ArticleFrontiers in medicine2026
Association between Body Roundness Index and infertility risk in Han Chinese women: a retrospective observational study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Infertility is a major global health concern and is increasingly recognized to be influenced by metabolic and anthropometric factors. The Body Roundness Index (BRI), a waist- and height-based indicator of central adiposity, has been associated with cardiometabolic outcomes. Although emerging studies have examined the relationship between BRI and infertility, evidence remains limited across populations, particularly regarding non-linear associations and effect modification. Objective: This study aimed to examine the association between BRI and infertility risk in Han Chinese women and to explore potential non-linear and subgroup-specific patterns. Methods: We conducted a retrospective observational study including 425 Han Chinese women aged 20-44 years. BRI was calculated from measured waist circumference and height. Infertility was defined as failure to conceive after 12 months of unprotected intercourse. Multivariable logistic regression was used to evaluate the association between BRI and infertility after adjustment for selected confounders, including age, Body Mass Index, physical activity, and Polycystic Ovary Syndrome. Restricted cubic spline functions within logistic regression were applied to assess potential non-linear relationships, and subgroup analyses were performed to evaluate effect modification. Results: Women with infertility had significantly higher BRI values than those without infertility (8.5 ± 2.0 vs. 7.1 ± 1.5, Conclusion: Higher BRI is associated with increased infertility risk among Han Chinese women, with a non-linear pattern that becomes more pronounced at higher levels of central adiposity. These findings suggest that BRI may serve as a useful anthropometric marker for infertility risk stratification, although confirmation in larger prospective studies with more comprehensive covariate assessment is warranted.
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