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Chen S, Liang Y, Ye X, Zhu Z, Dong K, Liu Y, Jiang F, Wei L, Bao Y, Hou X. Effect of changes in anthropometric measurements on the remission and progression of prediabetes: A community-based cohort study. Diabetes Res Clin Pract 2023; 196:110163. [PMID: 36403679 DOI: 10.1016/j.diabres.2022.110163] [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: 03/17/2022] [Revised: 11/06/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022]
Abstract
AIMS We assessed the impact of changes in body mass index (BMI), body fat percentage (BF%), and waist circumference (WC) on prediabetes among middle-aged and elderly Chinese adults. SUBJECTS, MATERIALS AND METHODS 2.5-year changes in BMI, BF%, and WC were calculated by subtracting baseline levels from follow-up, based on a cohort of 3,632 participants with prediabetes, and outcomes were defined as remission to normal glucose regulation (NGR), persistence in prediabetes, and progression to newly diagnosed diabetes mellitus (NDM). RESULTS Among participants with prediabetes, 16.9% returned to NGR and 24.6% progressed to NDM. Changes in BMI, BF%, but not WC were associated with remission and progression of prediabetes (risk ratio per standard deviation increase of BMI: 0.86 [0.79-0.93] and 1.15 [1.08-1.23]; BF%: 0.91 [0.84-0.98] and 1.11 [1.03-1.19]). Among participants with combined impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), only BF% change was significantly associated with remission of prediabetes. CONCLUSION Short-term management of BMI and BF% should be emphasized to promote the remission and prevent the progression of prediabetes. Moreover, it is of particular clinical importance to monitor BF% among people with combined IFG and IGT.
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Affiliation(s)
- Siyu Chen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China; Department of Endocrinology and Metabolism, Suzhou Dushu Lake Hospital (Dushu Lake Hospital Affiliated to Soochow University), Suzhou, Jiangsu, China
| | - Yebei Liang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China; Department of Geriatrics, Fujian Hypertension Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Xiaoqi Ye
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Zhijun Zhu
- General Practitioner Teams in Community Health Service Center of Nicheng, Pudong New District, Shanghai, China
| | - Keqing Dong
- General Practitioner Teams in Community Health Service Center of Nicheng, Pudong New District, Shanghai, China
| | - Yuexing Liu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Fusong Jiang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Li Wei
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
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Modi A, Gadhavi R, Pérez CM, Joshipura K. Longitudinal association between adiposity measures and regression of prediabetes/diabetes. Nutr Metab Cardiovasc Dis 2021; 31:3085-3094. [PMID: 34629252 PMCID: PMC8650404 DOI: 10.1016/j.numecd.2021.07.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/30/2021] [Accepted: 07/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIMS The recent COVID-19 pandemic has further increased the importance of reducing obesity and prediabetes/diabetes. We aimed to evaluate the association between adiposity and regression of prediabetes/diabetes. METHODS AND RESULTS The San Juan Overweight Adults Longitudinal Study (SOALS) included 1351 individuals with overweight/obesity, aged 40-65, free of major cardiovascular diseases and physician diagnosed diabetes. From the 1012 participants with baseline prediabetes/diabetes, 598 who completed the follow-up were included. Over the follow-up, 25% regressed from prediabetes to normoglycemia or from diabetes to prediabetes or normoglycemia. Poisson regression with robust standard error was used to estimate the relative risk (RR) adjusting for major confounders. Higher neck circumference (NC) was associated with regression of prediabetes/diabetes (RR = 0.45 comparing extreme tertiles; 95% CI:0.30-0.66); RR was 0.49 (95% CI:0.34-0.73) for waist circumference (WC) and 0.64 (95% CI:0.44-0.92) for BMI. Significant associations were found using median cut-offs or continuous measures for weight and BMI. Greater reduction in BMI (comparing extreme tertiles) was significantly associated with regression of prediabetes/diabetes (RR = 1.44; 95% CI:1.02-2.02). Continuous measures of change in adiposity (except for NC) were also associated with regression of prediabetes/diabetes for BMI and weight. Participants who reduced BMI (>5%) increased prediabetes/diabetes regression (RR = 1.61; 95% CI:1.15-2.25) compared to those who did not; similarly for weight (RR = 1.55; 95% CI: 1.10-2.19). Additional analysis for body fat percentage showing slightly weaker results than BMI/weight further supported our findings. CONCLUSION Lower baseline adiposity and higher reduction in adiposity were associated with regression of prediabetes/diabetes among individuals with overweight/obesity.
