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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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Chen Z, Wu J, Ai K, Bu Z, Niu W, Li M. Trends in Children's Dietary Inflammatory Index and association with prediabetes in U.S. adolescents. Nutr Diabetes 2024; 14:94. [PMID: 39557855 PMCID: PMC11574316 DOI: 10.1038/s41387-024-00349-4] [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: 02/18/2024] [Revised: 10/23/2024] [Accepted: 10/30/2024] [Indexed: 11/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Prediabetes is a high-risk state for diabetes. We aimed to illustrate secular trends in the Children's Dietary Inflammation Index (C-DII) among U.S. adolescents and assess its association with prediabetes. METHODS Adolescents aged 12-18 years were collected from the National Health and Nutrition Examination Survey, 2001-2018. Prediabetes was defined based on Hemoglobin A1c, fasting glucose, and glucose tolerance levels. Risk was quantified by odds ratio (OR) and 95% confidence interval (CI). RESULTS A total of 13,684 adolescents were analyzed, representing a weighted total population of 33,351,181. C-DII scores declined significantly from 2001 to 2012 and increased from 2013 to 2018. The relationship between C-DII and prediabetes was roughly linear. When assigning the low C-DII scores as the reference, adolescents with medium and high C-DII scores were 1.22 (adjusted 95% CI: 1.04-1.44) and 1.25 (0.99-1.60) times more likely to have prediabetes. In subgroup analyses, the risk for prediabetes was significantly enhanced in boys (adjusted OR = 1.26 and 1.45 for medium and high C-DII scores, 95% CI: 1.05-1.51 and 1.09-1.92), and in adolescents living in poor families for medium (1.34 and 1.44, 1.08-1.67 and 1.07-1.95). CONCLUSIONS Our findings indicate a V-shaped secular trend in C-DII scores from 2001 to 2018 in U.S. adolescents, with the nadir in 2011-2012, and the risk for prediabetes was significantly increased by over 20% in adolescents possessing medium or high C-DII scores.
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Affiliation(s)
- Zisu Chen
- Department of Pediatrics, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Jing Wu
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
| | - Kepeng Ai
- Department of Gastroenterology, Yan'an University Affiliated Hospital, Shaanxi, China
| | - Zhuying Bu
- Department of Gastroenterology, Yan'an University Affiliated Hospital, Shaanxi, China
| | - Wenquan Niu
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
| | - Min Li
- Department of Pediatrics, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
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Liu J, Yi F, Duan K, Liu H. Triglyceride-glucose index is associated with the risk of impaired fasting glucose in Chinese elderly individuals. Sci Rep 2024; 14:16033. [PMID: 38992112 PMCID: PMC11239658 DOI: 10.1038/s41598-024-67081-y] [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: 05/13/2024] [Accepted: 07/08/2024] [Indexed: 07/13/2024] Open
Abstract
The association between the triglyceride-glucose (TyG) index and impaired fasting glucose (IFG) in elderly individuals remains uncertain. Our study aimed to explore the association between the TyG index and the risk of future IFG in this population. This retrospective cohort study included 17,746 elderly individuals over 60. In this population, Cox regression models proportional to hazards, along with smooth curve fitting and cubic spline functions, were employed to examine the association between the baseline TyG index and the risk of IFG. Subgroup analyses and sensitivity were also performed to ensure the robustness of the study findings. After adjusting for covariates, a positive association between the TyG index and the risk of IFG was found (HR = 1.43, 95% CI 1.27-1.60, P < 0.0001). The likelihood of IFG rose steadily as the TyG index quartiles (from Q1 to Q4) increased, with Q4 demonstrating a 62% elevated risk compared to Q1 (adjusted HR = 1.62, 95% CI 1.37-1.90). Additionally, we found the association between TyG index and risk of IFG was a linear. Sensitivity and subgroup analyses confirmed the stability of the results. Our study observed a linear association between the TyG index and the development of IFG in elderly Chinese individuals. Recognizing this association can help clinicians identify high-risk individuals and implement targeted interventions to reduce their risk of progressing to diabetes.
