Evidence map›Paper›PMID 42616067›Full record

ArticleSocial psychiatry and psychiatric epidemiology2026

Exploring the association between social exclusion and mental health problems.

Michelle Arellano Spano, David P Osborn, Naomi Launders, James B Kirkbride, Jennifer Dykxhoorn

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Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michelle Arellano SpanoUCL Division of Psychiatry, 4th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK. m.spano@ucl.ac.uk.ORCID http://orcid.org/0000-0001-7100-7099
David P OsbornUCL Division of Psychiatry, 4th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
Naomi LaundersUCL Division of Psychiatry, 4th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
James B KirkbrideUCL Division of Psychiatry, 4th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.
Jennifer DykxhoornUCL Division of Psychiatry, 4th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.

Funding

UK Research and Innovation funding for the Population Mental Health consortium MR/Y030788/1
6 · The paper itself

Abstract

purposeSocial exclusion encompasses multiple domains, material, digital, relational, political, and structural. These may have different impacts on an individual's mental health. We evaluated associations between domains of social exclusion and mental health problems in a sample of English adults.

methodsUsing data from Understanding Society, we analysed social exclusion exposures and mental health outcomes at Wave 11 (2019-21) among 34,403 adults. We generated standardised domain scores and an overall social exclusion measure using principal component analysis. Mental health was assessed using the General Health Questionnaire (GHQ-12) continuous symptom scores (range 0-36). We used survey-weighted linear regression models adjusted for age, sex, and ethnicity.

resultsEach standard deviation increase in overall social exclusion was associated with 1.28-point increase in GHQ-12 symptoms (95% CI: 1.11,1.44). Domain-specific analyses showed the strongest associations for material exclusion ([Formula: see text]=1.34, 95% CI: 1.20,1.47) and relational exclusion ([Formula: see text]=1.37, 95% CI:1.09,1.65). Digital, political, and structural exclusion showed smaller positive associations ([Formula: see text]=0.15 to 0.37). Associations did not differ by sex and remained robust when examining mental health caseness as a binary outcome.

conclusionSocial exclusion was associated with worse mental health, with strongest effects for relational and material domains. Policies targeting these domains may have the largest impact on population mental health.

Indexed as

Health InequalitiesMental health problemsPrincipal Component AnalysisPublic HealthSocial exclusionUnderstanding Society

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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.