What drives preventative health behaviors several months into a pandemic: A replication and extension

Autor: Disabato, David, Coifman, Karin, Taber, Jennifer, Foust, Jeremy, Thompson, Clarissa, Sidney, Pooja
Rok vydání: 2023
Předmět:
DOI: 10.31219/osf.io/6ds3q
Popis: Background: We conducted a conceptual replication and extension of prior work [Citation masked] examining affective and cognitive predictors of six CDC recommended COVID-19 prevention behaviors: washing hands, cleaning surfaces, covering coughs, assessing oneself for COVID-19, wearing a face mask, and social distancing.Purpose: We tested whether fear and COVID-19 worry would replicate as the primary drivers of prevention behaviors as opposed to the more traditional cognitive predictor of COVID-19 perceived susceptibility.Methods: We recruited 741 adult participants from January to February 2021, the second major peak of the COVID-19 pandemic in the United States. Participants completed a 10-day daily diary reporting on their emotions, COVID-19 worry, COVID-19 perceived susceptibility, and prevention behaviors. Logistic mixed effects models were used to identify the strongest between-person and within-person predictors of each individual prevention behavior.Results: At the between-person level, COVID-19 worry, COVID-19 perceived susceptibility, fear, and positive emotions all had positive zero-order associations with the prevention behaviors. However, with all predictors in the same model together, only COVID-19 worry remained significant. The demographics of population density, age, and political orientation predicted certain prevention behaviors. At the within-person level, fear related to assessing oneself for COVID-19 on the same day, but not the next day.Conclusions: Findings replicated worry about yourself or a loved one getting COVID-19 as the strongest predictor of prevention behaviors. The present study and [Citation masked] combined suggest affective experiences may be more powerful drivers of preventative health behaviors than cognitions.
Databáze: OpenAIRE