehensive Understanding for Application in Korean Patients with Type 2 Diabetes Mellitus of the Consensus Statement on Carbohydrate-Restricted Diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hyperte
Jong Han Choi, Jee-Hyun Kang, Suk Chon
Diabetes & Metabolism Journal.2022; 46(3): 377. 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
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
Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
Journal of Medical Internet Research.2022; 24(7): e37430. CrossRef
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
Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068. CrossRef
Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy
Youngsook Kim, Ji Hye Huh, Minyoung Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
Frontiers in Endocrinology.2022;[Epub] CrossRef
Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
Haewon Byeon
Frontiers in Endocrinology.2022;[Epub] CrossRef
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
Extra-Glycemic Effects of Anti-Diabetic Medications: Two Birds with One Stone?
Eun-Jung Rhee
Endocrinology and Metabolism.2022; 37(3): 415. CrossRef
Pharmacological Treatment of Nonalcoholic Fatty Liver Disease: Antidiabetic Agents
Kyung-Soo Kim
The Journal of Korean Diabetes.2022; 23(2): 83. 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
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
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
Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
Seung-Hyun Ko
Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106. CrossRef
New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
Diabetes & Metabolism Journal.2022; 46(4): 517. CrossRef
Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
Eun-Jung Rhee
Journal of the Korean Medical Association.2022; 65(7): 388. 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
젊은 2형 당뇨병 환자의 관리
재현 배
Public Health Weekly Report.2022; 15(35): 2474. 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
Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
Heekyoung Jeong, Kyungdo Han, Soon Jib Yoo, Mee Kyoung Kim
Journal of Lipid and Atherosclerosis.2022; 11(3): 288. CrossRef
Blood Pressure Target in Type 2 Diabetes Mellitus
Hyun-Jin Kim, Kwang-il Kim
Diabetes & Metabolism Journal.2022; 46(5): 667. CrossRef
Association of underweight status with the risk of tuberculosis: a nationwide population-based cohort study
Su Hwan Cho, Hyun Lee, Hyuktae Kwon, Dong Wook Shin, Hee-Kyung Joh, Kyungdo Han, Jin Ho Park, Belong Cho
Scientific Reports.2022;[Epub] 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
External validation and clinical application of the predictive model for severe hypoglycemia
Jae-Seung Yun, Kyungdo Han, Soo-Yeon Choi, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
Frontiers in Endocrinology.2022;[Epub] CrossRef
Effect of Euonymus alatus Extracts on Diabetes Related Markers in Pancreatic β-Cells and C57BL/Ksj-db/db Mice
Ye Rin Kim, Eun-young Kim, Seong Uk Lee, Young Wan Kim, Yoon Hee Kim
Journal of the Korean Society of Food Science and Nutrition.2022; 51(9): 894. CrossRef
Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity
Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
Obesity.2022; 30(12): 2440. CrossRef
Correlation between shift work and non-alcoholic fatty liver disease among male workers in the steel manufacturing company of Korea: a cross-sectional study
Kiseok Kim, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Hyun Kyo Lee, Gwangin Baek, Sang Hyeon Kim, Eun-Chul Jang
Annals of Occupational and Environmental Medicine.2022;[Epub] CrossRef
FGM-based remote intervention for adults with type 1 diabetes: The FRIEND randomized clinical trial
Jinju Lee, Myeong Hoon Lee, Jiyun Park, Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho, Hyun Wook Han, Young Shin Song
Frontiers in Endocrinology.2022;[Epub] CrossRef
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
Diabetes & Metabolism Journal.2022; 46(6): 819. CrossRef
Blood Pressure Control in Patients with Diabetic Kidney Disease
Yaeni Kim, Won Kim, Jwa-Kyung Kim, Ju Young Moon, Samel Park, Cheol Whee Park, Hoon Suk Park, Sang Heon Song, Tae-Hyun Yoo, So-Young Lee, Eun Young Lee, Jeonghwan Lee, Kyubok Jin, Dae Ryong Cha, Jin Joo Cha, Sang Youb Han
Electrolytes & Blood Pressure.2022; 20(2): 39. CrossRef
The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303. CrossRef
Oral Semaglutide, the First Ingestible Glucagon-Like Peptide-1 Receptor Agonist: Could It Be a Magic Bullet for Type 2 Diabetes?
Hwi Seung Kim, Chang Hee Jung
International Journal of Molecular Sciences.2021; 22(18): 9936. CrossRef
Long-term effectiveness and safety of quadruple combination therapy with empagliflozin versus dapagliflozin in patients with type 2 diabetes: 3-year prospective observational study
Eu Jeong Ku, Dong-Hwa Lee, Hyun Jeong Jeon, Tae Keun Oh
Diabetes Research and Clinical Practice.2021; 182: 109123. CrossRef
Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2021;45:698-707)
Mi-kyung Kim
Diabetes & Metabolism Journal.2021; 45(6): 968. CrossRef
Incidence and Risk Factors for Progression to Diabetes Mellitus: A Retrospective Cohort Study
Min Kyung Hyun, Jong Heon Park, Kyoung Hoon Kim, Soon-Ki Ahn, Seon Mi Ji
International Journal of Environmental Research and Public Health.2021; 19(1): 123. CrossRef
2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System
Kyu Yeon Hur
The Journal of Korean Diabetes.2021; 22(4): 250. CrossRef
2021 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk
Min Kyong Moon
The Journal of Korean Diabetes.2021; 22(4): 259. CrossRef

