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

Eduardo Caldas Costa, Joceline Cássia Ferezini de Sá, Elvira Maria Mafaldo Soares, Telma Maria Araújo Moura Lemos, Técia Maria de Oliveira Maranhão, George Dantas Azevedo
Gynecological Endocrinology 2012, 28 (1): 12-5

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.

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