Evidence map›Paper›PMID 32780891›Full record

ArticleBritish journal of health psychology2020

Using an integrated social cognition model to predict COVID-19 preventive behaviours.

Chung-Ying Lin, Vida Imani, Nilofar Rajabi Majd, Zahra Ghasemi, Mark D Griffiths, Kyra Hamilton, Martin S Hagger, Amir H Pakpour

Abstract read
In one paragraph

Article in British journal of health psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Improving Hand Hygiene Behavior Using a Novel Theory-Based Intervention During the COVID-19 Pandemic.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chung-Ying LinDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID 0000-0002-2129-4242
Vida ImaniPediatric Health Research Center, Tabriz University of Medical Sciences, Iran.
Nilofar Rajabi MajdSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Iran.
Zahra GhasemiSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Iran.
Mark D GriffithsInternational Gaming Research Unit, Psychology Department, Nottingham Trent University, UK.ORCID 0000-0001-8880-6524
Kyra HamiltonSchool of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Mt Gravatt, Queensland, Australia.ORCID 0000-0001-9975-685X
Martin S HaggerSchool of Applied Psychology, Menzies Health Institute Queensland, Griffith University, Mt Gravatt, Queensland, Australia.ORCID 0000-0002-2685-1546
Amir H PakpourSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Iran.ORCID 0000-0002-8798-5345

Funding

Business Finland #1801/31/2105Qazvin University of Medical Sciences
6 · The paper itself

Abstract

objectivesRates 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.

designThe study adopted a three-wave prospective correlational design.

methodsMembers of the general public (N = 1,718, M

resultsThe 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).

conclusionsCurrent 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.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralCognitionCOVID-19HumansIntentionIranProspective StudiesSARS-CoV-2attitudebehaviour changeintentionplanningpreventive behaviours

Identifiers

PMID32780891
PMCPMC7436576

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.