Social distancing is a key behavior to minimize COVID-19 infections. Identification of potentially modifiable determinants of social distancing behavior may provide essential evidence to inform social distancing behavioral interventions. The current study applied an integrated social cognition model to identify the determinants of social distancing behavior, and the processes involved, in the context of the COVID-19 pandemic. In a prospective correlational survey study, samples of Australian (N = 365) and U.S. (N = 440) residents completed online self-report measures of social cognition constructs (attitude, subjective norm, moral norm, anticipated regret, and perceived behavioral control [PBC]), intention, action planning, habit, and past behavior with respect to social distancing behavior at an initial occasion. Follow-up measures of habit and social distancing behavior were taken 1 week later. Structural equation models indicated that subjective norm, moral norm, and PBC were consistent predictors of intention in both samples. Intention, action planning, and habit at follow-up were consistent predictors of social distancing behavior in both samples. Action planning did not have consistent effects mediating or moderating the intention–behavior relationship. Inclusion of past behavior in the model attenuated effects among constructs, although the effects of the determinants of intention and behavior remained. Current findings highlight the importance of subjective norm, moral obligation, and PBC as determinants of social distancing intention and intention and habit as behavioral determinants. Future research on long-range predictors of social distancing behavior and reciprocal effects in the integrated model is warranted.

Systematic reviews and meta-analyses of research play an important role in summarizing current knowledge on the efficacy of the behavior change techniques and mechanisms of action that comprise behavioral interventions. The current reviews in the science of behavior change (SOBC) special issue represent a ‘step change’ in evaluating current evidence on behavior change interventions and mechanisms. This concluding article outlines the key findings and emerging issues identified in the reviews (‘known knowns’), and summarizes the evidence gaps highlighted by the reviews that need to be addressed in future research (‘known unknowns’). Specifically, findings of the reviews indicate that: tests of mechanisms of behavior change intervention are not routinely conducted by primary studies and research syntheses; intervention study quality is sub-optimal and reviews do not sufficiently account for study quality when assessing intervention effects and mechanisms; substantive variability exists in descriptions of intervention content and putative mediators implicated in their mechanisms of action; limited data is available on the efficacy of many behavior change techniques; and moderators of intervention effects and mechanisms are seldom taken into account. In terms of potential solutions to these issues, we advocate: testing isolated effects of behavior change techniques and associated mechanisms of action; routine evaluation of study quality in behavioral intervention research; development of an evidence base of links between behavior change techniques and theory-based constructs involved in mechanisms of action; adoption of fit-for-purpose methods for synthesizing behavioral intervention mechanisms of action; and routine testing of moderators in intervention research.

Objective: We applied an integrated social cognition model to predict physical distancing behavior, a key COVID-19 preventive behavior, over a four-month period. Design: A three-wave longitudinal survey design. Methods: Australian and US residents (N = 601) completed self-report measures of social cognition constructs (attitude, subjective norm, moral norm, perceived behavioral control [PBC]), intention, habit, and physical distancing behavior on an initial occasion (T1) and on two further occasions one week (T2) and four months (T3) later. Results: A structural equation model revealed that subjective norm, moral norm, and PBC, were consistent predictors of physical distancing intention on all three occasions. Intention and habit at T1 and T2 predicted physical distancing behavior at T2 and T3, respectively. Intention at T2 mediated effects of subjective norm, moral norm, and PBC at T2 on physical distancing behavior at T3, and habit at T1 and T2 mediated effects of behavior at T1 and T2 on follow-up behavior at T2 and T3, respectively. Conclusion: Normative (subjective and moral norms) and capacity (PBC) constructs were consistent predictors of physical distancing intention, and intention and habit were consistent predictors of physical distancing behavior. Interventions promoting physical distancing should target change in normative and personal capacity beliefs, and habit. Supplemental data for this article is available online at https://doi.org/10.1080/08870446.2021.1968397 .

The salutogenic model of health proposes that sense of coherence, a multi-dimensional construct representing individuals’ perceptions that their environment is comprehensible, manageable, and meaningful, is a key determinant of stress management and well-being. Generalized resistance resources such as preventive health orientation, material resources, and social support are proposed as determinants of sense of coherence. Health behaviors, particularly physical activity, are proposed as indicators of a preventive health orientation and predictors of sense of coherence. We synthesized research on the relationship between physical activity and sense of coherence using three-level meta-analysis, and tested effects of key moderators of the relationship. Database and manual searches identified 52 studies meeting inclusion criteria with 73 effect sizes testing the relationship. The analysis revealed a small non-zero physical activity-sense of coherence correlation with significant heterogeneity. Demographic variables, version of sense of coherence scale, physical activity measure, study design and quality, physical activity intensity, and time lag did not moderate the correlation. Findings suggest a robust but small correlation between physical activity participation and sense of coherence across studies. Studies that test the relationship using experimental or intervention designs, adopt more precise measures, and include measures of other health behaviors and generalized resistance resources are needed.

Promoting the adoption of personal hygiene behaviors known to reduce the transmission of COVID-19, such as avoiding touching one’s face with unwashed hands, is important for limiting the spread of infections. We aimed to test the efficacy of a theory-based intervention to promote the avoidance of touching one’s face with unwashed hands to reduce the spread of COVID-19. We tested effects of an intervention employing imagery, persuasive communication, and planning techniques in two pre-registered studies adopting randomized controlled designs in samples of Australian (N = 254; Study 1) and US (N = 245; Study 2) residents. Participants were randomly assigned to theory-based intervention or education-only conditions (Study 1), or to theory-based intervention, education-only, and no-intervention control conditions (Study 2). The intervention was delivered online and participants completed measures of behavior and theory-based social cognition constructs pre-intervention and one-week postintervention. Mixed-model ANOVAs revealed a significant increase in avoidance of touching the face with unwashed hands from pre-intervention to follow-up irrespective of intervention condition in both studies, but no significant condition effects. Exploratory analyses revealed significant effects of the theory-based intervention on behavior at follow-up in individuals with low pre-intervention risk perceptions in Study 2. Results indicate high adoption of avoiding touching one’s face with unwashed hands, with behavior increasing over time independent of the intervention. Future research should confirm risk perceptions as a moderator of the effect theory-based interventions on infection-prevention behaviors.