首页> 外文期刊>Journal of diabetes research. >Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China
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Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China

机译:腰围(WC)的强烈关联,体重指数(BMI),腰部到高度(WHTR)和腰部与髋关节比(WHR):吉林省的群体横截面研究 , 中国

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Backgrounds . The prevalence of diabetes has increased with the increase of obesity, and finding indicators to predict diabetes risk has become an urgent need. The purpose of this study is to compare the correlation between four anthropometric indices and the prevalence of diabetes. Methods . A total of 4052 participants aged 40 years and above were selected in Dehui City, Jilin Province, using a multistage stratified whole group sampling method. Face-to-face interviews and physical examinations were conducted. Multivariate logistic analysis was used. The values of BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were divided into quartiles (Q1: 25%; Q2: ~25%; Q3: ~50%; and Q4: ~75%). The median of each quartile was used for a linear trend test. Results . For all four body fat-measuring indices of body mass index (adjusted OR: 3.300, 95% CI: 2.370, 4.595), WC (adjusted OR: 5.131, 95% CI: 3.433, 7.669), WHR (adjusted OR: 3.327, 95% CI: 2.386, 4.638), and WHtR (adjusted OR: 5.959, 95% CI: 3.922, 9.054), patients in the highest quartile were more likely to have diabetes than those in the lowest quartile. The areas under the curve of WHtR, WC, WHR, and BMI for diabetes were 0.683, 0.669, 0.654, and 0.629, respectively. In female participants, the areas under the curve of the waist-height ratio and WC were 0.710 (95% CI: 0.679-0.741) and 0.701 (95% CI: 0.670-0.732), respectively. Conclusions . The WC and WHtR were more closely related to diabetes than BMI and WHR among of age, especially in females.
机译:背景。糖尿病的患病率随着肥胖的增加而增加,并发现预测糖尿病风险的指标已成为迫切需要。本研究的目的是比较四个人类测量指数与糖尿病患病率之间的相关性。方法 。在吉林省德汇市中共有40岁及以上的4052名参与者,采用多级分层全群采样方法。进行面对面的面试和体检。使用多变量物流分析。 BMI,腰围(WC),腰部到臀部比(WHR)和腰部到高度比(WHTR)的值分成四分位数(Q1:Q1 25%; Q2:〜25%; Q3 :〜50%; Q4:〜75%)。每个四分位数的中值用于线性趋势试验。结果 。适用于所有四个身体脂肪测量索引的体重指数(调整或:3.300,95%CI:2.370,4.595),WC(调整为:5.131,95%CI:3.433,7.669),WHR(调整或:3.327, 95%CI:2.386,4.638)和WHTR(调整或:5.959,95%CI:3.922,9.054),最高四分位数的患者更可能具有比最低四分位数的糖尿病。糖尿病WHTR,WC,WHR和BMI曲线下的区域分别为0.683,0.669,0.654和0.629。在女性参与者中,腰部高比率和WC曲线下的区域分别为0.710(95%CI:0.679-0.741)和0.701(95%CI:0.670-0.732)。结论。 WC和WHTR比BMI和WHR患者更密切,而且尤其是女性。

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