Evidence map›Paper›PMID 34141490›Full record

ArticlePeerJ2021

No significant association of repeated messages with changes in health compliance in the COVID-19 pandemic: a registered report on the extended parallel process model.

Jingwen Yang, Xue Wu, Kyoshiro Sasaki, Yuki Yamada

Abstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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.

Jingwen YangGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Fukuoka, Japan.ORCID 0000-0002-6050-656X
Xue WuGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Fukuoka, Japan.ORCID 0000-0002-9461-3558
Kyoshiro SasakiFaculty of Informatics, Kansai University, Takatsuki, Osaka, Japan.ORCID 0000-0002-5496-3748
Yuki YamadaFaculty of Arts and Science, Kyushu University, Fukuoka, Fukuoka, Japan.ORCID 0000-0003-1431-568X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When people are confronted with health proposals during the coronavirus disease 2019 (COVID-19) pandemic, it has been suggested that fear of COVID-19 can serve protective functions and ensure public health compliance. However, health proposal repetition and its perceived efficacy also influence the behavior intention toward the proposal, which has not yet been confirmed in the COVID-19 context. The present study examined whether the extended parallel process model (EPPM) could be generalized to a naturalistic context like the COVID-19 pandemic. Additionally, we explored how repetition of a health proposal is involved with the EPPM. In this study, two groups of participants were exposed to the same health proposal related to COVID-19, where one group was exposed once and another group twice. Participants then filled out a questionnaire consisting of items concerning behavior intention and adapted from the Risk Behavior Diagnosis Scale. Structural equation modeling was used to determine the multivariate associations between the variables. Although the results showed that behavior intention is predicted by perceived efficacy, no significant influence of perceived threat was detected. Furthermore, no significant effect of repetition was found toward either response efficacy or perceived susceptibility. These findings indicate that to promote health compliance during the COVID-19 pandemic, it is more efficient to focus on health proposals' perceived efficacy rather than the disease's perceived threat. For future health communication research, the present study suggests improved analysis strategies and repeated manipulation of messages.

Indexed as

COVID-19Hand hygieneHealth communicationInfection preventionPandemic responsePersuasiveness

Identifiers

PMID34141490
PMCPMC8180189

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.