Evidence map›Paper›PMID 33854906›Full record

ArticlePreventive medicine reports2021

A national examination of neighborhood socio-economic disparities in built environment correlates of youth physical activity.

Marissa M Shams-White, Heather D'Angelo, Lilian G Perez, Laura A Dwyer, David G Stinchcomb, April Y Oh

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Inequalities in Environmental Cancer Risk and Carcinogen Exposures: A Scoping Review.International journal of environmental research and public health · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marissa M Shams-WhiteRisk Factor Assessment Branch, Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, United States.
Heather D'AngeloCarbone Cancer Center, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI 53792, United States.
Lilian G PerezBehavioral & Policy Sciences Department, RAND Corporation, Santa Monica, CA 90401, United States.
Laura A DwyerOffice of the Associate Director, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, United States.
David G StinchcombPublic Health and Epidemiology Practice, Westat Inc, Rockville, MD 20850, United States.
April Y OhHealth Communication and Informatics Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda MD 20892, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescents in the U.S. do not meet current physical activity guidelines. Ecological models of physical activity posit that factors across multiple levels may support physical activity by promoting walkability, such as the neighborhood built environment and neighborhood socioeconomic status (nSES). We examined associations between neighborhood built environment factors and adolescent moderate-to-vigorous physical activity (MVPA), and whether nSES moderated associations. Data were drawn from a national sample of adolescents (12-17 years, N = 1295) surveyed in 2014. MVPA (minutes/week) were estimated from self-report validated by accelerometer data. Adolescents' home addresses were geocoded and linked to Census data from which a nSES Index and home neighborhood factors were derived using factor analysis (high density, older homes, short auto commutes). Multiple linear regression models examined associations between neighborhood factors and MVPA, and tested interactions between quintiles of nSES and each neighborhood factor, adjusting for socio-demographics. Living in higher density neighborhoods (B(SE): 9.22 (2.78), p = 0.001) and neighborhoods with more older homes (4.42 (1.85), p = 0.02) were positively associated with adolescent MVPA. Living in neighborhoods with shorter commute times was negatively associated with MVPA (-5.11 (2.34), p = 0.03). Positive associations were found between MVPA and the high density and older homes neighborhood factors, though associations were not consistent across quintiles. In conclusion, living in neighborhoods with walkable attributes was associated with greater adolescent MVPA, though the effects were not distributed equally across nSES. Adolescents living in lower SES neighborhoods may benefit more from physical activity interventions and environmental supports that provide opportunities to be active beyond neighborhood walkability.

Indexed as

AdolescentsBMI, body mass indexBuilt environmentFLASHE Study, Family Life, Activity, Sun, Health, and Eating StudyGED, General Educational DevelopmentMVPA, moderate to vigorous physical activityNCES, National Center for Education StatisticsNCI, National Cancer InstituteNeighborhood factorsNeighborhood socioeconomic statusnSES, neighborhood socioeconomic statusPCA, principal component analysisPhysical activitySES, socioeconomic statusSE, standard errorTEAN, Teen Environment and NeighborhoodWalkabilityYAP, Youth Activity Profile

Identifiers

PMID33854906
PMCPMC8024702

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.