PropertyValue
?:abstract
  • OBJECTIVE: . We conducted a systematic review and meta-analysis to estimate the pooled prevalence of depression, anxiety, insomnia, PTSD, and Psychological distress (PD) related to COVID-19 among affected populations. METHODS: . We searched articles in Medline, Embase, APA PsycInfo, CINAHL, Scopus, and Web of Science. Random-effects meta-analyses on the proportions of individuals with symptoms of depression, anxiety, insomnia, PTSD, and PD were generated and between-group differences for gender, healthcare workers (HCWs), and regions where studies were conducted. RESULTS: . A total of 2189 articles were screened, 136 full-text articles were assessed for eligibility. Fifty-five peer-reviewed studies met inclusion criteria for the meta-analysis (N=189,159). The prevalence of depression (k=46) was 15.97% (95%CI, 13.24-19.13). The prevalence of anxiety (k=54) was 15.15% (95%CI, 12.29-18.54). The prevalence of insomnia (k=14) was 23.87% (95%CI, 15.74-34.48). The prevalence of PTSD (k=13) was 21.94% (95%CI, 9.37-43.31). Finally, the prevalence of psychological distress (k=19) was 13.29% (95%CI, 8.80-19.57). Between-group differences were only found in HCWs (z=2.69, p < .05) who had a higher prevalence of insomnia than others. CONCLUSIONS: . Findings suggest that the short-term mental health consequences of COVID-19 are equally high across affected countries, and across gender. However, reports of insomnia are significantly higher among HCWs than the general population.
is ?:annotates of
?:creator
?:doi
?:doi
  • 10.1016/j.psychres.2020.113599
?:journal
  • Psychiatry_Res
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/385aa86421ddeab2b057ebeac524b26549d1a7c0.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7689353.xml.json
?:pmcid
?:pmid
?:pmid
  • 33285346.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • Prevalence of Symptoms of Depression, Anxiety, Insomnia, Posttraumatic Stress Disorder, and Psychological Distress among Populations Affected by the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
?:type
?:year
  • 2020-11-26

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