Original Articles

Metabolic Risk/Epidemiology
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus: Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo; Diabetes Metab J. 2021;45(2):183-194. Published online June 16, 2020; DOI: https://doi.org/10.4093/dmj.2019.0171

7,431 View
236 Download
3 Web of Science
5 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub

Background

The age- and sex-related differences on the impacts of body composition on diabetes mellitus (DM) remain uncertain.

Methods

The fourth and fifth Korea National Health and Nutrition Examination Survey included 15,586 subjects over 30 years of age who completed dual-energy X-ray absorptiometry. We conducted a cross-sectional study to investigate whether muscle mass index (MMI), defined as appendicular skeletal muscle divided by body mass index (BMI), and fat mass index (FMI), defined as trunk fat mass divided by BMI, were differently associated with DM according to age and sex.

Results

In multivariate logistic regression, the risk for DM significantly increased across quartiles of FMI in men aged ≥70. Meanwhile, MMI showed a protective association with DM in men of the same age. The odds ratios (ORs) for the highest quartile versus the lowest quartile of FMI and MMI were 3.116 (95% confidence interval [CI], 1.405 to 6.914) and 0.295 (95% CI, 0.157 to 0.554), respectively. In women, the ORs of DM was significantly different across FMI quartiles in those over age 50. The highest quartile of FMI exhibited increased ORs of DM in subjects aged 50 to 69 (OR, 1.891; 95% CI, 1.229 to 2.908) and ≥70 (OR, 2.275; 95% CI, 1.103 to 4.69) compared to lowest quartile. However, MMI was not significantly associated with DM in women of all age groups.

Conclusion

Both FMI and MMI were independent risk factors for DM in men aged 70 years or more. In women over 50 years, FMI was independently associated with DM. There was no significant association between MMI and DM in women.

Citations

Citations to this article as recorded by

Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
敏张
Advances in Clinical Medicine.2024; 14(03): 936. 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
Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
Diabetes Research and Clinical Practice.2022; 189: 109939. CrossRef
Whole and segmental body composition changes during mid-follicular and mid-luteal phases of the menstrual cycle in recreationally active young women
Şükran Nazan Koşar, Yasemin Güzel, Mehmet Gören Köse, Ayşe Kin İşler, Tahir Hazır
Annals of Human Biology.2022; 49(2): 124. CrossRef
Body Composition and Diabetes
Hye Jin Yoo
The Journal of Korean Diabetes.2021; 22(4): 238. CrossRef

Clinical Diabetes & Therapeutics
Additional Effect of Dietary Fiber in Patients with Type 2 Diabetes Mellitus Using Metformin and Sulfonylurea: An Open-Label, Pilot Trial: Seung-Eun Lee, Yongbin Choi, Ji Eun Jun, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gwang Pyo Ko, Moon-Kyu Lee; Diabetes Metab J. 2019;43(4):422-431. Published online April 23, 2019; DOI: https://doi.org/10.4093/dmj.2018.0090

5,784 View
77 Download
8 Web of Science
7 Crossref

Abstract PDF PubReader

Background

Metformin, sulfonylurea, and dietary fiber are known to affect gut microbiota in patients with type 2 diabetes mellitus (T2DM). This open and single-arm pilot trial investigated the effects of the additional use of fiber on glycemic parameters, insulin, incretins, and microbiota in patients with T2DM who had been treated with metformin and sulfonylurea.

