Evidence map›Paper›PMID 41957802›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2026

Socioeconomic inequalities in exposure to neighbourhood environments for physical activity: a systematic review.

Jet D S van de Geest, Valeria-C Cuenca, Linda J Schoonmade, Luis Cereijo, Diana J Mora, Paul Meijer, Jeroen Lakerveld

Abstract readSystematic Review
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jet D S van de GeestDepartment of Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, 1081HV, the Netherlands. j.d.s.vandegeest@amsterdamumc.nl.
Valeria-C CuencaPublic Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
Linda J SchoonmadeUniversity Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Luis CereijoPublic Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
Diana J MoraPublic Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
Paul MeijerDepartment of Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, 1081HV, the Netherlands.
Jeroen LakerveldDepartment of Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, 1081HV, the Netherlands.

Funding

European Commission 101080250
6 · The paper itself

Abstract

backgroundInsufficient physical activity (PA) is a major behavioural determinant of obesity and other noncommunicable diseases. Although the health benefits of PA are well established, many populations, particularly socioeconomically disadvantaged groups, remain insufficiently active. Neighbourhood characteristics play an important role in shaping population physical activity (PA) levels, for example through walkable streets, bikeable infrastructures, playgrounds, green- and blue spaces, and sport facilities. However, PA-supportive environments may be unequally distributed across SEP groups. This systematic review provides a comprehensive synthesis of evidence on socioeconomic inequalities in neighbourhood environments that promote PA across different life stages in high-income countries.

methodsIn February 2024, we systematically searched Medline, Embase, Web of Science Core Collection, and Scopus. Eligible studies were quantitative primary research examining objective measures of neighbourhood PA-promoting environments alongside at least one individual- or area-level socioeconomic indicator. Titles and abstracts were screened with ASReview, and full texts were screened manually in duplicate. Data were extracted with a predefined form, and risk of bias was assessed with an adapted version of the AXIS tool. We synthesised our findings narratively and by reported proportions of associations indicating disadvantaged exposure, advantaged exposure, or no statistically significant difference for people with lower SEP.

resultsA total of 250 studies were included. Overall, people with lower SEP were more likely to live in areas with (components of) walkable and bikeable infrastructure, and to have playgrounds nearby, but less likely to have access to formal sports facilities. For other PA-promoting environments, findings were largely null. Patterns varied across age groups, study regions, statistical approaches, and SEP indicators.

conclusionsPopulations with lower SEP were more exposed to walkability components, bikeability, and playgrounds, but less exposed to sports facilities. For most other environments, no clear differences were found. Socioeconomic inequalities in exposure to PA environments are nuanced rather than uniform. This complexity highlights the need to consider multiple environmental features together and to tailor equity-focused interventions to local contexts.

Indexed as

Environment DesignExerciseNeighborhood CharacteristicsSocioeconomic Disparities in HealthHumansLow Socioeconomic StatusSocioeconomic FactorsExposomeHealth inequalitiesPhysical activity environmentSocioeconomic inequalitiesSocioeconomic positionSpatial epidemiology

Identifiers

PMID41957802
PMCPMC13231669

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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.