Corrigendum
- Diabetes Fact Sheets in Korea 2024
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Se Eun Park, Seung-Hyun Ko, Ji Yoon Kim, Kyuho Kim, Joon Ho Moon, Nam Hoon Kim, Kyung Do Han, Sung Hee Choi, Bong Soo Cha
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Diabetes Metab J. 2025;49(3):524-524. Published online May 1, 2025
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DOI: https://doi.org/10.4093/dmj.2024.0818.c1
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Corrects: Diabetes Metab J 2025;49(1):24
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- Impact of smart watch mobile application on the risk treatment of type 2 diabetes mellitus (iSMART-DM)
Min Kyoung Jang, Yun Kyung Cho, Jung Yoon Moon, Se Hee Min, Ju Hee Hwang, Chang Hee Jung
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Soohyun Lee, Jaewoong Kim, Areum Shin, Sunhee Jo, Chul Sik Kim, Taeyoung Kyong
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Seung-Hee Lee, Seo-Jeong Heo, Jonghoon Park
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Seung Hee Lee, Hyeon Young Park, Ji Ho Yun, Eun Kyoung Do
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Inji Lee, Minji Kang, Ji Hye Choi, Hyunjung Lim, Suk Chon
Diabetes & Metabolism Journal.2025; 49(5): 951. CrossRef - Real‐World Evidence of Long‐Term Dulaglutide Use: Sustained Glycemic and Weight Improvements Beyond Three Years
Hwi Seung Kim, Myung Jin Kim, Hee Sung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
Clinical Endocrinology.2025;[Epub] CrossRef
Original Articles
- Guideline/Statement/Fact Sheet
- Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010–2020)
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Ji Yoon Kim, Jiyoon Lee, Joon Ho Moon, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Nam Hoon Kim
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Diabetes Metab J. 2025;49(2):172-182. Published online March 1, 2025
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DOI: https://doi.org/10.4093/dmj.2024.0826
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- Background
This study aimed to examine trends in the prevalence, incidence, metabolic characteristics, and management of type 2 diabetes mellitus (T2DM) among young adults in South Korea.
Methods
Young adults with T2DM were defined as individuals aged 19 to 39 years who met the diagnostic criteria for T2DM. Data from the Korean National Health Insurance Service-Customized Database (2010–2020, n=225,497–372,726) were analyzed to evaluate trends in T2DM prevalence, incidence, metabolic profiles, comorbidities, and antidiabetic drug prescription. Additional analyses were performed using the Korea National Health and Nutrition Examination Survey.
Results
The prevalence of T2DM in young adults significantly increased from 1.02% in 2010 to 2.02% in 2020 (P<0.001), corresponding to 372,726 patients in 2020. Over the same period, the incidence rate remained stable within the range of 0.36% to 0.45%. Prediabetes prevalence steadily increased from 15.53% to 20.92%, affecting 3.87 million individuals in 2020. The proportion of young adults with T2DM who were obese also increased, with 67.8% having a body mass index (BMI) ≥25 kg/m² and 31.6% having a BMI ≥30 kg/m² in 2020. The prevalence of hypertension, dyslipidemia, and fatty liver disease also increased, reaching 34.2%, 79.8%, and 78.9%, respectively, in 2020. Although the overall pharmacological treatment rate remained low, the prescription of antidiabetic medications with weight-reducing properties increased over the study period.
Conclusion
The prevalence of T2DM among young adults in South Korea nearly doubled over the past decade. The strong association with obesity and metabolic comorbidities emphasizes the urgent need for targeted prevention and management strategies tailored to this population.
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Mi Kyung Kim
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- Guideline/Statement/Fact Sheet
- Diabetes Fact Sheets in Korea 2024
-
Se Eun Park, Seung-Hyun Ko, Ji Yoon Kim, Kyuho Kim, Joon Ho Moon, Nam Hoon Kim, Kyung Do Han, Sung Hee Choi, Bong Soo Cha
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Diabetes Metab J. 2025;49(1):24-33. Published online January 1, 2025
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DOI: https://doi.org/10.4093/dmj.2024.0818
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Correction in: Diabetes Metab J 2025;49(3):524
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- Background
This study aimed to investigate the prevalence, management, and comorbidities of diabetes mellitus among Korean adults.
Methods
Data from the Korea National Health and Nutrition Examination Survey (2019–2022) were analyzed to assess the prevalence, treatment, risk factors, and comorbidities of diabetes. Comparisons between young and older adults with diabetes were emphasized.
Results
Among Korean adults aged ≥30 years, the prevalence of diabetes is 15.5% during 2021–2022. Of these, 74.7% were aware of their condition, 70.9% received antidiabetic treatment, and only 32.4% achieved glycosylated hemoglobin (HbA1c) <6.5%. Moreover, 15.9% met the integrated management targets, which included HbA1c <6.5%, blood pressure <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL. In young adults aged 19 to 39 years, the prevalence of diabetes was 2.2%. Among them, 43.3% were aware of their condition, 34.6% received treatment, and 29.6% achieved HbA1c <6.5%. Obesity affected 87.1%, and 26.9% had both hypertension and hypercholesterolemia. Among adults aged ≥65 years, the prevalence of diabetes was 29.3%, with awareness, treatment, and control rates of 78.8%, 75.7%, and 31.2%, respectively. Integrated management targets (HbA1c <7.5%, hypertension, and lipids) were achieved by 40.1%.
Conclusion
Diabetes mellitus remains highly prevalent among Korean adults, with significant gaps in integrated glycemic, blood pressure, and lipid control. Older adults with diabetes show higher awareness and treatment rates but limited integrated management outcomes. Young adults with diabetes bear a significant burden of obesity and comorbidities, alongside low awareness and treatment rates. Therefore, early intervention programs, education, and strategies tailored to younger populations are urgently required.