Methods

Participants took fiber for 4 weeks and stopped for the next 4 weeks. Glycemic parameters, insulin, incretins during mixed-meal tolerance test (MMTT), lipopolysaccharide (LPS) level, and fecal microbiota were analyzed at weeks 0, 4, and 8. The first tertile of difference in glucose area under the curve during MMTT between weeks 0 and 4 was defined as ‘responders’ and the third as ‘nonresponders,’ respectively.

Results

In all 10 participants, the peak incretin levels during MMTT were higher and LPS were lower at week 4 as compared with at baseline. While the insulin sensitivity of the ‘responders’ increased at week 4, that of the ‘nonresponders’ showed opposite results. However, the results were not statistically significant. In all participants, metabolically unfavorable microbiota decreased at week 4 and were restored at week 8. At baseline, metabolically hostile bacteria were more abundant in the ‘nonresponders.’ In ‘responders,’ Roseburia intestinalis increased at week 4.

Conclusion

While dietary fiber did not induce additional changes in glycemic parameters, it showed a trend of improvement in insulin sensitivity in ‘responders.’ Even if patients are already receiving diabetes treatment, the additional administration of fiber can lead to additional benefits in the treatment of diabetes.

Citations

Citations to this article as recorded by

The effects of prebiotics on gastrointestinal side effects of metformin in youth: A pilot randomized control trial in youth-onset type 2 diabetes
Sydney A. Dixon, Sidharth Mishra, Katrina B. Dietsche, Shalini Jain, Lilian Mabundo, Michael Stagliano, Andrea Krenek, Amber Courville, Shanna Yang, Sara A. Turner, Abby G. Meyers, Doris E. Estrada, Hariom Yadav, Stephanie T. Chung
Frontiers in Endocrinology.2023;[Epub] CrossRef
The impact of dietary, surgical, and pharmacological interventions on gut microbiota in individuals with diabetes mellitus: A systematic review
Patricia M. Bock, Andreza F. Martins, Rafaela Ramalho, Gabriela H. Telo, Gabriel Leivas, Clara K. Maraschin, Beatriz D. Schaan
Diabetes Research and Clinical Practice.2022; 189: 109944. CrossRef
Assessment of the safety and probiotic properties of Roseburia intestinalis: A potential “Next Generation Probiotic”
Chao Zhang, Kejia Ma, Kai Nie, Minzi Deng, Weiwei Luo, Xing Wu, Yujun Huang, Xiaoyan Wang
Frontiers in Microbiology.2022;[Epub] CrossRef
The Effect of Prebiotics and Oral Anti-Diabetic Agents on Gut Microbiome in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis of Randomised Controlled Trials
Omorogieva Ojo, Xiaohua Wang, Osarhumwese Osaretin Ojo, Joanne Brooke, Yiqing Jiang, Qingqing Dong, Trevor Thompson
Nutrients.2022; 14(23): 5139. CrossRef
The Effect of Dietary Interventions on Chronic Inflammatory Diseases in Relation to the Microbiome: A Systematic Review
Carlijn A. Wagenaar, Marieke van de Put, Michelle Bisschops, Wendy Walrabenstein, Catharina S. de Jonge, Hilde Herrema, Dirkjan van Schaardenburg
Nutrients.2021; 13(9): 3208. CrossRef
The Role of Dietary Fibre in Modulating Gut Microbiota Dysbiosis in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials
Omorogieva Ojo, Qian-Qian Feng, Osarhumwese Osaretin Ojo, Xiao-Hua Wang
Nutrients.2020; 12(11): 3239. CrossRef
High Fiber and Beta Carotene from Sweet Potatoes and Pumpkin Improve Insulin Resistance by Inhibition of Sterol Regulatory Binding Protein 1c in Liver of Hypertriglyceridemic Rats
Sunarti Sunarti, Umar Santoso, Abrory Agus Cahya Pramana, Emy Huriyati, Dianandha Septiana Rubi
Open Access Macedonian Journal of Medical Sciences.2020; 8(A): 898. CrossRef

