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Lee EH, Lee KH, Lee KN, Park Y, Han KD, Han SH. Connection between Impaired Fasting Glucose or Type 2 Diabetes Mellitus and Sepsis: A 10-Year Observational Data from the National Health Screening Cohort. Diabetes Metab J 2025; 49:485-497. [PMID: 39957312 PMCID: PMC12086549 DOI: 10.4093/dmj.2024.0387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 10/23/2024] [Indexed: 02/18/2025] Open
Abstract
BACKGRUOUND The mortality of sepsis without direct drugs is high. The association between prediabetes, based on a single fasting glucose (FG), or long-term type 2 diabetes mellitus (T2DM) and sepsis remains unclear. METHODS Of the adults aged ≥20 years who were included in the National Health Screening Program (NHSP) in 2009, 40% were randomly sampled. After excluding patients with type 1 diabetes mellitus, with missing information, and who were diagnosed with sepsis during the wash-out (between 2001 and the NHSP) or 1-year lag period, a cohort comprised of 3,863,323 examinees. Body mass index (BMI) measurements, FG tests, and self-reported questionnaires on health-related behaviors were conducted. Individual information was followed up until 2020 and censored upon the first occurrence of sepsis or death. The incidence of sepsis was compared using a multivariable regression adjusted for age, sex, income, BMI, smoking, drinking, physical activity levels, and chronic diseases. RESULTS The cohort was divided into those with normal FG (n=2,675,476), impaired fasting glucose (IFG) (n=890,402, 23.0%), T2DM <5 years (n=212,391, 5.5%), or T2DM for ≥5 years (n=85,054, 2.2%). The groups with IFG (adjusted hazard ratio [aHR], 1.03; 95% confidence interval [CI], 1.01 to 1.05), T2DM <5 years (aHR, 1.43; 95% CI, 1.40 to 1.47), and T2DM for ≥5 years (aHR, 1.82; 95% CI, 1.77 to 1.87) exhibited significantly higher incidence of sepsis (P<0.001), with the greatest risk in patients with T2DM aged <40 years (aHR, 1.96; 95% CI, 1.71 to 2.25). CONCLUSION Patients with long-standing and young-onset T2DM show a substantially high risk of sepsis, emphasizing the need for infection prevention and vaccination.
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Affiliation(s)
- Eun Hwa Lee
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Kyoung Hwa Lee
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Kyu-na Lee
- Department of Preventive Medicine and Public Health, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yebin Park
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Kyung Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Sang Hoon Han
- Division of Infectious Disease, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, Korea
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Jang Y, Yang Y. Effects of e-health literacy on health-related quality of life in young adults with type 2 diabetes: Parallel mediation of diabetes self-efficacy and self-care behaviors. Appl Nurs Res 2025; 82:151917. [PMID: 40086937 DOI: 10.1016/j.apnr.2025.151917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 01/11/2025] [Accepted: 01/28/2025] [Indexed: 03/16/2025]
Abstract
AIM To explore the impact of e-health literacy (e-HL) on health-related quality of life (HRQOL) in young adults with type 2 diabetes (T2D), focusing on the mediating roles of diabetes self-efficacy and self-care behaviors. BACKGROUND If glucose levels are not kept within the target range, people with T2D may experience complications such as retinopathy, kidney disease, and cardiovascular disorders. METHODS The participants were 150 young adults, aged 18 to 39, with T2D. We assessed e-HL, diabetes self-care behaviors, diabetes self-efficacy, and HRQOL through a structured online survey. Data were analyzed using IBM SPSS Statistics, incorporating Pearson's correlation and PROCESS macro mediation analysis. RESULTS E-HL, diabetes self-efficacy, and diabetes self-care behavior together accounted for 40.6 % of the variance in HRQOL. Higher e-HL was significantly correlated with improved HRQOL. A significant mediating effect of diabetes self-efficacy in the relationship between e-HL and HRQOL was observed, with an effect size of 0.300 ([95 % confidence interval = 0.055, 0.577]). However, the mediating effect of diabetes self-care behavior in the relationship between e-HL and HRQOL through diabetes self-efficacy was small and not statistically significant. CONCLUSIONS This study underscores the critical role of e-HL in enhancing HRQOL among young adults with T2D. It highlights the need for targeted digital health education, especially in subgroups with lower educational levels or poor health habits. The findings advocate for tailored interventions to boost self-efficacy and self-care behaviors, thereby improving overall quality of life in this population.
