Department of Nutrition, Henan Provincial People's Hospital and Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People's Republic of China.
Department of Nutrition, Hengyang Central Hospital, Hengyang, Hunan, 421001, People's Republic of China.
BMC Public Health. 2020 Apr 6;20(1):452. doi: 10.1186/s12889-020-08552-5.
Body composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 diabetes mellitus among Chinese adults undergoing medical examination.
Between January 2018 and July 2018, a retrospective cross-sectional study was performed on 3367 (2307 male and 1060 female) participants aged ≥18 years undergoing medical examination in Zhengzhou. Logistic regression analysis was performed to explore the relationship between body composition indicators and risk of type 2 diabetes mellitus. A receiver operating characteristic curve was used to calculate cutoff points and the predictive power of each indicator.
Among the 3367 participants, 12.53% were diagnosed with type 2 diabetes mellitus. Multivariate logistic analysis indicated that male participants (odds ratio [OR] = 1.68, 95% confidence interval [CI]: 1.29-2.19), older participants (OR = 1.05, 95% CI: 1.04-1.06), participants with a waist-to-hip ratio above the reference value (OR = 1.56, 95% CI: 1.18-2.07), participants with body fat percentage above the reference value (OR = 1.62, 95% CI: 1.01-2.68), and participant with a large visceral fat area (OR = 1.01, 95% CI: 1.01-1.02) had a high risk of type 2 diabetes mellitus. Waist-to-hip ratio, body fat percentage, and visceral fat area were the best indicators of type 2 diabetes mellitus (P < 0.001) with cutoff values of 0.90, 25.02%, and 92.00 cm, respectively.
This study suggests a predictive relationship between type 2 diabetes mellitus and body composition indicators of waist-to-hip ratio, body fat percentage, and visceral fat area, which are valuable for screening diabetes and providing effective health education and behavioral intervention for high-risk populations.
人体成分是与 2 型糖尿病发病相关的重要因素。然而，目前尚未有针对中国人群的相关研究。本研究旨在探讨中国体检人群的人体成分指标与 2 型糖尿病发病风险的关系。
2018 年 1 月至 7 月，采用回顾性横断面研究方法，对在郑州进行体检的 3367 名（男 2307 名，女 1060 名）年龄≥18 岁的成年人进行研究。采用 logistic 回归分析探讨人体成分指标与 2 型糖尿病发病风险的关系。采用受试者工作特征曲线计算各指标的截断值和预测能力。
在 3367 名参与者中，12.53%被诊断为 2 型糖尿病。多因素 logistic 分析表明，男性（比值比[OR] = 1.68，95%置信区间[CI]：1.29-2.19）、年龄较大（OR = 1.05，95%CI：1.04-1.06）、腰围/臀围比值高于参考值（OR = 1.56，95%CI：1.18-2.07）、体脂率高于参考值（OR = 1.62，95%CI：1.01-2.68）、内脏脂肪面积较大（OR = 1.01，95%CI：1.01-1.02）的参与者发生 2 型糖尿病的风险较高。腰围/臀围比值、体脂率和内脏脂肪面积是预测 2 型糖尿病的最佳指标（P<0.001），截断值分别为 0.90、25.02%和 92.00cm。
本研究提示人体成分指标腰围/臀围比值、体脂率和内脏脂肪面积与 2 型糖尿病之间存在预测关系，这些指标对于筛查糖尿病以及为高危人群提供有效的健康教育和行为干预具有重要意义。
