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Can psychological distress account for the associations between COVID-19 vaccination acceptance and socio-economic vulnerability?

Jinxiao LianMeihong DongIrene Oi Ling WongBenjamin J CowingWendy Wing Tak LamMichael Y NiQiuyan Liao
Published in: Applied psychology. Health and well-being (2023)
Socially disadvantaged individuals and communities consistently showed lower COVID-19 vaccination acceptance. We aimed to examine the psychological mechanisms that could explain such vaccination disparities. This study used data from serial population-based surveys conducted since the COVID-19 vaccination programme being launched in Hong Kong (N = 28,734). We first assessed the correlations of community-level and individual-level social vulnerability with COVID-19 vaccination acceptance. Structural equation modelling (SEM) was then conducted to test whether psychological distress measured by PHQ-4 can account for the associations between participants' socio-economic vulnerability and COVID-19 vaccination acceptance. The third part analysis examined whether perceived negativity of vaccine-related news and affect towards COVID-19 vaccines accounted for the association between psychological distress and COVID-19 vaccination. Communities with higher social vulnerability scores and participants who had more vulnerable socio-economic status showed lower COVID-19 vaccination acceptance. Individuals with more vulnerable socio-economic status reported higher psychological distress, which lowered COVID-19 vaccination acceptance. Furthermore, higher psychological distress was associated with lower vaccination acceptance through its psychological mechanisms of processing vaccine-related information. We proposed a renewed focus on tackling psychological distress rather than merely increasing vaccine accessibility in more socio-economic-disadvantaged groups for promoting COVID-19 vaccination acceptance.
Keyphrases
  • coronavirus disease
  • sars cov
  • climate change
  • healthcare
  • sleep quality
  • respiratory syndrome coronavirus
  • mental health
  • randomized controlled trial
  • artificial intelligence
  • electronic health record
  • health insurance