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Affiliation(s)
- Jie Liu
- Department of Emergency Medicine, Shenzhen New Frontier United Family Hospital, Shenzhen, 518000, China
| | - Feng Yi
- Department of Emergency Medicine, Yueyang Central Hospital, Yueyang, 414000, Hunan, China
| | - Kai Duan
- Department of Emergency Medicine, Yueyang Central Hospital, Yueyang, 414000, Hunan, China
| | - Haibo Liu
- Department of Emergency Medicine, Yueyang Central Hospital, Yueyang, 414000, Hunan, China.
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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 PMCID: PMC11307112 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, 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
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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Zhang D, Yang Y, Xu L, Zou H, Wu X, Yang L, Zhou B, Xu Q. Association between tri-ponderal mass index and glucose metabolism disorder in children with obesity in China: A case-control study. Medicine (Baltimore) 2024; 103:e37364. [PMID: 38457571 PMCID: PMC10919466 DOI: 10.1097/md.0000000000037364] [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: 09/26/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 03/10/2024] Open
Abstract
Obesity is a risk factor for glucose metabolism disorder. This study explored the association between the tri-ponderal mass index (TMI) and indicators of glucose metabolism disorder in children with obesity in China. This retrospective case-control study included children aged 3 to 18 years old diagnosed with obesity at Jiangxi Provincial Children's Hospital (China) between January 2020 and April 2022. Demographic and clinical characteristics were obtained from the medical records. Factors associated with glucose metabolism disorder were explored by logistic regression analysis. Pearson correlations were calculated to evaluate the relationships between TMI and indicators of glucose metabolism disorder. The analysis included 781 children. The prevalence of glucose metabolism disorder was 22.0% (172/781). The glucose metabolism disorder group had an older age (11.13 ± 2.19 vs 10.45 ± 2.33 years old, P = .001), comprised more females (76.8% vs 66.9%, P = .008), had a higher Tanner index (P = .001), and had a larger waist circumference (89.00 [82.00-95.00] vs 86.00 [79.00-93.75] cm, P = .025) than the non-glucose metabolism disorder group. There were no significant differences between the glucose metabolism disorder and non-glucose metabolism disorder groups in other clinical parameters, including body mass index (26.99 [24.71-30.58] vs 26.57 [24.55-29.41] kg/m2) and TMI (18.38 [17.11-19.88] vs 18.37 [17.11-19.88] kg/m3). Multivariable logistic regression did not identify any factors associated with glucose metabolism disorder. Furthermore, TMI was only very weakly or negligibly correlated with indicators related to glucose metabolism disorder. TMI may not be a useful indicator to screen for glucose metabolism disorder in children with obesity in China.
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Affiliation(s)
- Dongguang Zhang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Yu Yang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Lei Xu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Haiying Zou
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Xian Wu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Li Yang
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Bin Zhou
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
| | - Qingbo Xu
- Department of Endocrinology, Metabolism and Genetics, Jiangxi Provincial Children’s Hospital (The Affiliated Children’s Hospital of Nanchang Medical College), Jiangxi Provincial Children’s Genetic and Metabolic Disease Clinical Medicine Research Center, Nanchang, China
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Lee BW, Cho YM, Kim SG, Ko SH, Lim S, Dahaoui A, Jeong JS, Lim HJ, Yu JM. Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes. Diabetes Ther 2024; 15:547-563. [PMID: 38236431 PMCID: PMC10838861 DOI: 10.1007/s13300-023-01515-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/20/2023] [Indexed: 01/19/2024] Open
Abstract
