A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Using an integrated social cognition model to predict COVID‐19 preventive behaviours (2020)
Lin, C., Imani, V., Majd, N. R., Ghasemi, Z., Griffiths, M. D., Hamilton, K., Hagger, M. S., & Pakpour, A. H. (2020). Using an integrated social cognition model to predict COVID‐19 preventive behaviours. British Journal of Health Psychology, 25(4), 981-1005. https://doi.org/10.1111/bjhp.12465
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Lin, Chung‐Ying; Imani, Vida; Majd, Nilofar Rajabi; Ghasemi, Zahra; Griffiths, Mark D.; Hamilton, Kyra; Hagger, Martin S.; Pakpour, Amir H.
Lehti tai sarja: British Journal of Health Psychology
ISSN: 1359-107X
eISSN: 2044-8287
Julkaisuvuosi: 2020
Ilmestymispäivä: 11.08.2020
Volyymi: 25
Lehden numero: 4
Artikkelin sivunumerot: 981-1005
Kustantaja: John Wiley & Sons
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.1111/bjhp.12465
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/71403
Tiivistelmä
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.
YSO-asiasanat: terveyskäyttäytyminen; tartuntataudit; pandemiat; COVID-19; ennaltaehkäisy; sosiaalinen kognitio; asenteet; intentio; suunnittelu
Vapaat asiasanat: attitude; behaviour change; intention; planning; preventive behaviours
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2020
JUFO-taso: 1
