Evidence map›Paper›PMID 34299718›Full record

ArticleInternational journal of environmental research and public health2021

Impact of a Banning Indoor Dining Policy on Restaurant Avoidance Behavior during the COVID-19 Outbreak.

Tai-Hsiang Chen, Lan-Lung Luke Chiang, Chen-Chung Ma, Chiu-Hua Chang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Tai-Hsiang ChenCollege of Management, Yuan Ze University, Taoyuan 32003, Taiwan.ORCID 0000-0002-2558-8168
Lan-Lung Luke ChiangCollege of Management, Yuan Ze University, Taoyuan 32003, Taiwan.
Chen-Chung MaDepartment of Healthcare Administration, I-Shou University, Kaohsiung 82445, Taiwan.ORCID 0000-0002-3973-8745
Chiu-Hua ChangNursing Department, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) is spreading around the world, and Taiwan is no exception. Faced with the outbreak of the epidemic, the Taiwan government immediately ordered a policy banning indoor dining. The main purpose of the present research is to extend a Theory of Planned Behavior (TPB) theoretical framework to explore the public perception toward banning indoor dining policy on restaurant avoidance behavior during the COVID-19 outbreak. An online survey was administered in Taiwan during the COVID-19 pandemic from 25 May to 8 June 2021; a total of 326 responses were collected by a convenience sampling method, and partial least square (PLS) analysis was deployed to examine the hypothesized relationships. The results showed that perception toward banning indoor dining policy had independent significant associations with attitude, perceived behavioral control, and restaurant avoidance behavior. Moreover, attitude, perceived behavioral control, and subjective norm had independent significant associations with restaurant avoidance behavior. This study provides theoretical and practical insights into the psychological and behavioral processes involved in policy by the general public during the COVID-19 pandemic, thus helping policymakers to better understand public opinion and responses to policy issues.

Indexed as

COVID-19PandemicsAvoidance LearningDisease OutbreaksHumansPolicyRestaurantsSARS-CoV-2Surveys and QuestionnairesTaiwanconsumer behaviorcoronavirus disease 2019partial least squarestheory of planned behavior

Identifiers

PMID34299718
PMCPMC8306193

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.