Salanti, Georgia; Peter, Natalie Luise; Tonia, Thomy; Holloway, Alexander; Darwish, Leila; Kessler, Ronald C; White, Ian; Vigod, Simone N; Egger, Matthias; Haas, Andreas D; Fazel, Seena; Herrman, Helen; Kieling, Christian; Patel, Vikram; Li, Tianjing; Cuijpers, Pim; Cipriani, Andrea; Furukawa, Toshi A; Leucht, Stefan (2024). Changes in the prevalence of mental health problems during the first year of the pandemic: a systematic review and dose-response meta-analysis. BMJ mental health, 27(1), e301018. BMJ 10.1136/bmjment-2024-301018
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AIM
To describe the pattern of the prevalence of mental health problems during the first year of the COVID-19 pandemic and examine the impact of containment measures on these trends.
METHODS
We identified articles published until 30 August 2021 that reported the prevalence of mental health problems in the general population at two or more time points. A crowd of 114 reviewers extracted data on prevalence, study and participant characteristics. We collected information on the number of days since the first SARS-CoV-2 infection in the study country, the stringency of containment measures and the number of cases and deaths. We synthesised changes in prevalence during the pandemic using a random-effects model. We used dose-response meta-analysis to evaluate the trajectory of the changes in mental health problems.
RESULTS
We included 41 studies for 7 mental health conditions. The average odds of symptoms increased during the pandemic (mean OR ranging from 1.23 to 2.08). Heterogeneity was very large and could not be explained by differences in participants or study characteristics. Average odds of psychological distress, depression and anxiety increased during the first 2 months of the pandemic, with increased stringency of the measures, reported infections and deaths. The confidence in the evidence was low to very low.
CONCLUSIONS
We observed an initial increase in the average risk of psychological distress, depression-related and anxiety-related problems during the first 2 months of the pandemic. However, large heterogeneity suggests that different populations had different responses to the challenges imposed by the pandemic.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM) |
UniBE Contributor: |
Salanti, Georgia, Tonia, Thomai, Holloway, Alexander Patrick, Egger, Matthias, Haas, Andreas |
Subjects: |
600 Technology > 610 Medicine & health 300 Social sciences, sociology & anthropology > 360 Social problems & social services |
ISSN: |
2755-9734 |
Publisher: |
BMJ |
Funders: |
[4] Swiss National Science Foundation |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
19 Jun 2024 13:50 |
Last Modified: |
20 Jun 2024 16:04 |
Publisher DOI: |
10.1136/bmjment-2024-301018 |
PubMed ID: |
38876492 |
Uncontrolled Keywords: |
COVID-19 Data Interpretation, Statistical Depression |
BORIS DOI: |
10.48350/197857 |
URI: |
https://boris.unibe.ch/id/eprint/197857 |