Diabetes & Metabolism Journal

Original Articles

Guideline/Statement/Fact Sheet
2025 Clinical Practice Guidelines for Diabetes Management in Korea: Recommendation of the Korean Diabetes Association: Shinae Kang, Seon Mee Kang, Jong Han Choi, Seung-Hyun Ko, Bo Kyung Koo, Hyuk-Sang Kwon, Mi Kyung Kim, Sang Yong Kim, Soo-Kyung Kim, Young-eun Kim, Eun Sook Kim, Jae Hyeon Kim, Chong Hwa Kim, Ji Min Kim, Hae Jin Kim, Min Kyong Moon, Sun Joon Moon, Jun Sung Moon, Joon Ho Moon, Se Hee Min, Jung Hwan Park, Jaehyun Bae, Keeho Song, Ji Yoon Ahn, Jae-Seung Yun, Woo Je Lee, You-Bin Lee, Suk Chon, Eonju Jeon, Sang-Man Jin, Eugene Han, You-Cheol Hwang, Jae Hyun Bae, YoonJu Song, Jeong Hyun Lim, Jae Won Cho, Ji Yeon Choi, Yong Hee Hong, Jieun Lee, Sung Eun Kim, Ji Yun Noh, Bong-Soo Cha, Byung-Wan Lee; Diabetes Metab J. 2025;49(4):582-783. Published online July 1, 2025; DOI: https://doi.org/10.4093/dmj.2025.0469

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Metabolic Risk/Epidemiology
Metabolic Dysfunction-Associated Steatotic Liver Disease and All-Cause and Cause-Specific Mortality: Rosa Oh, Seohyun Kim, So Hyun Cho, Jiyoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim; Diabetes Metab J. 2025;49(1):80-91. Published online August 28, 2024; DOI: https://doi.org/10.4093/dmj.2024.0042

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Background
Given the association between nonalcoholic fatty liver disease and metabolic risks, a new term, metabolic dysfunction- associated steatotic liver disease (MASLD) has been proposed. We aimed to explore the association between MASLD and all-cause, cause-specific mortalities.
Methods
We included individuals with steatotic liver disease (SLD) from the Korean National Health Insurance Service. Moreover, SLD was defined as a fatty liver index ≥30. Furthermore, MASLD, metabolic alcohol-associated liver disease (MetALD), and alcoholic liver disease (ALD) with metabolic dysfunction (MD) were categorized based on alcohol consumption and MD. We also analyzed all-cause, liver-, cancer-, hepatocellular carcinoma (HCC)- and cardiovascular (CV)-related mortalities.
Results
This retrospective nationwide cohort study included 1,298,993 individuals aged 40 to 79 years for a mean follow-up duration of 9.04 years. The prevalence of MASLD, MetALD, and ALD with MD was 33.11%, 3.93%, and 1.00%, respectively. Relative to the “no SLD” group, multivariable analysis identified that MASLD (adjusted hazard ratio [aHR], 1.28; 95% confidence interval [CI], 1.26 to 1.31), MetALD (aHR, 1.38; 95% CI, 1.32 to 1.44), and ALD with MD group (aHR, 1.80; 95% CI, 1.68 to 1.93) have a significantly higher risk of all-cause mortality. Furthermore, MASLD, MetALD, ALD with MD groups showed higher liver-, cancer-, and HCC-related mortality than “no SLD” group. While all-cause specific mortalities increase from MASLD to MetALD to ALD with MD, the MetALD group shows a lower risk of CV-related mortality compared to MASLD. However, ALD with MD group still have a higher risk of CV-related mortality compared to MASLD.
Conclusion
SLD is associated with an increased risk of all-cause, liver-, cancer-, HCC-, and CV-related mortalities.