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- Basic Research
- Glucagon-Like Peptide Receptor Agonist Inhibits Angiotensin II-Induced Proliferation and Migration in Vascular Smooth Muscle Cells and Ameliorates Phosphate-Induced Vascular Smooth Muscle Cells Calcification
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Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
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Diabetes Metab J. 2024;48(1):83-96. Published online January 3, 2024
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DOI: https://doi.org/10.4093/dmj.2022.0363
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- Background
Glucagon-like peptide-1 receptor agonist (GLP-1RA), which is a therapeutic agent for the treatment of type 2 diabetes mellitus, has a beneficial effect on the cardiovascular system.
Methods
To examine the protective effects of GLP-1RAs on proliferation and migration of vascular smooth muscle cells (VSMCs), A-10 cells exposed to angiotensin II (Ang II) were treated with either exendin-4, liraglutide, or dulaglutide. To examine the effects of GLP-1RAs on vascular calcification, cells exposed to high concentration of inorganic phosphate (Pi) were treated with exendin-4, liraglutide, or dulaglutide.
Results
Ang II increased proliferation and migration of VSMCs, gene expression levels of Ang II receptors AT1 and AT2, proliferation marker of proliferation Ki-67 (Mki-67), proliferating cell nuclear antigen (Pcna), and cyclin D1 (Ccnd1), and the protein expression levels of phospho-extracellular signal-regulated kinase (p-Erk), phospho-c-JUN N-terminal kinase (p-JNK), and phospho-phosphatidylinositol 3-kinase (p-Pi3k). Exendin-4, liraglutide, and dulaglutide significantly decreased the proliferation and migration of VSMCs, the gene expression levels of Pcna, and the protein expression levels of p-Erk and p-JNK in the Ang II-treated VSMCs. Erk inhibitor PD98059 and JNK inhibitor SP600125 decreased the protein expression levels of Pcna and Ccnd1 and proliferation of VSMCs. Inhibition of GLP-1R by siRNA reversed the reduction of the protein expression levels of p-Erk and p-JNK by exendin-4, liraglutide, and dulaglutide in the Ang II-treated VSMCs. Moreover, GLP-1 (9-36) amide also decreased the proliferation and migration of the Ang II-treated VSMCs. In addition, these GLP-1RAs decreased calcium deposition by inhibiting activating transcription factor 4 (Atf4) in Pi-treated VSMCs.
Conclusion
These data show that GLP-1RAs ameliorate aberrant proliferation and migration in VSMCs through both GLP-1Rdependent and independent pathways and inhibit Pi-induced vascular calcification.
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- Lifestyle
- Changes in Patterns of Physical Activity and Risk of Heart Failure in Newly Diagnosed Diabetes Mellitus Patients
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Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
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Diabetes Metab J. 2022;46(2):327-336. Published online November 24, 2021
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DOI: https://doi.org/10.4093/dmj.2021.0046
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- Background
Exercise is recommended for type 2 diabetes mellitus (T2DM) patients to prevent cardiovascular disease. However, the effects of physical activity (PA) for reducing the risk of heart failure (HF) has yet to be elucidated. We aimed to assess the effect of changes in patterns of PA on incident HF, especially in newly diagnosed diabetic patients.
Methods
We examined health examination data and claims records of 294,528 participants from the Korean National Health Insurance Service who underwent health examinations between 2009 and 2012 and were newly diagnosed with T2DM. Participants were classified into the four groups according to changes in PA between before and after the diagnosis of T2DM: continuously inactive, inactive to active, active to inactive, and continuously active. The development of HF was analyzed until 2017.
Results
As compared with those who were continuously inactive, those who became physically active after diagnosis showed a reduced risk for HF (adjusted hazard ratio [aHR], 0.79; 95% confidence interval [CI], 0.66 to 0.93). Those who were continuously active had the lowest risk for HF (aHR, 0.77; 95% CI, 0.62 to 0.96). As compared with those who were inactive, those who exercised regularly, either performing vigorous or moderate PA, had a lower HF risk (aHR, 0.79; 95% CI, 0.69 to 0.91).
Conclusion
Among individuals with newly diagnosed T2DM, the risk of HF was reduced in those with higher levels of PA after diagnosis was made. Our results suggest either increasing or maintaining the frequency of PA after the diagnosis of T2DM may lower the risk of HF.
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Citations
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- Global, regional, and national burden of major diabetes-related complications attributable to physical inactivity
Jayne Feter, Natan Feter, Rodrigo Leal-Menezes, Pedro C. Hallal, Daniel Umpierre
Journal of Sport and Health Science.2026; : 101123. CrossRef - Life-course obesity and heart failure: a two-sample Mendelian randomization study
Haili Wang, Jie Min, Lei Zhong, Jinyu Zhang, Lili Ye, Chunrong Chen
Internal and Emergency Medicine.2025; 20(1): 171. CrossRef - Critical Appraisal of Pharmaceutical Therapy in Diabetic Cardiomyopathy—Challenges and Prospectives
Elina Khattab, Michaelia Kyriakou, Elena Leonidou, Stefanos Sokratous, Angeliki Mouzarou, Michael M. Myrianthefs, Nikolaos P. E. Kadoglou
Pharmaceuticals.2025; 18(1): 134. CrossRef - Sitagliptin, diabetes mellitus, and heart failure: an in-depth review of sitagliptin therapy and heart failure in patients with diabetes mellitus
Mohammadjavad Sotoudeheian, Seyed-Mohamad-Sadegh Mirahmadi, Pedram Salehi Darjani, Mohammad Moradi, Mohammad Pirhayati, Mohammad Sedigh Dakkali, Mehdi Taghizadeh, Reza Azarbad, Hamidreza Pazoki Toroudi
Diabetology International.2025; 16(2): 237. CrossRef - Exploring the Lack of Physical Activity among Adolescents Worldwide
Dalmacito A. Cordero Jr.
