Evidence map›Paper›PMID 42823591›Full record

ArticleJournal of racial and ethnic health disparities2026

Racial and Ethnic Differences in the Association Between Food and Physical Activity Environments and Adult Obesity in the United States: A Multilevel Analysis.

Ann Mary Abraham, Michael D Swartz, Alexandra E van den Berg, Stephen H Linder

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Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Ann Mary AbrahamDepartment of Management, Policy and Community Health, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA. abrahamann32@gmail.com.ORCID http://orcid.org/0009-0004-8338-2215
Michael D SwartzDepartment of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Alexandra E van den BergDepartment of Health Promotion and Behavioral Sciences, Michael & Susan Dell Center for Healthy Living, The University of Texas School of Public Health, Austin, TX, USA.
Stephen H LinderDepartment of Management, Policy and Community Health, Institute for Health Policy, The University of Texas School of Public Health, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdult obesity remains a critical public health issue in the United States, with marked disparities across racial and ethnic groups. Racially and ethnically diverse communities may experience food and physical activity environments differently, yet less is known about whether these county-level environmental associations vary by racial and ethnic composition.

methodsWe conducted a retrospective cross-sectional ecological study using multilevel modeling of data from 3,143 U.S. counties across 50 states and the District of Columbia. Variables from the closest available years (2014-2024) were harmonized into a single cross-sectional analytic dataset. County- and state-level measures of food and physical activity environment indicators were examined in relation to adult obesity prevalence, with cross-level interactions tested between racial/ethnic population composition and key environmental indicators (e.g., fast-food density, grocery access, supercenter prevalence, low-income low-access rates). Cross-level interaction models were estimated to examine whether associations between food and physical activity environment indicators and adult obesity prevalence varied by county racial and ethnic composition, including American Indian Alaska Native (AIAN), Asian, Hispanic, Non-Hispanic Pacific Islander (NHPI), Non-Hispanic Black (NHB), and Non-Hispanic White (NHW) populations.

resultsSignificant interaction patterns were observed for counties with higher Hispanic, NHB, NHPI, and NHW population composition, whereas AIAN and Asian interaction terms were not statistically significant. The association between fast-food restaurant density and adult obesity prevalence varied across counties with differing proportions of Hispanic residents. Additional significant interactions were observed between NHB population composition and grocery stores, convenience stores, and supercenters, as well as between NHPI population composition and supercenter availability and low-access, low-income households. A significant interaction involving convenience store density was also observed for NHW population composition.

conclusionsAssociations between food environments and adult obesity vary by racial and ethnic composition. Geographic, environmental, and racial/ethnic context should be incorporated into public health strategies aimed at promoting health equity and reducing obesity disparities.

Indexed as

Adult obesityFood environmentHealth equityPhysical activity environmentRacial and ethnic disparities

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.