INTRODUCTION Glucagon-like peptide-1 receptor agonists are well-established type 2 diabetes (T2D) treatments. As variations among populations and culture might influence treatment effects, this post hoc analysis evaluates the efficacy and safety of once-weekly (OW) semaglutide in a Korean population. METHODS Korean adults with T2D inadequately controlled on metformin included in a 30-week, phase 3a, international, multicentre trial (NCT03061214) compared OW subcutaneous semaglutide (0.5 mg and 1.0 mg) with once-daily sitagliptin (100 mg). Key endpoints included change in glycated haemoglobin (HbA1c) and body weight; additional endpoints assessed proportions of participants reaching targets of HbA1c < 7.0% and ≤ 6.5%, ≥ 5% weight loss, and a composite endpoint of HbA1c < 7.0% without severe/blood glucose-confirmed symptomatic hypoglycaemia and no weight gain. RESULTS Korean participants (n = 110) showed a greater reduction in HbA1c and body weight with semaglutide 0.5 mg (-1.6%, -2.7 kg) and 1.0 mg (-1.8%, -4.8 kg) versus sitagliptin (-0.9%, 0.5 kg). HbA1c targets of < 7.0% and ≤ 6.5% were achieved by more participants treated with semaglutide 0.5 mg (80.0% and 60.0%, respectively) and 1.0 mg (87.5% and 67.5%, respectively) versus sitagliptin (54.3% and 25.7%, respectively); ≥ 5% weight loss was observed in 42.9% and 65.0% of participants treated with semaglutide 0.5 mg and 1.0 mg versus 0.0% with sitagliptin. The composite endpoint was achieved by 71.4%, 77.5%, and 31.4% of the population in the semaglutide 0.5 mg, 1.0 mg, and sitagliptin group, respectively. No new safety concerns were observed. CONCLUSION This analysis confirms efficacy and safety of OW semaglutide (0.5 and 1.0 mg) in a Korean population with T2D. CLINICAL TRIAL REGISTRATION NUMBER NCT03061214.
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Affiliation(s)
- Byung-Wan Lee
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul, South Korea
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro Jongno-gu, Seoul, South Korea
| | - Sin Gon Kim
- Department of Endocrinology and Metabolism, Korea University College of Medicine, 73 Goryeo-daero, Seongbuk-gu, Seoul, South Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, St. Vincent's Hospital, The Catholic University of Korea, 93, Jungbu-daero, Paldal-gu, Suwon, South Korea
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Seongnam, South Korea
| | - Amine Dahaoui
- Novo Nordisk Pharma Gulf FZE, One Central, The Offices 2, Level 2, Dubai World Trade Centre, Dubai, United Arab Emirates
| | - Jin Sook Jeong
- Novo Nordisk Pharma Korea Limited, 16/F 137 Olympic-ro 35-gil, Songpa-gu, Seoul, South Korea
| | - Hyo Jin Lim
- Novo Nordisk Pharma Korea Limited, 16/F 137 Olympic-ro 35-gil, Songpa-gu, Seoul, South Korea
| | - Jae Myung Yu
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 1 Singil-ro, Yeongdeungpo-gu, Seoul, South Korea.
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Yang C, Li S, Wu L, Ding Z, Zhou H, Pan Y, Yang C, Lin J, Li Q, You Y, Zhong X, Chen Y, Zhao Y. Prevalence of prediabetes by the fasting plasma glucose and HbA1c screening criteria among the children and adolescents of Shenzhen, China. Front Endocrinol (Lausanne) 2024; 15:1301921. [PMID: 38313368 PMCID: PMC10836591 DOI: 10.3389/fendo.2024.1301921] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background Prediabetes is associated with an increased risk of cardiovascular diseases and all-cause mortality. Rare research in China has evaluated the prevalence of prediabetes among children and adolescents using the HbA1c criterion or the combined FPG-or-HbA1c diagnostic criterion, and researchers paid no attention to the distributions of blood glucose in Shenzhen, especially for juveniles. Methods We conducted a school-based cross-sectional study based on the first-year students from 17 primary, middle, and high schools. Prediabetes was defined as FPG of 5.6-6.9 mmol/L or HbA1c of 5.7%-6.4%. The crude and standardized prevalence of prediabetes with 95% confidence interval (95% CI) was estimated. Results A total of 7519 participants, aged 6 to 17 years, were included. For all subjects, the crude prevalence (95% CI) of prediabetes was 1.49% (1.21-1.77), 8.72% (8.08-9.36), and 9.80% (9.13-10.47) by the FPG-only, HbA1c-only, and FPG-or-HbA1c criteria, respectively. Based on the 2010 Shenzhen census population, the standardized prevalence was 1.56% (males 1.85%, females 1.19%), 11.05% (males 11.47%, females 10.53%), and 12.19% (males 13.01%, females 11.15%) by the corresponding criteria. The proportion of prediabetes was higher for males than females, and the prevalence decreased with grade for males but increased for females. The association of BMI and prediabetes was U-shaped curve, indicating higher rates of prediabetes for underweight and obesity people. Conclusion The blood glucose status of children and adolescents in Shenzhen is worrisome, and the early detection and management of prediabetes are imperative.