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Affiliation(s)
- Yura Jang
- Doctoral Student, Graduate School of Nursing, Jeonbuk National University, Jeonju, Republic of Korea
| | - Youngran Yang
- College of Nursing, Research Institute of Nursing Science, Jeonbuk National University; Biomedical Research Institute, Jeonbuk National University Hospital, Jeonju, Republic of Korea.
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Lee KA, Kim JS, Kim YJ, Goak IS, Jin HY, Park S, Kang H, Park TS. A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus. J Clin Med 2025; 14:2065. [PMID: 40142873 PMCID: PMC11942948 DOI: 10.3390/jcm14062065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2025] [Revised: 03/07/2025] [Accepted: 03/13/2025] [Indexed: 03/28/2025] Open
Abstract
Background/Objectives: Diabetic kidney disease (DKD) is a major cause of end-stage kidney disease and a leading contributor to morbidity and mortality in patients with type 2 diabetes mellitus (T2DM). However, predictive models for DKD onset in Korean patients with T2DM remain underexplored. This study aimed to develop and validate a machine learning (ML)-based DKD prediction model for this population. Methods: This retrospective study utilized electronic health records from six secondary or tertiary hospitals in Korea. The Jeonbuk National University Hospital cohort was used for model development (ratio training: test data, 8:2), whereas datasets from five other hospitals supported external validation. We employed multiple ML algorithms, including lasso, ridge, and elastic net regression; random forest; XGBoost; support vector machines; and neural networks. The model incorporated demographic variables, comorbidities, medications, and laboratory test results. Results: Among 5120 patients with T2DM, 1361 (26.6%) developed DKD. In the development cohort, XGBoost achieved the highest predictive performance (AUC: 0.8099), followed by random forest and logistic regression models (AUCs: 0.7977-0.8019). External validation confirmed the model's robustness with high AUCs (XGBoost: 0.8113, logistic regression models: 0.8228-0.8271). Key predictive factors included age; baseline estimated glomerular filtration rate; and creatinine, hemoglobin, and hemoglobin A1c levels. Conclusions: Our findings highlight the potential of ML-based approaches in predicting DKD in patients with T2DM. The superior performance of XGBoost and logistic regression models underscores their clinical utility. External validation supports the model's generalizability. This model is a valuable tool for the early DKD risk assessment of Korean patients with T2DM.
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Affiliation(s)
- Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea; (K.A.L.)
| | - Jong Seung Kim
- Department of Otorhinolaryngology-Head and Neck Surgery, Department of Medical Informatics, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea;
| | - Yu Ji Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea; (K.A.L.)
| | - In Sun Goak
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea; (K.A.L.)
| | - Heung Yong Jin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea; (K.A.L.)
| | - Seungyong Park
- Department of Data Science, Evidnet, Seoul 06258, Republic of Korea (H.K.)
| | - Hyejin Kang
- Department of Data Science, Evidnet, Seoul 06258, Republic of Korea (H.K.)
| | - Tae Sun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea; (K.A.L.)
