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Impact of older age adiposity on incident diabetes: A community-based cohort study in China
Chen, Anthony ; Zhou, Weiju ; Hou, Jian ; ; Ding, Yuanlin ; Wan, Yuhui ; Jester, Rebecca ; Qin, Xia ; Hu, Zhi ;
Chen, Anthony
Zhou, Weiju
Hou, Jian
Ding, Yuanlin
Wan, Yuhui
Jester, Rebecca
Qin, Xia
Hu, Zhi
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2022-04-29
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Abstract
Background Obesity classifications vary globally and the impact of older age adiposity on incident diabetes has not been well-studied. Methods We examined a random sample of 2,809 participants aged ≥60 years in China, who were free of diabetes at baseline and were followed up for up to 10 years to document diabetes (n=178). The incidence of diabetes was assessed in relation to different cut-off points of body mass index (BMI) and waist circumference (WC) in multiple adjusted Cox regression models. Results The diabetic risk in the cohort increased linearly with the continuous and quartile variables of BMI and WC. The BMI-World Health Organization (WHO) and BMI-China criteria analysis did not show such a linear relationship, however, the BMI-Asian/Hong Kong criteria did; adjusted hazards ratio (HR) was 0.42 (95% confidence interval [CI], 0.20 to 0.90) in BMI <20 kg/m2, 1.46 (95% CI, 0.99 to 2.14) in 23-≤26 kg/m2, and 1.63 (95% CI, 1.09 to 2.45) in ≥26 kg/m2. The WC-China criteria revealed a slightly better prediction of diabetes (adjusted HRs were 1.79 [95% CI, 1.21 to 2.66] and 1.87 [95% CI, 1.22 to 2.88] in central obese action levels 1 and 2) than the WC-WHO. The combination of the BMI-Asian/Hong Kong with WC-China demonstrated the strongest prediction. There were no gender differences in the impact of adiposity on diabetes. Conclusion In older Chinese, BMI-Asian/Hong Kong criteria is a better predictor of diabetes than other BMI criterion. Its combination with WC-China improved the prediction of adiposity to diabetes, which would help manage bodyweight in older age to reduce the risk of diabetes.
Citation
Chen, A., Zhou, W., Hou, J. et al. (2022) Impact of older age adiposity on incident diabetes: A community-based cohort study in China. Diabetes & Metabolism Journal, 46(5), pp.733-746. https://doi.org/10.4093/dmj.2021.0215
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PubMed ID
35487506 (pubmed)
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Journal article
Language
en
Description
© 2022 Korean Diabetes Association. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.4093/dmj.2021.0215
Series/Report no.
ISSN
2233-6079
EISSN
2233-6087
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Sponsors
The data collection of the Anhui cohort study was funded by the Royal Society of UK, the BUPA Foundation (Grants Nos. 45NOV06, and TBF-M09-05) and Alzheimer’s Research UK (Grant No. ART/PPG2007B/2). The data analysis was supported by the Discipline Construction Project of Guangdong Medical University (4SG21276P) and the Basic and Applied Basic Research Foundation of Guangdong Province Regional Joint Fund Project (The Key Project) (2020B1515120021), China.