title: Prediction of hypertension by different anthropometric indices in adults: the change in estimate approach.
abstract: OBJECTIVE
  To examine the relative contribution for the prediction of hypertension by waist circumference (WC), waist:stature ratio (WSR) or waist:hip ratio (WHR) with that by BMI, to ascertain if WC, WSR or WHR enhances the prediction of hypertension by BMI.
  
  
  METHODS
  Population-based, cross-sectional study. A change of >or=10 % in the prevalence ratio of BMI (PR) or the area under the receiver-operating characteristic curve (AUC) when WC, WSR or WHR was added to a model with BMI was used as the criterion for significant contribution to the prediction of hypertension by BMI. For greater contributions (>or=10 %) these waist measures were considered as better predictors.
  
  
  METHODS
  Nine provinces in China.
  
  
  METHODS
  Chinese adults aged 18 to 65 years (n 7336) who participated in the 2004 China Health and Nutrition Survey.
  
  
  RESULTS
  The prevalence of hypertension (17 % and 23 % for women and men, respectively) was significantly related to increased BMI, WC, WSR and WHR (P for trend <0.001). Although there was a better model fit when WC, WSR or WHR was added to a model with BMI (P < 0.05; likelihood ratio test), the changes in PR and AUC were <10 % and <5 %, respectively. The sex-specific AUC for the prediction of hypertension by BMI (of 0.7-0.8) was similar to that by WC, WSR or WHR.
  
  
  CONCLUSIONS
  The waist indices do not perform better than BMI or markedly enhance the prediction of increased hypertension risk by BMI in Chinese adults.
authors.affiliation: Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
authors.forename: Nguyen T
authors.initials: NT
authors.lastname: Tuan
authors.forename: Linda S
authors.initials: LS
authors.lastname: Adair
authors.forename: June
authors.initials: J
authors.lastname: Stevens
authors.forename: Barry M
authors.initials: BM
authors.lastname: Popkin
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000886:Anthropometry / Q000379:methods*; D001827:Body Height / Q000502:physiology; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000175:diagnosis* / Q000453:epidemiology; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D011237:Predictive Value of Tests; D015995:Prevalence; D012372:ROC Curve; D055105:Waist Circumference / Q000502:physiology; D049629:Waist-Hip Ratio; D055815:Young Adult