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Kim JY, Lee J, Moon JH, Park SE, Ko SH, Choi SH, Kim NH. Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010-2020). Diabetes Metab J 2025; 49:172-182. [PMID: 40073905 PMCID: PMC11960202 DOI: 10.4093/dmj.2024.0826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2024] [Accepted: 02/12/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGRUOUND 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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Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jiyoon Lee
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Se Eun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Nam Hoon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
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Park SE, Ko SH, Kim JY, Kim K, Moon JH, Kim NH, Han KD, Choi SH, Cha BS. Diabetes Fact Sheets in Korea 2024. Diabetes Metab J 2025; 49:24-33. [PMID: 39828976 PMCID: PMC11788544 DOI: 10.4093/dmj.2024.0818] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 12/24/2024] [Indexed: 01/22/2025] Open
Abstract
BACKGRUOUND 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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Affiliation(s)
- Se Eun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyuho Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Joon Ho Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Kyung Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Sung Hee Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Bong Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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Kim JY, Park S, Park M, Kim NH, Kim SG. Income-Related Disparities in Mortality Among Young Adults With Type 2 Diabetes. JAMA Netw Open 2024; 7:e2443918. [PMID: 39531234 PMCID: PMC11558478 DOI: 10.1001/jamanetworkopen.2024.43918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 08/30/2024] [Indexed: 11/16/2024] Open
Abstract
Importance Previous studies have indicated an inverse association between income and mortality. However, differences in health outcomes according to the income level of young adults with type 2 diabetes (T2D) compared with older adults with T2D have not been elucidated. Objective To estimate the overall and cause-specific mortality risks among patients with T2D according to income and age. Design, Setting, and Participants This retrospective nationwide cohort study in South Korea included adults aged 20 to 79 years who were diagnosed with T2D between January 1, 2008, and December 31, 2013, and followed up until December 31, 2019, and age- and sex-matched controls without diabetes. Data were analyzed between January 1, 2023, and August 27, 2024. Main Outcomes and Measures Risks of all-cause, cardiovascular, and cancer mortality were estimated according to participants' income, which was categorized into 3 levels (low, middle, and high) based on the health insurance premium. Logistic regression analyses and Cox proportional hazard regression analyses were performed according to age groups (20-39, 40-59, and 60-79 years). Results A total of 1 240 780 adults (604 975 patients with T2D and 635 805 age- and sex-matched controls without diabetes) were included in the analyses. Their mean (SD) age was 56.9 (11.8) years, and 626 176 (50.5%) were men. Overall, the risk of mortality increased with lower income among patients with T2D, as well as in comparison with controls without diabetes. There was an inverse association between income and mortality risk in younger individuals (adjusted hazard ratios of all-cause mortality in the low income vs high income subgroups with T2D were 2.88 [95% CI, 2.25-3.69] in those aged 20 to 39 years, 1.90 [95% CI, 1.81-2.00] in those aged 40 to 59 years, and 1.26 [95% CI, 1.23-1.29] in those aged 60 to 79 years; P < .001 for comparing risk ratios between age groups). The pattern of income-related disparities in younger individuals was observed in cardiovascular mortality but less in cancer mortality. Conclusions and Relevance In this cohort study of 1 240 780 individuals aged 20 to 79 years, the risk of mortality with low income was most prominent among individuals with T2D aged 20 to 39 years. These findings highlight the need for socioeconomic support to reduce income-related health disparities in younger individuals.
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Affiliation(s)
- Ji Yoon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sojeong Park
- Department of Data Science, Hanmi Pharmaceutical Co Ltd, Seoul, Republic of Korea
| | - Minae Park
- Department of Data Science, Hanmi Pharmaceutical Co Ltd, Seoul, Republic of Korea
| | - Nam Hoon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sin Gon Kim
- Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
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Ha KH, Kim DJ. Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures. Endocrinol Metab (Seoul) 2024; 39:669-677. [PMID: 39322188 PMCID: PMC11525706 DOI: 10.3803/enm.2024.2073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 07/25/2024] [Accepted: 08/16/2024] [Indexed: 09/27/2024] Open
Abstract
Diabetes is a serious public health concern that significantly contributes to the global burden of disease. In Korea, the prevalence of diabetes is 12.5% among individuals aged 19 and older, and 14.8% among individuals aged 30 and older as of 2022. The total number of people with diabetes among those aged 19 and older is estimated to be 5.4 million. The incidence of diabetes decreased from 8.1 per 1,000 persons in 2006 to 6.3 per 1,000 persons in 2014, before rising again to 7.5 per 1,000 persons in 2019. Meanwhile, the incidence of type 1 diabetes increased significantly, from 1.1 per 100,000 persons in 1995 to 4.8 per 100,000 persons in 2016, with the prevalence reaching 41.0 per 100,000 persons in 2017. Additionally, the prevalence of gestational diabetes saw a substantial rise from 4.1% in 2007 to 22.3% in 2023. These changes have resulted in increases in the total medical costs for diabetes, covering both outpatient and inpatient services. Therefore, effective diabetes prevention strategies are urgently needed.