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Affiliation(s)
- Chen Yang
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
- Department of Endocrinology and Metabolism, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Shaohua Li
- Wards of Cadres, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Liangyan Wu
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zan Ding
- Department of Science and Education, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Hua Zhou
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Ying Pan
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Chufu Yang
- Department of Huangtian Outpatient, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Jinjun Lin
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Qiang Li
- Department of Endocrinology, Shenzhen University General Hospital, Shenzhen, Guangdong, China
| | - Yingbin You
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Xu Zhong
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yuyuan Chen
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yu Zhao
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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Bjornstad P, Chao LC, Cree-Green M, Dart AB, King M, Looker HC, Magliano DJ, Nadeau KJ, Pinhas-Hamiel O, Shah AS, van Raalte DH, Pavkov ME, Nelson RG. Youth-onset type 2 diabetes mellitus: an urgent challenge. Nat Rev Nephrol 2023; 19:168-184. [PMID: 36316388 PMCID: PMC10182876 DOI: 10.1038/s41581-022-00645-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) and its complications are increasing worldwide. Youth-onset T2DM has been reported in all racial and ethnic groups, but Indigenous peoples and people of colour are disproportionately affected. People with youth-onset T2DM often have a more aggressive clinical course than those with adult-onset T2DM or those with type 1 diabetes mellitus. Moreover, the available treatment options for children and adolescents with T2DM are more limited than for adult patients. Intermediate complications of youth-onset T2DM, such as increased albuminuria, often develop in late childhood or early adulthood, and end-stage complications, including kidney failure, develop in mid-life. The increasing frequency, earlier onset and greater severity of childhood obesity in the past 50 years together with increasingly sedentary lifestyles and an increasing frequency of intrauterine exposure to diabetes are important drivers of the epidemic of youth-onset T2DM. The particularly high risk of the disease in historically disadvantaged populations suggests an important contribution of social and environmental factors, including limited access to high-quality health care, healthy food choices and opportunities for physical activity as well as exposure to stressors including systemic racism and environmental pollutants. Understanding the mechanisms that underlie the development and aggressive clinical course of youth-onset T2DM is key to identifying successful prevention and management strategies.
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Affiliation(s)
| | - Lily C Chao
- Children's Hospital Los Angeles, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | | | - Allison B Dart
- Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, Canada
| | - Malcolm King
- University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada
| | - Helen C Looker
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Monash University, School of Public Health and Preventive Medicine, Melbourne, Australia
| | | | - Orit Pinhas-Hamiel
- Paediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Amy S Shah
- Cincinnati Children's Hospital and The University of Cincinnati, Cincinnati, OH, USA
| | | | - Meda E Pavkov
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert G Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA.
