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Women's adjusted odds of diagnosis were far higher than men's (95% confidence interval 1.66-1.75).

Healthcare providers should consider gender disparities in obesity diagnosis when assessing patients.

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Adjusting for BMI, comorbidities, and other covariates, women's adjusted odds of diagnosis were far higher than men's (95 % confidence interval 1.66-1.75).
Alina Arseniev‐Koehler et al. · Obesity Pillars · 2025

Why this rating

The study uses statistical analysis to derive these odds.

Source

Leveraging diagnosis and biometric data from the All of Us Research Program to uncover disparities in obesity diagnosis

Alina Arseniev‐Koehler et al. · Obesity Pillars · 2025

DOI 10.1016/j.obpill.2025.100165

cross-sectionalCited 1×
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DOI resolved against Crossref · corpus check 2026-06-10

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