Evidence map›Paper›PMID 41276325›Full record

ArticleJournal of epidemiology and community health2026

Industrial legacies: a population survey study of mental health disparities across generations in post-coal Wales.

Christopher W N Saville

Abstract read
In one paragraph

Article in Journal of epidemiology and community 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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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

1 author.

Christopher W N SavilleSchool of Psychology, Bangor University, Bangor, UK c.saville@bangor.ac.uk.ORCID http://orcid.org/0000-0003-4870-7630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFuture economic transitions have the potential to replicate historical patterns of deindustrialisation. It is important to understand the health consequences of deindustrialisation to help us prevent the long-term health legacies we see in postindustrial communities. This paper presents the case of mental health on the Welsh coalfields as an example of how these health legacies can manifest.

methodsData on 180 462 respondents to the Welsh Health Survey between 2003 and 2015 and 57 331 respondents to the National Survey for Wales between 2016 and 2023 were linked to spatial data on historical coal mining activity at the middle super output area level. Linear mixed-effects models were fitted to self-reported mental health and well-being measures as a function of local mining extent, both overall and as a function of generational cohort and sex.

resultsAn association between mining extent and mental health was found in both datasets, with residents of areas with greater mining extent reporting worse mental health. This association was strongest in generations who lived through the decline of the mining industry. There was a stronger association for women than men in the older Welsh Health Survey, but moderation by gender was not replicated in the newer National Survey for Wales.

conclusionThe study underscores the enduring mental health legacy of deindustrialisation and how it is patterned by geography, generation and sex. The health consequences should be an important consideration for industrial policy and attempts to mitigate the effects of future deindustrialisation.

Indexed as

Coal MiningHealth Status DisparitiesMental HealthAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedWalesGEOGRAPHYMENTAL HEALTHPUBLIC HEALTHSOCIAL CLASS

Identifiers

PMID41276325
PMCPMC13018842

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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.