title: [The best waist circumference cut-point for identifying cardiovascular risk factors among adolescents: a preliminary study].
abstract: OBJECTIVE
  To explore the best waist circumference (WC) cut-point for identifying cardiovascular risk factors among adolescents.
  
  
  METHODS
  Human basic parameters were measured among 3986 adolescents aged 14 - 18 in Qinhuangdao. Receiver operator characteristic curve (ROC) analysis was employed to determine the optimal WC cut-point for detecting cardiovascular risk factors.
  
  
  RESULTS
  The prevalence of the clustering of cardiovascular risk factors significantly increased after the WC was >or= 80th percentiles (77.0 - 79.0 cm for the boys and 70.0 - 72.5 cm for the girls). The age standardization detection rate was 24.9% in boys and 9.9% in girls. ROC analysis showed that the optimal WC cut-point was 80th percentiles, with the sensitivity of 84.3% and specificity of 85.9% in boys, and with sensitivity of 90.7% and specificity of 83.2% in girls.
  
  
  CONCLUSIONS
  There is a significant correlation between WC and cardiovascular risk factors. The optimal WC cut-point for predicting the clustering of cardiovascular risk factors is the 80th percentile.
authors.affiliation: Department of Endocrinology, First Hospital of Qinhuangdao, Hebei Province, Qinhuangdao 066000, China. yfz2004747@sina.com
authors.forename: Fu-Zai
authors.initials: FZ
authors.lastname: Yin
authors.forename: Qiang
authors.initials: Q
authors.lastname: Lu
authors.forename: Chun-Ming
authors.initials: CM
authors.lastname: Ma
authors.forename: Bo-Wei
authors.initials: BW
authors.lastname: Liu
authors.forename: Dong-Hui
authors.initials: DH
authors.lastname: Lou
authors.forename: Rui
authors.initials: R
authors.lastname: Wang
authors.forename: Gai-Ling
authors.initials: GL
authors.lastname: Han
authors.forename: Guang-Fei
authors.initials: GF
authors.lastname: Wu
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.forename: Bo
authors.initials: B
authors.lastname: Liu
authors.forename: Chun-Mei
authors.initials: CM
authors.lastname: Qin
mesh_terms: D050153:Abdominal Fat; D000293:Adolescent; D001786:Blood Glucose; D015992:Body Mass Index; D001835:Body Weight; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology; D009765:Obesity / Q000453:epidemiology; D012372:ROC Curve; D012307:Risk Factors; D055105:Waist Circumference; D049629:Waist-Hip Ratio
chemical_list: D001786:Blood Glucose