Prevalence of metabolic syndrome among Iranian women with polycystic ovary syndrome : a systematic review and meta-analysis

Niksima, Seyed and Odel, Naji M. and Khaki, Soore and Gheshlagh, Reza Ghanei and Fallahi, Arezoo and Kurdi, Amanj (2019) Prevalence of metabolic syndrome among Iranian women with polycystic ovary syndrome : a systematic review and meta-analysis. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 13 (3). pp. 1911-1915. ISSN 1871-4021 (https://doi.org/10.1016/j.dsx.2019.03.026)

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Abstract

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that is associated with an increased the risk of metabolic syndrome (MetS) and hence increased cardiovascular diseases in women. This systematic review and meta-analysis aimed at examining the prevalence of MetS in Iranian women with PCOS. This was a systematic review and meta-analysis of English and Persian studies, using the following keywords: Polycystic Ovary Syndrome, Hyperandrogenism, Metabolic Syndrome,“MetSyn”, X Syndrome, and Iran in several national and international databases (Scientific Information Database (SID), Magiran, Web of Science, Google Scholar, PubMed, and Scopus from inception to February 2019. Heterogeneity among the studies was assessed using the Cochran's Q test. The random effects model was then used to estimate the overall prevalence of MetS. ALL the analyses were performed using STATA, version 12. Overall, 10 studies were included in the study. The overall prevalence of MetS among Iranian women with PCOS was 26.6% (95% CI: 16.60–31.70). In addition, the mean body mass index (BMI) was 27.47 (95% CI: 25.46–29.48) and the mean waist circumference was 87.94 (95% CI: 84.28–91.60). According the meta-regression results, there were no significant associations between the prevalence of MetS and sample size, year of publication, waist circumference, BMI, and age. One-fourth of Iranian women with PCOS have MetS. Given the overlap between anthropometric and metabolic abnormalities in PCOS and the features of MetS, accurate identification of patients with MetS is important to ensure early diagnosis and subsequent interventions to effectively manage the condition.

ORCID iDs

Niksima, Seyed, Odel, Naji M., Khaki, Soore, Gheshlagh, Reza Ghanei, Fallahi, Arezoo and Kurdi, Amanj ORCID logoORCID: https://orcid.org/0000-0001-5036-1988;
CORE (COnnecting REpositories)