AI Article Synopsis

  • The study tests a social cognition model to predict social distancing behaviors during COVID-19, focusing on maintaining distance and avoiding public places.
  • Participants from the U.S. and Canada completed online surveys assessing various psychological factors like attitudes and perceived risks associated with COVID-19.
  • Findings indicate that intentions to distance were influenced by attitudes, norms, perceived control, and emotional responses, highlighting the model's effectiveness for understanding and improving social distancing behaviors.

Article Abstract

To test an integrated social cognition model predicting two forms of social distancing behavior (maintaining distance and avoiding going out in public) during COVID-19. Participants from the U.S. (Sample 1,  = 433) and Canada (Sample 2,  = 239) completed online measures, reflecting the theory of planned behavior (attitudes, norms, perceived control, intention), COVID-19-specific risk, anticipated regret, fear of catching COVID-19, and perceived capacity related to using technology to connect with others. Self-reported behavior was collected from the U.S. sample at 6-month follow-up. Intention to maintain distance and avoid going out predicted behavior within the U.S. sample. For both samples, intention was predicted by attitudes, subjective norms and perceived behavioral control. Perceived severity of COVID-19, anticipated inaction regret, and fear of catching COVID-19 predicted intention to maintain distance and avoid going out across both samples. Finally, within the U.S. sample, significant indirect effects were present for perceived behavioral control predicting future maintaining distance and avoiding going out via intention to engage in these behaviors. The integrated social cognition model predicts social distancing intentions and long-term social distancing behaviors. Hazard-specific risk and affect were relevant determinants added to the models. Potential avenues for intervention research are described.Supplemental data for this article is available online at https://doi.org/10.1080/08870446.2021.2023746 .

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http://dx.doi.org/10.1080/08870446.2021.2023746DOI Listing

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