Evidence map›Paper›PMID 41585507›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2026

Neighborhood walkability and sedentary behaviors among US adults.

Yangyang Deng, Mohammad Moniruzzaman, Breanna Rogers, Jinani Jayasekera, Lu Hu, Tomoki Nakaya, Eran Ben-Joseph, David Berrigan, Charles E Matthews, Kosuke Tamura

Erratum issuedAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yangyang DengSocio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0000-0002-7152-7315
Mohammad MoniruzzamanSocio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0000-0003-2144-7111
Breanna RogersSocio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0009-0007-0543-7075
Jinani JayasekeraDecision Sciences Laboratory, Social and Behavioral Sciences Branch, National Institute on Minority Health and Health Disparities, Division of Intramural Research, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0000-0001-9212-7225
Lu HuDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Tomoki NakayaGraduate School of Environmental Studies and Graduate School of Science, Tohoku University, Miyagi, Japan.ORCID https://orcid.org/0000-0002-3827-1012
Eran Ben-JosephSchool of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, Massachusetts.
David BerriganBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, Maryland.ORCID https://orcid.org/0000-0002-5333-179X
Charles E MatthewsMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.ORCID https://orcid.org/0000-0001-8037-3103
Kosuke TamuraSocio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0000-0002-4920-2856

Funding

Socio-Spatial Determinants of Health (SSDH) ZIAMD000020 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI TAMURA, KOSUKE · 2021 to 2025
$1.0M
Health Equity and Decision SciencesZIAMD000022 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI JAYASEKERA, JINANI · 2023 to 2025
$962k
Intramural NIH HHS ZIA MD000020Intramural NIH HHS ZIA MD000022
6 · The paper itself

Abstract

Background: It remains unclear whether individuals living in more walkable neighborhoods spend less time engaging in domain-specific sedentary behaviors, which vary by certain groups. Therefore, this study aimed to examine the associations between neighborhood walkability and total and domain-specific sedentary behavior, and to explore how this relationship varied by sociodemographic factors. Methods: Participants from AmeriSpeak who completed up to two activities completed over time in 24-hours in 2019 were included. Sedentary behavior outcomes (hours/day) included: (1) total sedentary behavior and (2) domain-specific sedentary behaviors (leisure, work, household, transport, personal, and other sedentary activities). Neighborhood walkability index was classified into four groups (least walkable [referent], below average, above average, and most walkable). Weighted generalized linear regression models were used to examine the associations, adjusting for covariates. Subsequently, such associations were stratified by sociodemographic factors. Results: Compared with the least walkable neighborhoods, below average, above average, and most walkable neighborhoods were positively associated with longer total sedentary behavior time (β = 0.53, 95% confidence interval [CI] = 0.06, 1.01; β = 0.78, 95% CI = 0.29, 1.27; and β = 1.40, 95% CI = 0.75, 2.05, respectively). For domain-specific sedentary behavior, neighborhoods with below average, above average, and most walkable neighborhoods were positively related to work sedentary behavior. However, neighborhood walkability was not related to other domain-specific sedentary behaviors. Lastly, adults aged 20-39 living in more walkable neighborhoods spent longer total sedentary behavior and work-related sedentary behavior. Conclusion: Residents living in highly walkable neighborhoods engaged in more total sedentary behavior and work-related sedentary time. Future research should explore how neighborhood environments collectively influence sedentary behavior.

Indexed as

AdultsDomain-specific behaviorsSedentary timeTV viewingWalkable neighborhoods

Identifiers

PMID41585507
PMCPMC12829704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.