Body image concerns in women with polycystic ovary syndrome: a systematic review and meta-analysis
Authors' conclusion
Those with PCOS experience more significant body image concerns, emphasising the importance of awareness in the clinical care of PCOS. Considering the limited evidence, further studies are warranted to identify drivers and mitigating factors.
Study context
- Population
- Women with and without polycystic ovary syndrome (PCOS) in studies using validated body image questionnaires; databases searched from inception through July 20229 studies
- Participants
- 918 vs 865
- Comparison
- Women with PCOS vs women without PCOS
- PCOSn = 918
- Without PCOSn = 865reference
- Outcome
- Body image concerns on validated questionnaires
Methodological detailsrandom or fixed effects models, inverse variance method, Grading of Recommendations, Assessment, Development and Evaluations (GRADE) quality assessment, risk of bias assessment
- Random or fixed effects models
- Inverse variance method
- GRADE quality assessment
- Risk of bias assessment
Pooled result
As reported in the abstract
Body image concerns (MBSRQ-AS appearance evaluation and appearance orientation; 3 studies)
MD
−0.78
P < 0.00001
Appearance evaluation; higher dissatisfaction with PCOS; I2 = 0%
MD
0.22
P = 0.004
Appearance orientation; higher dissatisfaction with PCOS; I2 = 54%
Further pooled results
| Outcome | P value |
|---|---|
| MBSRQ-AS subscales: overweight preoccupation, body area satisfaction, body weight classification (2 studies) | all P < .001 |
| BESAA weight subscale (2 studies)Significantly lower scores with PCOS | P = 0.03 |
- Multidimensional Body-Self Relations Questionnaire Appearance Scale (MBSRQ-AS) subscales: overweight preoccupation, body area satisfaction, body weight classification (2 studies): higher dissatisfaction with overweight preoccupation, lower body area satisfaction and body weight classification with PCOS
Original publication
Body image concerns in women with polycystic ovary syndrome: a systematic review and meta-analysis. Eur J Endocrinol. Published 24 August 2023. doi:10. 1093/ ejendo/ lvad110
Composed by AI from the published abstract and checked against it. How Briefs are made →