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논문 기본 정보

자료유형
학술저널
저자정보
Anthony Chen (Middlesex University) Weiju Zhou (University of Wolverhampton) Jian Hou (Zhengzhou University) Alan Nevill (University of Wolverhampton) Yuanlin Ding (Guangdong Medical University) Yuhui Wan (Anhui Medical University) Rebecca Jester (University of Wolverhampton) Xia Qin (Anhui Medical University) Zhi Hu (Anhui Medical University) Ruoling Chen (University of Wolverhampton)
저널정보
대한당뇨병학회 Diabetes and Metabolism Journal Diabetes and Metabolism Journal Vol.46 No.5
발행연도
2022.9
수록면
733 - 746 (14page)
DOI
10.4093/dmj.2021.0215

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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 (<i>n</i>=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/m<sup>2</sup>, 1.46 (95% CI, 0.99 to 2.14) in 23?≤26 kg/m<sup>2</sup>, and 1.63 (95% CI, 1.09 to 2.45) in ≥26 kg/m<sup>2</sup>. 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.

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