Evidence map›Paper›PMID 30195100›Full record

ArticleSocial science & medicine (1982)2018

Mental health and the jilted generation: Using age-period-cohort analysis to assess differential trends in young people's mental health following the Great Recession and austerity in England.

Rachel M Thomson, Srinivasa Vittal Katikireddi

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Social science & medicine (1982), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05033210 (Prevention of Mental Health Problems Among Persons Without Personal Housing in the Context of the COVID-19 Epidemic), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 3% of its field
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.

NCT05033210 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Prevention of Mental Health Problems Among Persons Without Personal Housing in the Context of the COVID-19 Epidemic: a Randomized Controlled Trial

TypeinterventionalSponsorANRS, Emerging Infectious DiseasesRan2022 to 2023Enrolled210ConditionsPsychological Distress, Quality of Life, Psychosocial InterventionArmsPsychological First Aid (PFA), Care as Usual (CAU), Doing What Matters in Times of Stress (DWM), Problem Management Plus (PM+)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Is Austerity Responsible for the Stalled Mortality Trends Across Many High-Income Countries? A Systematic Review.International journal of social determinants of health and health services · 2024
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  6. Two paradoxes in women's well-being.Science advances · 2025
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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

2 authors at 2 institutions in 1 country.

Rachel M ThomsonMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, UK; Public Health Department, NHS Ayrshire & Arran, UK. Electronic address: Rachel.Thomson@glasgow.ac.uk.
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, UK.
MRC/CSO Social and Public Health Sciences Unit · GBNHS Ayrshire and Arran · GB

Funding

Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU13Chief Scientist Office SPHSU15Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

Those born in the United Kingdom post-1979 have been described as a 'jilted generation', materially disadvantaged by economic and social policy; however, it is unclear whether this resulted in their experiencing poorer mental health than previous cohorts. Following the 2008 recession, UK austerity reforms associated with worsening mental health also disproportionately impacted those of younger working-age. This study aimed to identify any historic cohort changes in population mental health, and whether austerity widened generational inequalities. Repeat cross-sectional data from the Health Survey for England (1991-2014) were used to calculate prevalence of psychopathology for those of younger and older working-age (16-30 and 31-64 years) and retirement-age (65+ years), measured by General Health Questionnaire-12 (GHQ) score ≥ 4 (caseness). Descriptive age-period-cohort analysis was performed for 15-year birth cohorts, including the jilted generation (born 1976-90). Logistic regression tested differences in outcome between groups. Age-specific GHQ caseness between successive birth cohorts did not significantly change for men, and significantly improved between 2.8% (95% CI 0.1%-5.5%) and 4.4% (95% CI 2.2%-6.7%) for women. Secondary analysis adjusting for education partially explained this improvement. Following the recession, GHQ caseness worsened in men of younger and older working-age by 3.7% (95% CI 1.2%-6.2%) and 3.5% (95% CI 2.1%-5.0%) respectively before returning to baseline during austerity. All women experienced non-significant increases post-recession, but trends diverged during austerity with caseness worsening by 2.3% (95% CI 1.0%-3.6%) for older working-age women versus 3.7% (95% CI 1.3%-6.2%) for younger working-age women. Those of retirement-age experienced little change throughout. In summary, mental health has historically improved between successive cohorts, including for the jilted generation. However, the 2008 recession and subsequent austerity could be most impacting those of younger working-age, particularly women, to create a new cohort effect. Policymakers should consider the differential impact economic and social policy may have across society by age.

Indexed as

Economic RecessionAdolescentAdultAgedCohort StudiesCross-Sectional StudiesEnglandFemaleHealth SurveysHumansMaleMental HealthMiddle AgedSocioeconomic FactorsYoung AdultAusterityHealth inequalitiesMental healthSocial epidemiologySocial policyUK

Identifiers

PMID30195100
PMCPMC6176124
OpenAlexW2889155937

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.