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Affiliation(s)
- Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
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Jang W, Kim S, Son Y, Kim S, Kim HJ, Jo H, Park J, Lee K, Lee H, Tully MA, Rahmati M, Smith L, Kang J, Woo S, Kim S, Hwang J, Rhee SY, Yon DK. Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e59571. [PMID: 39190907 PMCID: PMC11387923 DOI: 10.2196/59571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/07/2024] [Accepted: 06/20/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Type 2 diabetes poses an increasing disease burden in South Korea. The development and management of type 2 diabetes are closely related to lifestyle and socioeconomic factors, which have undergone substantial changes over the past few decades, including during the COVID-19 pandemic. OBJECTIVE This study aimed to investigate long-term trends in type 2 diabetes prevalence, awareness, treatment, and control. It also aimed to determine whether there were substantial alterations in the trends during the pandemic and whether these changes were more pronounced within specific demographic groups. METHODS This study examined the prevalence, awareness, treatment, and control of type 2 diabetes in a representative sample of 139,786 South Koreans aged >30 years, using data from the National Health and Nutrition Examination Survey and covering the period from 1998 to 2022. Weighted linear regression and binary logistic regression were performed to calculate weighted β coefficients or odds ratios. Stratified analyses were performed based on sex, age, region of residence, obesity status, educational background, household income, and smoking status. β (difference) was calculated to analyze the trend difference between the prepandemic period and the COVID-19 pandemic. To identify groups more susceptible to type 2 diabetes, we estimated interaction terms for each factor and calculated weighted odds ratios. RESULTS From 1998 to 2022, a consistent increase in the prevalence of type 2 diabetes was observed among South Koreans, with a notable rise to 15.61% (95% CI 14.83-16.38) during the pandemic. Awareness followed a U-shaped curve, bottoming out at 64.37% (95% CI 61.79-66.96) from 2013 to 2015 before increasing to 72.56% (95% CI 70.39-74.72) during the pandemic. Treatment also increased over time, peaking at 68.33% (95% CI 65.95-70.71) during the pandemic. Control among participants with diabetes showed no substantial change, maintaining a rate of 29.14% (95% CI 26.82-31.47) from 2020 to 2022, while control among treated participants improved to 30.68% (95% CI 27.88-33.48). During the pandemic, there was a steepening of the curves for awareness and treatment. However, while the slope of control among participants being treated increased, the slope of control among participants with diabetes showed no substantial change during the pandemic. Older populations and individuals with lower educational level exhibited less improvement in awareness and control trends than younger populations and more educated individuals. People with lower income experienced a deceleration in prevalence during the pandemic. CONCLUSIONS Over the recent decade, there has been an increase in type 2 diabetes prevalence, awareness, treatment, and control. During the pandemic, a steeper increase in awareness, treatment, and control among participants being treated was observed. However, there were heterogeneous changes across different population groups, underscoring the need for targeted interventions to address disparities and improve diabetes management for susceptible populations.
