Diabetes & Metabolism Journal

Ji Yoon Kim

9 Articles

Guideline/Statement/Fact Sheet
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 Metab J. 2025;49(2):172-182. Published online March 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0826

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Abstract PDF Supplementary Material PubReader ePub: 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.

Technology/Device
Effectiveness of Predicted Low-Glucose Suspend Pump Technology in the Prevention of Hypoglycemia in People with Type 1 Diabetes Mellitus: Real-World Data Using DIA:CONN G8: Jee Hee Yoo, Ji Yoon Kim, Jae Hyeon Kim; Diabetes Metab J. 2025;49(1):144-149. Published online August 28, 2024; DOI: https://doi.org/10.4093/dmj.2024.0039

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Abstract PDF Supplementary Material PubReader ePub: We evaluated the effectiveness of the predictive low-glucose suspend (PLGS) algorithm in the DIA:CONN G8. Forty people with type 1 diabetes mellitus (T1DM) who used a DIA:CONN G8 for at least 2 months with prior experience using pumps without and with PLGS were retrospectively analyzed. The objective was to assess the changes in time spent in hypoglycemia (percent of time below range [%TBR]) before and after using PLGS. The mean age, sensor glucose levels, glucose threshold for suspension, and suspension time were 31.1±22.8 years, 159.7±23.2 mg/dL, 81.1±9.1 mg/dL, and 111.9±79.8 min/day, respectively. Overnight %TBR <70 mg/dL was significantly reduced after using the algorithm (differences=0.3%, from 1.4%±1.5% to 1.1%±1.2%, P=0.045). The glycemia risk index (GRI) improved significantly by 4.2 (from 38.8±20.9 to 34.6±19.0, P=0.002). Using the PLGS did not result in a change in the hyperglycemia metric (all P>0.05). Our findings support the PLGS in DIA:CONN G8 as an effective algorithm to improve night-time hypoglycemia and GRI in people with T1DM.

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; Diabetes Metab J. 2025;49(1):24-33. Published online January 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0818

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Abstract PDF Supplementary Material PubReader ePub

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.

Citations

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Diabetes in Korean Adults: Prevalence, Management, and Comorbidities
Sung Hoon Yu
Diabetes & Metabolism Journal.2025; 49(1): 22. CrossRef
Effectiveness of adding glucagon-like peptide-1 receptor agonist on diabetes complications and mortality among basal insulin-treated people with type 2 diabetes: A real-world Korean study
Kyoung Hwa Ha, Won Kim, Dong Han Kim, Dae Jung Kim
Journal of Diabetes and its Complications.2025; 39(5): 108983. CrossRef
A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus
Kyung Ae Lee, Jong Seung Kim, Yu Ji Kim, In Sun Goak, Heung Yong Jin, Seungyong Park, Hyejin Kang, Tae Sun Park
Journal of Clinical Medicine.2025; 14(6): 2065. CrossRef
Glucagon-Like Peptide-1 Receptor Agonists: What’s the Optimizing Policies for Obesity-Related Metabolic Diseases?
Tae Sun Park
Diabetes & Metabolism Journal.2025; 49(2): 169. CrossRef
Older Adults with Diabetes in Korea: Latest Clinical and Epidemiologic Trends
Kyuho Kim, Bongseong Kim, Kyuna Lee, Yu-Bae Ahn, Seung-Hyun Ko, Sung Hee Choi, Kyungdo Han, Jae-Seung Yun
Diabetes & Metabolism Journal.2025; 49(2): 183. CrossRef
How Do We Diagnose Diabetes in Primary Care?
Hyeong Jin Kim
The Journal of Korean Diabetes.2025; 26(1): 10. CrossRef
Prevention and Management of Prediabetes
Jae Min Lee
The Journal of Korean Diabetes.2025; 26(1): 18. CrossRef

Pathophysiology
Recent Glycemia Is a Major Determinant of β-Cell Function in Type 2 Diabetes Mellitus: Ji Yoon Kim, Jiyoon Lee, Sin Gon Kim, Nam Hoon Kim; Diabetes Metab J. 2024;48(6):1135-1146. Published online June 17, 2024; DOI: https://doi.org/10.4093/dmj.2023.0359

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Abstract PDF Supplementary Material PubReader ePub