Citations

Citations to this article as recorded by

KASL clinical practice guidelines for the management of metabolic dysfunction-associated steatotic liver disease 2025
Won Sohn, Young-Sun Lee, Soon Sun Kim, Jung Hee Kim, Young-Joo Jin, Gi-Ae Kim, Pil Soo Sung, Jeong-Ju Yoo, Young Chang, Eun Joo Lee, Hye Won Lee, Miyoung Choi, Su Jong Yu, Young Kul Jung, Byoung Kuk Jang
Clinical and Molecular Hepatology.2025; 31(Suppl): S1. CrossRef
Diagnosis and Management of Early Stages of ALD
Jordi Gratacós-Ginès, Edilmar Alvarado-Tapias, David Martí-Aguado, Hugo López-Pelayo, Ramón Bataller, Elisa Pose
Seminars in Liver Disease.2025; 45(02): 195. CrossRef
Refining Risk Estimates of Colorectal Cancer in Steatotic Liver Disease: Insights on Methodological Challenges
Wei-Chun Cheng, Ching-Nung Wu, Pin-Nan Cheng
Clinical Gastroenterology and Hepatology.2025;[Epub] CrossRef
Synergistic benefit of thiazolidinedione and sodium-glucose cotransporter 2 inhibitor for metabolic dysfunction-associated steatotic liver disease in type 2 diabetes: a 24-week, open-label, randomized controlled trial
Minyoung Lee, Sukchul Hong, Yongin Cho, Hyungjin Rhee, Min Heui Yu, Jaehyun Bae, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha
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Reply
Takefumi Kimura, Nobuharu Tamaki, Masayuki Kurosaki
Clinical Gastroenterology and Hepatology.2025;[Epub] CrossRef
Pan-immune-inflammation value and mortality in the US adult MASLD: a nonlinear NHANES analysis
Qing Zhou, Jisu Xue, Lu Hao
BMC Gastroenterology.2025;[Epub] CrossRef
MASLD and CMRFs: Combination or Separation? An Open Exploration From the Perspective of All‐Cause Mortality
Zheng Li, Ting Luo, Dan Zheng, Zhiping Li, Dan Cao, Yue Hu
Liver International.2025;[Epub] CrossRef
High-Sensitivity C-Reactive Protein Levels in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), Metabolic Alcohol-Associated Liver Disease (MetALD), and Alcoholic Liver Disease (ALD) with Metabolic Dysfunction
Seong-Uk Baek, Jin-Ha Yoon
Biomolecules.2024; 14(11): 1468. CrossRef

Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association: Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang 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, Jaehyun Bae, Eonju Jeon, Ji Min Kim, Seon Mee Kang, Jung Hwan Park, Jae-Seung Yun, Bong-Soo Cha, Min Kyong Moon, Byung-Wan Lee; Diabetes Metab J. 2024;48(4):546-708. Published online July 26, 2024; DOI: https://doi.org/10.4093/dmj.2024.0249

