Evidence map›Paper›PMID 33318134›Full record

ArticleJournal of epidemiology and community health2021

Does a physical activity supportive environment ameliorate or exacerbate socioeconomic inequities in incident coronary heart disease?

Pedro Gullon, Usama Bilal, Jana A Hirsch, Andrew G Rundle, Suzanne Judd, Monika M Safford, Gina S Lovasi

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Socioeconomic inequalities in exposure to neighbourhood environments for physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2026
    Pooled it
  2. Article
  3. Article
  4. 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

7 authors.

Pedro GullonPublic Health and Epidemiology Research Group, Universidad de Alcala de Henares Facultad de Medicina y Ciencias de la Salud, Alcala de Henares, Spain pedro.gullon@edu.uah.es.ORCID http://orcid.org/0000-0002-7641-1514
Usama BilalUrban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.
Jana A HirschUrban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-3355-5558
Andrew G RundleDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Suzanne JuddDepartment of Biostatistics, University of Alabama at Birmingham College of Arts and Sciences, Birmingham, Alabama, USA.
Monika M SaffordDepartment of Medicine, Joan and Sanford I Weill Medical College of Cornell University, New York, New York, USA.
Gina S LovasiUrban Health Collaborative, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.ORCID http://orcid.org/0000-0003-2613-9599

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Understanding Cohort Effects on Stroke, VCID, and Cognition After Major Epidemiologic TransitionsR01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARY CUSHMAN, VIRGINIA J. HOWARD · 2001 to 2026
$8.8M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
The Health Consequences of Urban ScalingDP5OD026429 · OD · DREXEL UNIVERSITY · PI BILAL, USAMA · 2018 to 2022
$2.7M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
NIA NIH HHS R01 AG049970NIA NIH HHS R56 AG049970NIH HHS DP5 OD026429NINDS NIH HHS R01 NS041588NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundEfforts to reduce socioeconomic inequities in cardiovascular disease include interventions to change the built environment. We aimed to explore whether socioeconomic inequities in coronary heart disease (CHD) incidence are ameliorated or exacerbated in environments supportive of physical activity (PA).

methodsWe used data from the Reasons for Geographic and Racial Differences in Stroke study, which recruited US residents aged 45 or older between 2003 and 2007. Our analyses included participants at risk for incident CHD (n=20 808), followed until 31 December 2014. We categorised household income and treated it as ordinal: (1) US$75 000+, (2) US$35 000-US$74 000, (3) US$20 000-US$34 000 and (4) <US$20 000. We operationalised PA-supportive environments using characteristics within a 1 km residential buffer: walkable destinations density, PA facility density and proportion green land cover. We used Cox proportional hazards models to estimate the adjusted association of income with incident CHD, and tested effect modification by PA-supportive environment variables.

resultsWe found a 25% (95% CI 1.17% to 1.34%) increased hazard of CHD per 1-category decrease in household income category. Adjusting for PA-supportive environments slightly reduced this association (HR=1.24). The income-CHD association was strongest in areas without walking destinations (HR=1.57), an interaction which reached statistical significance in analyses among men. In contrast, the income-CHD association showed a trend towards being strongest in areas with the highest percentage of green land cover.

conclusionsIndicators of a PA supportive environment show divergent trends to modify socioeconomic inequities in CHD . Built environment interventions should measure the effect on socioeconomic inequities.

Indexed as

cardiovascular diseaseneighborhood/placesocio-economic

Identifiers

PMID33318134
PMCPMC8200362

What OpenQuestion holds

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Registered trials

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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.