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Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome.
Gynecol Endocrinol. 2012 Jan; 28(1):12-5.GE

Abstract

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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Authors+Show Affiliations

Costa EC
Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal do Rio Grande do Norte, Natal, Brazil. eduardocaldascosta@hotmail.com
Sá JC
No affiliation info available
Soares EM
No affiliation info available
Lemos TM
No affiliation info available
Maranhão TM
No affiliation info available
Azevedo GD
No affiliation info available

MeSH

AdultBody Weights and MeasuresBrazilCross-Sectional StudiesFemaleHealth Status IndicatorsHumansMetabolic SyndromeObesity, AbdominalPolycystic Ovary SyndromePredictive Value of TestsROC CurveReference ValuesRisk FactorsSensitivity and SpecificityWaist CircumferenceWaist-Hip RatioYoung Adult

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

21958393

Citation

Costa, Eduardo Caldas, et al. "Anthropometric Indices of Central Obesity How Discriminators of Metabolic Syndrome in Brazilian Women With Polycystic Ovary Syndrome." Gynecological Endocrinology : the Official Journal of the International Society of Gynecological Endocrinology, vol. 28, no. 1, 2012, pp. 12-5.
Costa EC, Sá JC, Soares EM, et al. Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome. Gynecol Endocrinol. 2012;28(1):12-5.
Costa, E. C., Sá, J. C., Soares, E. M., Lemos, T. M., Maranhão, T. M., & Azevedo, G. D. (2012). Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome. Gynecological Endocrinology : the Official Journal of the International Society of Gynecological Endocrinology, 28(1), 12-5. https://doi.org/10.3109/09513590.2011.583956
Costa EC, et al. Anthropometric Indices of Central Obesity How Discriminators of Metabolic Syndrome in Brazilian Women With Polycystic Ovary Syndrome. Gynecol Endocrinol. 2012;28(1):12-5. PubMed PMID: 21958393.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome. AU - Costa,Eduardo Caldas, AU - Sá,Joceline Cássia Ferezini de, AU - Soares,Elvira Maria Mafaldo, AU - Lemos,Telma Maria Araújo Moura, AU - Maranhão,Técia Maria de Oliveira, AU - Azevedo,George Dantas, Y1 - 2011/09/29/ PY - 2011/10/1/entrez PY - 2011/10/1/pubmed PY - 2012/5/1/medline SP - 12 EP - 5 JF - Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology JO - Gynecol Endocrinol VL - 28 IS - 1 N2 - 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. SN - 1473-0766 UR - https://www.unboundmedicine.com/medline/citation/21958393/Anthropometric_indices_of_central_obesity_how_discriminators_of_metabolic_syndrome_in_Brazilian_women_with_polycystic_ovary_syndrome_ L2 - https://www.tandfonline.com/doi/full/10.3109/09513590.2011.583956 DB - PRIME DP - Unbound Medicine ER -