Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population.
Identifieur interne : 000006 ( Main/Corpus ); précédent : 000005; suivant : 000007Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population.
Auteurs : Matthias Pierce ; Holly Hope ; Tamsin Ford ; Stephani Hatch ; Matthew Hotopf ; Ann John ; Evangelos Kontopantelis ; Roger Webb ; Simon Wessely ; Sally Mcmanus ; Kathryn M. AbelSource :
- The lancet. Psychiatry [ 2215-0374 ] ; 2020.
Abstract
BACKGROUND
The potential impact of the COVID-19 pandemic on population mental health is of increasing global concern. We examine changes in adult mental health in the UK population before and during the lockdown.
METHODS
In this secondary analysis of a national, longitudinal cohort study, households that took part in Waves 8 or 9 of the UK Household Longitudinal Study (UKHLS) panel, including all members aged 16 or older in April, 2020, were invited to complete the COVID-19 web survey on April 23-30, 2020. Participants who were unable to make an informed decision as a result of incapacity, or who had unknown postal addresses or addresses abroad were excluded. Mental health was assessed using the 12-item General Health Questionnaire (GHQ-12). Repeated cross-sectional analyses were done to examine temporal trends. Fixed-effects regression models were fitted to identify within-person change compared with preceding trends.
FINDINGS
Waves 6-9 of the UKHLS had 53 351 participants. Eligible participants for the COVID-19 web survey were from households that took part in Waves 8 or 9, and 17 452 (41·2%) of 42 330 eligible people participated in the web survey. Population prevalence of clinically significant levels of mental distress rose from 18·9% (95% CI 17·8-20·0) in 2018-19 to 27·3% (26·3-28·2) in April, 2020, one month into UK lockdown. Mean GHQ-12 score also increased over this time, from 11·5 (95% CI 11·3-11·6) in 2018-19, to 12·6 (12·5-12·8) in April, 2020. This was 0·48 (95% CI 0·07-0·90) points higher than expected when accounting for previous upward trends between 2014 and 2018. Comparing GHQ-12 scores within individuals, adjusting for time trends and significant predictors of change, increases were greatest in 18-24-year-olds (2·69 points, 95% CI 1·89-3·48), 25-34-year-olds (1·57, 0·96-2·18), women (0·92, 0·50-1·35), and people living with young children (1·45, 0·79-2·12). People employed before the pandemic also averaged a notable increase in GHQ-12 score (0·63, 95% CI 0·20-1·06).
INTERPRETATION
By late April, 2020, mental health in the UK had deteriorated compared with pre-COVID-19 trends. Policies emphasising the needs of women, young people, and those with preschool aged children are likely to play an important part in preventing future mental illness.
FUNDING
None.
DOI: 10.1016/S2215-0366(20)30308-4
PubMed: 32707037
Links to Exploration step
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<affiliation><nlm:affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK. Electronic address: matthias.pierce@manchester.ac.uk.</nlm:affiliation>
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<author><name sortKey="Hope, Holly" sort="Hope, Holly" uniqKey="Hope H" first="Holly" last="Hope">Holly Hope</name>
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<author><name sortKey="Ford, Tamsin" sort="Ford, Tamsin" uniqKey="Ford T" first="Tamsin" last="Ford">Tamsin Ford</name>
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<author><name sortKey="Hatch, Stephani" sort="Hatch, Stephani" uniqKey="Hatch S" first="Stephani" last="Hatch">Stephani Hatch</name>
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<author><name sortKey="Hotopf, Matthew" sort="Hotopf, Matthew" uniqKey="Hotopf M" first="Matthew" last="Hotopf">Matthew Hotopf</name>
<affiliation><nlm:affiliation>Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London.</nlm:affiliation>
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<author><name sortKey="John, Ann" sort="John, Ann" uniqKey="John A" first="Ann" last="John">Ann John</name>
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<author><name sortKey="Kontopantelis, Evangelos" sort="Kontopantelis, Evangelos" uniqKey="Kontopantelis E" first="Evangelos" last="Kontopantelis">Evangelos Kontopantelis</name>
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<author><name sortKey="Wessely, Simon" sort="Wessely, Simon" uniqKey="Wessely S" first="Simon" last="Wessely">Simon Wessely</name>
<affiliation><nlm:affiliation>Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.</nlm:affiliation>
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<author><name sortKey="Mcmanus, Sally" sort="Mcmanus, Sally" uniqKey="Mcmanus S" first="Sally" last="Mcmanus">Sally Mcmanus</name>
<affiliation><nlm:affiliation>National Centre for Social Research, London, UK; School of Health Sciences, City, University of London, London, UK.</nlm:affiliation>
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<author><name sortKey="Abel, Kathryn M" sort="Abel, Kathryn M" uniqKey="Abel K" first="Kathryn M" last="Abel">Kathryn M. Abel</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population.</title>