Obesity and Metabolic Syndrome
Utility of Serum Albumin for Predicting Incident Metabolic Syndrome According to Hyperuricemia: You-Bin Lee, Ji Eun Jun, Seung-Eun Lee, Jiyeon Ahn, Gyuri Kim, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Jae Hyeon Kim; Diabetes Metab J. 2018;42(6):529-537. Published online September 28, 2018; DOI: https://doi.org/10.4093/dmj.2018.0012

4,367 View
47 Download
9 Web of Science
10 Crossref

Abstract PDF Supplementary Material PubReader

Background

Serum albumin and uric acid have been positively linked to metabolic syndrome (MetS). However, the association of MetS incidence with the combination of uric acid and albumin levels has not been investigated. We explored the association of albumin and uric acid with the risk of incident MetS in populations divided according to the levels of these two parameters.

Methods

In this retrospective longitudinal study, 11,613 non-MetS participants were enrolled among 24,185 individuals who had undergone at least four annual check-ups between 2006 and 2012. The risk of incident MetS was analyzed according to four groups categorized by the sex-specific medians of serum albumin and uric acid.

Results

During 55,407 person-years of follow-up, 2,439 cases of MetS developed. The risk of incident MetS increased as the uric acid category advanced in individuals with lower or higher serum albumin categories with hazard ratios (HRs) of 1.386 (95% confidence interval [CI], 1.236 to 1.554) or 1.314 (95% CI, 1.167 to 1.480). However, the incidence of MetS increased with higher albumin levels only in participants in the lower uric acid category with a HR of 1.143 (95% CI, 1.010 to 1.294).

Conclusion

Higher levels of albumin were associated with an increased risk of incident MetS only in individuals with lower uric acid whereas higher levels of uric acid were positively linked to risk of incident MetS regardless of albumin level.

Citations

Citations to this article as recorded by

Dissecting the risk factors for hyperuricemia in vegetarians in Taiwan
Kai-Chieh Chang, Sin-Yi Huang, Wen-Hsin Tsai, Hao-Wen Liu, Jia-Sin Liu, Chia-Lin Wu, Ko-Lin Kuo
Journal of the Chinese Medical Association.2024; 87(4): 393. CrossRef
A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
BMC Public Health.2023;[Epub] CrossRef
Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
Diabetes & Metabolism Journal.2022; 46(5): 756. CrossRef
Nutritional Biomarkers and Heart Rate Variability in Patients with Subacute Stroke
Eo Jin Park, Seung Don Yoo
Nutrients.2022; 14(24): 5320. CrossRef
Mean and visit-to-visit variability of glycemia and left ventricular diastolic dysfunction: A longitudinal analysis of 3025 adults with serial echocardiography
Jiyeon Ahn, Janghyun Koh, Darae Kim, Gyuri Kim, Kyu Yeon Hur, Sang Won Seo, Kyunga Kim, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
Metabolism.2021; 116: 154451. CrossRef
Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
Obesity Reviews.2021;[Epub] CrossRef
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Salim S. Virani, Alvaro Alonso, Emelia J. Benjamin, Marcio S. Bittencourt, Clifton W. Callaway, April P. Carson, Alanna M. Chamberlain, Alexander R. Chang, Susan Cheng, Francesca N. Delling, Luc Djousse, Mitchell S.V. Elkind, Jane F. Ferguson, Myriam Forn
Circulation.2020;[Epub] CrossRef
Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome
Guillermo Mena-Sánchez, Nancy Babio, Nerea Becerra-Tomás, Miguel Á. Martínez-González, Andrés Díaz-López, Dolores Corella, Maria D. Zomeño, Dora Romaguera, Jesús Vioque, Ángel M. Alonso-Gómez, Julia Wärnberg, José A. Martínez, Luís Serra-Majem, Ramon Estr
Nutrition, Metabolism and Cardiovascular Diseases.2020; 30(2): 214. CrossRef
Evaluation of serum uric acid levels in patients with rosacea
Nermin Karaosmanoglu, Engin Karaaslan, Pınar Ozdemir Cetinkaya
Archives of Dermatological Research.2020; 312(6): 447. CrossRef
Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
Jin Hwa Kim
Diabetes & Metabolism Journal.2019; 43(5): 727. CrossRef