Diabetes & Metabolism Journal.2025; 49(3): 513. CrossRef - Physical activity for prevention of cardiovascular disease: consensus statement of Korean Society of Cardio-cerebrovascular Disease Prevention
Ye Seul Yang, Eu Jeong Ku, Seung-Hyun Ko, Eun-Jung Rhee, Sang-Hyun Ihm, Sung Hee Choi, Won-Young Lee
The Korean Journal of Internal Medicine.2025; 40(5): 696. CrossRef - Physical activity for prevention of cardiovascular disease: a consensus statement of the Korean Society of Cardio-cerebrovascular Disease Prevention
Ye Seul Yang, Eu Jeong Ku, Seung-Hyun Ko, Eun-Jung Rhee, Sang-Hyun Ihm, Sung Hee Choi, Won-Young Lee
Cardiovascular Prevention and Pharmacotherapy.2025; 7(4): 120. CrossRef - Associations Between Physical Activity and the Risk of Hip Fracture Depending on Glycemic Status: A Nationwide Cohort Study
Kyoung Min Kim, Kyoung Jin Kim, Kyungdo Han, Yumie Rhee
The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1194. CrossRef - Association between exercise habits and incident type 2 diabetes mellitus in patients with thyroid cancer: nationwide population-based study
Jiyun Park, Jin-Hyung Jung, Hyunju Park, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyungdo Han, Kyung-Soo Kim
BMC Medicine.2024;[Epub] CrossRef - Dose-Response Relationship Between Physical Activity and the Morbidity and Mortality of Cardiovascular Disease Among Individuals With Diabetes: Meta-Analysis of Prospective Cohort Studies
Yang Chen, Xingsheng Jin, Guochong Chen, Ru Wang, Haili Tian
JMIR Public Health and Surveillance.2024; 10: e54318. 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 - 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 - Association of plasma brain-derived neurotrophic factor levels and frailty in community-dwelling older adults
Eun Roh, Soon Young Hwang, Eyun Song, Min Jeong Park, Hye Jin Yoo, Sei Hyun Baik, Miji Kim, Chang Won Won, Kyung Mook Choi
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Jiyun Park, Gyuri Kim, Hasung Kim, Jungkuk Lee, Sang-Man Jin, Jae Hyeon Kim
Cardiovascular Diabetology.2022;[Epub] CrossRef
- Metabolic Risk/Epidemiology
- Dose-Dependent Effect of Smoking on Risk of Diabetes Remains after Smoking Cessation: A Nationwide Population-Based Cohort Study in Korea
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Se Eun Park, Mi Hae Seo, Jung-Hwan Cho, Hyemi Kwon, Yang-Hyun Kim, Kyung-Do Han, Jin-Hyung Jung, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
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Diabetes Metab J. 2021;45(4):539-546. Published online March 4, 2021
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DOI: https://doi.org/10.4093/dmj.2020.0061
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- Background
This study aimed to evaluate the dose-dependent effects of smoking on risk of diabetes among those quitting smoking.
Methods
We analyzed clinical data from a total of 5,198,792 individuals age 20 years or older who received health care check-up arranged by the national insurance program of Korea between 2009 and 2016 using the Korean National Health Insurance Service database. Cumulative smoking was estimated by pack-years. Smokers were classified into four categories according to the amount of smoking: light smokers (0.025 to 5 smoking pack-years), medium smokers (5 to 14 smoking pack-years), heavy smokers (14 to 26 smoking pack-years), and extreme smokers (more than 26 smoking pack-years).
Results
During the study period, 164,335 individuals (3.2% of the total population) developed diabetes. Compared to sustained smokers, the risk of diabetes was significantly reduced in both quitters (hazard ratio [HR], 0.858; 95% confidence interval [CI], 0.838 to 0.878) and nonsmokers (HR, 0.616; 95% CI, 0.606 to 0.625) after adjustment for multiple risk factors. The risk of diabetes gradually increased with amount of smoking in both quitters and current smokers. The risk of diabetes in heavy (HR, 1.119; 95% CI, 1.057 to 1.185) and extreme smokers (HR, 1.348; 95% CI, 1.275 to 1.425) among quitters was much higher compared to light smokers among current smokers.
Conclusion
Smoking cessation was effective in reducing the risk of diabetes regardless of weight change. However, there was a potential dose-dependent association between smoking amount and the development of diabetes. Diabetes risk still remained in heavy and extreme smokers even after smoking cessation.
