Using an integrated social cognition model to predict COVID-19 preventive behaviours.

ABSTRACT:

Objectives

Rates of novel coronavirus disease 2019 (COVID-19) infections have rapidly increased worldwide and reached pandemic proportions. A suite of preventive behaviours have been recommended to minimize risk of COVID-19 infection in the general population. The present study utilized an integrated social cognition model to explain COVID-19 preventive behaviours in a sample from the Iranian general population.

Design

The study adopted a three-wave prospective correlational design.

Methods

Members of the general public (N = 1,718, M_age  = 33.34, SD = 15.77, male = 796, female = 922) agreed to participate in the study. Participants completed self-report measures of demographic characteristics, intention, attitude, subjective norm, perceived behavioural cont

SUBMITTER: Lin CY 

PROVIDER: S-EPMC7436576 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature