Evidence map›Paper›PMID 41245780›Full record

ArticleSSM - population health2025

Is objectively measured exposure to built and natural environment associated with population-level cardiovascular disease mortality in Great Britain?

Laura Macdonald, Natalie Nicholls, Fiona Caryl, Jonathan R Olsen, Daniela Fecht, Richard Mitchell

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A Geospatial Linkage Analysis of Environmental Exposures, Socioeconomic Profile and Health Outcomes Among Women of Reproductive Age in Victoria, Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    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.

Laura MacdonaldMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Natalie NichollsMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Fiona CarylMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Jonathan R OlsenInstitute for Social Science Research, The University of Queensland, Australia.
Daniela FechtSmall Area Health Statistics Unit (SAHSU), MRC Centre for Environment and Health, Imperial College London, UK.
Richard MitchellMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) causes one-third of global mortality, with modifiable risk factors such as unhealthy diet, sedentary behaviour, tobacco/alcohol use contributing to 80 % of CVD deaths. The built environment (BE) can influence CVD risk indirectly by shaping health behaviours and directly through environmental exposures like air pollution. While research has established connections between isolated environmental features and CVD, this study addresses significant research gaps in understanding how multiple BE characteristics influence CVD mortality across socioeconomic contexts, aiming to inform neighbourhood design to reduce both CVD and inequalities. Methods: We modelled, for small areas across GB, tree cover, air pollution, walkability, densities of health-detrimental amenities ('bads') (e.g. fast-food outlets) and health-promoting amenities ('goods') (e.g. gyms), and income deprivation. Generalised linear models were used to assess associations between small area features and (sex-stratified) age-standardised CVD mortality rates (i.e. ICD-10 codes I00-I99), controlling for deprivation, urban-rural, country, and local authority. Combined models (i.e. models mutually adjusted for all BE features) identified the unique contribution of each feature while accounting for those that 'co-located'. Interaction analysis was performed to examine variations by income deprivation. Results: A slight increase in CVD mortality risk was associated with greater 'goods' densities (female mortality ratio (MR):1.005 (CIs:1.003-1.007), p < 0.001, male MR:1.005 (CIs:1.003-1.006), p < 0.001), and higher air pollution (female MR:1.006 (CIs:1.003-1.009), p < 0.001, male MR:1.008 (CIs:1.005-1.009), p < 0.001). A slight decrease in CVD mortality was associated with higher walkability for females (MR:0.996 (CIs:0.992-0.999), p = 0.034) and tree cover for males (MR:0.999 (CIs:0.998-0.999), p = 0.007). Higher air pollution levels and 'bads' were associated with higher male CVD mortality in deprived areas. Conclusion: Findings have clear policy implications, suggesting prioritisation of reductions in air pollution-particularly in deprived areas-while promoting walkability and tree cover to reduce health inequalities. Unexpected positive associations between 'goods' and mortality highlight that complex neighbourhood effects warrant further study.

Indexed as

Air pollutionCardiovascular diseaseDeprivationGeographic information systemsMortalityTree cover

Identifiers

PMID41245780
PMCPMC12615347

What Socratic 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 Socratic graph.