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Citations
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Yifan Yu, Yan Li, Thu T. Nguyen, Dahai Yue, Nedelina Tchangalova, Caitlin E. Flouton, Hongjie Liu
Preventive Medicine.2026; 202: 108429. CrossRef - Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007–2018
Efrain Riveros Perez, Bibiana Avella-Molano
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Kyu Yean Kim, Yong-Moon Park, Seung Hyun Ko, Kyungdo Han, Seung Hoon Kim, Shin Young Kim, Sung Kyoung Kim, Fredirick Lazaro mashili
PLOS One.2025; 20(4): e0322616. CrossRef - Impact of smoking on diabetes complications: a secondary analysis of the Korean National Health Insurance Service-health screening cohort (2002–2019)
Seonmi Yeom, Youngran Yang
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Ingrid Allagbé, David Baudoin, Bastien Rance, Anne-Laurence Le Faou, Melike Mercan Baspinar
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Wooin Seo, Se Young Jung, KeeHyuck Lee, Woo Kyung Bae, Jong Soo Han, Hyejin Lee, Ji Soo Kim, Hye Yeon Koo, Seung Yeon Lee, Kiheon Lee
Tobacco Induced Diseases.2025; 23(June): 1. CrossRef - Long-Term and Heavy Smoking as a Risk Factor for Lumbar Spinal Stenosis: Evidence from a Large-Scale, Nationwide Population-Based Cohort
Ji-Hyun Ryu, Ki-Won Kim, Ju-Yeong Kim
Journal of Clinical Medicine.2025; 14(21): 7691. CrossRef - Surfactant Protein D Mediates the Association Between Smoking and Type 2 Diabetes Mellitus Incidence in the Spanish Adult Population: Di@bet.es Study
Wasima Oualla-Bachiri, Ana Lago-Sampedro, Eva García-Escobar, Cristina Maldonado-Araque, Viyey Doulatram-Gamgaram, Marta García-Vivanco, Fernando Martín-Llorente, Juan Luis Garrido, Elías Delgado, Felipe J. Chaves, Luis Castaño, Alfonso Calle-Pascual, Jos
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The Lancet Regional Health - Western Pacific.2024; 43: 100842. CrossRef - The Concentrations of Interleukin-6, Insulin, and Glucagon in the Context of Obesity and Type 2 Diabetes and Single Nucleotide Polymorphisms in IL6 and INS Genes
Magdalena Król-Kulikowska, Iwona Urbanowicz, Marta Kepinska, Mayank Choubey
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among middle-aged and elderly adults in China:
A population-based study
Qingjia Zeng, Chongyang Zhang, Feiyu Su, Yanli Wan, Wen-jun Tu, Hongpu Hu
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Do Yeon Lim, Sun Ha Jee
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Do Yeon Lim, Sun Ha Jee
Journal of the Korean Society for Research on Nicotine and Tobacco.2024; 15(4): 126. CrossRef - Chronic cigarette smoking is associated with increased arterial stiffness in men and women: evidence from a large population-based cohort
Omar Hahad, Volker H. Schmitt, Natalie Arnold, Karsten Keller, Jürgen H. Prochaska, Philipp S. Wild, Andreas Schulz, Karl J. Lackner, Norbert Pfeiffer, Irene Schmidtmann, Matthias Michal, Jörn M. Schattenberg, Oliver Tüscher, Andreas Daiber, Thomas Münzel
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Journal of Clinical Medicine.2022; 11(4): 1077. CrossRef - Smoking cessation and risk of type 2 diabetes
Jana Malinovská, Jana Urbanová, Veronika Vejtasová, Alexandra Romanová, Sabina Pálová, Syed Taha Naeem, Jan Brož
Vnitřní lékařství.2022; 68(1): E04. CrossRef - Association between lung function and the risk of atrial fibrillation in a nationwide population cohort study
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Jin Suk Ra
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Vincent Durlach, Bruno Vergès, Abdallah Al-Salameh, Thibault Bahougne, Farid Benzerouk, Ivan Berlin, Carole Clair, Jacques Mansourati, Alexia Rouland, Daniel Thomas, Philippe Thuillier, Blandine Tramunt, Anne-Laurence Le Faou
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Yanli Wu, Xi He, Jie Zhou, Yiying Wang, Lisha Yu, Xuejiao Li, Tao Liu, Jianhua Luo
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Soo Young Kim
Journal of the Korean Medical Association.2022; 65(12): 776. CrossRef - Smoking Cessation after Diagnosis of New-Onset Atrial Fibrillation and the Risk of Stroke and Death
So-Ryoung Lee, Eue-Keun Choi, Jin-Hyung Jung, Kyung-Do Han, Seil Oh, Gregory Y. H. Lip
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- Cardiovascular risk/Epidemiology
- Increased Risk of Cardiovascular Disease and Mortality in Patients with Diabetes and Coexisting Depression: A Nationwide Population-Based Cohort Study
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Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Eun-Jung Rhee, Won-Young Lee
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Diabetes Metab J. 2021;45(3):379-389. Published online December 11, 2020
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DOI: https://doi.org/10.4093/dmj.2020.0008
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- Background
Previous studies have suggested that depression in patients with diabetes is associated with worse health outcomes. The aim of this study was to evaluate the risk of cardiovascular disease (CVD) and mortality in patients with diabetes with comorbid depression.
Methods
We examined the general health check-up data and claim database of the Korean National Health Insurance Service (NHIS) of 2,668,615 participants with type 2 diabetes mellitus who had examinations between 2009 and 2012. As NHIS database has been established since 2002, those who had been diagnosed with depression or CVD since 2002 were excluded. The 2,228,443 participants were classified into three groups according to the claim history of depression; normal group (n=2,166,979), transient depression group (one episode of depression, n=42,124) and persistent depression group (at least two episodes of depression, n=19,340). The development of CVD and mortality were analyzed from 2009 to 2017.
Results
Those with depression showed a significantly increased risk for stroke (transient depression group: hazard ratio [HR], 1.20; 95% confidence interval [CI], 1.15 to 1.26) (persistent depression group: HR, 1.54; 95% CI, 1.46 to 1.63). Those with depression had an increased risk for myocardial infarction (transient depression group: HR, 1.25; 95% CI, 1.18 to 1.31) (persistent depression group: HR, 1.38; 95% CI, 1.29 to 1.49). The persistent depression group had an increased risk for all-cause mortality (HR, 1.66; 95% CI, 1.60 to 1.72).
Conclusion
Coexisting depression in patients with diabetes has a deleterious effect on the development of CVD and mortality. We suggest that more attention should be given to patients with diabetes who present with depressive symptoms.