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Citations

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Junghyun Noh
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Yura Jang, Youngran Yang
Applied Nursing Research.2025; 82: 151917. CrossRef
Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010–2020)
Ji Yoon Kim, Jiyoon Lee, Joon Ho Moon, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Nam Hoon Kim
Diabetes & Metabolism Journal.2025; 49(2): 172. CrossRef
Workplace‐based continuous glucose monitoring with structured education for pre‐diabetes and type 2 diabetes: A prospective community cohort study
Ji‐Hee Ko, Sun‐Joon Moon, Ramzi A. Ajjan, Mi Yeon Lee, Hae‐Jeong Lee, Boram Choi, JiYeon Park, Seung‐Eun Lee, Jae‐Hyeon Kang, Cheol‐Young Park
Diabetes, Obesity and Metabolism.2025; 27(6): 2996. CrossRef
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Soo Yong Lee, Il Young Kim, Sung-Ho Ahn, Su Jin Kim, Hyun-Min Lee, Ji Eun Lee, Gyeong-Jo Byeon, Hyun-Chang Ko, Hyun Jung Lee, Songhwa Choi, Chong Kun Cheon
Journal of Clinical Medicine.2025; 14(13): 4400. CrossRef
The Effect of Frailty on Body Composition and Its Impact on the Use of SGLT-2 Inhibitors and GLP-1RA in Older Persons with Diabetes
Alan Sinclair, Izel Siqueira, Ahmed Abdelhafiz
Metabolites.2025; 15(6): 381. CrossRef
Feasibility of a Structured Calorie-Restricted Dietary Intervention in Korean Adults with Early Type 2 Diabetes and Obesity: A Pilot Study
Su-Jeong Park, Mee Kyung Kim, Jinyoung Kim, Ji-Yeon Choi, YoonJu Song, Hyuk-Sang Kwon
Nutrients.2025; 17(9): 1530. CrossRef
Cardiorenal outcomes and safety of SGLT2 inhibitors in patients with diabetes secondary to disorders of the exocrine pancreas: a nationwide population-based study
Kyoung Hwa Ha, Minae Park, Yujin Lee, Dae Jung Kim, Seung Jin Han
Diabetes & Metabolism.2025; 51(5): 101668. CrossRef
How Do We Diagnose Diabetes in Primary Care?
Hyeong Jin Kim
The Journal of Korean Diabetes.2025; 26(1): 10. CrossRef
Associations of time in tight range, time in range, and glycated hemoglobin with albuminuria in type 1 diabetes: A cross-sectional study
Ji Yoon Kim, Seohyun Kim, Sang Ho Park, Jin A Lee, So Hyun Cho, Rosa Oh, Myunghwa Jang, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Sang-Man Jin
Diabetes Research and Clinical Practice.2025; 226: 112325. CrossRef
Diabetes medication management recommendations for older adults: A systematic review of the Western Pacific region
Darshna Goordeen, J Simon Bell, Youmna Elsedfy, Soroush Fariman, Shota Hamada, Yukari Hattori, Kate Wang, Majd Abu Al Shieh, Michael Nunan, Joshua D Niznik, Emily Reeve
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Medical Nutrition Therapy as a Hospital-Based Lifestyle Modification in the Korean Diabetes Prevention Study
Ji Hye Choi, Jung-Hwa Lee, Suk Chon
The Journal of Korean Diabetes.2025; 26(1): 39. CrossRef
Impact of physical activities in metabolic dysfunction associated steatotic liver disease, sarcopenia, and cardiovascular disease
Eugene Han, Sin Yung Woo, Justin Y. Jeon, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee, Yong-ho Lee
Diabetes Research and Clinical Practice.2025; 224: 112209. CrossRef
Optimal Management of Diabetic Kidney Disease
Jae-Han Jeon
The Journal of Korean Diabetes.2025; 26(1): 1. CrossRef
Clinical Characteristics and Epidemiology of Cardiovascular Autonomic Neuropathy in Peoples With Long-Standing Diabetes
Sook Jung Lee, Chong Hwa Kim, Su Jin Jeong, Jae-Seung Yun, Jong Chul Won, Jae Hyuk Lee, Ie Byung Park, Chang Won Lee, Hyuk-Sang Kwon, Tae Sun Park
Journal of Korean Medical Science.2025;[Epub] CrossRef
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Ji-Hyun Kim, Seung-Hwan Lee, Kyu Na Lee, Kyungdo Han, Mee Kyoung Kim
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Shuqi Wang, Benjamin H.K. Yip, Paul K.M. Poon, Billy C.F. Chiu, Samuel Y.S. Wong, Juliana C.N. Chan, Eric K.P. Lee
Diabetes Research and Clinical Practice.2025; : 112344. CrossRef
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So Yoon Kwon, Jun Sung Moon
Endocrinology and Metabolism.2025; 40(2): 161. CrossRef
Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
BMC Public Health.2024;[Epub] CrossRef
당뇨병 치료의 진화: 관해를 향해가는 혁신적 약물치료와 첨단 관리기기의 결합
종한 최, 민경 문
Public Health Weekly Report.2024; 17(44): 1905. CrossRef
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Ga Hyun Lee, Yeon Hee Kim, Sang Myung Woo, Woo Jin Lee, Sung-Sik Han, Sang-Jae Park, Sherry Price, Penias Tembo, James R. Hébert, Mi Kyung Kim
Nutrients.2024; 16(22): 3941. CrossRef
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Yunjung Cho, Eun Sook Kim
The Journal of Korean Diabetes.2024; 25(4): 224. CrossRef
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Eastern Ukrainian Medical Journal.2024; 12(4): 808. CrossRef

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

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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.

Citations

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The impact of blood pressure and its variability on suicide mortality: a nationwide population-based study
Jeongmin Lee, Jeongeun Kwak, Jin-Hyung Jung, Dong Woo Kang, Mee Kyoung Kim, Dong-Jun Lim, Hyuk-Sang Kwon, Jung Min Lee, Sang-Ah Chang, Kyungdo Han, Seung-Hwan Lee
Hypertension Research.2025;[Epub] CrossRef

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

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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.

Citations

Citations to this article as recorded by

Type 2 diabetes mellitus modifies and mediates the association between the visceral adiposity index and depression: A cross-sectional study using NHANES 2005–2018 data
Yujun Zhang, Jingjing Song, Benjie Li, Xinmeng Lv, Jiahao Liu, Wei Si, Xin Huang, Jiazhen Tang, Xiaorong Yang, Fang Liu
Journal of Affective Disorders.2025; 368: 749. CrossRef
The impact of blood pressure and its variability on suicide mortality: a nationwide population-based study
Jeongmin Lee, Jeongeun Kwak, Jin-Hyung Jung, Dong Woo Kang, Mee Kyoung Kim, Dong-Jun Lim, Hyuk-Sang Kwon, Jung Min Lee, Sang-Ah Chang, Kyungdo Han, Seung-Hwan Lee
Hypertension Research.2025;[Epub] CrossRef
Socioeconomic gradients and inequalities in all-cause mortality and cardiovascular diseases: A retrospective cohort study using Korean NHANES-mortality linkage data
Chaiho Jeong, Kyu-Na Lee, Jin-Hyung Jung, Tae-Seo Sohn, Hyuk-Sang Kwon, Kyungdo Han, Seung-Hwan Lee
Public Health.2025; 244: 105767. CrossRef

Review

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

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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.

