Evidence map›Paper›PMID 41639714›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2026

The impact of public policy on socioeconomic equity in physical activity: a systematic review.

Fleur Heuvelman, Leonie Birkholz, Antonina Tcymbal, Jeroen Lakerveld, Joline W J Beulens, Catherine Woods, Karim Abu-Omar, Kevin Volf, Petru Sandu, Rasa Jankauskiene and 8 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

18 authors.

Fleur HeuvelmanDepartment of Epidemiology and Data Science, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, The Netherlands. f.heuvelman@amsterdamumc.nl.
Leonie BirkholzDepartment of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Antonina TcymbalDepartment of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Jeroen LakerveldDepartment of Epidemiology and Data Science, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, The Netherlands.
Joline W J BeulensDepartment of Epidemiology and Data Science, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, The Netherlands.
Catherine WoodsPhysical Activity for Health Research Centre, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland.
Karim Abu-OmarDepartment of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Kevin VolfPhysical Activity for Health Research Centre, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland.
Petru SanduDepartment of Public Health, University Babes-Bolyai, Cluj-Napoca-Napoca, Romania.
Rasa JankauskieneHealth Research and Innovation Science Centre, Klaipeda University, 92294, Klaipėda, Lithuania.
Anna GobisFaculty of Civil and Environmental Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233, Gdansk, Poland.
Joanna WachnickaFaculty of Civil and Environmental Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233, Gdansk, Poland.
Joanna ŻukowskaFaculty of Civil and Environmental Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233, Gdansk, Poland.
Peter GeliusUniversité de Lausanne, Institut Des Sciences du Sport, Lausanne, Switzerland.
Linda J SchoonmadeMedical Library, Vrije Universiteit Amsterdam, De Boelelaan 1117, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands.
Sven Messing *Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Nicolette R den Braver *Department of Epidemiology and Data Science, Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, The Netherlands.
IMPAQT consortium

Funding

ERA4Health 101095426
6 · The paper itself

Abstract

backgroundIncreasing population-level physical activity (PA) requires system-level policy action. However, public policies targeting the general population, without addressing socially disadvantaged populations, might unintentionally increase socioeconomic inequities in PA. This is particularly concerning since disadvantaged groups are less likely to meet PA recommendations to begin with. This systematic review assesses evidence on the effects of public policies on equity in PA.

methodsA literature search was performed in seven bibliographic databases on May 7, 2024, in collaboration with a librarian. Studies were included if they a) focused on changes in PA behaviour, PA proxies, or the PA environment as outcomes, b) examined public policy as the independent variable, and c) included a low socioeconomic status (SES) (sub)population. Screening was done in duplicate. Key data extracted included: public policy information, target population and/or SES subgroup measures, PA outcomes, and equity-related findings. Policies were grouped into domains aligned with the eight investments of the International Society for Physical Activity and Health and categorized based on their impact on inequities: reduction, increase, no effect, or mixed effects.

resultsOut of 10,350 records screened, 81 studies were included. Results showed that 27% of the public policies reduced inequities, 38% had no effect, 10% increased them, and 25% had mixed effects. The fewest PA policies were identified in the healthcare (n = 2) and workplace (n = 0) domains, the most in the community-wide domain (n = 22). Based on the available evidence, the school, transport, community-wide, and mass media policy domains most frequently demonstrated potential to reduce inequities in PA and/or to benefit high and low SES populations equally. Policies that most consistently reduced inequities or had a neutral equity effect included a) infrastructure policies, b) financial incentives supporting active transport, c) multi-component school-based PA and health policy programmes, d) school physical education policies, and e) policies supporting mass media campaigns. Conversely, urban design and sport for all policies varied in their effects on inequities.

conclusionsMost policies do not appear to exacerbate inequities. Policies in the school, transport, community-wide, and mass media domains show particular promise for promoting PA in an equitable way. These findings offer valuable insights for future policymaking.

Indexed as

ExercisePublic PolicyHealth PolicyHealth PromotionHumansLow Socioeconomic StatusSocial ClassSocioeconomic Disparities in HealthSocioeconomic FactorsEquityPhysical activityPolicyReview

Identifiers

PMID41639714
PMCPMC12964968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.