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Affiliation(s)
- Wonwoo Jang
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Seokjun Kim
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Hyesu Jo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Kyeongmin Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, United Kingdom
| | - Masoud Rahmati
- CEReSS-Health Service Research and Quality of Life Center, Aix-Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Jiyoung Hwang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Sang Youl Rhee
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Department of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea
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Park SE, Jang S, So WY, Kim J. Epidemiological Association of Current Smoking Status with Hypertension and Obesity among Adults Including the Elderly in Korea: Multivariate Analysis of a Nationwide Cross-Sectional Study Excluding Grades 2-3 Hypertension Cases. J Cardiovasc Dev Dis 2024; 11:212. [PMID: 39057632 PMCID: PMC11278024 DOI: 10.3390/jcdd11070212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024] Open
Abstract
Smoking is a major global health issue that contributes to various chronic diseases, while hypertension and obesity are considered significant health concerns due to their associated complications, such as cardiovascular diseases and metabolic disorders. In this study, we investigated the associations between current smoking status, hypertension, and obesity among the Korean population, excluding individuals with high blood pressure (systolic blood pressure ≥ 160 mmHg or diastolic blood pressure ≥ 100 mmHg) and those taking antihypertensive medications. Data from the 2015 Korea National Fitness Assessment, encompassing 3457 individuals, were analyzed. Logistic regression analysis was used to examine the effects of current smoking and other variables on hypertension and obesity. The results showed that, among the population that excludes specific hypertension criteria, current smoking status was not significantly associated with hypertension or obesity. However, sex and body mass index were significantly associated with hypertension, and age, sex, and blood pressure were significantly associated with obesity. Future research should utilize larger sample sizes and longitudinal designs to confirm these findings and include a broader range of hypertensive participants to better control for potential confounding variables.
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Affiliation(s)
- Sung-Eun Park
- Sport Medicine Major, Korea National Sport University, Seoul 05541, Republic of Korea;
| | - Seyong Jang
- Department of Taekwondo, College of Arts and Physical Education, Gachon University, Seongnam 13120, Republic of Korea;
| | - Wi-Young So
- Sport Medicine Major, College of Humanities and Arts, Korea National University of Transportation, Chungju-si 27469, Republic of Korea
| | - Junsu Kim
- Department of Sports and Outdoors, College of Bio Convergence, Eulji University, Seongnam 13135, Republic of Korea
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10
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Kim CN, Jung YS, Kim YE, Ock M, Yoon SJ. Korean National Burden of Disease: The Importance of Diabetes Management. Diabetes Metab J 2024; 48:518-530. [PMID: 39091003 PMCID: PMC11307107 DOI: 10.4093/dmj.2024.0087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 06/17/2024] [Indexed: 08/04/2024] Open
Abstract
Diagnosing the current health status and disease burden in a population is crucial for public health interventions. The ability to compare the burden of different diseases through a single measure, such as disability-adjusted life years has become feasible and continues to be produced and updated through the Global Burden of Diseases (GBD) study. However, the disease burden values of the GBD study do not accurately reflect the unique situation in a specific country with various circumstances. In response, the Korean National Burden of Disease (KNBD) study was conducted to estimate the disease burden in Koreans by considering Korea's cultural context and utilizing the available data sources at the national level. Both studies identified non-communicable diseases, such as diabetes mellitus (DM), as the primary cause of disease burden among Koreans. However, the extent of public health interventions currently being conducted by the central and local governments does not align with the severity of the disease burden. This review suggests that despite the high burden of DM in South Korea, the current policies may not fully address its impact, underscoring the need for expanded chronic disease management programs and a shift towards prevention-focused healthcare paradigms.
