- The Association of Unintentional Changes in Weight, Body Composition, and Homeostasis Model Assessment Index with Glycemic Progression in Non-Diabetic Healthy Subjects
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Eun-Jung Rhee, Ji-Hun Choi, Seung-Hyun Yoo, Ji-Cheol Bae, Won-Jun Kim, Eun-Suk Choi, Se Eun Park, Cheol-Young Park, Seok Won Park, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim, Won-Young Lee
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Diabetes Metab J. 2011;35(2):138-148. Published online April 30, 2011
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DOI: https://doi.org/10.4093/dmj.2011.35.2.138
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Abstract
PDFPubReader
- Background
We performed a retrospective longitudinal study on the effects of changes in weight, body composition, and homeostasis model assessment (HOMA) indices on glycemic progression in subjects without diabetes during a four-year follow-up period in a community cohort without intentional intervention. MethodsFrom 28,440 non-diabetic subjects who participated in a medical check-up program in 2004, data on anthropometric and metabolic parameters were obtained after four years in 2008. Body composition analyses were performed with a bioelectrical impedance analyzer. Skeletal muscle index (SMI, %) was calculated with lean mass/weight×100. Subjects were divided into three groups according to weight change status in four years: weight loss (≤-5.0%), stable weight (-5.0 to 5.0%), weight gain (≥5.0%). Progressors were defined as the subjects who progressed to impaired fasting glucose or diabetes. ResultsProgressors showed worse baseline metabolic profiles compared with non-progressors. In logistic regression analyses, the increase in changes of HOMA-insulin resistance (HOMA-IR) in four years presented higher odds ratios for glycemic progression compared with other changes during that period. Among the components of body composition, a change in waist-hip ratio was the strongest predictor, and SMI change in four years was a significant negative predictor for glycemic progression. Changes in HOMA β-cell function in four years was a negative predictor for glycemic progression. ConclusionIncreased interval changes in HOMA-IR, weight gain and waist-hip ratio was associated with glycemic progression during a four-year period without intentional intervention in non-diabetic Korean subjects.
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Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee Endocrinology and Metabolism.2021; 36(4): 845. CrossRef - Effects of nutritional supplementation on glucose metabolism and insulin function among people with HIV initiating ART
Hiwot Amare, Mette F. Olsen, Henrik Friis, Pernille Kæstel, Åse B. Andersen, Alemseged Abdissa, Daniel Yilma, Tsinuel Girma, Daniel Faurholt-Jepsen BMC Nutrition.2021;[Epub] CrossRef - The ratio of estimated average glucose to fasting plasma glucose level as an indicator of insulin resistance in young adult diabetes
Jun Guo, Sisi Lei, Yu Zhou, Congqing Pan Medicine.2020; 99(40): e22337. CrossRef - Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov Diseases.2020; 8(3): 25. CrossRef - Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim Hepatology Research.2018;[Epub] CrossRef - Use of Novel High-Protein Functional Food Products as Part of a Calorie-Restricted Diet to Reduce Insulin Resistance and Increase Lean Body Mass in Adults: A Randomized Controlled Trial
Carol Johnston, Barry Sears, Mary Perry, Jessica Knurick Nutrients.2017; 9(11): 1182. CrossRef - Gender differences in the association between food insecurity and insulin resistance among U.S. adults: National Health and Nutrition Examination Survey, 2005–2010
Junxiu Liu, Yong-Moon Mark Park, Seth A. Berkowitz, Qingwei Hu, Kyungdo Han, Andrew Ortaglia, Robert E. McKeown, Angela D. Liese Annals of Epidemiology.2015; 25(9): 643. CrossRef - 1,5-Anhydroglucitol Is Associated with Early-Phase Insulin Secretion in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus
Xiaojing Ma, Yaping Hao, Xiang Hu, Yuqi Luo, Zixuan Deng, Jian Zhou, Yuqian Bao, Weiping Jia Diabetes Technology & Therapeutics.2015; 17(5): 320. CrossRef - Serum glycated albumin as a new glycemic marker in pediatric diabetes
Ji Woo Lee, Hyung Jin Kim, Young Se Kwon, Yong Hoon Jun, Soon Ki Kim, Jong Weon Choi, Ji Eun Lee Annals of Pediatric Endocrinology & Metabolism.2013; 18(4): 208. CrossRef - The Association of Maximum Body Weight on the Development of Type 2 Diabetes and Microvascular Complications: MAXWEL Study
Soo Lim, Kyoung Min Kim, Min Joo Kim, Se Joon Woo, Sung Hee Choi, Kyong Soo Park, Hak Chul Jang, James B. Meigs, Deborah J. Wexler, Noel Christopher Barengo PLoS ONE.2013; 8(12): e80525. CrossRef - Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park Diabetic Medicine.2013; 30(9): 1075. CrossRef - Body Mass Index and Waist Circumference According to Glucose Tolerance Status in Korea: The 2005 Korean Health and Nutrition Examination Survey
Hye Mi Kang, Dong-Jun Kim Journal of Korean Medical Science.2012; 27(5): 518. CrossRef - The Relationship between β-cell Function and Nutrient Intakes in Korean Adult - Using 4thKorea National Health and Nutrition Examination Survey 2009 -
You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee Korean Journal of Community Nutrition.2012; 17(2): 243. CrossRef - The ratio of glycated albumin to glycated haemoglobin correlates with insulin secretory function
