Evidence map›Paper›PMID 42498453›Full record

ArticleBMJ mental health2026

Impact of 15 years of social, political and economic shocks on population mental health in the UK: a longitudinal, Bayesian quasi-experimental analysis.

Annie Jeffery, Connor Gascoigne, Ioannis Rotous, Xuewen Yu, Sara Geneletti, Gianluca Baio, Marta Blangiardo, James B Kirkbride

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Article in BMJ mental 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Annie JefferyDivision of Psychiatry, UCL, London, UK annie.jeffery@ucl.ac.uk.ORCID http://orcid.org/0000-0001-6218-0711
Connor GascoigneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Ioannis RotousDepartment of Statistical Science, University College London, London, UK.
Xuewen YuDepartment of Statistics, LSE, London, UK.
Sara GenelettiDepartment of Statistics, LSE, London, UK.
Gianluca BaioDepartment of Statistical Science, University College London, London, UK.
Marta BlangiardoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
James B KirkbrideDivision of Psychiatry, UCL, London, UK.ORCID http://orcid.org/0000-0003-3401-0824

Funding

Wellcome TrustWellcome Trust 222499/Z/21/Z
6 · The paper itself

Abstract

backgroundMental health in the UK has worsened over the last 15 years, a period marked by major systemic shocks.

objectiveWe investigated annual changes in population-level psychological distress and the impact of five systemic shocks: the referendum on European Union membership (Brexit), two COVID-19 lockdowns, Russia's invasion of Ukraine and the UK Government's 2022 'mini-budget'.

methodsWe used longitudinal survey data from the UK Household Longitudinal Study, including 87 857 between years 2009 and 2024. We used Bayesian time series models to evaluate annual changes in psychological distress and the association with each shock, including subgroup analyses by age group, sex, ethnicity, deprivation quintile and employment status. OUTCOMES: We found evidence of increasing psychological distress from 2009 to 2023 (+1.085 point increase in 12-item General Health Questionnaire scores; credible interval (CrI) 0.987 to 1.184). In interrupted time series models, we observed increased psychological distress immediately after the Brexit referendum (+0.117, CrI 0.029 to 0.205) and the first COVID-19 lockdown (+0.649; CrI 0.531 to 0.767), with more insidious monthly increases in psychological distress after the Russian invasion of Ukraine (+0.010, CrI 0.004 to 0.023) and the 2022 mini-budget (+0.015, CrI 0.005 to 0.034). We found considerable sociodemographic variation by age, sex, ethnicity, deprivation and employment status.

conclusionsWe found that some systemic shocks had detrimental effects on population mental health in the UK, being most pronounced for the Brexit referendum and first COVID-19 lockdown. CLINICAL IMPLICATIONS: Our results demonstrate that population mental health can change in response to systemic shocks. This should inform the design of responsive clinical and public mental health provision.

Indexed as

COVID-19Mental HealthPoliticsPsychological DistressStress, PsychologicalAdultBayes TheoremFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited KingdomMental HealthSocial SciencesSocioeconomic Factors

Identifiers

PMID42498453
PMCPMC13404486

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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.