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ABSTRACT: Objective
This study sought to explore the relationships between sex hormones and obesity-related markers, while utilizing Mendelian randomization (MR) to evaluate their causal links.Methods
Data from 5179 participants of the 2013-2016 National Health and Nutrition Examination Survey (NHANES) were analyzed. Multivariate linear regression and generalized additive models were utilized to examine linear and non-linear associations between sex hormones and obesity-related parameters. Causal inference was explored via a two-sample MR analysis, with inverse-variance weighting (IVW) as the primary approach.Results
Cross-sectional assessments showed that in males, testosterone levels, SHBG, and T/E2 ratio were negatively correlated with obesity, while estradiol displayed a
SUBMITTER: Yuan Y
PROVIDER: S-EPMC12683816 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature