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September 10, 2025International Journal of Reproduction Contraception Obstetrics and GynecologyOpen Access

Comorbidity patterns and predictive factors in polycystic ovary syndrome: a cross-sectional study

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Authors

GRGeeta RawatHGH. K. GuptaNKNeha Kumari

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Overview

Cross-sectional study evaluated medical comorbidities in women with polycystic ovary syndrome, highlighting significant demographic and laboratory associations.

Key Points

  • Women with polycystic ovary syndrome are at high risk for various medical comorbidities, including metabolic syndrome and mental health issues.
  • Metabolic syndrome was identified in 27.65% of the participants, while type 2 diabetes and hypertension affected 14.89% and 19.14%, respectively.
  • Cross-sectional analysis assessed associations using cohort data from 393 women diagnosed with polycystic ovary syndrome.
  • Early identification of high-risk profiles may improve intervention outcomes and long-term management.

Cite This Study

Rawat et al. (2025) studied this question.

synapsesocial.com/papers/68c23e4fb210217d647915efhttps://doi.org/10.18203/2320-1770.ijrcog20252328
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Also Consider

Synapse has enriched one closely related paper. Consider it for comparative context:

  1. 1The Prevalence and Features of the Polycystic Ovary Syndrome in an Unselected Population2004 · 2,738 citations