Leveraging diagnosis and biometric data from the All of Us Research Program to uncover disparities in obesity diagnosis
Men, and particularly NH-Asian men, may be at heightened risk of underdiagnosis of obesity. Women, and especially Hispanic and NH-Black women, may be at heightened risk of unanticipated harms of obesity diagnosis, including stigma and competing demand with other health concerns. Leveraging diagnosis and biometric data from this unique public domain dataset from the All of Us project, this study revealed pervasive disparities in diagnostic attribution by gender, race, and ethnicity.
Authors
- Eduardo L. Grunvald (ORCID: https://orcid.org/0000-0001-9332-7069)
- Crystal W. Cené (ORCID: https://orcid.org/0000-0001-8512-9441)
- Alina Arseniev‐Koehler (ORCID: https://orcid.org/0000-0003-2544-5607)
- Amy M. Sitapati (ORCID: https://orcid.org/0000-0002-5737-5925)
- Ming Tai-Seale
Institutions
- University of San Diego (US)
- Purdue University West Lafayette (US)
- UC San Diego Health System (US)
- University of California San Diego (US)
- Human Longevity (United States) (US)
- University of California San Diego Medical Center (US)
Publication Details
- Journal
- Obesity Pillars
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1016/j.obpill.2025.100165
- Citations
- 1
- Primary Topic
- Obesity and Health Practices
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- National Institutes of Health
- U.S. National Library of Medicine