title: Roc curves of obesity indicators have a predictive value for children hypertension aged 7-17 years.
abstract: OBJECTIVE
  The aim of the study is to examine the distribution of integrated covariate and its association with blood pressure (BP) among children in Anhui province, China, and assess the predictive value of integrated covariate to children hypertension.
  
  
  METHODS
  A total of 2,828 subjects (1,588 male and 1,240 female) aged 7-17 years participated in this study. Height, weight, waistline, hipline and BP of all subjects were measured, obesity and overweight were defined by an international standard, specifying the measurement, the reference population, and the age and sex specific cut off points. High BP status was defined as systolic blood pressure (SBP) and/or diastolic blood pressure (DBP) ≥95th percentile for age and gender.
  
  
  RESULTS
  Our results revealed that the prevalence of children hypertension was 11.03%, the SBP and DBP of obesity group were significantly higher than that of normal group. Anthropometric obesity indices such as body mass index (BMI) were positively correlated with SBP and DBP. Integrated covariate had a better performance than the single covariate in the receiver-operating characteristic (ROC) curve, the cut-off value; the sensitivity and the specificity of the integrated covariate were 0.112, 0.577, 0.683, respectively.
  
  
  CONCLUSIONS
  Integrated covariate is a simple and effective anthropometric index to identify childhood hypertension.
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. 710725314@qq.com.
authors.forename: Tai-shun
authors.initials: TS
authors.lastname: Li
authors.affiliation: Department of Public Health and Tropical Medicine. Tulane University. New Orleans. LA 70112. USA.. wsun3@tulane.edu.
authors.forename: Wen-jie
authors.initials: WJ
authors.lastname: Sun
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. wnmcwmw@163.com.
authors.forename: Ming-wei
authors.initials: MW
authors.lastname: Wei
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. 1039519401@qq.com.
authors.forename: Shi-hong
authors.initials: SH
authors.lastname: Chen
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. 657263247@qq.com.
authors.forename: Peng
authors.initials: P
authors.lastname: Wang
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. 842982674@qq.com.
authors.forename: Xu-lin
authors.initials: XL
authors.lastname: Wang
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. 1983helianping@163.com.
authors.forename: Lian-ping
authors.initials: LP
authors.lastname: He
authors.affiliation: School of Public Health. Wanna Medical College. Wuhu 241002. China.. wyf@wnmc.edu.cn.
authors.forename: Yu-feng
authors.initials: YF
authors.lastname: Wen
mesh_terms: D000293:Adolescent; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology*; D008297:Male; D009765:Obesity / Q000453:epidemiology*; D063766:Pediatric Obesity / Q000453:epidemiology*; D011237:Predictive Value of Tests; D012372:ROC Curve