Evidence map›Paper›PMID 41710075›Full record

ArticleBMJ public health2026

Investigating health-related barriers to green space use, chronic health conditions and sociodemographic characteristics: a structural equation modelling approach.

Hannah Burnett, Jonathan R Olsen, Sarah E Rodgers, Richard Mitchell

Abstract read
In one paragraph

Article in BMJ public health, 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

4 authors.

Hannah BurnettPublic Health, Policy and Systems, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0001-5710-3180
Jonathan R OlsenInstitute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-5356-8615
Sarah E RodgersPublic Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Richard MitchellMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Using green space improves health and well-being. However, there are many barriers to green space use, including poor health. Evidence is lacking on how health-related barriers to green space differ by chronic health condition. This study investigates health-related barriers to green space use, chronic health conditions and sociodemographic characteristics. Methods: We assessed health-related barriers to green space use using Natural England's People and Nature Survey. Data from 5 months of the nationally representative survey of English adults (aged 16+) were used (n=10 415), collected during November 2020-March 2021. To assess relationships between reporting of health-related barriers to using green space, an individual's chronic health conditions and sociodemographic characteristics, structural equation modelling was used (n=201). Results: Respondents with progressive illnesses or physical disabilities had a higher likelihood of reporting multiple (four) health-related barriers as important compared with respondents with arthritis or diabetes (both had no barriers that they were more likely to report). For example, respondents with physical disabilities (32%) and progressive illnesses (31%) had an increased likelihood of reporting lack of disabled facilities as an important barrier to using green space compared with those with other conditions. Those with progressive illnesses (34%) had a particularly higher likelihood of reporting having no one to go with/help as an important barrier to using green space (p=0.001). Both physical health-related (eg, fatigue) and place-based (eg, poorly maintained sites) factors are barriers to green space use for individuals reporting a chronic condition. Conclusions: The results suggest that those with physical disabilities and progressive illnesses would benefit most from reducing place-based and support barriers, such as a lack of disabled facilities and no one to go with/help. By improving the suitability of green spaces using this evidence, barriers to green space would be reduced for all users, which may improve the quality of the space.

Indexed as

Cross-Sectional StudiesPublic HealthSociodemographic Factorsstatistics and numerical data

Identifiers

PMID41710075
PMCPMC12911733

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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.