Background
Progressive deterioration of β-cell function is a characteristic of type 2 diabetes mellitus (T2DM). We aimed to investigate the relative contributions of clinical factors to β-cell function in T2DM.
Methods
In a T2DM cohort of 470 adults (disease duration 0 to 41 years), β-cell function was estimated using insulinogenic index (IGI), disposition index (DI), oral disposition index (DIO), and homeostasis model assessment of β-cell function (HOMA-B) derived from a 75 g oral glucose tolerance test (OGTT). The relative contributions of age, sex, disease duration, body mass index, glycosylated hemoglobin (HbA1c) levels (at the time of the OGTT), area under the curve of HbA1c over time (HbA1c AUC), coefficient of variation in HbA1c (HbA1c CV), and antidiabetic agents use were compared by standardized regression coefficients. Longitudinal analyses of these indices were also performed.
Results
IGI, DI, DI_O, and HOMA-B declined over time (P<0.001 for all). Notably, HbA1c was the most significant factor affecting IGI, DI, DIO, and HOMA-B in the multivariable regression analysis. Compared with HbA1c ≥9%, DI was 1.9-, 2.5-, 3.7-, and 5.5-fold higher in HbA1c of 8%–<9%, 7%–<8%, 6%–<7%, and <6%, respectively, after adjusting for confounding factors (P<0.001). Conversely, β-cell function was not affected by the type or duration of antidiabetic agents, HbA1c AUC, or HbA1c CV. The trajectories of the IGI, DI, DIO, and HOMA-B mirrored those of HbA1c.
Conclusion
β-Cell function declines over time; however, it is flexible, being largely affected by recent glycemia in T2DM.

Citations

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The Importance of Treating Hyperglycemia in β-Cell Dysfunction of Type 2 Diabetes Mellitus
Arim Choi, Kyung-Soo Kim
Diabetes & Metabolism Journal.2024; 48(6): 1056. CrossRef

Cardiovascular Risk/Epidemiology
Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus: Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim; Diabetes Metab J. 2023;47(6):837-845. Published online August 23, 2023; DOI: https://doi.org/10.4093/dmj.2022.0217

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Abstract PDF Supplementary Material PubReader ePub: Background
A substantial cardiovascular disease risk remains even after optimal statin therapy. Comparative predictiveness of major lipid and lipoprotein parameters for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) who are treated with statins is not well documented.
Methods
From the Korean Nationwide Cohort, 11,900 patients with T2DM (≥40 years of age) without a history of cardiovascular disease and receiving moderate- or high-intensity statins were included. The primary outcome was the first occurrence of major adverse cardiovascular events (MACE) including ischemic heart disease, ischemic stroke, and cardiovascular death. The risk of MACE was estimated according to on-statin levels of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), highdensity lipoprotein cholesterol (HDL-C), and non-HDL-C.
Results
MACE occurred in 712 patients during a median follow-up period of 37.9 months (interquartile range, 21.7 to 54.9). Among patients achieving LDL-C levels less than 100 mg/dL, the hazard ratios for MACE per 1-standard deviation change in ontreatment values were 1.25 (95% confidence interval [CI], 1.07 to 1.47) for LDL-C, 1.31 (95% CI, 1.09 to 1.57) for non-HDL-C, 1.05 (95% CI, 0.91 to 1.21) for TG, and 1.16 (95% CI, 0.98 to 1.37) for HDL-C, after adjusting for potential confounders and lipid parameters mutually. The predictive ability of on-statin LDL-C and non-HDL-C for MACE was prominent in patients at high cardiovascular risk or those with LDL-C ≥70 mg/dL.
Conclusion
On-statin LDL-C and non-HDL-C levels are better predictors of the first cardiovascular event than TG or HDL-C in patients with T2DM.

Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus: Ji Yoon Kim, Nam Hoon Kim; Diabetes Metab J. 2023;47(1):42-44. Published online January 26, 2023; DOI: https://doi.org/10.4093/dmj.2022.0454

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Citations

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Sensing Biomechanical Alterations in Red Blood Cells of Type 1 Diabetes Patients: Potential Markers for Microvascular Complications
Riccardo Di Santo, Benedetta Niccolini, Alessandro Rizzi, Laura Bertini, Denise Pires Marafon, Maria Vaccaro, Federica Cristallo, Enrico Rosa, Linda Tartaglione, Laura Leo, Marco De Spirito, Gabriele Ciasca, Dario Pitocco
Biosensors.2024; 14(12): 587. CrossRef

Metabolic Risk/Epidemiology
Associations between Weight-Adjusted Waist Index and Abdominal Fat and Muscle Mass: Multi-Ethnic Study of Atherosclerosis: Ji Yoon Kim, Jimi Choi, Chantal A. Vella, Michael H. Criqui, Matthew A. Allison, Nam Hoon Kim; Diabetes Metab J. 2022;46(5):747-755. Published online March 30, 2022; DOI: https://doi.org/10.4093/dmj.2021.0294

