Public mental health problems during COVID-19 pandemic: a large-scale meta-analysis of the evidence.

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  • Additional Information
    • Source:
      Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN: 2158-3188 (Electronic) Linking ISSN: 21583188 NLM ISO Abbreviation: Transl Psychiatry Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : Nature Pub. Group
    • Subject Terms:
    • Abstract:
      The coronavirus disease 2019 (COVID-19) pandemic has exposed humans to the highest physical and mental risks. Thus, it is becoming a priority to probe the mental health problems experienced during the pandemic in different populations. We performed a meta-analysis to clarify the prevalence of postpandemic mental health problems. Seventy-one published papers (n = 146,139) from China, the United States, Japan, India, and Turkey were eligible to be included in the data pool. These papers reported results for Chinese, Japanese, Italian, American, Turkish, Indian, Spanish, Greek, and Singaporean populations. The results demonstrated a total prevalence of anxiety symptoms of 32.60% (95% confidence interval (CI): 29.10-36.30) during the COVID-19 pandemic. For depression, a prevalence of 27.60% (95% CI: 24.00-31.60) was found. Further, insomnia was found to have a prevalence of 30.30% (95% CI: 24.60-36.60). Of the total study population, 16.70% (95% CI: 8.90-29.20) experienced post-traumatic stress disorder (PTSD) symptoms during the COVID-19 pandemic. Subgroup analysis revealed the highest prevalence of anxiety (63.90%) and depression (55.40%) in confirmed and suspected patients compared with other cohorts. Notably, the prevalence of each symptom in other countries was higher than that in China. Finally, the prevalence of each mental problem differed depending on the measurement tools used. In conclusion, this study revealed the prevalence of mental problems during the COVID-19 pandemic by using a fairly large-scale sample and further clarified that the heterogeneous results for these mental health problems may be due to the nonstandardized use of psychometric tools.
      (© 2021. The Author(s).)
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    • Publication Date:
      Date Created: 20210710 Date Completed: 20210714 Latest Revision: 20231107
    • Publication Date:
      20240628
    • Accession Number:
      PMC8266633
    • Accession Number:
      10.1038/s41398-021-01501-9
    • Accession Number:
      34244469