Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome

• Published in: Gynecological endocrinology Vol. 28; no. 1; pp. 12 - 15
• Main Authors: Costa, Eduardo Caldas, Ferezini de Sá, Joceline Cássia, Mafaldo Soares, Elvira Maria, Araújo Moura Lemos, Telma Maria, de Oliveira Maranhão, Técia Maria, Dantas Azevedo, George
• Format: Journal Article
• Language: English
• Published: England Informa Healthcare 01.01.2012; Taylor & Francis
• Subjects: Adult; body mass index; Body Weights and Measures - standards; Brazil - epidemiology; Cross-Sectional Studies; Female; Health Status Indicators; Humans; insulin resistance; Metabolic Syndrome - complications; Metabolic Syndrome - epidemiology; Metabolic Syndrome - etiology; Obesity, Abdominal - complications; Obesity, Abdominal - diagnosis; Obesity, Abdominal - epidemiology; Polycystic ovary syndrome; Polycystic Ovary Syndrome - complications; Polycystic Ovary Syndrome - epidemiology; Predictive Value of Tests; Reference Values; Risk Factors; ROC Curve; Sensitivity and Specificity; Waist Circumference; Waist-Hip Ratio; Young Adult
• ISSN: 0951-3590; 1473-0766
• DOI: 10.3109/09513590.2011.583956

Background: Central obesity is highly prevalent in women with polycystic ovary syndrome (PCOS) and is strongly associated with metabolic syndrome (MetS). Objectives: 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.Conclusion: Our results indicated that WC and WHtR are more accurate than WHR and C-Index to predict MetS in Brazilian PCOS women.