Higher body roundness index (BRI) increases infertility among U.S. women aged 18-45 years

Infertility is associated with obesity. The Body Roundness Index (BRI) is a body measurement index related to obesity that more accurately assesses body and visceral fat levels. However, the relationship between BRI and infertility remains unclear. Therefore, this study aims to determine the relatio...

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Bibliographic Details
Published in:BMC endocrine disorders 2024-12, Vol.24 (1), p.266-10, Article 266
Main Authors: Gong, Hongyang, Duan, Shuqin, Choi, Seok, Huang, Shaoqun
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age
Alcohol
Analysis
Association
Body fat
Body Mass Index
Body measurements
Body roundness index
Cross-Sectional Studies
Diabetes
Female
Health surveys
Humans
Hyperlipidemia
Hypertension
Infertility
Infertility, Female - epidemiology
Marital status
Middle Aged
NHANES
Nutrition
Nutrition Surveys
Obesity
Obesity - complications
Obesity - epidemiology
Overweight
Prognosis
Regression analysis
Reproductive health
Sensitivity analysis
Statistics
Surveys
Trends
Type 2 diabetes
U.S. women
United States - epidemiology
Womens health
Young Adult
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Summary:Infertility is associated with obesity. The Body Roundness Index (BRI) is a body measurement index related to obesity that more accurately assesses body and visceral fat levels. However, the relationship between BRI and infertility remains unclear. Therefore, this study aims to determine the relationship between BRI and infertility. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018 and included 3,528 women aged 18-45 years. Multivariate logistic regression was employed to investigate the association between BRI and infertility. Restricted cubic spline (RCS) analysis explored the linear or non-linear relationship between BRI and infertility. Interaction analyses were conducted on subgroups to validate the findings. To verify the robustness of the results, we performed several sensitivity analyses, including propensity score matching(PSM) and multiple imputations for missing data. Furthermore, the predictive capabilities of various anthropometric indices-including BRI, weight-adjusted waist index (WWI), body mass index (BMI), and weight-on infertility incidence were assessed using Receiver Operating Characteristic (ROC) curve analysis. There was a significant positive association between BRI and infertility. After adjusting for covariates, for each unit increase in BRI, there was a 12% increase in the probability of infertility (P 
ISSN:1472-6823
1472-6823
DOI:10.1186/s12902-024-01799-8