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Nabila S, Kim JE, Choi J, Park J, Shin A, Lee SA, Lee JK, Kang D, Choi JY. Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes. Diabetes Care 2023; 46:535-543. [PMID: 36625739 DOI: 10.2337/dc22-1042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 12/03/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE To examine the associations between modifiable risk factors and glycemic status changes in individuals with prediabetes. RESEARCH DESIGN AND METHODS A total of 10,358 individuals with prediabetes defined by their fasting blood glucose and HbA1c levels from the Health Examinees-Gem study were included in the present study. Modifiable factors, including BMI, abdominal obesity, smoking status, physical activity, alcohol consumption, diet quality, hypertension, and dyslipidemia, were examined to determine their associations with changes in glycemic status during follow-up. In addition, modifiable-factor scores were calculated, and their association with changes in glycemic status was also analyzed. RESULTS The median follow-up time for this study was 4 years (range, 1-7 years). BMI ≥25 kg/m2 (adjusted odds ratio [OR] 0.71 [95% CI 0.63-0.79]), abdominal obesity (OR 0.76 [95% CI 0.68-0.86]), heavy drinking (OR 0.74 [95% CI 0.60-0.91]), hypertension (OR 0.71 [95% CI 0.64-0.79]), and dyslipidemia (OR 0.78 [95% CI 0.70-0.85]) were associated with a lower possibility of normoglycemia reversion. BMI ≥25 kg/m2 (OR 1.58 [95% CI 1.29-1.94]), abdominal obesity (OR 1.31 [95% CI 1.11-1.55]), current smoking (OR 1.43 [95% CI 1.07-1.91]), and hypertension (OR 1.26 [95% CI 1.07-1.49]) were associated with a higher probability of type 2 diabetes progression. Having more favorable modifiable factors was also associated with normoglycemia reversion (OR 1.46 [95% CI 1.30-1.64]) and type 2 diabetes progression (OR 0.62 [95% CI 0.49-0.77]). CONCLUSIONS More favorable modifiable factors were related to a higher probability of returning to normoglycemia and a lower probability of progression to type 2 diabetes.
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Affiliation(s)
- Salma Nabila
- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
- 2BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Eun Kim
- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
- 2BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jaesung Choi
- 2BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
- 3Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - JooYong Park
- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
- 2BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
- 4Department of Big Data Medical Convergence, Eulji University, Seongnam-Si, Gyeonggi-Do, Republic of Korea
| | - Aesun Shin
- 5Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- 6Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Sang-Ah Lee
- 7Department of Preventive Medicine, Kangwon National University School of Medicine, Gangwon, Republic of Korea
| | - Jong-Koo Lee
- 8Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Daehee Kang
- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
- 5Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- 6Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
- 9Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Ji-Yeob Choi
- 1Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
- 2BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea
- 3Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Republic of Korea
- 6Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
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10
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Jeon E, Kim A, Lee J, Heo H, Lee H, Woo K. Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes: Using Natural Language Processing. Comput Inform Nurs 2023:00024665-990000000-00087. [PMID: 37165830 DOI: 10.1097/cin.0000000000001000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
This study developed and validated a rule-based classification algorithm for prediabetes risk detection using natural language processing from home care nursing notes. First, we developed prediabetes-related symptomatic terms in English and Korean. Second, we used natural language processing to preprocess the notes. Third, we created a rule-based classification algorithm with 31 484 notes, excluding 315 instances of missing data. The final algorithm was validated by measuring accuracy, precision, recall, and the F1 score against a gold standard testing set (400 notes). The developed terms comprised 11 categories and 1639 words in Korean and 1181 words in English. Using the rule-based classification algorithm, 42.2% of the notes comprised one or more prediabetic symptoms. The algorithm achieved high performance when applied to the gold standard testing set. We proposed a rule-based natural language processing algorithm to optimize the classification of the prediabetes risk group, depending on whether the home care nursing notes contain prediabetes-related symptomatic terms. Tokenization based on white space and the rule-based algorithm were brought into effect to detect the prediabetes symptomatic terms. Applying this algorithm to electronic health records systems will increase the possibility of preventing diabetes onset through early detection of risk groups and provision of tailored intervention.