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Affiliation(s)
- Chung-Nyun Kim
- Department of Public Health, Graduate School of Korea University, Seoul, Korea
| | - Yoon-Sun Jung
- Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Young-Eun Kim
- Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea
| | - Minsu Ock
- Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
- Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea
| | - Seok-Jun Yoon
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
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11
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Chan JC, O CK, Luk AO. Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine. Endocrinol Metab (Seoul) 2024; 39:239-254. [PMID: 38626908 PMCID: PMC11066447 DOI: 10.3803/enm.2024.1968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 03/13/2024] [Accepted: 03/20/2024] [Indexed: 05/03/2024] Open
Abstract
Precision diagnosis is the keystone of clinical medicine. In East Asians, classical type 1 diabetes is uncommon in patients with youngonset diabetes diagnosed before age of 40, in whom a family history, obesity, and beta-cell and kidney dysfunction are key features. Young-onset diabetes affects one in five Asian adults with diabetes in clinic settings; however, it is often misclassified, resulting in delayed or non-targeted treatment. Complex aetiologies, long disease duration, aggressive clinical course, and a lack of evidence-based guidelines have contributed to variable care standards and premature death in these young patients. The high burden of comorbidities, notably mental illness, highlights the numerous knowledge gaps related to this silent killer. The majority of adult patients with youngonset diabetes are managed as part of a heterogeneous population of patients with various ages of diagnosis. A multidisciplinary care team led by physicians with special interest in young-onset diabetes will help improve the precision of diagnosis and address their physical, mental, and behavioral health. To this end, payors, planners, and providers need to align and re-design the practice environment to gather data systematically during routine practice to elucidate the multicausality of young-onset diabetes, treat to multiple targets, and improve outcomes in these vulnerable individuals.
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Affiliation(s)
- Juliana C.N. Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Chun-Kwan O
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
| | - Andrea O.Y. Luk
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong
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12
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Lee MK, Han K, Kim B, Kim JD, Jung Kim M, Kim B, Heo J, Ahn J, Sohn SY, Lee JH. Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults. Diabetes Res Clin Pract 2024; 208:111109. [PMID: 38262520 DOI: 10.1016/j.diabres.2024.111109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/14/2024] [Accepted: 01/18/2024] [Indexed: 01/25/2024]
Abstract
AIM This study aimed to examine whether cumulative exposure to hypertriglyceridemia is associated with an increased risk of developing type 2 diabetes in young adults. METHODS The study included 1,840,251 participants aged 20-39 years who had undergonefourconsecutiveannualhealth checkups and had no history of type 2 diabetes. Participants werecategorized into five groups (exposure score 0-4) based on the frequencies of hypertriglyceridemia diagnosis over a four-year period. The primary outcome was newly diagnosed type 2 diabetes. Exploratory analyses were performed for the different subgroups. RESULTS During a follow-up period of 6.53 years, 40,286 participants developed type 2 diabetes. The cumulative incidence of type 2 diabetes significantly increased with higher exposure scores for hypertriglyceridemia (log-rank test, P < 0.001). The multivariable-adjusted hazard ratios for incident diabetes were 1.674 (95 % CI, 1.619, 1.732), 2.192 (95 % CI, 2.117, 2.269), 2.637 (95 % CI, 2.548, 2.73), and 3.715 (95 % CI, 3.6, 3.834) for participants with scores of 1-4, respectively, compared with those with an exposure score of 0. CONCLUSIONS In this large-scale prospective cohort study of young adults, cumulative exposure to hypertriglyceridemia was significantly associated with an increased risk of type 2 diabetes, independent of lifestyle-related factors.
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Affiliation(s)
- Min-Kyung Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea.
