title: Comparison of different anthropometric measures as predictors of diabetes incidence in a Chinese population.
abstract: OBJECTIVE
  We aimed to explore an optimal anthropometric indicator and optimal cut-off points for incident diabetes in Chinese adults.
  
  
  METHODS
  61,703 subjects were followed for a median duration of 2 years. Body mass index, waist circumference, waist-to-hip ratio and waist-to-height ratio were collected base on a standard protocol. Receiver Operating Characteristic curve analyses were used to compare the predictive power of baseline BMI, WC, WHpR and WHtR for development of type 2 diabetes.
  
  
  RESULTS
  There were 2991 new cases of type 2 diabetes during follow-up. ROC curve analyses indicated that WHtR was the best predictor of type 2 diabetes for male (AUC = 0.633). For female, WHtR and WC had similar predictive ability (AUC = 0.701 and 0.695 respectively) and were superior to BMI. WHpR was the weakest predictor in both genders. The optimal WHtR cut-off values for incidence of type 2 diabetes were similar in both genders (0.53 vs. 0.52). BMI was higher in men (26 kg/m(2)) than women (24 kg/m(2)); and so did WC (91 cm in men vs. 85 cm in women).
  
  
  CONCLUSIONS
  WHtR, and to some degree WC, are the best predictors of type 2 diabetes, followed by BMI then WHpR which is the weakest predictor in the tested adults.
authors.affiliation: Department of Epidemiology and Health Statistics, School of Public Health and Family Medicine, Capital Medical University, Beijing 100069, China.
authors.forename: Zhaoxia
authors.initials: Z
authors.lastname: Jia
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhou
authors.forename: Xiurong
authors.initials: X
authors.lastname: Liu
authors.forename: Yilong
authors.initials: Y
authors.lastname: Wang
authors.forename: Xingquan
authors.initials: X
authors.lastname: Zhao
authors.forename: Yongjun
authors.initials: Y
authors.lastname: Wang
authors.forename: Wannian
authors.initials: W
authors.lastname: Liang
authors.forename: Shouling
authors.initials: S
authors.lastname: Wu
mesh_terms: D000328:Adult; D000886:Anthropometry; D044466:Asian People; D015992:Body Mass Index; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D055105:Waist Circumference / Q000502:physiology; D049629:Waist-Hip Ratio