Obesity-related indices are associated with self-reported infertility in women: findings from the National Health and Nutrition Examination Survey

Objective Obesity can contribute to infertility, but the exact relationship between infertility risk and obesity-related measurements like waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CoI), and A body shape index (ABSI) in women is uncertain. We investigated the associat...

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Bibliographic Details
Main Authors: Hong Zhang, Minmin Yu, Li Li, Chen Chen, Qinyuan He
Format: Article
Language:English
Published: SAGE Publishing 2025-02-01
Series:Journal of International Medical Research
Online Access:https://doi.org/10.1177/03000605251315019
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Summary:Objective Obesity can contribute to infertility, but the exact relationship between infertility risk and obesity-related measurements like waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CoI), and A body shape index (ABSI) in women is uncertain. We investigated the association between these indices and female infertility. Methods In this cross-sectional study, we used National Health and Nutrition Examination Survey data (2013–2018). We used weighted multivariable logistic regression analysis, receiver operating characteristic (ROC) curves, and subgroup analysis, as well as propensity score matching. Results Among 3373 participants, 344 (10.2%) reported infertility. A significant link between higher infertility risk and increased WHtR, BRI, CoI, ABSI, and body mass index (BMI) was found. Multivariable logistic regression analysis showed WHtR (odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.14–1.42), BRI (OR = 1.09, 95% CI: 1.05–1.14), CoI (OR = 1.36, 95% CI: 1.18–1.56), ABSI (OR = 1.22, 95% CI: 1.12–1.33), and BMI (OR = 1.03, 95% CI: 1.02–1.05) were significantly associated with female infertility. CoI had the best diagnostic performance (area under the ROC curve 0.628, 95% CI: 0.597–0.658). Conclusions Obesity-related indices were positively linked to infertility risk among women in the United States. These indices serve as valuable tools for assessing female infertility risk.
ISSN:1473-2300