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Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis
COVID-19 has imposed a very substantial direct threat to the physical health of those infected, although the corollary impact on mental health may be even more burdensome. Here we focus on assessing the mental health impact of COVID-19 and of other epidemics in the community. We searched five electr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110635/ https://www.ncbi.nlm.nih.gov/pubmed/35581186 http://dx.doi.org/10.1038/s41398-022-01946-6 |
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author | Leung, Candi M. C. Ho, Margaret K. Bharwani, Alina A. Cogo-Moreira, Hugo Wang, Yishan Chow, Mathew S. C. Fan, Xiaoyan Galea, Sandro Leung, Gabriel M. Ni, Michael Y. |
author_facet | Leung, Candi M. C. Ho, Margaret K. Bharwani, Alina A. Cogo-Moreira, Hugo Wang, Yishan Chow, Mathew S. C. Fan, Xiaoyan Galea, Sandro Leung, Gabriel M. Ni, Michael Y. |
author_sort | Leung, Candi M. C. |
collection | PubMed |
description | COVID-19 has imposed a very substantial direct threat to the physical health of those infected, although the corollary impact on mental health may be even more burdensome. Here we focus on assessing the mental health impact of COVID-19 and of other epidemics in the community. We searched five electronic databases until December 9, 2020, for all peer-reviewed original studies reporting any prevalence or correlates of mental disorders in the general population following novel epidemics in English, Chinese or Portuguese. We synthesised prevalence estimates from probability samples during COVID-19 and past epidemics. The meta-analytical effect size was the prevalence of relevant outcomes, estimated via random-effects model. I(2) statistics, Doi plots and the LFK index were used to examine heterogeneity and publication bias. This study is pre-registered with PROSPERO, CRD42020179105. We identified 255 eligible studies from 50 countries on: COVID-19 (n = 247 studies), severe acute respiratory syndrome (SARS; n = 5), Ebola virus disease (n = 2), and 1918 influenza (n = 1). During COVID-19, we estimated the point prevalence for probable anxiety (20.7%, 95% CI 12.9–29.7), probable depression (18.1%, 13.0–23.9), and psychological distress (13.0%, 0–34.1). Correlates for poorer mental health include female sex, lower income, pre-existing medical conditions, perceived risk of infection, exhibiting COVID-19-like symptoms, social media use, financial stress, and loneliness. Public trust in authorities, availability of accurate information, adoption of preventive measures and social support were associated with less morbidity. The mental health consequences of COVID-19 and other epidemics could be comparable to major disasters and armed conflicts. The considerable heterogeneity in our analysis indicates that more random samples are needed. Health-care professionals should be vigilant of the psychological toll of epidemics, including among those who have not been infected. |
format | Online Article Text |
id | pubmed-9110635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91106352022-05-17 Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis Leung, Candi M. C. Ho, Margaret K. Bharwani, Alina A. Cogo-Moreira, Hugo Wang, Yishan Chow, Mathew S. C. Fan, Xiaoyan Galea, Sandro Leung, Gabriel M. Ni, Michael Y. Transl Psychiatry Systematic Review COVID-19 has imposed a very substantial direct threat to the physical health of those infected, although the corollary impact on mental health may be even more burdensome. Here we focus on assessing the mental health impact of COVID-19 and of other epidemics in the community. We searched five electronic databases until December 9, 2020, for all peer-reviewed original studies reporting any prevalence or correlates of mental disorders in the general population following novel epidemics in English, Chinese or Portuguese. We synthesised prevalence estimates from probability samples during COVID-19 and past epidemics. The meta-analytical effect size was the prevalence of relevant outcomes, estimated via random-effects model. I(2) statistics, Doi plots and the LFK index were used to examine heterogeneity and publication bias. This study is pre-registered with PROSPERO, CRD42020179105. We identified 255 eligible studies from 50 countries on: COVID-19 (n = 247 studies), severe acute respiratory syndrome (SARS; n = 5), Ebola virus disease (n = 2), and 1918 influenza (n = 1). During COVID-19, we estimated the point prevalence for probable anxiety (20.7%, 95% CI 12.9–29.7), probable depression (18.1%, 13.0–23.9), and psychological distress (13.0%, 0–34.1). Correlates for poorer mental health include female sex, lower income, pre-existing medical conditions, perceived risk of infection, exhibiting COVID-19-like symptoms, social media use, financial stress, and loneliness. Public trust in authorities, availability of accurate information, adoption of preventive measures and social support were associated with less morbidity. The mental health consequences of COVID-19 and other epidemics could be comparable to major disasters and armed conflicts. The considerable heterogeneity in our analysis indicates that more random samples are needed. Health-care professionals should be vigilant of the psychological toll of epidemics, including among those who have not been infected. Nature Publishing Group UK 2022-05-17 /pmc/articles/PMC9110635/ /pubmed/35581186 http://dx.doi.org/10.1038/s41398-022-01946-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Systematic Review Leung, Candi M. C. Ho, Margaret K. Bharwani, Alina A. Cogo-Moreira, Hugo Wang, Yishan Chow, Mathew S. C. Fan, Xiaoyan Galea, Sandro Leung, Gabriel M. Ni, Michael Y. Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title | Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title_full | Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title_fullStr | Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title_full_unstemmed | Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title_short | Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis |
title_sort | mental disorders following covid-19 and other epidemics: a systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110635/ https://www.ncbi.nlm.nih.gov/pubmed/35581186 http://dx.doi.org/10.1038/s41398-022-01946-6 |
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