Impact of BMI on fertility in an otherwise healthy population: a systematic review and meta-analysis.

BMJ Open

Centre for Women's Health research, Department of Women's and Children's Health, Institute of Life Course and medical Sciences, University of Liverpool, Member of Liverpool Health Partners, Liverpool, L8 7SS, UK

Published: November 2024

Background: An increased body mass index (BMI) can lead to subfertility; however, current literature fails to exclude the effect of other confounding medical conditions, raising questions regarding the direct link between increased BMI and fertility outcomes.

Objectives: To conduct a systematic review and meta-analysis to elucidate the effects of increased BMI on fertility outcomes in females with no other comorbidities.

Search Strategy: A comprehensive search was conducted using EMBASE, MEDLINE and the Cochrane library from January 2000 until July 2023.

Data Collection And Analysis: Two authors independently conducted data extraction and assessed study quality. Odds ratio (OR) (dichotomous data), standardised mean difference (SMD) (continuous data) and 95% CIs were calculated.

Main Results: Nine eligible studies were identified: one natural conception and eight assisted reproductive technology (ART). Aggregated data revealed women with BMI ≥25 were less likely to attain clinical pregnancy (OR 0.76, 95% CIs 0.62 to 0.93, p=0.007), with BMI ≥30 associated with a further decreased likelihood of clinical pregnancy (OR 0.61, 95% CIs 0.39 to 0.98, p=0.04). Women with raised BMI required longer duration of stimulation (SMD=0.08, 95% CIs 0.00 to 0.16, p=0.04) and obtained reduced oocytes (SMD=-0.11, 95% CIs -0.18 to -0.04, p=0.002).

Conclusions: These data demonstrate an adverse impact of being overweight/obese on ART outcomes in women with no other diagnosed medical comorbidities and highlight the distinct lack of data concerning the effects of isolated obesity on natural conception. Infertility represents an enormous burden for couples and society; it is essential to identify and tackle modifiable risk factors to improve chances of conception.

Prospero Registration Number: CRD42022293631.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529583PMC
http://dx.doi.org/10.1136/bmjopen-2023-082123DOI Listing

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