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Corrigendum
- Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
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Eun Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung Do Han, Yong Gyu Park, Yang Hyun Kim, Won Young Lee
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Diabetes Metab J. 2020;44(5):783-783. Published online October 21, 2020
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DOI: https://doi.org/10.4093/dmj.2020.0245
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Corrects: Diabetes Metab J 2020;44(4):592
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Original Articles
- Cardiovascular Risk/Epidemiology
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- Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
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Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
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Diabetes Metab J. 2020;44(4):592-601. Published online April 20, 2020
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DOI: https://doi.org/10.4093/dmj.2019.0104
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Correction in: Diabetes Metab J 2020;44(5):783
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Abstract
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- Background
Recent studies suggest an association between diabetes and increased risk of heart failure (HF). However, the associations among obesity status, glycemic status, and risk of HF are not known. In this study, we analyzed whether the risk of HF increases in participants according to baseline glycemic status and whether this increased risk is associated with obesity status.
MethodsWe analyzed the risk of HF according to baseline glycemic status (normoglycemia, impaired fasting glucose [IFG], and diabetes) in 9,720,220 Koreans who underwent Korean National Health Screening in 2009 without HF at baseline with a median follow-up period of 6.3 years. The participants were divided into five and six groups according to baseline body mass index (BMI) and waist circumference, respectively.
ResultsParticipants with IFG and those with diabetes showed a 1.08- and 1.86-fold increased risk of HF, respectively, compared to normoglycemic participants. Compared to the normal weight group (BMI, 18.5 to 22.9 kg/m2), the underweight group (BMI <18.5 kg/m2) showed a 1.7-fold increased risk of HF, and those with BMI ≥30 kg/m2 showed a 1.1-fold increased risk of HF, suggesting a J-shaped association with BMI. When similar analyses were performed for different glycemic statuses, the J-shaped association between BMI and HF risk was consistently observed in both groups with and without diabetes.
ConclusionParticipants with IFG and diabetes showed a significantly increased HF risk compared to normoglycemic participants. This increased risk of HF was mostly prominent in underweight and class II obese participants than in participants with normal weight.
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Tae-Eun Kim, Hyeongsu Kim, JiDong Sung, Duk-Kyung Kim, Myoung-Soon Lee, Seong Woo Han, Hyun-Joong Kim, Sung Hea Kim, Kyu-Hyung Ryu
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- Balsamic Vinegar Improves High Fat-Induced Beta Cell Dysfunction via Beta Cell ABCA1
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Hannah Seok, Ji Young Lee, Eun Mi Park, Se Eun Park, Jae Hyuk Lee, Seungtaek Lim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha
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Diabetes Metab J. 2012;36(4):275-279. Published online August 20, 2012
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DOI: https://doi.org/10.4093/dmj.2012.36.4.275
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7,517
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- Background
The aim of this study was to investigate the effects of balsamic vinegar on β-cell dysfunction.
MethodsIn this study, 28-week-old Otsuka Long-Evans Tokushima Fatty (OLETF) rats were fed a normal chow diet or a high-fat diet (HFD) and were provided with tap water or dilute balsamic vinegar for 4 weeks. Oral glucose tolerance tests and histopathological analyses were performed thereafter.
ResultsIn rats fed both the both chow diet and the HFD, the rats given balsamic vinegar showed increased insulin staining in islets compared with tap water administered rats. Balsamic vinegar administration also increased β-cell ATP-binding cassette transporter subfamily A member 1 (ABCA1) expression in islets and decreased cholesterol levels.
ConclusionThese findings provide the first evidence for an anti-diabetic effect of balsamic vinegar through improvement of β-cell function via increasing β-cell ABCA1 expression.
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Alberto Castagna, Yvelise Ferro, Francesca Rita Noto, Rossella Bruno, Analucia Aragao Guimaraes, Carmelo Pujia, Elisa Mazza, Samantha Maurotti, Tiziana Montalcini, Arturo Pujia
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Eleni I Petsiou, Panayota I Mitrou, Sotirios A Raptis, George D Dimitriadis
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Dong-Su Kim, Kwang-Soon Shin
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- Retrospective Analysis on the Efficacy, Safety and Treatment Failure Group of Sitagliptin for Mean 10-Month Duration
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Won Jun Kim, Cheol-Young Park, Eun Haeng Jeong, Jeong Youn Seo, Ji Soo Seol, Se Eun Park, Eun Jung Rhee, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
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Diabetes Metab J. 2011;35(3):290-297. Published online June 30, 2011
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DOI: https://doi.org/10.4093/dmj.2011.35.3.290
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7,711
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- Background
To investigate the clinical results of sitagliptin (SITA) and the characteristics of the treatment failure group or of low responders to SITA.
MethodsA retrospective study of type 2 diabetic patients reviewed 99 cases, including 12 treatment failure cases, who stopped SITA because of worsening patients' condition, and 87 cases, who continued treatment over five visits (total 9.9±10.1 months) after receiving the prescription of SITA from December 2008 to June 2009. Subjects were classified as five groups administered SITA as an initial combination with metformin (MET), add-on to metformin or sulfonylurea, and switching from sulfonylurea or thiazolidinedione. The changes in HbA1c level from the first to last visit (ΔHbA1c) in treatment maintenance group were subanalyzed.
ResultsThe HbA1c level was significantly reduced in four groups, including initial coadministration of SITA with metformin (ΔHbA1c=-1.1%, P<0.001), add-on to MET (ΔHbA1c=-0.6%, P=0.017), add-on to sulfonylurea (ΔHbA1c=-0.5%, P<0.001), and switching from thiazolidinedione (ΔHbA1c=-0.3%, P=0.013). SITA was noninferior to sulfonlyurea (ΔHbA1c=-0.2%, P=0.63). There was no significant adverse effect. The treatment failure group had a longer diabeties duration (P=0.008), higher HbA1c (P=0.001) and fasting plasma glucose (P=0.003) compared to the maintenance group. Subanalysis on the tertiles of ΔHbA1c showed that low-response to SITA (tertile 1) was associated with a longer diabetes duration (P=0.009) and lower HbA1c (P<0.001).
