PMC:7543267 / 11744-14229 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7543267","sourcedb":"PMC","sourceid":"7543267","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7543267","text":"The Present Study\nThe present study aimed to identify the determinants of participation in social distancing behavior among individuals in the context of COVID-19 using an integrated social cognition model that incorporated constructs from the theory of planned behavior with moral norm, anticipated regret, action planning, and self-reported habit. We tested predictions of the proposed model in a prospective correlational study in two separate samples of adults from Australia and the USA, respectively. These countries provide an opportunity to examine the determinants of social distancing because they experienced rapid increases in COVID-19 cases relatively early in the pandemic and introduced public health advice and “lockdown” measures to minimize transmission via social distancing. In our proposed model (Model 1; Fig. 1), attitude, subjective norm, PBC, moral norm, and anticipated regret were specified as predictors of intention, and intention, PBC, and habit as predictors of social distancing behavior. Intention was proposed to mediate the effects of the social cognition constructs on behavior. The role of action planning as a mediator and moderator of the intention–behavior relationship was also specified. We also specified a second model (Model 2; Fig. 1) in which past social distancing behavior was included as a direct predictor of all constructs in the model, providing a test of its sufficiency. Although research demonstrating that social distancing behavior clusters with other health behaviors indicates that application of social cognition theories is viable for this behavior [28], research is needed to verify this contention and the current study contributes to this goal. The research may assist in identifying potentially modifiable constructs that relate to social distancing behavior. Such information may provide useful information to inform social distancing interventions focused on reducing the spread of COVID-19 and, more broadly, other communicable diseases.\nFig. 1. Standardized parameter estimates of the integrated model. Upper panel presents the model excluding past behavior (Model 1) and the lower panel presents the model including past behavior (Model 2). Coefficients printed on the upper line are for the Australian sample and coefficients printed on the lower line are for the U.S. sample. †Effect is significantly different across the Australian and U.S. samples in multiple-group analyses. *p \u003c .05, **p \u003c .01, ***p \u003c 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