title: Use of body mass index to identify obesity-related metabolic disorders in the Chinese population.
abstract: OBJECTIVE
  To identify the body mass index (BMI; in kg/m2) cutoff that predicts the risk for obesity-related metabolic disorders for the Chinese population.
  
  
  METHODS
  Community-based cross-sectional survey.
  
  
  METHODS
  Rural regions of Jiangxi and Anhui provinces and an urban community of Jing'an District of Shanghai, China.
  
  
  METHODS
  Five hundred and twenty-nine non-pregnant, non-lactating urban and rural adults, aged 20-64 years without diagnosed diabetes.
  
  
  RESULTS
  Subjects were divided into two groups: with or without obesity-related metabolic disorders, which was defined as having at least one of the following: hypertension, insulin resistance, high plasma triacylglycerol, low-density lipoprotein-cholesterol or glucose. Gender-specific multiple logistic regression analysis demonstrated a significant dose-response relationship between BMI and obesity-related metabolic disorders, after adjusting for potential confounders. The lowest BMI interval associated with significant risk for both men and women (odds ratios of 2.67 and 3.46, respectively) was that of 22.5-24.4. Receiver-operating characteristic (ROC) curve analysis indicated that a BMI cutoff of 23 had the best combination of sensitivity and specificity and the shortest distance in the ROC curve, with positive and negative predictive values of 0.6-0.7 in both genders.
  
  
  CONCLUSIONS
  A BMI cutoff of 23 might be appropriate for use in identification of high risk of obesity-related metabolic disorders and serve as a public health action threshold in the Chinese population.
  
  
  BACKGROUND
  Center of a Livable Future, John Hopkins Bloomberg School of Public Health.
authors.affiliation: 1Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
authors.forename: X
authors.initials: X
authors.lastname: Weng
authors.forename: Y
authors.initials: Y
authors.lastname: Liu
authors.forename: J
authors.initials: J
authors.lastname: Ma
authors.forename: W
authors.initials: W
authors.lastname: Wang
authors.forename: G
authors.initials: G
authors.lastname: Yang
authors.forename: B
authors.initials: B
authors.lastname: Caballero
mesh_terms: D000328:Adult; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006306:Health Surveys; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000453:epidemiology / Q000208:ethnology; D008875:Middle Aged; D009765:Obesity / Q000150:complications* / Q000453:epidemiology / Q000208:ethnology; D012372:ROC Curve; D012016:Reference Values; D012307:Risk Factors; D012680:Sensitivity and Specificity