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Background
The weight-adjusted waist index (WWI) reflected body compositional changes with aging. This study was to investigate the association of WWI with abdominal fat and muscle mass in a diverse race/ethnic population.
Methods
Computed tomography (CT) data from 1,946 participants for abdominal fat and muscle areas from the Multi-Ethnic Study of Atherosclerosis (785 Whites, 252 Asians, 406 African American, and 503 Hispanics) were used. Among them, 595 participants underwent repeated CT. The WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). The associations of WWI with abdominal fat and muscle measures were examined, and longitudinal changes in abdominal composition measures were compared.
Results
In all race/ethnic groups, WWI was positively correlated with total abdominal fat area (TFA), subcutaneous fat area, and visceral fat area, but negatively correlated with total abdominal muscle area (TMA) and abdominal muscle radiodensity (P<0.001 for all). WWI showed a linear increase with aging regardless of race and there were no significant differences in the WWI distribution between Whites, Asians, and African Americans. In longitudinal analyses, over 38.6 months of follow-up, all abdominal fat measures increased but muscle measures decreased, along with increase in WWI. The more the WWI increased, the more the TFA increased and the more the TMA decreased.
Conclusion
WWI showed positive associations with abdominal fat mass and negative associations with abdominal muscle mass, which likely reflects the abdominal compositional changes with aging in a multi-ethnic population.

Citations

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Non-linear association between weight-adjusted-waist index and obstructive sleep apnea: a cross-sectional study from the NHANES (2005–2008 to 2015–2020)
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Dongdong Zheng, Suzhen Zhao, Dan Luo, Feng Lu, Zhishen Ruan, Xiaokang Dong, Wenjing Chen
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Association between Weight-Adjusted Waist Index and depressive symptoms: A nationally representative cross-sectional study from NHANES 2005 to 2018
Hangyu Liu, Jin Zhi, Chuzhao Zhang, Shiyi Huang, Yang Ma, Dandan Luo, Lungang Shi
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Relationship between cognitive function and weight-adjusted waist index in people ≥ 60 years old in NHANES 2011–2014
Xue-li Wang, Hong-lin Feng, Xiao-zhuo Xu, Jing Liu, Xu Han
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Association between weight-adjusted-waist index and periodontitis risk: A cross-sectional study
Xinyu Wu, Zahra Cheraghi
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Association between weight-adjusted waist index and non-alcoholic fatty liver disease: a population-based study
Changhui Yu, Shiming He, Maobin Kuang, Chao Wang, Xin Huang, Guotai Sheng, Yang Zou
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Association between weight-adjusted waist index and serum total testosterone in males aged 6–19 years in the United States: Data from NHANES 2013–2016
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Shidong Wang, Dai Li, Liping Sun
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XingJie Huang, Yuqing Huang, Hanli Zhou, Zehan Huang
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Shuang Zu, Meiling Yang, Xiude Li, Hanhan Wu, Xunliang Li, Yunshan Fan, Deguang Wang, Bao Zhang
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Weight-adjusted-waist index is positively associated with urinary incontinence: results from the National Health and Nutrition Examination Survey (NHANES) 2001–2018
Shangqi Cao, Xu Hu, Yaxiong Tang, Kang Wu, Weixiao Yang, Xiang Li
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The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes
Zaixiao Tao, Pengfei Zuo, Genshan Ma
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The association between weight-adjusted-waist index and muscle strength in adults: a population-based study
Lihan Xu, Haojing Zhou
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Weight-adjusted waist index is a potential early predictor of degraded bone microarchitecture: A cross-sectional study of the national health and nutrition examination survey 2007-2008
Baoguo Mi, Jitao Zhang, Kuo Jiang, Hailan Meng, Lequn Shan, Dingjun Hao
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Jinhua Luo, Hailian Deng, Yueying Wu, Tuming Zhang, Yuying Cai, Yu Yang
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The association between Weight-adjusted-Waist Index (WWI) and cognitive function in older adults: a cross-sectional NHANES 2011–2014 study
Xichenhui Qiu, Jiahao Kuang, Yiqing Huang, Changning Wei, Xujuan Zheng
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Association between weight-adjusted waist index and risk of diabetes mellitus type 2 in United States adults and the predictive value of obesity indicators
XinMeng Li, Dan Zhao, Hongkun Wang
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Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine
Qi Sun, Yang Yang, Jing Liu, Fang Ye, Qin Hui, Yuanmei Chen, Die Liu, Qi Zhang
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Yizi Jiang, Min Jia
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Association of weight-adjusted waist index with cardiovascular disease and mortality among metabolic syndrome population
Zaixiao Tao, Pengfei Zuo, Genshan Ma
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Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study
Weiwei Zeng
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The association of weight-adjusted waist index with the risk of osteoporosis in patients with type 2 diabetes: a cross-sectional study
Runzhou Pan, Yukun Li
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Relationship between weight‐adjusted‐waist index and all‐cause and cardiovascular mortality in individuals with type 2 diabetes
Tian‐Yu Zhang, Zi‐Meng Zhang, Xue‐Ning Wang, Hong‐Yu Kuang, Qian Xu, Hong‐Xue Li, Cheng‐Ye Xu, Kang‐Qi Zhao, Cong Zhang, Ming Hao
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Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study
Jiabei Wu, Jinli Guo, Fredirick Lazaro Mashili
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Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity
Daniel de Luis Román, David Primo, Olatz Izaola Jáuregui, Daniel Rico Bigues, Juan José López Gómez
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Technology/Device
Comparison of Real-Time and Intermittently-Scanned Continuous Glucose Monitoring for Glycemic Control in Type 1 Diabetes Mellitus: Nationwide Cohort Study: Ji Yoon Kim, Seohyun Kim, Jae Hyeon Kim; Received March 28, 2024 Accepted October 30, 2024 Published online February 27, 2025; DOI: https://doi.org/10.4093/dmj.2024.0160 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
This study compares the association between real-time continuous glucose monitoring (rtCGM) and intermittently- scanned CGM (isCGM) and glycemic control in individuals with type 1 diabetes mellitus (T1DM) in a real-world setting.
Methods
Using data from the Korean National Health Insurance Service Cohort, individuals with T1DM managed by intensive insulin therapy were followed at 3-month intervals for 2 years after the initiation of CGM. The glycosylated hemoglobin (HbA1c) levels and coefficients of variation (CVs) of rtCGM and isCGM users were compared using independent two-sample t-test and a linear mixed model.
Results
The analyses considered 7,786 individuals (5,875 adults aged ≥19 years and 1,911 children and adolescents aged <19 years). Overall, a significant reduction in HbA1c level was observed after 3 months of CGM, and the effect was sustained for 2 years. The mean HbA1c level at baseline was higher in rtCGM users than in isCGM users (8.9%±2.7% vs. 8.6%±2.2%, P<0.001). However, from 3 to 24 months, rtCGM users had lower HbA1c levels than isCGM users at every time point (7.1%±1.2% vs. 7.5%±1.3% at 24 months, P<0.001 for all time points). In both adults and children, the greater reduction in HbA1c with rtCGM remained significant after adjusting for the baseline characteristics of the users. The CV also showed greater decrease with rtCGM than with isCGM.
Conclusion
In this large nationwide cohort study, the use of rtCGM was associated with a greater improvement in glycemic control, including HbA1c reduction, than the use of isCGM in both adults and children with T1DM.