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Affiliation(s)
- Eunjoo Jeon
- Author Affiliations: Technology Research, SamsungSDS (Dr Jeon); College of Nursing, Seoul National University (Mss Kim, J. Lee, and H. Lee and Dr Woo); and Seoul National University Hospital (Ms Heo), Seoul, South Korea
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11
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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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12
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Lee Y, Seo E, Lee W. Long Working Hours and the Risk of Glucose Intolerance: A Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11831. [PMID: 36142103 PMCID: PMC9517219 DOI: 10.3390/ijerph191811831] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/17/2022] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Abstract
Long working hours have negative effects on the health of workers. Several studies have reported the association between long working hours and both diabetes and prediabetes. Therefore, we aimed to examine the temporal relationship between long working hours and glucose intolerance. Our cohort study collected data from 25,803 healthy male participants at baseline. To evaluate the risk of incident glucose intolerance, we estimated the hazard ratios (HRs) and 95% confidence intervals (CIs) using the Cox proportional hazards regression analyses. During 77,605.0 person-years of follow-up, 6741 participants developed glucose intolerance. Multivariable-adjusted HRs (95% CI) for weekly working 41-52 and >52 h compared with working 35-40 h, were 1.28 (1.17-1.40) and 2.80 (2.54-3.09), respectively. In the dose-response analyses, long working hours had a nearly linear relationship with the development of glucose intolerance across most working hours per week. The association between long working hours and incident glucose intolerance was stronger in the younger-age subgroups than in the older-age subgroups (p for interaction <0.001). Our large-scale cohort study demonstrated that long working hours were associated with incident glucose intolerance, with a dose-response relationship.
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Prevalence Trends of Metabolic Syndrome among Korean Children and Adolescents from a Population-Based Cross-Sectional Survey. Life (Basel) 2022; 12:life12091404. [PMID: 36143440 PMCID: PMC9503497 DOI: 10.3390/life12091404] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/29/2022] [Accepted: 09/06/2022] [Indexed: 12/23/2022] Open
Abstract
The prevalence of metabolic syndrome (MetS) is increasing worldwide. This study aimed to investigate the prevalence trend of metabolic syndrome among Korean adolescents and to examine the effect of changes in dietary components on metabolic syndrome components. It has used the data of children and adolescents (8718 subjects aged 10−18) from the National Health and Nutrition Survey IV-VII (KNHANES 2007−2018) to estimate the recent prevalence of MetS and identify related nutritional factors. The definition of MetS used modified NCEP-ATP III and IDF criteria. The prevalence of MetS among Korean adolescents in 2007−2018 was 4.6% using the modified NCEP-ATP III criteria, and the trend of MetS increased significantly (p trend = 0.02). In the overweight and obese groups, the risk of MetS increased 7.08 (95% CI, 5.19−9.79) and 27.13 (95% CI, 20.90−35.24) compared to the normal-weight group. During KNHANES IV-VII, overall caloric intake increased, carbohydrate and sodium intake decreased, but fat intake increased (KNHANE-IV; 21.3% to VII; 24.0%, p < 0.001). These fat intakes were significantly correlated with an increase in systolic blood pressure, fasting blood glucose, and waist circumference. The prevalence of MetS is also increasing in Korean adolescents, and changes in dietary habits are related. In the future, it is also necessary to study the relationship of MetS to lifestyle.
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14
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Bang KS, Jang SY, Choe JH. Factors Affecting High-Risk for Diabetes among Korean Adolescents: An Analysis Using the Eighth Korea National Health and Nutrition Examination Survey (2020). CHILDREN 2022; 9:children9081249. [PMID: 36010139 PMCID: PMC9406423 DOI: 10.3390/children9081249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022]
Abstract
The purpose of this study was to identify significant factors affecting diabetes and pre-diabetes in South Korean adolescents, including adolescents’ and parental factors. We used data on 416 Korean adolescents aged 12–18 years and their parents (302 fathers and 375 mothers) from the eighth National Health and Nutrition Examination Survey gained in 2020. The data were analyzed by descriptive statistics, t-test, Rao–Scott χ2 test, and univariate logistic regression using complex sample analysis. Among the participants, 101 adolescents (22.7%) were classified as the high-risk group for diabetes. Significant factors affecting the risk for adolescent diabetes in both sexes were higher BMI, fasting plasma glucose, hemoglobin A1c, and insulin. The father’s high degree of stress perception was only related to male adolescents, and the father’s poor subjective health status was related to females at risk for diabetes. In mothers, physician-diagnosed diabetes, fasting plasma glucose, and hemoglobin A1c were factors affecting both sexes. Results from this study can be used as preliminary data for the early detection of high-risk groups for diabetes in adolescents, and for the development of systematic health care guidelines to prevent diabetes in adolescents.
