Evidence map›Paper›PMID 38737142›Full record

ArticleSSM - population health2024

Changes in the prevalence of perceived discrimination and associations with probable mental health problems in the UK from 2015 to 2020: A repeated cross-sectional analysis of the UK Household Longitudinal Study.

Rosanna May Maletta, Michael Daly, Laura Goodwin, Rob Noonan, I Gusti Ngurah Edi Putra, Eric Robinson

Abstract read
In one paragraph

Article in SSM - population health, 2024. 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. 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.

Rosanna May MalettaDepartment of Psychology, University of Liverpool, Liverpool, UK.
Michael DalyDepartment of Psychology, Maynooth University, Co. Kildare, Ireland.
Laura GoodwinSpectrum Centre for Mental Health Research, Division of Health Research, Lancaster University, Lancaster, UK.
Rob NoonanFaculty of Health and Wellbeing, University of Bolton, Bolton, UK.
I Gusti Ngurah Edi PutraDepartment of Psychology, University of Liverpool, Liverpool, UK.
Eric RobinsonDepartment of Psychology, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Significant social and political changes occurred in the UK between 2015 and 2020. Few studies have examined population level trends in experiencing discrimination and mental health problems during this period. Aims: To determine prevalence trends in perceived discrimination and probable mental health problems amongst UK adults during 2015-2020. Method: Repeated cross-sectional data from the UK Household Longitudinal Study was used to estimate nationally representative trends in perceived discrimination and probable mental health problems (GHQ-12; 4+ threshold) among adults between 2015/2016-2019/2020 (25,756 observations). Weighted logistic regression models with post-estimation margins commands determined changes between survey waves controlling for sociodemographic characteristics. Mediation models explored whether changes in perceived discrimination prevalence trends explained trends in probable mental health problems. Results: From 2015/2016 to 2019/2020 perceived discrimination and probable mental health problems increased significantly by 6·1% (95% CI: 3·4-8·8, Conclusions: Amongst UK adults, the prevalence of perceived discrimination and probable mental health problems increased between 2015/2016 to 2019/2020. Increases in perceived discrimination partially explained increases in probable mental health problems. National measures designed to reduce both discrimination and mental health problems have potential to make substantial improvements to public health and should be prioritised in the UK.

Indexed as

DiscriminationMental healthPrevalence trendsSocial inequalitiesUnderstanding SocietyUnited Kingdom

Identifiers

PMID38737142
PMCPMC11081791

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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.