Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses

Background: Mental health burden has been massively reported during the COVID-19 pandemic period. Aiming to summarise these data, we present a meta-review of meta-analyses that evaluated the impact of COVID-19 pandemic on anxiety, depressive and stress symptoms, psychological distress, post-traumati...

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Main Authors: Geovan Menezes de Sousa, Vagner Deuel de Oliveira Tavares, Maria Lara Porpino de Meiroz Grilo, Monique Leite Galvão Coelho, Geissy Lainny de Lima-Araújo, Felipe Barreto Schuch, Nicole Leite Galvão-Coelho
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.703838/full
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author Geovan Menezes de Sousa
Geovan Menezes de Sousa
Vagner Deuel de Oliveira Tavares
Vagner Deuel de Oliveira Tavares
Maria Lara Porpino de Meiroz Grilo
Maria Lara Porpino de Meiroz Grilo
Monique Leite Galvão Coelho
Geissy Lainny de Lima-Araújo
Geissy Lainny de Lima-Araújo
Felipe Barreto Schuch
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
spellingShingle Geovan Menezes de Sousa
Geovan Menezes de Sousa
Vagner Deuel de Oliveira Tavares
Vagner Deuel de Oliveira Tavares
Maria Lara Porpino de Meiroz Grilo
Maria Lara Porpino de Meiroz Grilo
Monique Leite Galvão Coelho
Geissy Lainny de Lima-Araújo
Geissy Lainny de Lima-Araújo
Felipe Barreto Schuch
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
Frontiers in Psychology
COVID-19
anxiety
depression
healthcare worker
general public
author_facet Geovan Menezes de Sousa
Geovan Menezes de Sousa
Vagner Deuel de Oliveira Tavares
Vagner Deuel de Oliveira Tavares
Maria Lara Porpino de Meiroz Grilo
Maria Lara Porpino de Meiroz Grilo
Monique Leite Galvão Coelho
Geissy Lainny de Lima-Araújo
Geissy Lainny de Lima-Araújo
Felipe Barreto Schuch
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
Nicole Leite Galvão-Coelho
author_sort Geovan Menezes de Sousa
title Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
title_short Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
title_full Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
title_fullStr Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
title_full_unstemmed Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses
title_sort mental health in covid-19 pandemic: a meta-review of prevalence meta-analyses
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2021-09-01
description Background: Mental health burden has been massively reported during the COVID-19 pandemic period. Aiming to summarise these data, we present a meta-review of meta-analyses that evaluated the impact of COVID-19 pandemic on anxiety, depressive and stress symptoms, psychological distress, post-traumatic stress disorder/symptoms (PTSD), and sleep disturbance, reporting its prevalence on general public (GP) and health care workers (HCW).Methods: A search was performed in the PubMed, EMBASE, and the Web of Science. Sleep disturbances, psychological distress, stress, and burnout were grouped as “Psychophysiological stress,” and anxiety, depression, and PTSD were grouped as “Psychopathology.” A random-effects model, calculating the pooled prevalence together with 95% confidence interval was performed for each domain. Subgroup analyses were performed for each population type (GP and HCW) and for each mental health outcome. For anxiety and depression, subgroup analysis for population type was performed. Heterogeneity is reported as I2. Publication bias was assessed through visual inspection of the funnel plot, and further tested by Egger's test and trim and fill analyses.Results: A total of 18 meta-analyses were included. The prevalence of psychophysiological stress was 31.99% (CI: 26.88–37.58, I2 = 99.9%). HCW showed a higher prevalence (37.74%, CI: 33.26–42.45, I2 = 99.7%) than the GP (20.67%, 15.07–27.66, I2 = 99.9%). The overall prevalence of insomnia, psychological distress, and stress were, respectively, 32.34% (CI: 25.65–39.84), 28.25% (CI: 18.12–41.20), and 36% (CI: 29.31–43.54). Psychopathology was present at 26.45% (CI: 24.22–28.79, I2 = 99.9%) of the sample, with similar estimates for population (HCW 26.14%, CI: 23.37–29.12, I2 = 99.9%; GP: 26.99%, CI: 23.41–30.9, I2 = 99.9%). The prevalence of anxiety, depression, and PTSD was 27.77% (CI: 24.47–31.32), 26.93% (CI: 23.92–30.17), and 20% (CI: 15.54–24.37), respectively. Similar proportions between populations were found for anxiety (HCW = 27.5%, CI: 23.78–31.55; GP = 28.33%, CI: 22.1–35.5) and depression (HCW = 27.05%, CI: 23.14–31.36; GP = 26.7%, CI: 22.32–31.59). Asymmetry in the funnel plot was found, and a slight increase in the estimate of overall psychopathology (29.08%, CI: 26.42–31.89) was found after the trim and fill analysis.Conclusions: The prevalence of mental health problems ranged from 20 to 36%. HCW presented a higher prevalence of psychophysiological stress than the general population.Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=252221, identifier: CRD42021252221.
