title: Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.
abstract: BACKGROUND
  Central obesity is highly prevalent in women with polycystic ovary syndrome (PCOS) and is strongly associated with metabolic syndrome (MetS).
  
  
  OBJECTIVE
  To define cut-off points of waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), and conicity index (C-Index) to discriminate metabolic syndrome (MetS) in Brazilian women with PCOS.
  
  
  METHODS
  In a cross-sectional study, anthropometric, biochemical and clinical parameters were measured in 113 Brazilian PCOS women (27.2 ± 4.5 years). Receiver operating characteristic (ROC) analysis was used to find out the cut-off points of anthropometric indices to predict MetS according with National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria.
  
  
  RESULTS
  Considering the ROC curve analysis the WC and WHtR had a similar performance in predicting MetS and these parameters were better than WHR and C-Index. The optimal cut-off values of the anthropometric indices for discriminate MetS were: WC = 95 cm; WHtR = 0.59; WHR = 0.88; and C-Index = 1.25. By using these cut-off points the sensitivity and specificity rates of WC and WHtR were higher than those observed for WHR and C-Index.
  
  
  CONCLUSIONS
  Our results indicated that WC and WHtR are more accurate than WHR and C-Index to predict MetS in Brazilian PCOS women.
authors.affiliation: Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, Brazil. eduardocaldascosta@hotmail.com
authors.forename: Eduardo Caldas
authors.initials: EC
authors.lastname: Costa
authors.forename: Joceline Cássia Ferezini de
authors.initials: JC
authors.lastname: Sá
authors.forename: Elvira Maria Mafaldo
authors.initials: EM
authors.lastname: Soares
authors.forename: Telma Maria Araújo Moura
authors.initials: TM
authors.lastname: Lemos
authors.forename: Técia Maria de Oliveira
authors.initials: TM
authors.lastname: Maranhão
authors.forename: George Dantas
authors.initials: GD
authors.lastname: Azevedo
mesh_terms: D000328:Adult; D001837:Body Weights and Measures / Q000592:standards; D001938:Brazil / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D024821:Metabolic Syndrome / Q000150:complications / Q000453:epidemiology / Q000209:etiology*; D056128:Obesity, Abdominal / Q000150:complications* / Q000175:diagnosis* / Q000453:epidemiology; D011085:Polycystic Ovary Syndrome / Q000150:complications* / Q000453:epidemiology; D011237:Predictive Value of Tests; D012372:ROC Curve; D012016:Reference Values; D012307:Risk Factors; D012680:Sensitivity and Specificity; D055105:Waist Circumference; D049629:Waist-Hip Ratio; D055815:Young Adult