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首页> 外文期刊>Asia-Pacific journal of public health >Association Between Body Mass Index and Diabetes in Northeastern China: Based on Dose-Response Analyses Using Restricted Cubic Spline Functions
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Association Between Body Mass Index and Diabetes in Northeastern China: Based on Dose-Response Analyses Using Restricted Cubic Spline Functions

机译：东北地区体重指数与糖尿病的相关性：基于受限三次样条函数的剂量反应分析

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摘要

A high body mass index (BMI) is a major risk factor for diabetes, although little is known about the characterization of a dose-response association adjusted for potential confounders. This cross-sectional study was conducted from June 2012 to August 2012; a total of 21435 inhabitants in Jilin Province aged between 18 and 79 years were selected randomly based on multistage, stratified cluster sampling. The estimated prevalence of diabetes was 9.1% overall, 9.4% in males and 8.9% in females. After adjusting for potential confounders, the multivariable-adjusted odds ratios for the BMI-diabetes association were 1.337 (95% confidence interval = 1.185-1.508) and 1.696 (95% confidence interval = 1.429-2.042), respectively, for overweight and obesity. Through multivariable restricted cubic spline regression, continuous variation in BMI was found to be related to diabetes in a nonlinear manner (P < .001) after adjustment for confounders in both different gender and different age groups, suggesting that there is an adjusted dose-response association between continuous BMI and diabetes, with substantial population-level effects.
机译：高体重指数（BMI）是糖尿病的主要危险因素，尽管对针对潜在混杂因素进行调整的剂量反应关联的特征了解甚少。该横断面研究于2012年6月至2012年8月进行;根据多阶段分层整群抽样，吉林省共选择了21435名18至79岁的居民。估计糖尿病的总体患病率为9.1％，男性为9.4％，女性为8.9％。在对潜在的混杂因素进行调整之后，对于超重和肥胖症，BMI-糖尿病协会的多变量调整后的优势比分别为1.337（95％置信区间= 1.185-1.508）和1.696（95％置信区间= 1.429-2.042）。通过多变量限制性三次样条回归，发现在不同性别和不同年龄段的混杂因素调整后，BMI的持续变化与糖尿病呈非线性关系（P <.001），表明存在调整后的剂量反应持续的BMI与糖尿病之间存在关联，并具有大量的人群影响。

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