Unknown

Dataset Information

Evaluating the predictive power of the body roundness index (BRI) versus traditional obesity measures for female infertility: a hybrid approach using regression models and machine learning algorithms on cross-sectional data.


ABSTRACT: The Body Roundness Index (BRI) has recently been proposed as an effective metric for assessing obesity-related health risks, but its association with female infertility remains insufficiently studied. This study aims to evaluate the predictive power of BRI in comparison to traditional obesity measures (waist circumference (WC) and body mass index (BMI)) for predicting female infertility using data from the National Health and Nutrition Examination Survey (NHANES). A total of 2962 women aged 18-45 years were included in this cross-sectional analysis. Multivariable logistic regression models were employed to examine the relationship between BRI and infertility, adjusting for demographic, behavioral, and metabolic factors. In addition, Generalized Additive Models (GAM) and Restricted Cubic Sp

SUBMITTER: Bahreiny SS 

PROVIDER: S-EPMC12801920 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature