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Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis
Background: Covid-19 has started to spread within China since the end of December 2019. Despite government’s immediate actions and strict control, more and more people were infected every day. As such a contagious virus can spread easily and rapidly between people, the whole country was put into loc...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343383/ https://www.ncbi.nlm.nih.gov/pubmed/32642822 http://dx.doi.org/10.1007/s11126-020-09796-5 |
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author | Ren, Xin Huang, Wanli Pan, Huiping Huang, Tingting Wang, Xinwei Ma, Yongchun |
author_facet | Ren, Xin Huang, Wanli Pan, Huiping Huang, Tingting Wang, Xinwei Ma, Yongchun |
author_sort | Ren, Xin |
collection | PubMed |
description | Background: Covid-19 has started to spread within China since the end of December 2019. Despite government’s immediate actions and strict control, more and more people were infected every day. As such a contagious virus can spread easily and rapidly between people, the whole country was put into lockdown and people were forced into isolation. In order to understand the impact of Covid-19 on mental health well-being, Chinese researchers have conducted several studies. However, no consistent results were obtained. Therefore, a meta-analysis was conducted. Methods: We searched Embase, PubMed, and Web of Science databases to find literature from December 2019 to April 2020 related to Covid-19 and mental health, among which results such as comments, letters, reviews and case reports were excluded. The incidence of anxiety and depression in the population was synthesized and discussed. Results: A total of 27,475 subjects were included in 12 studies. Random effect model is used to account for the data. The results showed that the incidence of anxiety was 25% (95% CI: 0.19–0.32), and the incidence of depression was 28% (95% CI: 0.17–0.38). Significant heterogeneity was detected across studies regarding these incidence estimates. Subgroup analysis included the study population and assessment tools, and sensitivity analysis was done to explore the sources of heterogeneity. Conclusions: Owing to the significant heterogeneity detected in studies regarding this pooled prevalence of anxiety and depression, we must interpret the results with caution. As the epidemic is ongoing, it is vital to set up a comprehensive crisis prevention system, which integrating epidemiological monitoring, screening and psychological crisis prevention and interventions. |
format | Online Article Text |
id | pubmed-7343383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-73433832020-07-09 Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis Ren, Xin Huang, Wanli Pan, Huiping Huang, Tingting Wang, Xinwei Ma, Yongchun Psychiatr Q Review Article Background: Covid-19 has started to spread within China since the end of December 2019. Despite government’s immediate actions and strict control, more and more people were infected every day. As such a contagious virus can spread easily and rapidly between people, the whole country was put into lockdown and people were forced into isolation. In order to understand the impact of Covid-19 on mental health well-being, Chinese researchers have conducted several studies. However, no consistent results were obtained. Therefore, a meta-analysis was conducted. Methods: We searched Embase, PubMed, and Web of Science databases to find literature from December 2019 to April 2020 related to Covid-19 and mental health, among which results such as comments, letters, reviews and case reports were excluded. The incidence of anxiety and depression in the population was synthesized and discussed. Results: A total of 27,475 subjects were included in 12 studies. Random effect model is used to account for the data. The results showed that the incidence of anxiety was 25% (95% CI: 0.19–0.32), and the incidence of depression was 28% (95% CI: 0.17–0.38). Significant heterogeneity was detected across studies regarding these incidence estimates. Subgroup analysis included the study population and assessment tools, and sensitivity analysis was done to explore the sources of heterogeneity. Conclusions: Owing to the significant heterogeneity detected in studies regarding this pooled prevalence of anxiety and depression, we must interpret the results with caution. As the epidemic is ongoing, it is vital to set up a comprehensive crisis prevention system, which integrating epidemiological monitoring, screening and psychological crisis prevention and interventions. Springer US 2020-07-08 2020 /pmc/articles/PMC7343383/ /pubmed/32642822 http://dx.doi.org/10.1007/s11126-020-09796-5 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Article Ren, Xin Huang, Wanli Pan, Huiping Huang, Tingting Wang, Xinwei Ma, Yongchun Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title | Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title_full | Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title_fullStr | Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title_full_unstemmed | Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title_short | Mental Health During the Covid-19 Outbreak in China: a Meta-Analysis |
title_sort | mental health during the covid-19 outbreak in china: a meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343383/ https://www.ncbi.nlm.nih.gov/pubmed/32642822 http://dx.doi.org/10.1007/s11126-020-09796-5 |
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