topic COVID-19
anxiety
depression
healthcare worker
general public
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.703838/full
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spelling doaj-601c654eac3e42e8a7d1baf5bce25aa52021-09-21T06:08:07ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-09-011210.3389/fpsyg.2021.703838703838Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-AnalysesGeovan Menezes de Sousa0Geovan Menezes de Sousa1Vagner Deuel de Oliveira Tavares2Vagner Deuel de Oliveira Tavares3Maria Lara Porpino de Meiroz Grilo4Maria Lara Porpino de Meiroz Grilo5Monique Leite Galvão Coelho6Geissy Lainny de Lima-Araújo7Geissy Lainny de Lima-Araújo8Felipe Barreto Schuch9Nicole Leite Galvão-Coelho10Nicole Leite Galvão-Coelho11Nicole Leite Galvão-Coelho12Nicole Leite Galvão-Coelho13Laboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilGraduate Program in Psychobiology and Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilLaboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilGraduate Program in Psychobiology and Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilLaboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilGraduate Program in Psychobiology and Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilLaboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilLaboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilBrain Institute, Federal University of Rio Grande Do Norte, Natal, BrazilDepartment of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, BrazilLaboratory of Hormone Measurement, Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilGraduate Program in Psychobiology and Department of Physiology and Behaviour, Federal University of Rio Grande Do Norte, Natal, BrazilNational Science and Technology Institute for Translational Medicine (INCT-TM), São Paulo, BrazilNICM Health Research Institute, Western Sydney University, Westmead, NSW, AustraliaBackground: Mental health burden has been massively reported during the COVID-19 pandemic period. Aiming to summarise these data, we present a meta-review of meta-analyses that evaluated the impact of COVID-19 pandemic on anxiety, depressive and stress symptoms, psychological distress, post-traumatic stress disorder/symptoms (PTSD), and sleep disturbance, reporting its prevalence on general public (GP) and health care workers (HCW).Methods: A search was performed in the PubMed, EMBASE, and the Web of Science. Sleep disturbances, psychological distress, stress, and burnout were grouped as “Psychophysiological stress,” and anxiety, depression, and PTSD were grouped as “Psychopathology.” A random-effects model, calculating the pooled prevalence together with 95% confidence interval was performed for each domain. Subgroup analyses were performed for each population type (GP and HCW) and for each mental health outcome. For anxiety and depression, subgroup analysis for population type was performed. Heterogeneity is reported as I2. Publication bias was assessed through visual inspection of the funnel plot, and further tested by Egger's test and trim and fill analyses.Results: A total of 18 meta-analyses were included. The prevalence of psychophysiological stress was 31.99% (CI: 26.88–37.58, I2 = 99.9%). HCW showed a higher prevalence (37.74%, CI: 33.26–42.45, I2 = 99.7%) than the GP (20.67%, 15.07–27.66, I2 = 99.9%). The overall prevalence of insomnia, psychological distress, and stress were, respectively, 32.34% (CI: 25.65–39.84), 28.25% (CI: 18.12–41.20), and 36% (CI: 29.31–43.54). Psychopathology was present at 26.45% (CI: 24.22–28.79, I2 = 99.9%) of the sample, with similar estimates for population (HCW 26.14%, CI: 23.37–29.12, I2 = 99.9%; GP: 26.99%, CI: 23.41–30.9, I2 = 99.9%). The prevalence of anxiety, depression, and PTSD was 27.77% (CI: 24.47–31.32), 26.93% (CI: 23.92–30.17), and 20% (CI: 15.54–24.37), respectively. Similar proportions between populations were found for anxiety (HCW = 27.5%, CI: 23.78–31.55; GP = 28.33%, CI: 22.1–35.5) and depression (HCW = 27.05%, CI: 23.14–31.36; GP = 26.7%, CI: 22.32–31.59). Asymmetry in the funnel plot was found, and a slight increase in the estimate of overall psychopathology (29.08%, CI: 26.42–31.89) was found after the trim and fill analysis.Conclusions: The prevalence of mental health problems ranged from 20 to 36%. HCW presented a higher prevalence of psychophysiological stress than the general population.Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=252221, identifier: CRD42021252221.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.703838/fullCOVID-19anxietydepressionhealthcare workergeneral public