ConclusionSITA was effective and safe for use in Korean type 2 diabetic patients. However, its clinical responses and long-term benefit-harm profile is yet to be established.
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- Development of a 13C Stable Isotope Assay for Dipeptidyl Peptidase-4 Enzyme Activity A New Breath Test for Dipeptidyl Peptidase Activity
Roger Yazbeck, Simone Jaenisch, Michelle Squire, Catherine A. Abbott, Emma Parkinson-Lawrence, Douglas A. Brooks, Ross N. Butler
Scientific Reports.2019;[Epub] CrossRef - Characterization of changes in HbA1c in patients with and without secondary failure after metformin treatments by a population pharmacodynamic analysis using mixture models
Yoko Tamaki, Kunio Maema, Makoto Kakara, Masato Fukae, Ryoko Kinoshita, Yushi Kashihara, Shota Muraki, Takeshi Hirota, Ichiro Ieiri
Drug Metabolism and Pharmacokinetics.2018; 33(6): 264. CrossRef - Effects of 6-Month Sitagliptin Treatment on Insulin and Glucagon Responses in Korean Patients with Type 2 Diabetes Mellitus
Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Hun-Sung Kim, Kun-Ho Yoon, Bong-Yun Cha, Jae-Hyoung Cho
Diabetes & Metabolism Journal.2015; 39(4): 335. CrossRef - Clinical Characteristics and Metabolic Predictors of Rapid Responders to Dipeptidyl Peptidase-4 Inhibitor as an Add-on Therapy to Sulfonylurea and Metformin
Ye An Kim, Won Sang Yoo, Eun Shil Hong, Eu Jeong Ku, Kyeong Seon Park, Soo Lim, Young Min Cho, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi
Diabetes & Metabolism Journal.2015; 39(6): 489. CrossRef - Letter: Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2015;39:342-7)
Ye An Kim
Diabetes & Metabolism Journal.2015; 39(5): 444. CrossRef - Optimal Candidates for the Switch from Glimepiride to Sitagliptin to Reduce Hypoglycemia in Patients with Type 2 Diabetes Mellitus
Hyun Min Kim, Jung Soo Lim, Byung-Wan Lee, Eun-Seok Kang, Hyun Chul Lee, Bong-Soo Cha
Endocrinology and Metabolism.2015; 30(1): 84. CrossRef - One-year real-life efficacy of sitagliptin revealed importance of concomitant pioglitazone use in Japanese patients with type 2 diabetes mellitus
Ayako Suzuki, Nakayuki Yoshimura, Yamato Mashimo, Maiko Numakura, Yuko Fujimaki, Tomomi Maeda, Toshio Ishikawa, Shin Fujimori, Kazuhiro Eto
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2013; 7(3): 143. CrossRef - Clinical Characteristics of the Responders to Dipeptidyl Peptidase-4 Inhibitors in Korean Subjects with Type 2 Diabetes
Tae Jung Oh, Hye Seung Jung, Jae Hyun Bae, Yeong Gi Kim, Kyeong Seon Park, Young Min Cho, Kyong Soo Park, Seong Yeon Kim
Journal of Korean Medical Science.2013; 28(6): 881. CrossRef - Factors predicting therapeutic efficacy of combination treatment with sitagliptin and metformin in type 2 diabetic patients: the COSMETIC study
Soo Lim, Jee Hyun An, Hayley Shin, Ah Reum Khang, Yenna Lee, Hwa Young Ahn, Ji Won Yoon, Seon Mee Kang, Sung Hee Choi, Young Min Cho, Kyong Soo Park, Hak Chul Jang
Clinical Endocrinology.2012; 77(2): 215. CrossRef
- The Association of Unintentional Changes in Weight, Body Composition, and Homeostasis Model Assessment Index with Glycemic Progression in Non-Diabetic Healthy Subjects
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Eun-Jung Rhee, Ji-Hun Choi, Seung-Hyun Yoo, Ji-Cheol Bae, Won-Jun Kim, Eun-Suk Choi, Se Eun Park, Cheol-Young Park, Seok Won Park, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim, Won-Young Lee
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Diabetes Metab J. 2011;35(2):138-148. Published online April 30, 2011
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DOI: https://doi.org/10.4093/dmj.2011.35.2.138
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- Background
We performed a retrospective longitudinal study on the effects of changes in weight, body composition, and homeostasis model assessment (HOMA) indices on glycemic progression in subjects without diabetes during a four-year follow-up period in a community cohort without intentional intervention.
MethodsFrom 28,440 non-diabetic subjects who participated in a medical check-up program in 2004, data on anthropometric and metabolic parameters were obtained after four years in 2008. Body composition analyses were performed with a bioelectrical impedance analyzer. Skeletal muscle index (SMI, %) was calculated with lean mass/weight×100. Subjects were divided into three groups according to weight change status in four years: weight loss (≤-5.0%), stable weight (-5.0 to 5.0%), weight gain (≥5.0%). Progressors were defined as the subjects who progressed to impaired fasting glucose or diabetes.
ResultsProgressors showed worse baseline metabolic profiles compared with non-progressors. In logistic regression analyses, the increase in changes of HOMA-insulin resistance (HOMA-IR) in four years presented higher odds ratios for glycemic progression compared with other changes during that period. Among the components of body composition, a change in waist-hip ratio was the strongest predictor, and SMI change in four years was a significant negative predictor for glycemic progression. Changes in HOMA β-cell function in four years was a negative predictor for glycemic progression.
