Literature DB >> 25047243

Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population.

Xianchao Xiao1, Yujia Liu, Chenglin Sun, Xiaokun Gang, Jie Cheng, Suyan Tian, Ying Gao, You Lv, Zhonghua Sun, Yazhen Li, Ping He, Yang Liu, Gang Wang, Yuan Gao, Liwen Zhu, Yan Liu, Guixia Wang.   

Abstract

BACKGROUND: The aim of the present study was to compare correlation coefficients between anthropometric indices and blood glucose level, and to determine optimal cutoff points of obesity indices in a Chinese population.
METHODS: 2419 males and 5140 females participated in this study in Changchun city. Weight, height, WC (waist circumference) and hip circumference were measured; and BMI (body mass index), WHtR (waist height ratio), WHR (waist hip ratio) and BAI (body adiposity index) were calculated by formulas. FPG (fasting plasma glucose), PPG (post-load plasma glucose), HbA1c (glycosylated hemoglobin) and FSI (fasting serum insulin) were measured.
RESULTS: WHtR had the highest partial correlation coefficients with blood glucose and HbA1c in both males and females; however, BAI had the lowest coefficients. AUC (area under receiver operating characteristic curves) for WHtR in screening type 2 diabetes mellitus were higher than other indices. We confirmed that the optimal cutoff points of obesity for WHtR, WHR, WC, BMI and BAI were 0.55, 0.92, 88.1, 25.9 and 28.1 in males, and 0.52, 0.85, 81.6, 24.6 and 31.0 in females, respectively.
CONCLUSIONS: Central obesity correlates more closely to glucose metabolism in Chinese population than general obesity. WHtR is the best index to predict type 2 diabetes mellitus in Chinese adults.
© 2014 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  diabetes mellitus; obesity; receiver operating characteristic curve; type 2; 关键词:2型糖尿病,肥胖,受试者工作特征曲线。

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Year:  2014        PMID: 25047243     DOI: 10.1111/1753-0407.12201

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  10 in total

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  10 in total

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