About: Using an integrated social cognition model to predict COVID‐19 preventive behaviours

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Using an integrated social cognition model to predict COVID‐19 preventive behaviours
Creator	Hamilton, Kyra Hagger, Martin Wiley, John Griffiths, Mark Ghasemi, Zahra Imani, Vida Lin, Chung-Ying Majd, Nilofar Pakpour, Amir
Source	Medline; PMC
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 control, and action self‐efficacy at an initial data collection occasion. One week later, participants completed self‐report measures of maintenance self‐efficacy, action planning and coping planning, and, a further week later, measures of COVID‐19 preventive behaviours. Hypothesized relationships among social cognition constructs and COVID‐19 preventive behaviours according to the proposed integrated model were estimated using structural equation modelling. RESULTS: The proposed model fitted the data well according to multiple goodness‐of‐fit criteria. All proposed relationships among model constructs were statistically significant. The social cognition constructs with the largest effects on COVID‐19 preventive behaviours were coping planning (β = .575, p < .001) and action planning (β = .267, p < .001). CONCLUSIONS: Current findings may inform the development of behavioural interventions in health care contexts by identifying intervention targets. In particular, findings suggest targeting change in coping planning and action planning may be most effective in promoting participation in COVID‐19 preventive behaviours. STATEMENT OF CONTRIBUTION: What is already known on this subject? Curbing COVID‐19 infections globally is vital to reduce severe cases and deaths in at‐risk groups. Preventive behaviours like handwashing and social distancing can stem contagion of the coronavirus. Identifying modifiable correlates of COVID‐19 preventive behaviours is needed to inform intervention. What does this study add? An integrated model identified predictors of COVID‐19 preventive behaviours in Iranian residents. Prominent predictors were intentions, planning, self‐efficacy, and perceived behavioural control. Findings provide insight into potentially modifiable constructs that interventions can target. Research should examine if targeting these factors lead to changes in COVID‐19 behaviours over time.
has issue date	2020-08-11(xsd:dateTime)
bibo:doi	10.1111/bjhp.12465
bibo:pmid	32780891
has license	cc-by
sha1sum (hex)	c5cabad6b61969a61aef62949f3d4929ff59fd82
schema:url	https://doi.org/10.1111/bjhp.12465
resource representing a document's title	Using an integrated social cognition model to predict COVID‐19 preventive behaviours
has PubMed Central identifier	PMC7436576
has PubMed identifier	32780891
schema:publication	Br J Health Psychol
resource representing a document's body	covid:c5cabad6b61969a61aef62949f3d4929ff59fd82#body_text
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