PropertyValue
?:abstract
  • BACKGROUND: South Africa\'s national lockdown introduced serious threats to public mental health in a society where one in three individuals develops a psychiatric disorder during their life. We aimed to evaluate the mental health impacts of the COVID-19 pandemic using a mixed-methods design. METHODS: This longitudinal study drew from a preexisting sample of 957 adults living in Soweto, a major township near Johannesburg. Psychological assessments were administered across two waves between August 2019 and March 2020 and during the first 6 weeks of the lockdown (late March-early May 2020). Interviews on COVID-19 experiences were administered in the second wave. Multiple regression models examined relationships between perceived COVID-19 risk and depression. RESULTS: Full data on perceived COVID-19 risk, depression, and covariates were available in 221 adults. In total, 14.5% of adults were at risk for depression. Higher perceived COVID-19 risk predicted greater depressive symptoms (p < 0.001), particularly among adults with histories of childhood trauma, though this effect was marginally significant (p = 0.063). Adults were about two times more likely to experience significant depressive symptoms for every one unit increase in perceived COVID-19 risk (p = 0.021; 95% CI 1.10-3.39). Qualitative data identified potent experiences of anxiety, financial insecurity, fear of infection, and rumination. CONCLUSIONS: Higher perceived risk of COVID-19 infection is associated with greater depressive symptoms during the first 6 weeks of quarantine. High rates of severe mental illness and low availability of mental healthcare amidst COVID-19 emphasize the need for immediate and accessible psychological resources.
is ?:annotates of
?:creator
?:journal
  • Psychol_Med
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Evaluating the mental health impacts of the COVID-19 pandemic: perceived risk of COVID-19 infection and childhood trauma predict adult depressive symptoms in urban South Africa
?:type
?:who_covidence_id
  • #748143
?:year
  • 2020

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