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Racial and ethnic differences in the prevalence of metabolic syndrome and its components of metabolic syndrome in women with polycystic ovary syndrome: a regional cross-sectional study

Authors :
Sylvia Asaka Yamashita Hayashida
Gustavo Arantes Rosa Maciel
Juha S. Tapanainen
Sujata Kar
Johanna Puurunen
Jan Roar Mellembakken
Anuja Dokras
Eszter Vanky
Terhi Piltonen
Jessica L. Chan
Edmund Chada Baracat
José Maria Soares
Laure Morin-Papunen
Clinicum
Department of Obstetrics and Gynecology
University of Helsinki
Reproductive Disease Modeling
HUS Gynecology and Obstetrics
Source :
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

BACKGROUND: Polycystic ovary syndrome is a heterogeneous disorder and its presentation varies with race and ethnicity. Reproductive-age women with polycystic ovary syndrome are at increased risk of metabolic syndrome; however, it is not clear if prevalence of metabolic syndrome and clustering of its components differs based on race and ethnicity. Moreover, the majority of these women do not undergo routine screening for metabolic syndrome. OBJECTIVE: We sought to compare the prevalence of metabolic syndrome and clustering of its components in women with polycystic ovary syndrome in the United States with women in India, Brazil, Finland, and Norway. STUDY DESIGN: This is a cross-sectional study performed in 1089 women with polycystic ovary syndrome from 1999 through 2016 in 5 outpatient clinics in the United States, India, Brazil, Finland, and Norway. Polycystic ovary syndrome was defined by the Rotterdam criteria. Main outcome measures were: metabolic syndrome prevalence, blood pressure, body mass index, fasting high-density lipoprotein cholesterol, fasting triglycerides, and fasting glucose. Data from all sites were reevaluated for appropriate application of diagnostic criteria for polycystic ovary syndrome, identification of polycystic ovary syndrome phenotype, and complete metabolic workup. The US White women with polycystic ovary syndrome were used as the referent group. Logistic regression models were used to evaluate associations between race and metabolic syndrome prevalence and its components and to adjust for potential confounders, including age and body mass index. RESULTS: The median age of the entire cohort was 28 years. Women from India had the highest mean Ferriman-Gallwey score for clinical hyperandrogenism (15.6 +/- 6.5, P

Details

ISSN :
00029378
Volume :
217
Database :
OpenAIRE
Journal :
American Journal of Obstetrics and Gynecology
Accession number :
edsair.doi.dedup.....586c258670f53825b7e549558131ce98