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.
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 PCOSwomen (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 PCOSwomen.
Authors: Mahmoud M A Abulmeaty; Ali M Almajwal; Najwa K Almadani; Mona S Aldosari; Ahmed A Alnajim; Saeed B Ali; Heba M Hassan; Hany A Elkatawy Journal: Saudi Med J Date: 2017-04 Impact factor: 1.484
Authors: Ramon Bossardi Ramos; Lucas Bandeira Marchesan; Poli Mara Spritzer; Monica de Oliveira; Enrico Carmina Journal: Diabetol Metab Syndr Date: 2021-02-16 Impact factor: 3.320
Authors: Małgorzata Kałużna; Magdalena Czlapka-Matyasik; Pola Kompf; Jerzy Moczko; Katarzyna Wachowiak-Ochmańska; Adam Janicki; Karolina Samarzewska; Marek Ruchała; Katarzyna Ziemnicka Journal: Ther Adv Endocrinol Metab Date: 2022-01-10 Impact factor: 3.565