The Association Between Obesity and Polycystic Ovary Syndrome: An Epidemiologic Study of Observational Data
Authors' conclusion
The prevalences of PCOS and obesity appear to be modestly associated, although our data cannot establish causality. This study also emphasizes the need to undertake only high-quality studies in assessing PCOS epidemiology.
Study context
- Population
- Population studies on polycystic ovary syndrome (PCOS) prevalence globally through July 2023; adults from 24 countries
- Participants
- 85,956 participants58 studies
- Comparison
- Population mean body mass index (BMI) or obesity prevalence vs PCOS prevalence
- Outcome
- Association of mean BMI or obesity prevalence with PCOS prevalence by NIH, Rotterdam and AE-PCOS criteria
Methodological detailslinear regression, random-effect models, subgroup analyses by recruitment method and study quality
- Linear regression
- Random-effect models
- Subgroup analyses by recruitment method and study quality
Pooled result
As reported in the abstract
Association between obesity prevalence and PCOS prevalence
Increase in PCOS prevalence (Rotterdam) per 1% increase in obesity prevalence
≈0.4%
Further pooled results
Subgroup: studies with better recruitment methods
- Significant positive association of population mean BMI or obesity prevalence with PCOS prevalence using Rotterdam or Androgen Excess-PCOS (AE-PCOS) criteria
Subgroup: high-quality studies only
- Association using National Institutes of Health (NIH) as well as Rotterdam and AE-PCOS criteria
Original publication
The Association Between Obesity and Polycystic Ovary Syndrome: An Epidemiologic Study of Observational Data. J Clin Endocrinol Metab. Published 30 July 2024. doi:10.
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