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Affiliation(s)
- Ashwinkumar Modi
- Center for Clinical Research and Health Promotion, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico, USA
| | | | - Cynthia M Pérez
- Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico, USA
| | - Kaumudi Joshipura
- Center for Clinical Research and Health Promotion, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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Hu H, Kawasaki Y, Kuwahara K, Nakagawa T, Honda T, Yamamoto S, Eguchi M, Kochi T, Nishihara A, Imai T, Yamamoto M, Okazaki H, Miyamoto T, Tomita K, Uehara A, Ogasawara T, Sasaki N, Hori A, Nagahama S, Shimizu M, Murakami T, Chen S, Kabe I, Mizoue T, Sone T, Dohi S. Trajectories of body mass index and waist circumference before the onset of diabetes among people with prediabetes. Clin Nutr 2019; 39:2881-2888. [PMID: 31926761 DOI: 10.1016/j.clnu.2019.12.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/17/2019] [Accepted: 12/19/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND & AIMS To investigate trajectories of body mass index (BMI) and waist circumference (WC) among prediabetic people who progressed to diabetes, people who remained with prediabetes, and those who returned to normoglycemia. METHODS We used data from 22,945 prediabetic people who received an annual health checkup for up to eight years. The development of diabetes was defined using the American Diabetes Association criteria. People who did not progress to diabetes during the observation period were classified as 'remained with prediabetes' or 'returned to normoglycemia', based on their last health checkup data. Trajectories of BMI and WC were evaluated using linear mixed models for repeated measures, with adjustment for a wide range of covariates. RESULTS During the study period, 2972 people progressed to diabetes, 4706 returned to normoglycemia, and 15,267 remained with prediabetes. People who progressed to diabetes had a larger increase in mean BMI from 7 years to 1 year prior to diagnosis, which was about three times that of people who remained with prediabetes (annual change rate, 0.20 [95% confidence interval; 0.15 to 0.24] vs 0.06 [0.04 to 0.08] kg/m2 per year, P < 0.001), regardless of their BMI levels at the initial health checkup. Among people who returned to normoglycemia, mean BMI remained almost the same over time (-0.04 [-0.09 to 0.002] kg/m2 per year), except for those with obesity (-0.16 [-0.28 to -0.05] kg/m2 per year). As for WC, the annual change rate among people who developed diabetes was about 7 times that of people who remained with prediabetes (0.38 [0.32 to 0.45] vs 0.05 [0.03 to 0.08] cm per year, P < 0.001). We also observed a constant mean WC over time among people who had no central obesity and later returned to normoglycemia (-0.02 [-0.06 to 0.03] cm per year), and an annual decrease in mean WC among those who had central obesity and later returned to normoglycemia (-0.40 [-0.47 to -0.32] cm per year). CONCLUSIONS Our study provides strong evidence that avoiding weight gain could help prediabetic people minimize the risk of developing diabetes, regardless of whether they are obese. Losing weight could help obese people restore normoglycemia from a prediabetic state, whereas maintaining current weight may help nonobese people return to normoglycemia.