<author><name sortKey="Pierce, Matthias" sort="Pierce, Matthias" uniqKey="Pierce M" first="Matthias" last="Pierce">Matthias Pierce</name>
<affiliation><nlm:affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK. Electronic address: matthias.pierce@manchester.ac.uk.</nlm:affiliation>
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<author><name sortKey="Hope, Holly" sort="Hope, Holly" uniqKey="Hope H" first="Holly" last="Hope">Holly Hope</name>
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<author><name sortKey="Ford, Tamsin" sort="Ford, Tamsin" uniqKey="Ford T" first="Tamsin" last="Ford">Tamsin Ford</name>
<affiliation><nlm:affiliation>Department of Psychiatry, University of Cambridge, Cambridge, UK.</nlm:affiliation>
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<author><name sortKey="Hatch, Stephani" sort="Hatch, Stephani" uniqKey="Hatch S" first="Stephani" last="Hatch">Stephani Hatch</name>
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</affiliation>
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<author><name sortKey="Hotopf, Matthew" sort="Hotopf, Matthew" uniqKey="Hotopf M" first="Matthew" last="Hotopf">Matthew Hotopf</name>
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</affiliation>
</author>
<author><name sortKey="John, Ann" sort="John, Ann" uniqKey="John A" first="Ann" last="John">Ann John</name>
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<author><name sortKey="Kontopantelis, Evangelos" sort="Kontopantelis, Evangelos" uniqKey="Kontopantelis E" first="Evangelos" last="Kontopantelis">Evangelos Kontopantelis</name>
<affiliation><nlm:affiliation>Division of Informatics, University of Manchester, Manchester, UK.</nlm:affiliation>
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<author><name sortKey="Webb, Roger" sort="Webb, Roger" uniqKey="Webb R" first="Roger" last="Webb">Roger Webb</name>
<affiliation><nlm:affiliation>Division of Psychology and Mental Health, University of Manchester, Manchester, UK; Faculty of Biology, Medicine and Health Sciences, and National Institute for Health Research Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, UK.</nlm:affiliation>
</affiliation>
</author>
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<author><name sortKey="Mcmanus, Sally" sort="Mcmanus, Sally" uniqKey="Mcmanus S" first="Sally" last="Mcmanus">Sally Mcmanus</name>
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<author><name sortKey="Abel, Kathryn M" sort="Abel, Kathryn M" uniqKey="Abel K" first="Kathryn M" last="Abel">Kathryn M. Abel</name>
<affiliation><nlm:affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK; Greater Manchester Mental Health Trust, Manchester, UK.</nlm:affiliation>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>The potential impact of the COVID-19 pandemic on population mental health is of increasing global concern. We examine changes in adult mental health in the UK population before and during the lockdown.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>In this secondary analysis of a national, longitudinal cohort study, households that took part in Waves 8 or 9 of the UK Household Longitudinal Study (UKHLS) panel, including all members aged 16 or older in April, 2020, were invited to complete the COVID-19 web survey on April 23-30, 2020. Participants who were unable to make an informed decision as a result of incapacity, or who had unknown postal addresses or addresses abroad were excluded. Mental health was assessed using the 12-item General Health Questionnaire (GHQ-12). Repeated cross-sectional analyses were done to examine temporal trends. Fixed-effects regression models were fitted to identify within-person change compared with preceding trends.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>FINDINGS</b>
</p>
<p>Waves 6-9 of the UKHLS had 53 351 participants. Eligible participants for the COVID-19 web survey were from households that took part in Waves 8 or 9, and 17 452 (41·2%) of 42 330 eligible people participated in the web survey. Population prevalence of clinically significant levels of mental distress rose from 18·9% (95% CI 17·8-20·0) in 2018-19 to 27·3% (26·3-28·2) in April, 2020, one month into UK lockdown. Mean GHQ-12 score also increased over this time, from 11·5 (95% CI 11·3-11·6) in 2018-19, to 12·6 (12·5-12·8) in April, 2020. This was 0·48 (95% CI 0·07-0·90) points higher than expected when accounting for previous upward trends between 2014 and 2018. Comparing GHQ-12 scores within individuals, adjusting for time trends and significant predictors of change, increases were greatest in 18-24-year-olds (2·69 points, 95% CI 1·89-3·48), 25-34-year-olds (1·57, 0·96-2·18), women (0·92, 0·50-1·35), and people living with young children (1·45, 0·79-2·12). People employed before the pandemic also averaged a notable increase in GHQ-12 score (0·63, 95% CI 0·20-1·06).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>INTERPRETATION</b>
</p>
<p>By late April, 2020, mental health in the UK had deteriorated compared with pre-COVID-19 trends. Policies emphasising the needs of women, young people, and those with preschool aged children are likely to play an important part in preventing future mental illness.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>FUNDING</b>