Epidemiology
High Proportion of Adult Cases and Prevalence of Metabolic Syndrome in Type 1 Diabetes Mellitus Population in Korea: A Nationwide Study: You-Bin Lee, Kyungdo Han, Bongsung Kim, Sang-Man Jin, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Jae Hyeon Kim; Diabetes Metab J. 2019;43(1):76-89. Published online August 22, 2018; DOI: https://doi.org/10.4093/dmj.2018.0048

5,859 View
109 Download
26 Web of Science
30 Crossref

Abstract PDF Supplementary Material PubReader

Background

The prevalence and incidence of type 1 diabetes mellitus (T1DM) in all age groups and the prevalence of metabolic syndrome in patients with T1DM in Korea were estimated.

Methods

The incidence and prevalence of T1DM between 2007 and 2013 were calculated using the Korean National Health Insurance Service (NHIS) datasets of claims. Clinical characteristics and prevalence of metabolic syndrome in individuals with T1DM between 2009 and 2013 were determined using the database of NHIS preventive health checkups.

Results

The prevalence of T1DM in Korea between 2007 and 2013 was 0.041% to 0.047%. The annual incidence rate of T1DM in Korea in 2007 to 2013 was 2.73 to 5.02/100,000 people. Although the incidence rate of typical T1DM was highest in teenagers, it remained steady in adults over 30 years of age. In contrast, the incidence rate of atypical T1DM in 2013 was higher in people aged 40 years or older than in younger age groups. Age- and sex-adjusted prevalence of metabolic syndrome in patients with T1DM was 51.65% to 55.06% between 2009 and 2013.

Conclusion

T1DM may be more common in Korean adults than previously believed. Metabolic syndrome may be a frequent finding in individuals with T1DM in Korea.

