Association Between Body Mass Index and Diabetes in Northeastern China: Based on Dose-Response Analyses Using Restricted Cubic Spline Functions. (September 2016)

• Record Type: Journal Article
• Authors: Su, Yingying; Ma, Yue; Rao, Wenwang; Yang, Guang; Wang, Shibin; Fu, Yingli; Liu, Yingyu; Zhang, Yangyu; You, Yueyue; Yu, Yaqin; Kou, Changgui
• Is Part Of: Asia-Pacific journal of public health. Volume 28:Number 6(2016:Nov.)
• Page Start: 486
• Page End: 497
• Publication Date: 2016-09
• Subjects: body mass index -- cross-sectional study -- diabetes -- Northeastern China -- restricted cubic spline; Public health -- Pacific Area -- Periodicals; Public health -- Asia -- Periodicals; 362.1095
• DOI: 10.1177/1010539516656436
• Languages: English
• ISSNs: 1010-5395

Abstract

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 21 435 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.