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15
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Ahn MB, Kim SK, Kim SH, Cho WK, Suh JS, Cho KS, Suh BK, Jung MH. Clinical Significance of the Fetuin-A-to-Adiponectin Ratio in Obese Children and Adolescents with Diabetes Mellitus. CHILDREN 2021; 8:children8121155. [PMID: 34943350 PMCID: PMC8699833 DOI: 10.3390/children8121155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 11/24/2022]
Abstract
Fetuin-A and adiponectin are inflammatory cytokines associated with obesity and insulin resistance. This study aimed to examine the fetuin-A-to-adiponectin ratio (FAR) in diabetic children and to determine the role of FAR. A total of 54 children and adolescents with diabetes mellitus (DM) and 44 controls aged 9–16 years were included in this study. Clinical characteristics, including plasma fetuin-A and adiponectin levels, were compared with respect to body mass index (BMI) and diabetes type. Of 98 children, 54.1% were obese, whereas 18.4% were obese and diabetic. FAR was higher in obese children with DM than in non-obese children and also in type 2 DM children than in type 1. FAR showed a stronger association with BMI than with fetuin-A and adiponectin individually, and its association was more prominent in diabetic children than in controls. BMI was a risk factor for increased FAR. Plasma fetuin-A was elevated in obese children, and its association with insulin resistance and β cell function seemed more prominent in diabetic children after adjustment for adiponectin. Thus, FAR could be a useful surrogate for the early detection of childhood metabolic complications in diabetic children, particularly those who are obese.
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16
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Yang YS, Han K, Sohn TS, Kim NH. Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need. Korean J Intern Med 2021; 36:1049-1058. [PMID: 34503316 PMCID: PMC8435510 DOI: 10.3904/kjim.2021.379] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 08/26/2021] [Indexed: 12/27/2022] Open
Abstract
The prevalence of young-onset (diagnosis at age < 40 years) type 2 diabetes mellitus (T2DM) is increasing globally. Young-onset T2DM has a common pathophysiology of glucose dysregulation as in late-onset T2DM. However, it presents a greater association with obesity and a more rapid decline in β-cell function than late-onset T2DM. Accumulating evidence indicates that disease progression in young-onset T2DM is rapid, resulting in early and frequent development of microvascular and macrovascular complications, as well as premature death. Improper management and low adherence to medical therapy are important issues in young-onset T2DM. This review discusses the epidemiology, disease entity, and clinical issues associated with young-onset T2DM. We also present the prevalence and clinical characteristics of patients with young-onset T2DM in South Korea.
