COVID-19 risk perceptions and depressive symptoms in South Africa: Causal evidence in a longitudinal and nationally representative sample

J Affect Disord. 2022 Jul 1:308:616-622. doi: 10.1016/j.jad.2022.04.072. Epub 2022 Apr 14.

Abstract

Background: Studies worldwide have highlighted the acute and long-term depressive impacts of psychosocial stressors due to the 2019 coronavirus disease (COVID-19) pandemic, particularly in low- and middle-income countries. Among the wide range of risk factors for depression that transpired during pandemic, greater perceptions of individual vulnerability to the COVID-19 have emerged as a major predictor of increased depressive risk and severity in adults.

Methods: We estimated the extent to which COVID-19 risk perceptions affected adult depressive symptoms in a longitudinal, nationally representative sample in South Africa. We used covariate balanced propensity scores to minimize the bias from treatment assignment to estimate average causal effects of COVID-19 risk perceptions.

Results: The point prevalence of perceived COVID-19 infection risk increased between the third and fifth months of the pandemic, which corresponded with elevations in national COVID-19 infection rates. Approximately 33% of adults met or surpassed the PHQ-2 cut-off score of 2. An increase in perceived risk of COVID-19 infection predicted worse depressive symptoms in adults four months later.

Conclusions: Our findings highlight the widespread mental health burdens of the COVID-19 pandemic and emphasize the importance of greater psychological resources and structural changes to promote equitable access to COVID-19 risk mitigation policies.

Keywords: COVID-19; Causal inference; Depression; Risk perceptions; South Africa.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • COVID-19* / epidemiology
  • Depression / epidemiology
  • Disease Susceptibility
  • Humans
  • Pandemics*
  • SARS-CoV-2
  • South Africa / epidemiology