ConclusionIncreased interval changes in HOMA-IR, weight gain and waist-hip ratio was associated with glycemic progression during a four-year period without intentional intervention in non-diabetic Korean subjects.
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Ji Woo Lee, Hyung Jin Kim, Young Se Kwon, Yong Hoon Jun, Soon Ki Kim, Jong Weon Choi, Ji Eun Lee
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Soo Lim, Kyoung Min Kim, Min Joo Kim, Se Joon Woo, Sung Hee Choi, Kyong Soo Park, Hak Chul Jang, James B. Meigs, Deborah J. Wexler, Noel Christopher Barengo
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C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
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Hye Mi Kang, Dong-Jun Kim
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You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee
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Clinical Endocrinology.2012; 77(5): 679. CrossRef
- The Cutoff Value of HbA1c in Predicting Diabetes in Korean Adults in a University Hospital in Seoul.
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Ji Cheol Bae, Eun Jung Rhee, Eun Suk Choi, Ji Hoon Kim, Won Jun Kim, Seung Hyun Yoo, Se Eun Park, Cheol Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
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Korean Diabetes J. 2009;33(6):503-510. Published online December 1, 2009
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DOI: https://doi.org/10.4093/kdj.2009.33.6.503
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Abstract
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- BACKGROUND
Glycated hemoglobin (HbA1c) levels represent a 2~3 month average of blood glucose concentration. The use of HbA1c as a diagnostic tool for diabetes is gaining interest. Therefore, we determined the cutoff point of HbA1c for predicting abnormal glucose tolerance status in non-diabetic Korean subjects. METHODS: We analyzed the data from 1,482 subjects without diabetes mellitus in whom a 75-g oral glucose tolerance test (OGTT) was performed due to suspected abnormal glucose tolerance. We obtained an HbA1c cutoff point for predicting diabetes using Receiver Operating Characteristic (ROC) curve analysis. RESULTS: A cut-off point of 5.95% HbA1c yielded sensitivity of 60.8% and specificity of 85.6%, respectively, for predicting diabetes. There was a difference in HbA1c cut-off value between men and women, 5.85% and 6.05%, respectively. CONCLUSION: To use the cut-off point of 5.95% HbA1c for predicting undiagnosed diabetes in Koreans may be reliable. However, studies of different ethnic groups have reported disparate HbA1c cut-off points. Thus, ethnicity, age, gender, and population prevalence of diabetes are important factors to consider in using elevated HbA1c value as a tool to diagnose diabetes.
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- The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef - Role of HbA1c in the Screening of Diabetes Mellitus in a Korean Rural Community
Jae Hyun Kim, Gun Woo Kim, Mi Young Lee, Jang Yel Shin, Young Goo Shin, Sang Baek Koh, Choon Hee Chung
Diabetes & Metabolism Journal.2012; 36(1): 37. CrossRef - Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea
Hong-Kyu Kim, Sung-Jin Bae, Jaeone Choe
Diabetes & Metabolism Journal.2012; 36(2): 151. CrossRef - The Utility of HbA1c as a Diagnostic Criterion of Diabetes
Hee-Jung Kim, Eun Young Choi, Eal Whan Park, Yoo Seock Cheong, Hong-Yoen Lee, Ji Hyun Kim
Korean Journal of Family Medicine.2011; 32(7): 383. CrossRef - 2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
Seung-Hyun Ko, Sung-Rea Kim, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hae Jin Kim, In-Kyung Jeong, Eun-Kyung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon
Diabetes & Metabolism Journal.2011; 35(5): 431. CrossRef - 2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
Seung-Hyun Ko, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hye Jin Kim, In-Kyung Jeong, Eun-Gyoung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon, Sung-Rea Kim
Journal of Korean Diabetes.2011; 12(4): 183. CrossRef
Randomized Controlled Trial
- Effects of Adding omega-3 Fatty Acids to Simvastatin on Lipids, Lipoprotein Size and Subspecies in Type 2 Diabetes Mellitus with Hypertriglyceridemia.
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Won Jun Kim, Chang Beom Lee, Cheol Young Park, Se Eun Park, Eun Jung Rhee, Won Young Lee, Ki Won Oh, Sung Woo Park, Dae Jung Kim, Hae Jin Kim, Seung Jin Han, Hong Keum Cho
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Korean Diabetes J. 2009;33(6):494-502. Published online December 1, 2009
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DOI: https://doi.org/10.4093/kdj.2009.33.6.494
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Abstract
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- BACKGROUND
omega-3 fatty acids are known to improve lipid profiles, the distribution of lipoprotein subclasses, and secondary prevention against post-myocardial infarction. Rare reports have emerged of synergistic results of omega-3 fatty acids with simvastatin in cases of type 2 diabetes mellitus with hypertriglyceridemia. The purpose of this study was to determine the combined relationship of omega-3 fatty acids plus simvastatin on lipid, lipoprotein size and the types of subspecies. METHODS: This randomized, multi-center, comparison study evaluated eight weeks of combination therapy (omega-3 fatty acids (Omacor) 4 g/day plus simvastatin 20 mg/day) or monotherapy (simvastatin 20 mg/day) for at least six weeks in 62 diabetic patients. Subjects with a triglyceride concentration of more than 200 mg/dL were eligible for inclusion. RESULTS: No significant differences for omega-3 fatty acids + simvastatin versus simvastatin alone were observed for triglycerides (-22.7% vs. -14.3%, P = 0.292), HDL peak particle size (+2.8% vs. -0.4%, P = 0.076), LDL mean particle size (+0.4% vs -0.1%, P = 0.376) or LDL subspecies types, although the combination therapy showed a tendency toward lower triglycerides, larger HDL, and LDL particle sizes than did the monotherapy. There were no significant differences between the two groups in regard to HDL-C, LDL-C, or HbA1c levels. There were no serious adverse events and no abnormalities in the laboratory values associated with this study. CONCLUSION: omega-3 fatty acids were a safeform of treatment in hypertriglyceridemic patients with type 2 diabetes mellitus. But, regarding efficacy, a much larger sample size and longer-term follow-up may be needed to distinguish between the effects of combination therapy and monotherapy.
