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

J Diabetes. 2015 May;7(3):386-92. doi: 10.1111/1753-0407.12201. Epub 2014 Nov 10.

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.

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。.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity*
  • Adult
  • Blood Glucose
  • Blood Pressure
  • Body Height
  • Body Mass Index*
  • China / epidemiology
  • Diabetes Mellitus, Type 2 / diagnosis*
  • Diabetes Mellitus, Type 2 / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obesity / complications*
  • ROC Curve
  • Risk Factors
  • Waist Circumference
  • Waist-Height Ratio
  • Waist-Hip Ratio

Substances

  • Blood Glucose