Predicting physical distancing over time during COVID-19 : testing an integrated model
Hagger, M. S., Smith, S. R., Keech, J. J., Moyers, S. A., & Hamilton, K. (2022). Predicting physical distancing over time during COVID-19 : testing an integrated model. Psychology and Health, 37(12), 1436-1456. https://doi.org/10.1080/08870446.2021.1968397
Julkaistu sarjassa
Psychology and HealthTekijät
Päivämäärä
2022Tekijänoikeudet
© 2021 Informa UK limited, trading as taylor & Francis group
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.
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Julkaisija
RoutledgeISSN Hae Julkaisufoorumista
0887-0446Asiasanat
Julkaisuun liittyvä(t) tutkimusaineisto(t)
https://osf.io/f95zh/?view_only=b8dfb42a2a1444b2bfe71e0faac82fe1Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/101344928
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Predicting Social Distancing Intention and Behavior During the COVID-19 Pandemic : An Integrated Social Cognition Model
Hagger, Martin S; Smith, Stephanie R; Keech, Jacob J; Moyers, Susette A; Hamilton, Kyra (Oxford University Press (OUP), 2020)Background 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 ... -
Application of the Health Action Process Approach to Social Distancing Behavior During COVID‐19
Hamilton, Kyra; Smith, Stephanie R.; Keech, Jacob J.; Moyers, Susette A.; Hagger, Martin S. (Wiley-Blackwell, 2020)Background This study examined the social cognition determinants of social distancing behavior during the COVID‐19 pandemic in samples from Australia and the US guided by the health action process approach (HAPA). Me ... -
Social cognition theories and behavior change in COVID-19 : A conceptual review
Hagger, Martin S.; Hamilton, Kyra (Elsevier Ltd., 2022)The COVID-19 pandemic has had unprecedented health, economic, and social consequences worldwide. Although contact reductions and wearing face coverings have reduced infection rates, and vaccines have reduced illness severity, ... -
Predicting intention to participate in self-management behaviors in patients with Familial Hypercholesterolemia : a cross-national study
Hagger, Martin S.; Hamilton, Kyra; Hardcastle, Sarah J.; Hu, Miao; Kwok, See; Lin, Jie; Nawawi, Hapizah M.; Pang, Jing; Santos, Raul D.; Soran, Handrean; Su, Ta-Chen; Tomlinson, Brian; Watts, Gerald F. (Elsevier Ltd, 2019)Rationale. Familial Hypercholesterolemia (FH) is a genetic condition that predisposes patients to substantially increased risk of early-onset atherosclerotic cardiovascular disease. FH risks can be minimized through regular ... -
Using an integrated social cognition model to identify the determinants of QR code check-in compliance behaviors in the COVID-19 pandemic
Mac, Thi Nhung; Phipps, Daniel J.; Parkinson, Joy; Cassimatis, Mandy; Hamilton, Kyra (SAGE Publications, 2023)In Australia, checking in while entering venues was a legal requirement during the COVID-19 pandemic to track potential infection sites. This two-wave correlational study used an integrated theory of planned behavior model ...
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