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Affiliation(s)
- Huan Hu
- Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
| | - Yohei Kawasaki
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Keisuke Kuwahara
- Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan; Teikyo University Graduate School of Public Health, Tokyo, Japan
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Naoko Sasaki
- Mitsubishi Fuso Truck and Bus Corporation, Kanagawa, Japan
| | - Ai Hori
- Department of Global Public Health, University of Tsukuba, Ibaraki, Japan
| | | | - Makiko Shimizu
- Mizue Medical Clinic, Keihin Occupational Health Center, Kanagawa, Japan
| | - Taizo Murakami
- Mizue Medical Clinic, Keihin Occupational Health Center, Kanagawa, Japan
| | - Sanmei Chen
- Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan
| | - Isamu Kabe
- Furukawa Electric Co., Ltd., Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan
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Shang Y, Marseglia A, Fratiglioni L, Welmer AK, Wang R, Wang HX, Xu W. Natural history of prediabetes in older adults from a population-based longitudinal study. J Intern Med 2019; 286:326-340. [PMID: 31165572 PMCID: PMC6851857 DOI: 10.1111/joim.12920] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The natural history of prediabetes in older adults remains unknown. OBJECTIVES To assess the rate at which prediabetes progresses to diabetes, leads to death or reverts to normoglycaemia in older adults and to identify prognostic factors related to different outcomes of prediabetes. METHODS In the Swedish National Study on Aging and Care-Kungsholmen, 2575 diabetes-free participants aged ≥60 years were examined at baseline and followed for up to 12 years. At each wave, diabetes was diagnosed via medical examination, antidiabetic drug use, medical records or glycated haemoglobin (HbA1c) ≥6.5%. Prediabetes was defined as HbA1c ≥5.7% and normoglycaemia as HbA1c <5.7% in diabetes-free participants. Data were analysed with multinomial logistic regression. RESULTS At baseline, 918 (36%) individuals had prediabetes. Of them, 204 (22%) reverted to normoglycaemia (3.4/100 person-years, 95% CI 5.6-12.3), 119 (13%) developed diabetes (2.0/100 person-years, 95% CI 1.7-2.4) and 215 (23%) died (13.0/100 person-years, 95% CI 11.4-14.9) during the 12-year follow-up. The rates of reversion, progression and mortality were higher in the first 6-year than in the second 6-year follow-up, albeit not statistically significant. Lower systolic blood pressure (SBP), absence of heart diseases and weight loss promoted the reversion from prediabetes to normoglycaemia, whilst obesity accelerated its progression to diabetes. CONCLUSIONS During a 12-year follow-up, most of older adults with prediabetes remained stable or reverted to normoglycaemia, whereas only one-third developed diabetes or died. Lower SBP, no heart diseases and weight management may promote reversion to normoglycaemia, suggesting possible strategies for achieving normoglycaemia in older adults with prediabetes.
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Affiliation(s)
- Y Shang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - A Marseglia
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - L Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - A-K Welmer
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden.,Functional Area Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - R Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - H-X Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden.,Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - W Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden.,Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
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Impact of weight gain on the evolution and regression of prediabetes: a quantitative analysis. Eur J Clin Nutr 2016; 71:206-211. [DOI: 10.1038/ejcn.2016.118] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 05/21/2016] [Accepted: 05/27/2016] [Indexed: 12/12/2022]
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Impact of weight and weight change on normalization of prediabetes and on persistence of normal glucose tolerance in an older population: the KORA S4/F4 study. Int J Obes (Lond) 2011; 36:826-33. [PMID: 21863002 DOI: 10.1038/ijo.2011.161] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND AIMS In a population-based cohort study with older subjects and without specific interventions, we investigated the impact of body mass index (BMI) and BMI change (as well as waist circumference and change of waist circumference) on reversion from prediabetes to normal glucose tolerance (NGT) and on long-term persistence of NGT. MATERIALS AND METHODS Oral glucose tolerance tests were conducted at baseline and at follow-up in a cohort study in Southern Germany (KORA S4/F4; 1223 subjects without diabetes aged 55-74 years at baseline in 1999-2001; 887 subjects (73%), of whom 436 had prediabetes at baseline, participated in the follow-up 7 years later). RESULTS BMI reduction, but not initial BMI, predicted reversion from prediabetes to NGT. The odds ratio (OR) for returning to NGT was 1.43 (95% CI: 1.18-1.73) for a BMI decrease of 1 kg m(-2), after adjustment for age, sex, baseline glucose values and lifestyle factors. Initial BMI had no effect on reversion to NGT (OR=0.98, 95% CI: 0.91-1.06, per kg m(-2)). Persistence of NGT was associated with baseline BMI (OR=0.94, 95% CI: 0.88-0.998) and BMI reduction (OR=1.16, 95% CI: 1.02-1.33, per decrease by 1 kg m(-2)). For waist circumference and change of waist circumference similar results were obtained. CONCLUSION In older adults, weight loss strongly increased the chances of returning from prediabetes to NGT irrespective of initial BMI. Long-term persistence of NGT depended both on initial BMI and on BMI change.
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