Variation in symptoms of common mental disorders in the general population during the COVID-19 pandemic: longitudinal cohort study.

Anxiety or fear-related disorders cohort study depressive disorders epidemiology statistical methodology

Journal

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

Informations de publication

Date de publication:
12 Feb 2024
Historique:
medline: 12 2 2024
pubmed: 12 2 2024
entrez: 12 2 2024
Statut: epublish

Résumé

A significant rise in mental health disorders was expected during the COVID-19 pandemic. However, referrals to mental health services dropped for several months before rising to pre-pandemic levels. To identify trajectories of incidence and risk factors for common mental disorders among the general population during 14 months of the COVID-19 pandemic, to inform potential mental health service needs. A cohort of 33 703 adults in England in the University College London COVID-19 Social Study provided data from March 2020 to May 2021. Growth mixture modelling was used to identify trajectories based on the probability of participants reporting symptoms of depression (Patient Health Questionnaire-9) or anxiety (Generalised Anxiety Disorder-7) in the clinical range, for each month. Sociodemographic and personality-related characteristics associated with each trajectory class were explored. Five trajectory classes were identified for depression and anxiety. Participants in the largest class (62%) were very unlikely to report clinically significant symptom levels. Other trajectories represented participants with a high likelihood of clinically significant symptoms throughout, early clinically significant symptoms that reduced over time, clinically significant symptoms that emerged as the pandemic unfolded and a moderate likelihood of clinically significant symptoms throughout. Females, younger adults, carers, those with existing mental health diagnoses, those that socialised frequently pre-pandemic and those with higher neuroticism scores were more likely to experience depression or anxiety. Nearly 40% of participants followed trajectories indicating risk of clinically significant symptoms of depression or anxiety. The identified risk factors could inform public health interventions to target individuals at risk in future health emergencies.

Sections du résumé

BACKGROUND BACKGROUND
A significant rise in mental health disorders was expected during the COVID-19 pandemic. However, referrals to mental health services dropped for several months before rising to pre-pandemic levels.
AIMS OBJECTIVE
To identify trajectories of incidence and risk factors for common mental disorders among the general population during 14 months of the COVID-19 pandemic, to inform potential mental health service needs.
METHOD METHODS
A cohort of 33 703 adults in England in the University College London COVID-19 Social Study provided data from March 2020 to May 2021. Growth mixture modelling was used to identify trajectories based on the probability of participants reporting symptoms of depression (Patient Health Questionnaire-9) or anxiety (Generalised Anxiety Disorder-7) in the clinical range, for each month. Sociodemographic and personality-related characteristics associated with each trajectory class were explored.
RESULTS RESULTS
Five trajectory classes were identified for depression and anxiety. Participants in the largest class (62%) were very unlikely to report clinically significant symptom levels. Other trajectories represented participants with a high likelihood of clinically significant symptoms throughout, early clinically significant symptoms that reduced over time, clinically significant symptoms that emerged as the pandemic unfolded and a moderate likelihood of clinically significant symptoms throughout. Females, younger adults, carers, those with existing mental health diagnoses, those that socialised frequently pre-pandemic and those with higher neuroticism scores were more likely to experience depression or anxiety.
CONCLUSIONS CONCLUSIONS
Nearly 40% of participants followed trajectories indicating risk of clinically significant symptoms of depression or anxiety. The identified risk factors could inform public health interventions to target individuals at risk in future health emergencies.

Identifiants

pubmed: 38344903
doi: 10.1192/bjo.2024.2
pii: S2056472424000024
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e45

Subventions

Organisme : Wellcome Trust
ID : 205407/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 221400/Z/20/Z
Pays : United Kingdom

Auteurs

Rob Saunders (R)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, UK.

Joshua E J Buckman (JEJ)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, UK; and iCope Psychological Therapies Service, Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, UK.

Jae Won Suh (JW)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, UK.

Peter Fonagy (P)

Research Department of Clinical, Educational and Health Psychology, University College London, UK.

Stephen Pilling (S)

CORE Data Lab, Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, UK; and Camden & Islington NHS Foundation Trust, London, UK.

Feifei Bu (F)

Department of Behavioural Science and Health, University College London, UK.

Daisy Fancourt (D)

Department of Behavioural Science and Health, University College London, UK.

Classifications MeSH