Technology/Device
Current Status of Continuous Glucose Monitoring Use in South Korean Type 1 Diabetes Mellitus Population–Pronounced Age-Related Disparities: Nationwide Cohort Study: Ji Yoon Kim, Seohyun Kim, Jae Hyeon Kim; Received December 9, 2024 Accepted February 3, 2025 Published online April 28, 2025; DOI: https://doi.org/10.4093/dmj.2024.0804 [Epub ahead of print]

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Abstract PDF: Background
This study aims to identify the status of continuous glucose monitoring (CGM) use among individuals with type 1 diabetes mellitus (T1DM) in South Korea and to investigate whether age-related disparities exist.
Methods
Individuals with T1DM receiving intensive insulin therapy were identified from the Korean National Health Insurance Cohort (2019–2022). Characteristics of CGM users and non-users were compared, and the prescription rates of CGM and sensor- augmented pump (SAP) or automated insulin delivery (AID) systems according to age groups (<19, 19–39, 40–59, and ≥60 years) were analyzed using chi-square tests. Glycosylated hemoglobin (HbA1c) levels and coefficients of variation (CV) among CGM users were also examined.
Results
Among the 56,908 individuals with T1DM, 10,822 (19.0%) used CGM at least once, and 6,073 (10.7%) used CGM continuously. Only 241 (0.4%) individuals utilized either SAP or AID systems. CGM users were younger than non-users. The continuous prescription rate of CGM was highest among individuals aged <19 years (37.0%), followed by those aged 19–39 years (15.8%), 40–59 years (10.7%), and ≥60 years (3.9%) (P<0.001 for between-group differences). Among CGM users, HbA1c levels decreased from 8.7%±2.4% at baseline to 7.2%±1.2% at 24 months, and CV decreased from 36.6%±11.9% at 3 months to 34.1%±12.7% at 24 months.
Conclusion
Despite national reimbursement for CGM devices, the prescription rates of CGM remain low, particularly among older adults. Given the improvements in HbA1c and CV following CGM initiation, more efforts are needed to increase CGM utilization and reduce age-related disparities.

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