Geographic Variation in Obesity at the State Level in the All of Us Research Program
Cheryl R. Clark, Paulette D. Chandler, Guohai Zhou, Nyia L. Noel, Confidence Achilike, Lizette Mendez, George O'connor, Jordan W. Smoller, Scott T. Weiss, Shawn N. Murphy, Mark J. Ommerborn, Jason H. Karnes, Yann C. Klimentidis, Christina Jordan, Robert A. Hiatt, Andrea H. Ramirez, Roxana Loperena, Kelsey Mayo, Ellen G. Cohn, Lucila Ohno‐Machado, Eric Boerwinkle, Mine Cicek, Sheri D. Schully, Stephen Mockrin, Kelly A. Gebo, Elizabeth W. Karlson
Abstract
INTRODUCTION: National 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. METHODS: ): obesity (BMI >30) and severe obesity (BMI >35). We calculated and mapped prevalence by state, excluding states with fewer than 100 All of Us participants. RESULTS: Data 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. CONCLUSION: All 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.