Citations

Citations to this article as recorded by

Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
Diabetes & Metabolism.2024; 50(1): 101505. CrossRef
Incidence and trends of type 1 diabetes before and after 2000 in the Western Pacific Region: A systematic review and meta-analysis
Du Wang, Xiaoli Hou, Juan Huang, Jianjing Sun, Takashi Kadowaki, Moon-Kyu Lee, Alicia J. Jenkins, Linong Ji
Diabetes Research and Clinical Practice.2024; 207: 111055. CrossRef
The emergence of obesity in type 1 diabetes
Martin T. W. Kueh, Nicholas W. S. Chew, Ebaa Al-Ozairi, Carel W. le Roux
International Journal of Obesity.2024; 48(3): 289. CrossRef
Prevalence of Metabolic Syndrome and Its Risk Factors Influence on Microvascular Complications in Patients With Type 1 and Type 2 Diabetes Mellitus
Asad Riaz, Shoaib Asghar, Salman Shahid, Haider Tanvir, Muhammad Hamza Ejaz, Mamuna Akram
Cureus.2024;[Epub] CrossRef
Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes & Metabolism Journal.2024; 48(2): 290. CrossRef
Comparison of Insulin-Treated Patients with Ambiguous Diabetes Type with Definite Type 1 and Type 2 Diabetes Mellitus Subjects: A Clinical Perspective
Insa Laspe, Juris J. Meier, Michael A. Nauck
Diabetes & Metabolism Journal.2023; 47(1): 140. CrossRef
Clinical and biochemical profile of childhood–adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians
Viswanathan Mohan, Ganesan Uma Sankari, Anandakumar Amutha, Ranjit Mohan Anjana, Saravanan Jeba Rani, Ranjit Unnikrishnan, Ulagamathesan Venkatesan, Coimbatore Subramanian Shanthi Rani
Acta Diabetologica.2023; 60(4): 579. CrossRef
Subtypes of type 2 diabetes and their association with outcomes in Korean adults - A cluster analysis of community-based prospective cohort
You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
Metabolism.2023; 141: 155514. CrossRef
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(2): 211. CrossRef
Insulin resistance is more frequent in type 1 diabetes patients with long disease duration
Yuting Xie, Mei Shi, Xiaolin Ji, Fansu Huang, Li Fan, Xia Li, Zhiguang Zhou
Diabetes/Metabolism Research and Reviews.2023;[Epub] CrossRef
Long-term Effectiveness of the National Diabetes Quality Assessment Program in South Korea
Ji Hye Huh, Serim Kwon, Gui Ok Kim, Bo Yeon Kim, Kyoung Hwa Ha, Dae Jung Kim
Diabetes Care.2023; 46(9): 1700. CrossRef
Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(5): 682. CrossRef
Impact of statin treatment on cardiovascular risk in patients with type 1 diabetes: a population-based cohort study
Joonsang Yoo, Jimin Jeon, Minyoul Baek, Sun Ok Song, Jinkwon Kim
Journal of Translational Medicine.2023;[Epub] CrossRef
Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus
Qianwen Huang, Daizhi Yang, Hongrong Deng, Hua Liang, Xueying Zheng, Jinhua Yan, Wen Xu, Xiangwen Liu, Bin Yao, Sihui Luo, Jianping Weng
Diabetes & Metabolism Journal.2022; 46(1): 93. CrossRef
The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions
Jessica L. Harding, Pandora L. Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A. Oram, Dianna J. Magliano, Zhiguang Zhou, Alicia J. Jenkins, Ronald C.W. Ma
Diabetes Care.2022; 45(4): 994. CrossRef
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Diabetes & Metabolism Journal.2021; 45(1): 46. CrossRef
Genomic ancestry and metabolic syndrome in individuals with type 1 diabetes from an admixed population: a multicentre, cross‐sectional study in Brazil
B. S. V. Barros, D. C. Santos, L. G. N. Melo, M. H. Pizarro, L. H. Muniz, D. A. Silva, L. C. Porto, M. B. Gomes
Diabetic Medicine.2021;[Epub] CrossRef
The Interplay Between Diet and the Epigenome in the Pathogenesis of Type-1 Diabetes
Amira Kohil, Maha Al-Asmakh, Mashael Al-Shafai, Annalisa Terranegra
Frontiers in Nutrition.2021;[Epub] CrossRef
Risk of early mortality and cardiovascular disease according to the presence of recently diagnosed diabetes and requirement for insulin treatment: A nationwide study
You‐Bin Lee, Kyungdo Han, Bongsung Kim, Min Sun Choi, Jiyun Park, Minyoung Kim, Sang‐Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
Journal of Diabetes Investigation.2021; 12(10): 1855. CrossRef
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
Ye Seul Yang, Tae Seo Sohn
Diabetes & Metabolism Journal.2021; 45(2): 277. 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
Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study
You-Bin Lee, Bongsung Kim, Jiyun Park, Minyoung Kim, Min Sun Choi, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
International Journal of Obesity.2021; 45(11): 2482. 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
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
Mortality and causes of death in a population with blindness in Korea: A longitudinal follow-up study using a national sample cohort
Hyo Geun Choi, Min Joung Lee, Sang-Mok Lee
Scientific Reports.2020;[Epub] CrossRef
Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
Cardiovascular Diabetology.2020;[Epub] CrossRef
Management of Type 1 Diabetes Mellitus in Adults
Hye Ryoung Yun
The Journal of Korean Diabetes.2020; 21(3): 156. CrossRef
New Insulin Pumps and Open Source Artificial Pancreas System in Korea
Jae Hyeon Kim
The Journal of Korean Diabetes.2020; 21(4): 197. CrossRef
Risk of early mortality and cardiovascular disease in type 1 diabetes: a comparison with type 2 diabetes, a nationwide study
You-Bin Lee, Kyungdo Han, Bongsung Kim, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Cardiovascular Diabetology.2019;[Epub] CrossRef
Risk of end‐stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome
You‐Bin Lee, Kyungdo Han, Bongsung Kim, Ji Eun Jun, Seung‐Eun Lee, Jiyeon Ahn, Gyuri Kim, Sang‐Man Jin, Jae Hyeon Kim
Diabetes/Metabolism Research and Reviews.2019;[Epub] CrossRef

First
Prev
Page of 1
Next
Last

Search