Review
- Insulin Resistance and PPARgamma.
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Bong Soo Cha, Se Eun Park
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Korean Diabetes J. 2006;30(5):317-323. Published online September 1, 2006
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DOI: https://doi.org/10.4093/jkda.2006.30.5.317
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Original Articles
- Clinical Characteristics of Non-obese, Adult-onset Diabetes Requiring Insulin Treatment.
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Se Eun Park, Wan Sub Shim, Mi Young Do, Eun Seok Kang, Yumie Rhee, Chul Woo Ahn, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee, Bong Soo Cha
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Korean Diabetes J. 2005;29(6):557-565. Published online November 1, 2005
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Abstract
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- BACKGROUND
The aim of this study is to clarify the clinical characteristics of non-obese, adult-onset diabetes requiring insulin treatment and to compare the different characteristics of the three groups categorized according to diabetes classification. METHODS: Total 128 diabetic patients who were non-obese (BMI < 25kg/m2) and had been diagnosed with diabetes after 20 years old, requiring insulin treatment were enrolled in the study. We divided the patients into three groups : 56 patients with type 1, 37 with unclassifiable, and 35 with type 2 diabetes. The type of diabetes was assigned by comparing serum C-peptide concentration and clinical phenotypes. RESULTS: Type 2 and unclassifiable diabetes had no differences in BMI, the interval to use insulin, daily insulin dose, the level of HDL cholesterol and the positive rate for GAD Ab, but type 1 diabetes didn't. However, type 1 diabetes and unclassifiable group was lower prevalence of microvascular complications than type 2 diabetes (retinopathy 38.2, 52.8, 84.8 % ; nephropathy 37.7, 36.7, 74.2 % ; neuropathy 36.7, 36.7, 72.7 %, P<0.05). The prevalence of macrovascular complications was higher in the order of type 1, unclassifiable, and type 2 diabetes (11.1, 29.4, 72.7 %, respectively, all P<0.05). CONCLUSION: The clinical characteristics were similar between unclassifiable and type 2 diabetes, but the prevalence of microvascular complication in unclassifiable group had no significant difference compared with type 1 diabetes. The prevalence of macrovascular complications was significantly higher in the order of type 1, unclassifiable, and type 2 diabetes.
- Clinical Meaning of Postprandial Insulin Secretory Function in Korean Type 2 Diabetes Mellitus.
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Wan Sub Shim, Soo Kyung Kim, Hae Jin Kim, Se Eun Park, Eun Seok Kang, Yu Mie Rhee, Chul Woo Ahn, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee, Bong Soo Cha
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Korean Diabetes J. 2005;29(4):367-377. Published online July 1, 2005
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Abstract
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- BACKGROUND
Impaired pancreatic beta-cell responsiveness is associated with type 2 diabetes mellitus. Postprandial insulin deficiency is closely related with fasting plasma glucose, HbA1c and insulin responses to meals, but most studies examining postprandial beta-cell responsiveness have been limited by the small number of type 2 diabetic patients examined. The aim of this study was to evaluate fasting and postprandial insulin secretions in relation to the duration of diabetes, BMI and glycemic control in a large number of patients with variable disease durations. METHODS: We evaluated the fasting plasma glucose, insulin, C-peptide, HbA1c, BMI, postprandial 2 hour glucose, insulin and C-peptide in 1,170(male 662, female 508, age 54.6+/-1.6 years, duration of diabetes 5.2+/-6.3 years, BMI 25.4+/-3.3kg/m(2)) type 2 diabetic patients. The delta C-peptide, delta insulin, fasting(M0) and postprandial(M1) pancreatic beta-cell responsiveness were also calculated. The subjects were divided into three groups according to their duration of diabetes, BMI, and fasting and postprandial C-peptide levels. After adjusting for age, sex and BMI, the correlation of diabetes and HbA1c were correlated parameters. RESULTS: In the group of patients whose duration of diabetes was longer than 10 years, the BMI, fasting, postprandial and delta C-peptide, and M0 and M1 were significantly lower, but age, fasting and postprandial glucose, as well as HbA1c were significantly higher than those in the other groups. There were no significant differences in the fasting and postprandial glucose and HbA1c according to their fasting C-peptide tertiles. However, in the group of patients with the highest postprandial C-peptide tertile, the fasting and postprandial glucose and HbA1c were significantly lower than those in the other groups. The duration of diabetes, after adjustment of age, sex and BMI, was negatively correlated with the fasting, postprandial and delta C-peptide, M0 and M1, but was positively correlated with the fasting and postprandial 2 hour glucose and HbA1c. The HbA1c after adjustment of age, sex and BMI, was positively correlated with duration of diabetes, and fasting and postprandial glucose, but was negatively correlated with fasting postprandial and delta C-peptide, M0 and M1. CONCLUSION: Although the fasting and postprandial insulin secretions were decreased with duration of diabetes, the decrease in the postprandial insulin secretion was more prominent. The postprandial pancreatic responsiveness may be a more important factor in predicting glycemic control in Korean type 2 diabetic patients than the fasting pancreatic responsiveness.