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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

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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.

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Social determinants of health and type 2 diabetes in Asia
Kyunghun Sung, Seung‐Hwan Lee
Journal of Diabetes Investigation.2025; 16(6): 971. CrossRef
Socioeconomic gradients and inequalities in all-cause mortality and cardiovascular diseases: A retrospective cohort study using Korean NHANES-mortality linkage data
Chaiho Jeong, Kyu-Na Lee, Jin-Hyung Jung, Tae-Seo Sohn, Hyuk-Sang Kwon, Kyungdo Han, Seung-Hwan Lee
Public Health.2025; 244: 105767. CrossRef
Time to Insulin Therapy and Severe Hypoglycemia in Korean Adults Initially Diagnosed with Type 2 Diabetes: A Nationwide Study
You-Bin Lee, Kyungdo Han, Bongsung Kim, So Hee Park, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim, Sang-Man Jin
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Income-Related Disparities in Mortality Among Young Adults With Type 2 Diabetes
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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

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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.

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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; 26(6): 394. 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
Disparities in Diabetes Technology Uptake in Youth and Young Adults With Type 1 Diabetes: A Global Perspective
Rebecca Baqiyyah Conway, Janet Snell-Bergeon, Kyoko Honda-Kohmo, Anil Kumar Peddi, Salbiah Binti Isa, Shakira Sulong, Laurien Sibomana, Andrea Gerard Gonzalez, Jooyoun Song, Kate Elizabeth Lomax, Ching-Nien Lo, Wondong Kim, Aveni Haynes, Martin de Bock, M
Journal of the Endocrine Society.2024;[Epub] CrossRef
Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
Jun Sung Moon
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Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
Jee Hee Yoo, Jae Hyeon Kim
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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

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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.

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Da Hye Lee, Hwa Young Kim, Ji Young Park, Jaehyun Kim, Jae Hyeon Park
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Improved Glycemic Control in Insulin-Treated Individuals With Poorly Controlled Type 2 Diabetes Through Combined Structured Education With Real-Time Continuous Glucose Monitoring
Jee Hee Yoo, Ji Eun Jun, Soo Heon Kwak, Jae Hyeon Kim
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Ndivhuwo R. Tshiluka, Dakalo T. Mbedzi, Mpelegeng V. Bvumbi, Simon S. Mnyakeni‐Moleele
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Heterogeneity of continuous glucose monitoring features and their clinical associations in a type 2 diabetes population
Elizabeth Healey, Carlos Morato, Jaime Murillo, Isaac Kohane
Diabetes, Obesity and Metabolism.2025; 27(7): 3957. 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 B. Andrade, Boyang Chen, Jae Hyeon Kim
Diabetes Technology & Therapeutics.2024; 26(6): 394. CrossRef
Continuous glucose monitoring for glycaemic control and cardiovascular risk reduction in patients with type 2 diabetes not on insulin therapy: A clinical trial
Joseph Reed, Tony Dong, Elke Eaton, Janice Friswold, Jodie Porges, Sadeer G. Al‐Kindi, Sanjay Rajagopalan, Ian J. Neeland
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Medicine.2024; 103(21): e38236. CrossRef
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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

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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.

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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
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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

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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.

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Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang
European Journal of Preventive Cardiology.2024; 31(10): 1205. CrossRef
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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

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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.

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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

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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.

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젊은 2형 당뇨병 환자의 관리
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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

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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

Associations of four obesity indices with diabetes mellitus in Korean middle-aged and older adults using the Korean Genome and Epidemiology Study (KoGES)
Yiseul Lee, Nam-Kyoo Lim, Hyun-Young Park
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Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
敏张
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Associations of the fat-free mass index and the fat mass index with the risk of developing diabetes and prediabetes in US adults: a nationally representative cross-sectional study
Da Liu, You-Lan Lei, Li Zhang, Wenyao Wang, Chunli Shao, Qing Zhou, Haiping Liu, Jun Wen, Jingjia Wang, Chen Li, Yiming Luo, Jingxin Rao, Yukun Shi, Gang Liu, Jie Yang, Mingqi Zheng, Yi-Da Tang
Lipids in Health and Disease.2024;[Epub] 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
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Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
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Şükran Nazan Koşar, Yasemin Güzel, Mehmet Gören Köse, Ayşe Kin İşler, Tahir Hazır
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Hye Jin Yoo
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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

8,026 View
106 Download
13 Web of Science
12 Crossref

Abstract PDF PubReader ePub

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

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