Anxiety, depression, traumatic stress and COVID-19-related anxiety in the UK general population during the COVID-19 pandemic.

COVID-19 pandemic UK general population survey anxiety depression traumatic stress

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
19 Oct 2020
Historique:
entrez: 19 10 2020
pubmed: 20 10 2020
medline: 20 10 2020
Statut: epublish

Résumé

The COVID-19 pandemic has created an unprecedented global crisis, necessitating drastic changes to living conditions, social life, personal freedom and economic activity. No study has yet examined the presence of psychiatric symptoms in the UK population under similar conditions. We investigated the prevalence of COVID-19-related anxiety, generalised anxiety, depression and trauma symptoms in the UK population during an early phase of the pandemic, and estimated associations with variables likely to influence these symptoms. Between 23 and 28 March 2020, a quota sample of 2025 UK adults aged 18 years and older, stratified by age, gender and household income, was recruited by online survey company Qualtrics. Participants completed standardised measures of depression, generalised anxiety and trauma symptoms relating to the pandemic. Bivariate and multivariate associations were calculated for demographic and health-related variables. Higher levels of anxiety, depression and trauma symptoms were reported compared with previous population studies, but not dramatically so. Anxiety or depression and trauma symptoms were predicted by young age, presence of children in the home, and high estimates of personal risk. Anxiety and depression were also predicted by low income, loss of income and pre-existing health conditions in self and others. Specific anxiety about COVID-19 was greater in older participants. This study showed a modest increase in the prevalence of mental health problems in the early stages of the pandemic, and these problems were predicted by several specific COVID-related variables. Further similar surveys, particularly of those with children at home, are required as the pandemic progresses.

Sections du résumé

BACKGROUND BACKGROUND
The COVID-19 pandemic has created an unprecedented global crisis, necessitating drastic changes to living conditions, social life, personal freedom and economic activity. No study has yet examined the presence of psychiatric symptoms in the UK population under similar conditions.
AIMS OBJECTIVE
We investigated the prevalence of COVID-19-related anxiety, generalised anxiety, depression and trauma symptoms in the UK population during an early phase of the pandemic, and estimated associations with variables likely to influence these symptoms.
METHOD METHODS
Between 23 and 28 March 2020, a quota sample of 2025 UK adults aged 18 years and older, stratified by age, gender and household income, was recruited by online survey company Qualtrics. Participants completed standardised measures of depression, generalised anxiety and trauma symptoms relating to the pandemic. Bivariate and multivariate associations were calculated for demographic and health-related variables.
RESULTS RESULTS
Higher levels of anxiety, depression and trauma symptoms were reported compared with previous population studies, but not dramatically so. Anxiety or depression and trauma symptoms were predicted by young age, presence of children in the home, and high estimates of personal risk. Anxiety and depression were also predicted by low income, loss of income and pre-existing health conditions in self and others. Specific anxiety about COVID-19 was greater in older participants.
CONCLUSIONS CONCLUSIONS
This study showed a modest increase in the prevalence of mental health problems in the early stages of the pandemic, and these problems were predicted by several specific COVID-related variables. Further similar surveys, particularly of those with children at home, are required as the pandemic progresses.

Identifiants

pubmed: 33070797
doi: 10.1192/bjo.2020.109
pii: S205647242000109X
pmc: PMC7573460
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e125

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Auteurs

Mark Shevlin (M)

Ulster University, Northern Ireland.

Orla McBride (O)

Ulster University, Northern Ireland.

Jamie Murphy (J)

Ulster University, Northern Ireland.

Jilly Gibson Miller (JG)

University of Sheffield, England.

Todd K Hartman (TK)

University of Sheffield, England.

Liat Levita (L)

University of Sheffield, England.

Liam Mason (L)

University College London, England.

Anton P Martinez (AP)

University of Sheffield, England.

Ryan McKay (R)

Royal Holloway, University of London, England.

Thomas V A Stocks (TVA)

University of Sheffield, England.

Kate M Bennett (KM)

Liverpool University, England.

Philip Hyland (P)

Maynooth University, Ireland.

Thanos Karatzias (T)

Edinburgh Napier University, Scotland.

Richard P Bentall (RP)

University of Sheffield and Liverpool University, England.

Classifications MeSH