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Affiliation(s)
- Ye Seul Yang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Tae Seo Sohn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Correspondence to Nam Hoon Kim, M.D. Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Korea Tel: +82-2-920-5421 Fax: +82-2-953-9355 E-mail:
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Kim SY, Kim M, Oh Y, Lee DY. Relationship of Serum Total Insulin-Like Growth Factor Binding Protein-3 with Insulin-Like Growth Factor-I and Glucose Tolerance in Korean Children and Adolescents. Int J Endocrinol 2021; 2021:9966114. [PMID: 34239560 PMCID: PMC8241499 DOI: 10.1155/2021/9966114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/12/2021] [Indexed: 11/18/2022] Open
Abstract
Insulin is important in glucose metabolism. However, insulin-like growth factor binding protein (IGFBP) also plays an important role in glucose homeostasis, although the IGF-independent role of IGFBP-3 in the glucose intolerance state is poorly understood. We investigated the relationship of serum IGF-I with total IGFBP-3 levels and glucose tolerance in Korean children and adolescents who underwent the oral glucose tolerance test (OGTT). A total of 187 children without known diabetes underwent OGTT, and data related to their clinical and laboratory parameters were collected. Serum IGF-I and total IGFBP-3 levels, fasting plasma glucose levels, lipid profiles, insulin levels, C-peptide levels, homeostasis model assessment of insulin resistance (HOMA-IR) index, and glycated hemoglobin (HbA1c) levels were measured. Serum IGF-I and total IGFBP-3 levels were significantly higher in individuals with impaired glucose tolerance and type 2 diabetes (DM) than in those with normal glucose tolerance (NGT) (P < 0.05). Serum IGF-I and IGFBP-3 levels were correlated with age, HbA1c, C-peptide, insulin, and HOMA-IR in the NGT group. However, these relationships were altered in patients with glucose intolerance, especially in those with DM. In the DM group, serum IGF-I and total IGFBP-3 levels were positively correlated with fasting plasma glucose and HbA1c levels. In addition, total IGFBP-3 levels were positively correlated with total cholesterol and low-density lipoprotein cholesterol and IGF-I levels but not with age or body mass index. The IGF-I-IGFBP-3 axis, especially IGFBP-3, may be involved in the pathogenesis and metabolic control of glucose intolerance, specifically in diabetes patients. Moreover, IGFBP-3 might be a therapeutic marker.
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Affiliation(s)
- Sun-Young Kim
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea
| | - Minsun Kim
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Republic of Korea
- Department of Pediatrics, Jeonbuk National University Medical School, Jeonju 54907, Republic of Korea
| | - Youngman Oh
- Department of Pathology, School of Medicine Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Dae-Yeol Lee
- Department of Pediatrics, Jeonbuk National University Medical School, Jeonju 54907, Republic of Korea
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Ma CM, Yin FZ. The Relationship Between Prediabetes and Bone Mass in Adolescents: Analysis of the National Health and Nutrition Examination Survey From 2005 to 2010. Front Endocrinol (Lausanne) 2021; 12:749998. [PMID: 34754289 PMCID: PMC8572624 DOI: 10.3389/fendo.2021.749998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/04/2021] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE The purpose of this study was to observe the relationship between impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and bone mineral density (BMD) in different sites in adolescents. METHODS A retrospective study was conducted on adolescents age 12-19 years of the United States. Data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2005-2006, 2007-2008, and 2009-2010 cycles. IFG was defined as fasting plasma glucose (FPG) levels that were ≥5.6 and <7.0 mmol/L. IGT was defined as 2-h plasma glucose levels that were ≥7.8 and <11.1 mmol/L after the oral glucose tolerance test (OGTT). RESULTS After controlling for age, gender, race, and body mass index (BMI) Z-score, adolescents in different categories of IGT had significantly different levels of areal BMD (aBMD) and bone mineral apparent density (BMAD) (IGT main effect: P < 0.05 for all, two-way ANOVA). There was no main effect between different categories of IFG with regard to aBMD and BMAD (P > 0.05). There was no interaction between IFG and IGT with regard to aBMD and BMAD (P > 0.05). In multiple regression analysis, the 2-h plasma glucose maintained an independent association with femoral neck aBMD (β = -0.011, 95% CI: -0.017~-0.006, P < 0.001, R2 = 0.012), total femur aBMD (β = -0.015, 95% CI: -0.021~-0.009, P < 0.001, R2 = 0.018), total spine aBMD (β = -0.015, 95% CI: -0.020~-0.010, P < 0.001, R2 = 0.018), and total spine BMAD (β = -0.002, 95% CI: -0.003~0.000, P = 0.006, R2 = 0.003). CONCLUSION The present study demonstrates that BMD was decreased in adolescents with IGT. Two-hour plasma glucose, not FPG, negatively correlated with BMD. The effect of 2-h plasma glucose was consistent across the sites of bone.
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