</p>
<p>None.</p>
</div>
</front>
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<ArticleTitle>Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population.</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The potential impact of the COVID-19 pandemic on population mental health is of increasing global concern. We examine changes in adult mental health in the UK population before and during the lockdown.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">In this secondary analysis of a national, longitudinal cohort study, households that took part in Waves 8 or 9 of the UK Household Longitudinal Study (UKHLS) panel, including all members aged 16 or older in April, 2020, were invited to complete the COVID-19 web survey on April 23-30, 2020. Participants who were unable to make an informed decision as a result of incapacity, or who had unknown postal addresses or addresses abroad were excluded. Mental health was assessed using the 12-item General Health Questionnaire (GHQ-12). Repeated cross-sectional analyses were done to examine temporal trends. Fixed-effects regression models were fitted to identify within-person change compared with preceding trends.</AbstractText>
<AbstractText Label="FINDINGS" NlmCategory="RESULTS">Waves 6-9 of the UKHLS had 53 351 participants. Eligible participants for the COVID-19 web survey were from households that took part in Waves 8 or 9, and 17 452 (41·2%) of 42 330 eligible people participated in the web survey. Population prevalence of clinically significant levels of mental distress rose from 18·9% (95% CI 17·8-20·0) in 2018-19 to 27·3% (26·3-28·2) in April, 2020, one month into UK lockdown. Mean GHQ-12 score also increased over this time, from 11·5 (95% CI 11·3-11·6) in 2018-19, to 12·6 (12·5-12·8) in April, 2020. This was 0·48 (95% CI 0·07-0·90) points higher than expected when accounting for previous upward trends between 2014 and 2018. Comparing GHQ-12 scores within individuals, adjusting for time trends and significant predictors of change, increases were greatest in 18-24-year-olds (2·69 points, 95% CI 1·89-3·48), 25-34-year-olds (1·57, 0·96-2·18), women (0·92, 0·50-1·35), and people living with young children (1·45, 0·79-2·12). People employed before the pandemic also averaged a notable increase in GHQ-12 score (0·63, 95% CI 0·20-1·06).</AbstractText>
<AbstractText Label="INTERPRETATION" NlmCategory="CONCLUSIONS">By late April, 2020, mental health in the UK had deteriorated compared with pre-COVID-19 trends. Policies emphasising the needs of women, young people, and those with preschool aged children are likely to play an important part in preventing future mental illness.</AbstractText>
<AbstractText Label="FUNDING" NlmCategory="BACKGROUND">None.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pierce</LastName>
<ForeName>Matthias</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK. Electronic address: matthias.pierce@manchester.ac.uk.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hope</LastName>
<ForeName>Holly</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ford</LastName>
<ForeName>Tamsin</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Department of Psychiatry, University of Cambridge, Cambridge, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hatch</LastName>
<ForeName>Stephani</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; ESRC Centre for Society and Mental Health, King's College London, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hotopf</LastName>
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<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>John</LastName>
<ForeName>Ann</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Population Data Science, Swansea University Medical School, Swansea University, Swansea, UK.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Kontopantelis</LastName>
<ForeName>Evangelos</ForeName>
<Initials>E</Initials>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Webb</LastName>
<ForeName>Roger</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Division of Psychology and Mental Health, University of Manchester, Manchester, UK; Faculty of Biology, Medicine and Health Sciences, and National Institute for Health Research Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, UK.</Affiliation>
</AffiliationInfo>
</Author>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>McManus</LastName>
<ForeName>Sally</ForeName>
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<AffiliationInfo><Affiliation>National Centre for Social Research, London, UK; School of Health Sciences, City, University of London, London, UK.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Abel</LastName>
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<AffiliationInfo><Affiliation>Centre for Women's Mental Health, University of Manchester, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, Manchester, UK; Greater Manchester Mental Health Trust, Manchester, UK.</Affiliation>
</AffiliationInfo>
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