title: [The relationship between waist to stature ratio and hypertension, diabetes, and dyslipidemia in Qingdao].
abstract: OBJECTIVE
  To evaluate the relationship between waist to stature ratio (WSR) and hypertension, diabetes, dyslipidemia in Qingdao.
  
  
  METHODS
  Data were collected from a 2001 - 2007 Qingdao area diabetes survey, population-based cross-sectional study, and 30 712 Chinese adults aged>18 years old were enrolled. Correlation analysis of BMI, WSR, hip circumference, waist circumference, waist to hip ratio (WHR) with blood glucose, blood pressure, blood lipid were conducted. ROC curve analysis in diabetes, hypertension, dyslipidemia and multivariate logistic regression analysis were also conducted.
  
  
  RESULTS
  Anthropometric indicators were related with hypertension, diabetes and dyslipidemia in both men and women. Comparing with other anthropometric indicators, WSR was found to have the largest area under the ROC curve and the best cut-off point of WSR was 0.52. Multivariate logistic regression analysis showed that, after controlling age, disease history, physical activity, sex, the diabetes hypertension and dyslipidemia risk OR of WSR ≥ 0.52 were largest.
  
  
  CONCLUSIONS
  Anthropometric indicators intimately related with cardiovascular risk factors in Qingdao region, and may predict and evaluate the risk of cardiovascular disease. WSR may be the best index for predicting cardiovascular risk factors in Qingdao area. The optimal WSR cut off point for identifying cardiovascular risk factors clustering is 0.52.
authors.affiliation: Qingdao Endocrine and Diabetes Hospital, Qingdao, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Jing
authors.forename: Yan-hu
authors.initials: YH
authors.lastname: Dong
authors.forename: Ting
authors.initials: T
authors.lastname: Han
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.forename: Na
authors.initials: N
authors.lastname: Wang
authors.forename: Ya-mei
authors.initials: YM
authors.lastname: Zhu
authors.forename: Mei-hua
authors.initials: MH
authors.lastname: Xu
mesh_terms: D000328:Adult; D000368:Aged; D062186:Arterial Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000378:metabolism; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000453:epidemiology* / Q000378:metabolism; D050171:Dyslipidemias / Q000453:epidemiology* / Q000378:metabolism; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology* / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012307:Risk Factors; D049629:Waist-Hip Ratio