Obesity and Infertility: A Double Whammy

Narrative review of how adiposity impairs reproduction — admits the fix is unclear

Journal: Current Opinion in Endocrinology, Diabetes, and Obesity | Published: 2025-11-27 | Type: Narrative Review | PMID: 41311309 Authors: Rashid SSM, Busaidy S (Aga Khan University Hospital, Nairobi, Kenya); Das G (Imperial College London Diabetes Centre, Abu Dhabi) Funding/COI: Not disclosed


Summary

A narrative review covering how excess adiposity impairs fertility in both sexes — in males by disrupting the hypothalamic-pituitary-gonadal (HPG) axis and spermatogenesis, in females by destabilizing the hormonal environment required for ovulation, implantation, and sustained pregnancy. The authors give particular attention to PCOS, where hyperinsulinemia and hyperandrogenemia compound obesity's effects. Their own conclusion admits the evidence on treating obesity to restore fertility is "variable and needs further exploration."

Claims

Study Quality

This is a narrative review published in a "Current Opinion" journal — a format designed for expert commentary and synthesis, not systematic evidence appraisal. There is no stated search methodology, no PRISMA framework, no quality assessment of included studies, and no meta-analytic component. The abstract provides no numbers: no effect sizes, no relative risks, no sample sizes from cited trials. That's not a flaw unique to this paper — it's the nature of the format — but it means this review is best treated as a curated reading list with editorial commentary, not a quantitative summary of the evidence base.

The authorship spans Kenya and Abu Dhabi, which is notable: most infertility-obesity research comes from North American and European cohorts, and these authors may draw on underrepresented population data. Whether they do is unclear from the abstract alone.

Red Flags

Strengths

Verdict

This review will orient a reader who knows nothing about obesity and fertility. It will not move the needle for anyone who already does. The absence of any quantitative data in the abstract — not one odds ratio, not one effect size — means you are essentially taking the authors' word that "numerous studies" support these mechanisms. For a topic this well-trodden, the field deserves a proper systematic review with meta-analysis, and this isn't it. File under background reading, not primary evidence.