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- The Association of Brachial-Ankle Pulse Wave Velocity with 30-Minute Post-Challenge Plasma Glucose Levels in Korean Adults with No History of Type 2 Diabetes
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Eun-Suk Choi, Eun-Jung Rhee, Ji-Hoon Choi, Ji-Cheol Bae, Seung-Hyun Yoo, Won-Jun Kim, Se-Eun Park, Cheol-Young Park, Won-Young Lee, Yong-Kyun Cho, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim
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Korean Diabetes J. 2010;34(5):287-293. Published online October 31, 2010
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DOI: https://doi.org/10.4093/kdj.2010.34.5.287
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4,686
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- Background
Acute postprandial hyperglycemia is an important affector for atherosclerosis in subjects with glucose intolerance. We analyzed the relationship of brachial-ankle pulse wave velocity (baPWV) with fasting and post-challenge plasma glucose levels according to different time points during oral glucose tolerance test (OGTT). MethodsIn 663 subjects with fasting hyperglycemia, 75 g OGTT were performed to confirm the glucose tolerant status, and fasting, post-challenge 30-minute and 120-minute glucose levels were measured. Anthropometric measurements were done, and fasting lipid profiles were measured. baPWV were measured in all subjects and the relationship between fasting, 30- and 120-minute post-challenge glucose levels and baPWV were analyzed. ResultsAmong the participants, 62.9% were prediabetes and 31.7% were diabetes. Mean baPWV value was significantly higher in subjects with diabetes compared with prediabetes group. In bivariate correlation analyses, age, blood pressure, total cholesterol, low density lipoprotein cholesterol, 30-minute and 120-minute post-challenge glucose levels showed significant positive correlation with baPWV value. In multiple regression analysis, 30-minute post-challenge glucose level was a weak but significant determinant for mean baPWV value even after adjustment for other confounding variables. ConclusionsPostprandial hyperglycemia, especially 30-minute glucose levels showed significant correlation with baPWV in subjects with fasting hyperglycemia. These results can imply the deleterious effect of acute hyperglycemic excursion on arterial stiffness in subjects with glucose intolerance.
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Rui Wang, Xiao-li Liu, Xiao-jiao Jia, Yan Liu, Qiang Lu Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1537. CrossRef - The Temporal Pattern of Arterial Stiffness during Aging: A Large-Scale Cross-Sectional Study
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Houry Puzantian, Karen Teff, Raymond R. Townsend Biological Research For Nursing.2015; 17(3): 270. CrossRef - Association between the Postprandial Glucose Levels and Arterial Stiffness Measured According to the Cardio-ankle Vascular Index in Non-diabetic Subjects
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- The Relationship of Adiponectin/Leptin Ratio with Homeostasis Model Assessment Insulin Resistance Index and Metabolic Syndrome in Apparently Healthy Korean Male Adults
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Chan-Hee Jung, Eun-Jung Rhee, Ji-Hoon Choi, Ji-Cheol Bae, Seung-Hyun Yoo, Won-Jun Kim, Cheol-Young Park, Ji Oh Mok, Chul Hee Kim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim
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Korean Diabetes J. 2010;34(4):237-243. Published online August 31, 2010
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DOI: https://doi.org/10.4093/kdj.2010.34.4.237
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Abstract
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- Background
We investigated the relationships of adiponectin/leptin (A/L) ratio with cardiovascular risk factors, insulin resistance index, and metabolic syndrome (MS) in apparently healthy Korean male adults. MethodsSixty-eight male subjects were enrolled among the participants of an annual health check-up program (mean age, 55.1 years). Percent body fat (%) was measured using a bioelectric impedance analyzer. Serum leptin level was measured via radioimmunoassay, and adiponectin level was measured using an enzyme-linked immunosorbent assay. Homeostasis model assessment (HOMA)-insulin resistance (IR) index was calculated, and the presence of metabolic syndrome was assessed. ResultsAdiponectin, leptin, and A/L ratio showed significant correlations with percent body fat, lipid profile, and HOMA-IR. Mean leptin and HOMA-IR levels were significantly higher, while A/L ratio was significantly lower in subjects with MS. With increasing number of MS components, the mean values of leptin and HOMA-IR increased and the A/L ratio decreased. In multiple regression analysis, HOMA-IR was significantly correlated with triglyceride, fasting glucose, and A/L ratio, while A/L ratio was significantly correlated with body mass index and HOMA-IR. HOMA-IR and A/L ratio were significant predictors for each other after adjustment for other factors. ConclusionA/L ratio correlated well with lipid profile, HOMA-IR, and the presence and number of MS components in Korean male subjects.
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