The association between climate change attitudes and COVID-19 attitudes: The link is more than political ideology✰,✰✰,★.

Journal: The Journal Of Climate Change And Health
Published:
Abstract

The COVID-19 pandemic and climate change are two current global threats. This study examined the relationship between climate change attitudes and COVID-19 behaviors and risk perceptions. Drivers of climate change attitudes and COVID-19 behaviors were also assessed. Study participants were an online sample of 520 respondents from a longitudinal study of COVID-19 and well-being in the US. Logistic regression models were used to examine the outcomes of climate change opinions and COVID-19 perceptions and prevention behaviors (perceived COVID-19 risk, mask wearing, social distancing, and vaccine intentions). Covariates included political ideology, conspiracy beliefs, and trust in scientific information about COVID-19. In the multivariable models of COVID-19 perceptions and prevention behaviors, climate change opinions were also included as a covariate. In these models, climate change attitudes were significantly associated with perceived risk of COVID-19, always wearing masks, decreased time spent with others due to COVID-19, and intention to get a COVID-19 vaccine. In adjusted models, the odds of wearing a mask increased 41% (CI: 1.11-1.78) for every 1-point increase on the climate attitude scale and decreased 13% (CI: 0.79-0.96) if the participant distrusted COVID-19 information. Those who reported distrust of COVID-19 information (aOR: 1.61, CI: 1.40-1.85), politically conservative ideology (aOR: 1.24, CI: 1.04-1.47), lower concern about climate change (aOR: 0.71, CI: 0.53-0.97), female sex (aOR: 2.39 CI: 1.38-4.13), and lower disbelief in conspiracy theories (aOR: 0.63, CI: 0.51-0.80) had higher odds of not intending to be vaccinated. These findings suggest that climate change attitudes are linked to COVID-19 behaviors and perceptions, which are not completely driven by political ideology or trust in scientific information.

Authors
Carl Latkin, Lauren Dayton, Catelyn Coyle, Grace Yi, Abigail Winiker, Danielle German
Relevant Conditions

COVID-19