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Geographic Variation in Obesity at the State Level in the All of Us Research Program
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718125/ https://www.ncbi.nlm.nih.gov/pubmed/34941480 http://dx.doi.org/10.5888/pcd18.210094 |
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author | Clark, Cheryl R. Chandler, Paulette D. Zhou, Guohai Noel, Nyia Achilike, Confidence Mendez, Lizette O’Connor, George T. Smoller, Jordan W. Weiss, Scott T. Murphy, Shawn N. Ommerborn, Mark J. Karnes, Jason H. Klimentidis, Yann C. Jordan, Christina D. Hiatt, Robert A. Ramirez, Andrea H. Loperena, Roxana Mayo, Kelsey Cohn, Elizabeth Ohno-Machado, Lucila Boerwinkle, Eric Cicek, Mine Schully, Sheri D. Mockrin, Stephen Gebo, Kelly A. Karlson, Elizabeth W. |
author_facet | Clark, Cheryl R. Chandler, Paulette D. Zhou, Guohai Noel, Nyia Achilike, Confidence Mendez, Lizette O’Connor, George T. Smoller, Jordan W. Weiss, Scott T. Murphy, Shawn N. Ommerborn, Mark J. Karnes, Jason H. Klimentidis, Yann C. Jordan, Christina D. Hiatt, Robert A. Ramirez, Andrea H. Loperena, Roxana Mayo, Kelsey Cohn, Elizabeth Ohno-Machado, Lucila Boerwinkle, Eric Cicek, Mine Schully, Sheri D. Mockrin, Stephen Gebo, Kelly A. Karlson, Elizabeth W. |
author_sort | Clark, Cheryl R. |
collection | PubMed |
description | 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: To 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(2)): 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. |
format | Online Article Text |
id | pubmed-8718125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-87181252022-01-11 Geographic Variation in Obesity at the State Level in the All of Us Research Program Clark, Cheryl R. Chandler, Paulette D. Zhou, Guohai Noel, Nyia Achilike, Confidence Mendez, Lizette O’Connor, George T. Smoller, Jordan W. Weiss, Scott T. Murphy, Shawn N. Ommerborn, Mark J. Karnes, Jason H. Klimentidis, Yann C. Jordan, Christina D. Hiatt, Robert A. Ramirez, Andrea H. Loperena, Roxana Mayo, Kelsey Cohn, Elizabeth Ohno-Machado, Lucila Boerwinkle, Eric Cicek, Mine Schully, Sheri D. Mockrin, Stephen Gebo, Kelly A. Karlson, Elizabeth W. Prev Chronic Dis Original Research 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: To 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(2)): 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. Centers for Disease Control and Prevention 2021-12-23 /pmc/articles/PMC8718125/ /pubmed/34941480 http://dx.doi.org/10.5888/pcd18.210094 Text en https://creativecommons.org/licenses/by/4.0/Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Clark, Cheryl R. Chandler, Paulette D. Zhou, Guohai Noel, Nyia Achilike, Confidence Mendez, Lizette O’Connor, George T. Smoller, Jordan W. Weiss, Scott T. Murphy, Shawn N. Ommerborn, Mark J. Karnes, Jason H. Klimentidis, Yann C. Jordan, Christina D. Hiatt, Robert A. Ramirez, Andrea H. Loperena, Roxana Mayo, Kelsey Cohn, Elizabeth Ohno-Machado, Lucila Boerwinkle, Eric Cicek, Mine Schully, Sheri D. Mockrin, Stephen Gebo, Kelly A. Karlson, Elizabeth W. Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title | Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title_full | Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title_fullStr | Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title_full_unstemmed | Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title_short | Geographic Variation in Obesity at the State Level in the All of Us Research Program |
title_sort | geographic variation in obesity at the state level in the all of us research program |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718125/ https://www.ncbi.nlm.nih.gov/pubmed/34941480 http://dx.doi.org/10.5888/pcd18.210094 |
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