Evidence map›Paper›PMID 39801010›Full record

ArticleBJPsych open2025

The mental health impact of repeated COVID-19 enforced lockdowns in England: evidence from the UK Household Longitudinal Study.

Rashpal K Dhensa-Kahlon, Siu Tim Wan, Jacqueline A-M Coyle-Shapiro, Kevin Rui-Han Teoh

Abstract read
In one paragraph

Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

4 authors.

Rashpal K Dhensa-KahlonSchool of Psychological Sciences, Birkbeck, University of London, London, UK.ORCID https://orcid.org/0000-0003-1371-9340
Siu Tim WanAston Medical School, Aston University, Birmingham, UK.
Jacqueline A-M Coyle-ShapiroDepartment of Management, London School of Economics & Political Science, London, UK; and Department of Management, California State University, San Bernardino, California, USA.
Kevin Rui-Han TeohBirkbeck Business School, Birkbeck, University of London, London, UK.ORCID https://orcid.org/0000-0002-6490-8208

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundResearch shows initial COVID-19 lockdowns increased population mental distress. Yet, the mental health impact of repeated lockdowns in England remains unknown.

aimsTo: (a) explore changes in population mental health symptoms over the COVID-19 pandemic period (March 2020 to March 2021) in England, comparing this with trends from a decade before (2009-2019) as well as after (2021-2023); (b) compare the mental health impact of each of the three lockdowns in England with periods of eased restrictions, determining who was most affected; (c) examine the impact of demographics and distinct time periods on the prevalence of mental health symptoms.

methodA secondary analysis of a national longitudinal cohort study, utilising data from Waves 1-13 of the UK Household Longitudinal Study and from Waves 1-9 of the COVID-19 Survey. Mental health was assessed using the 12-item General Health Questionnaire. Student

resultsThere was a significant increase in the prevalence of self-reported symptoms of mental health during England's pandemic period, encompassing three lockdowns, compared with the average of rates from 10 years before. Rates of reported mental health symptoms were not significantly different across each lockdown, but were significantly higher than pre-pandemic rates, declining with eased restrictions. Rates from the end of lockdown to May 2023 revealed elevated mental health symptoms compared with pre-pandemic. Elevated symptoms were observed for women, people homeworking, those with health conditions, individuals aged 30-45 years and those experiencing loneliness.

conclusionRepeated lockdowns in England had a substantial impact on mental health, indicating requirements for ongoing mental health support.

Indexed as

COVID-19Englandlockdownsmental healthUKHLS

Identifiers

PMID39801010
PMCPMC11733484

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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.