Evidence map›Paper›PMID 33010119›Full record

ArticleApplied psychology. Health and well-being2020

Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample.

Kwok Kit Tong, Juliet Honglei Chen, Eilo Wing-Yat Yu, Anise M S Wu

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Article in Applied psychology. Health and well-being, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
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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.

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3 · Its place in the literature

Who cites it

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

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  18. Behaviors and Advocacy Related to COVID-19 among Cancer Patients: The Health Belief Model and Opportunities for Messaging and Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
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24 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

4 authors.

Kwok Kit TongUniversity of Macau, Macao, China.ORCID 0000-0001-8594-9300
Juliet Honglei ChenUniversity of Macau, Macao, China.ORCID 0000-0002-6564-5390
Eilo Wing-Yat YuUniversity of Macau, Macao, China.
Anise M S WuUniversity of Macau, Macao, China.ORCID 0000-0001-8174-6581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the face of the global pandemic of coronavirus disease-2019 (COVID-19), people's adherence to precautionary behavioral measures (e.g. social distancing) largely influences the effectiveness of those measures in containing the spread of the coronavirus. The present study aims at testing the applicability of the health belief model (HBM) and generalised social beliefs (i.e. social axioms) to explore strategies for promoting adherence to COVID-19 precautionary measures.

methodsWe conducted a telephone survey with a two-step stratified random sampling method and obtained a probability sample of 616 adults in Macao, China (18-87 years old; 60.9% women) in April 2020.

resultsOur participants showed stronger adherence to some COVID-19 precautionary measures (e.g. face mask wearing; 96.4%) but not others (e.g. social distancing; 42.3%). Their adherence to those measures was found to be significantly associated with four HBM factors and two social axioms, after controlling for gender, age, and years of education.

conclusionsThe HBM and the generalised social beliefs of social cynicism and reward for application can be applied to understanding adherence to precautionary measures against COVID-19. Strategies based on beliefs were proposed to facilitate the promotion of precautionary measures.

Indexed as

Communicable Disease ControlHealth BehaviorHealth Belief ModelHealth Knowledge, Attitudes, PracticeAdolescentAdultAgedAged, 80 and overCOVID-19FemaleGuideline AdherenceHealth SurveysHumansMacauMaleMiddle AgedadherenceCOVID-19health belief modelprecautionary measuresocial axiomssocial beliefs

Identifiers

PMID33010119
PMCPMC7675419

What OpenQuestion holds

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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.