title: Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population.
abstract: BACKGROUND
  Obesity has been shown to be a prognostic indicator of type 2 diabetes (T2D); however, the power of different obesity indicators in the detection of T2D remains controversial. This study evaluates the detecting power of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHTR) for the presence of T2D in undiagnosed diabetics among the Chinese population.
  
  
  METHODS
  Individuals were selected from an ongoing large-scale population-based Beijing Community Pre-Diabetes (BCPD) study cohort. The oral glucose tolerance tests (OGTT) were performed to diagnose diabetes. A total of 220 new cases of T2D and 1,868 normal blood glucose subjects were analyzed. ROC curve analyses were used to compare the association of different obesity indicators with T2D and determine the optimal cut-off points of the best predictor for identifying T2D in men and women.
  
  
  RESULTS
  All indicators positively correlated with presence of T2D in both men and women. In women, WC, WHR and WHTR were similar, but were better in identifying T2D when compared to BMI (P < 0.0001, P=0.0016 and P=0.0001, respectively). In men, WC, WHTR and BMI were similar, but WC and WHTR were better than WHR (P=0.0234, P=0.0101, respectively). For women, 86 cm was the optimal WC cut-off point, and its sensitivity and specificity were 0.714 and 0.616; for men, the optimal cut-off point was 90 cm, and its sensitivity and specificity were 0.722 and 0.571.
  
  
  CONCLUSIONS
  Compared with BMI, WHR and WHTR, WC is a simple and accurate measure for predicting T2D in the Chinese population.
authors.affiliation: Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, 1 Dong Jiao Min Xiang, Beijing 100730, China.
authors.forename: Zhong
authors.initials: Z
authors.lastname: Xin
authors.forename: Chang
authors.initials: C
authors.lastname: Liu
authors.forename: Wen-Yan
authors.initials: WY
authors.lastname: Niu
authors.forename: Jian-Ping
authors.initials: JP
authors.lastname: Feng
authors.forename: Lei
authors.initials: L
authors.lastname: Zhao
authors.forename: Ya-Hong
authors.initials: YH
authors.lastname: Ma
authors.forename: Lin
authors.initials: L
authors.lastname: Hua
authors.forename: Jin-Kui
authors.initials: JK
authors.lastname: Yang
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology*; D005260:Female; D005951:Glucose Tolerance Test; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications* / Q000503:physiopathology; D011159:Population Surveillance; D012372:ROC Curve; D055105:Waist Circumference / Q000502:physiology