Evidence map›Paper›PMID 41690602›Full record

ArticlePreventive medicine2026

A cross-sectional analysis of disparities in neighborhood physical activity environments across the urban-rural Spectrum in the contiguous United States.

Ning Xiong, Neng Wan, Ming Wen

Abstract read
In one paragraph

Article in Preventive medicine, 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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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ning XiongSchool of Environment, Society and Sustainability, University of Utah, 260 S Central Campus Dr. Salt Lake City, UT 84112, USA. Electronic address: ning.xiong@utah.edu.
Neng WanSchool of Environment, Society and Sustainability, University of Utah, 260 S Central Campus Dr. Salt Lake City, UT 84112, USA. Electronic address: neng.wan@utah.edu.
Ming WenDepartment of Sociology, The University of Hong Kong, Hong Kong SAR, China; Research Hub of Population Studies, The University of Hong Kong, Hong Kong SAR, China; Department of Sociology, University of Utah, Salt Lake City, UT, USA. Electronic address: mingwen@hku.hk.

Funding

Using Momentary Measures to Understand Physical Activity Adoption and Maintenance among Pacific Islanders in the United StatesR37CA276365 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Neng Wan · 2023 to 2026
$2.6M
NCI NIH HHS R37 CA276365
6 · The paper itself

Abstract

objectivesNeighborhood physical activity environments (PAEs), including built, facility, natural, and civic environments, support active living but are inequitably distributed. We examined racial/ethnic and socioeconomic disparities in PAEs and described variations by urbanicity.

methodsWe used population-weighted multivariable ordinary least squares regression with urbanicity and county fixed effects (2018; 69,889 contiguous United States census tracts) to estimate associations between standardized PAE indicators across four dimensions (built, facilities, natural, social) and categorical racial/ethnic composition and neighborhood poverty. Sensitivity analyses compared models with and without county fixed effects and weighting; urbanicity-stratified models examined variations.

resultsNon-Hispanic Black and Hispanic tracts had lower land-use mix (β = -0.53; -0.31), fewer fitness centers (β = -0.51; -0.60), lower green space (β = -0.08; -0.33), and higher pollution (β = 0.18; 0.38) than non-Hispanic White tracts. High-poverty tracts had greater road and intersection density (β = 0.29; 0.36), fewer fitness centers (β = -0.15), lower green space (β = -0.23), and lower civic engagement (β = -0.97). Their 95% confidence intervals excluded 0. Associations were generally larger in urban and suburban areas. County fixed effects reversed walkability advantages for non-Hispanic Black tracts.

conclusionsFindings underscore the need for equitable environmental investment that supports active living.

Indexed as

ExerciseNeighborhood CharacteristicsResidence CharacteristicsRural PopulationUrban PopulationBlack or African AmericanBuilt EnvironmentCross-Sectional StudiesEnvironment DesignHispanic or LatinoHumansPovertySocioeconomic Disparities in HealthUnited StatesWhiteEnvironmental justiceNeighborhood disparityPhysical activity environmentsRacial disparitySocioeconomic disparitiesUrban–rural differences

Identifiers

PMID41690602
PMCPMC13222506

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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.