title: Optimal cutoff of the waist-to-hip ratio for detecting cardiovascular risk factors among Han adults in Xinjiang.
abstract: BACKGROUND
  The optimal cutoff of the waist-to-hip ratio (WHR) among Han adults in Xinjiang, which is located in the center of Asia, is unknown. We aimed to examine the relationship between different WHRs and cardiovascular risk factors among Han adults in Xinjiang, and determine the optimal cutoff of the WHR.
  
  
  METHODS
  The Cardiovascular Risk Survey was conducted from October 2007 to March 2010. A total of 14618 representative participants were selected using a four-stage stratified sampling method. A total of 5757 Han participants were included in the study. The present statistical analysis was restricted to the 5595 Han subjects who had complete anthropometric data. The sensitivity, specificity, and distance on the receiver operating characteristic (ROC) curve in each WHR level were calculated. The shortest distance in the ROC curves was used to determine the optimal cutoff of the WHR for detecting cardiovascular risk factors.
  
  
  RESULTS
  In women, the WHR was positively associated with systolic blood pressure, diastolic blood pressure, and serum concentrations of serum total cholesterol. The prevalence of hypertension and hypertriglyceridemia increased as the WHR increased. The same results were not observed among men. The optimal WHR cutoffs for predicting hypertension, diabetes, dyslipidemia and ≥ two of these risk factors for Han adults in Xinjiang were 0.92, 0.92, 0.91, 0.92 in men and 0.88, 0.89, 0.88, 0.89 in women, respectively.
  
  
  CONCLUSIONS
  Higher cutoffs for the WHR are required in the identification of Han adults aged ≥ 35 years with a high risk of cardiovascular diseases in Xinjiang.
authors: Shuang-Shuang
authors: SS
authors: Li
authors: Shuo
authors: S
authors: Pan
authors: Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China. myt-xj@163.com.
authors: Yi-Tong
authors: YT
authors: Ma
authors: Yi-Ning
authors: YN
authors: Yang
authors: Xiang
authors: X
authors: Ma
authors: Xiao-Mei
authors: XM
authors: Li
authors: Zhen-Yan
authors: ZY
authors: Fu
authors: Xiang
authors: X
authors: Xie
authors: Fen
authors: F
authors: Liu
authors: You
authors: Y
authors: Chen
authors: Bang-Dang
authors: BD
authors: Chen
authors: Zi-Xiang
authors: ZX
authors: Yu
authors: Chun-Hui
authors: CH
authors: He
authors: Ying-Ying
authors: YY
authors: Zheng
authors: Nuremanguli
authors: N
authors: Abudukeremu
authors: Jialin
authors: J
authors: Abuzhalihan
authors: Yong-Tao
authors: YT
authors: Wang
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D044466:Asian People; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure; D002318:Cardiovascular Diseases / Q000208:ethnology*; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D006937:Hypercholesterolemia / Q000175:diagnosis / Q000208:ethnology; D006973:Hypertension / Q000175:diagnosis / Q000208:ethnology; D015228:Hypertriglyceridemia / Q000175:diagnosis / Q000208:ethnology; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis* / Q000208:ethnology*; D011237:Predictive Value of Tests; D012372:ROC Curve; D012307:Risk Factors; D012737:Sex Factors; D065927:Waist-Height Ratio
chemical_list: D015415:Biomarkers; D008055:Lipids