ArticlePreventing chronic disease2021
Geographic Variation in Obesity at the State Level in the All of Us Research Program.
Article in Preventing chronic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Geographic patterns in the prevalence of multiple neurodevelopmental disorders among children and adolescents in the United States: a cross-sectional study.Journal of public health (Oxford, England) · 2026Article
- Population-Specific Genetic and Non-Genetic Influences on Sleep Traits and Health Outcomes.ArXiv · 2026Article
- Associations Between Obstructive Sleep Apnea, Obesity, and Indices of Cardiovascular Health Among a Cross-Sectional Sample of Adults Residing in the Southeastern United States.Sleep & breathing = Schlaf & Atmung · 2026Observational
- Self-collected biospecimen consent and return rates in a population-based study among women with ovarian cancer: insights from the ORCHiD study.Cancer causes & control : CCC · 2026Article
- The association of preoperative psychological assessments with long-term sleeve gastrectomy surgery outcomes.PloS one · 2026Article
- U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset.International journal of obesity (2005) · 2025Article
- Exploring gait velocity as a predictor of cardiometabolic disease risk in young adults.Frontiers in sports and active living · 2024Article
- Obesity and Pancreatic Cancer: Recent Progress in Epidemiology, Mechanisms and Bariatric Surgery.Biomedicines · 2022Review
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Authors and funding
26 authors.
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Abstract
introductionNational obesity prevention strategies may benefit from precision health approaches involving diverse participants in population health studies. We used cohort data from the National Institutes of Health All of Us Research Program (All of Us) Researcher Workbench to estimate population-level obesity prevalence.
methodsTo estimate state-level obesity prevalence we used data from physical measurements made during All of Us enrollment visits and data from participant electronic health records (EHRs) where available. Prevalence estimates were calculated and mapped by state for 2 categories of body mass index (BMI) (kg/m
resultsData on height and weight were available for 244,504 All of Us participants from 33 states, and corresponding EHR data were available for 88,840 of these participants. The median and IQR of BMI taken from physical measurements data was 28.4 (24.4- 33.7) and 28.5 (24.5-33.6) from EHR data, where available. Overall obesity prevalence based on physical measurements data was 41.5% (95% CI, 41.3%-41.7%); prevalence of severe obesity was 20.7% (95% CI, 20.6-20.9), with large geographic variations observed across states. Prevalence estimates from states with greater numbers of All of Us participants were more similar to national population-based estimates than states with fewer participants.
conclusionAll of Us participants had a high prevalence of obesity, with state-level geographic variation mirroring national trends. The diversity among All of Us participants may support future investigations on obesity prevention and treatment in diverse populations.
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