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Bongsung Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jong-Dai Kim
- Division of Endocrinology, Department of Internal Medicine, Konayng University Hospital, Daejeon, Republic of Korea
| | - Moon Jung Kim
- Department of Laboratory Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Byungpyo Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Jung Heo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Jiyeon Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Seo-Young Sohn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Jae-Hyuk Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
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13
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Ha KH, Lee KA, Han KD, Moon MK, Kim DJ. Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes. Korean J Intern Med 2023; 38:93-100. [PMID: 36420563 PMCID: PMC9816690 DOI: 10.3904/kjim.2022.283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND/AIMS The Korean Diabetes Association (KDA) guidelines recommend adults aged ≥ 40 years and adults aged ≥ 30 years with diabetes risk factors for diabetes screening. This study aimed to determine the age threshold for diabetes screening in Korean adults. METHODS This study was based on the analyses of Korean adults aged ≥ 20 years using the Korea National Health and Nutrition Examination Survey (KNHANES) and the National Health Insurance Service-National Sample Cohort (NHIS-NSC). To evaluate screening effectiveness, we calculated the number needed to screen (NNS). RESULTS NNS to detect diabetes decreased from 63 to 34 in the KNHANES and from 71 to 42 in the NHIS-NSC between the ages of 30-34 and 35-39. When universal screening was applied to adults aged ≥ 35, the NNS was similar to that of adults aged ≥ 40. Compared to the KDA guidelines, the rate of missed screening positive in adults aged ≥ 20 decreased from 4.0% to 0.2% when the newly suggested screening criteria were applied. CONCLUSION Universal screening for adults aged ≥ 35 and selective screening for adults aged 20 to 34, considering diabetes risk factors, may be appropriate for detecting prediabetes and diabetes in South Korea.
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Affiliation(s)
- Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon,
Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju,
Korea
| | - Kyung-Do Han
- Statistics and Actuarial Science, Soongsil University, Seoul,
Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul,
Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon,
Korea
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14
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Lee KA, Kim DJ, Han K, Chon S, Moon MK. Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022. Diabetes Metab J 2022; 46:819-826. [PMID: 36455530 PMCID: PMC9723194 DOI: 10.4093/dmj.2022.0364] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/13/2022] [Indexed: 11/25/2022] Open
Abstract
Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.
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Affiliation(s)
- Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National UniversityBiomedical Research Institute of Jeonbuk National University Hosital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National UniversityBiomedical Research Institute of Jeonbuk National University Hosital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
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15
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Bae JH, Han KD, Ko SH, Yang YS, Choi JH, Choi KM, Kwon HS, Won KC. Diabetes Fact Sheet in Korea 2021. Diabetes Metab J 2022; 46:417-426. [PMID: 35656565 PMCID: PMC9171160 DOI: 10.4093/dmj.2022.0106] [Citation(s) in RCA: 150] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/26/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND This study aimed to investigate the prevalence and management of diabetes mellitus, risk-factor control, and comorbidities among Korean adults. METHODS We conducted a cross-sectional analysis of data from the Korea National Health and Nutrition Examination Survey to assess the prevalence, treatment, risk factors, comorbidities, and self-management behaviors of diabetes mellitus from 2019 to 2020. We also analyzed data from the Korean National Health Insurance Service to evaluate the use of antidiabetic medications in people with diabetes mellitus from 2002 through 2018. RESULTS Among Korean adults aged 30 years or older, the estimated prevalence of diabetes mellitus was 16.7% in 2020. From 2019 through 2020, 65.8% of adults with diabetes mellitus were aware of the disease and treated with antidiabetic medications. The percentage of adults with diabetes mellitus who achieved glycosylated hemoglobin (HbA1c) <6.5% was 24.5% despite the increased use of new antidiabetic medications. We found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7%. The percentage of self-management behaviors was lower in men than women. Excess energy intake was observed in 16.7% of adults with diabetes mellitus. CONCLUSION The prevalence of diabetes mellitus among Korean adults remained high. Only 9.7% of adults with diabetes mellitus achieved all glycemic, BP, and lipid controls from 2019 to 2020. Continuous evaluation of national diabetes statistics and a national effort to increase awareness of diabetes mellitus and improve comprehensive diabetes care are needed.
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Affiliation(s)
- Jae Hyun Bae
- Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Seung-Hyun Ko
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Jong Han Choi
- Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Mook Choi
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hyuk-Sang Kwon
- Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyu Chang Won
- Department of Internal Medicine, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Korea
| | - on Behalf of the Committee of Media-Public Relation of the Korean Diabetes Association
- Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
- Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
- Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Internal Medicine, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Korea
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