Evidence map›Paper›PMID 34556043›Full record

ArticleEnvironmental health and preventive medicine2021

Factors influencing protective behavior in the post-COVID-19 period in China: a cross-sectional study.

Guiqian Shi, Xiaoni Zhong, Wei He, Hui Liu, Xiaoyan Liu, Mingzhu Ma

Abstract read
In one paragraph

Article in Environmental health and preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Guiqian ShiDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Xiaoni ZhongDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China. zhongxiaoni@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-8035-1841
Wei HeDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Hui LiuDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Xiaoyan LiuDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.
Mingzhu MaDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, China.

Funding

the chongqing medical university new coronavirus emergency research special project CQMUNCP0305
6 · The paper itself

Abstract

backgroundThe study aimed to explore the factors influencing protective behavior and its association with factors during the post-COVID-19 period in China based on the risk perception emotion model and the protective action decision model (PADM).

methodsA total of 2830 valid questionnaires were collected as data for empirical analysis via network sampling in China. Structural equation modeling (SEM) was performed to explore the relationships between the latent variables.

resultsSEM indicated that social emotion significantly positively affected protective behavior and intention. Protective behavioral intention had significant direct effects on protective behavior, and the direct effects were also the largest. Government trust did not have a significant effect on protective behavior but did have a significant indirect effect. Moreover, it was found that government trust had the greatest direct effect on social emotion. In addition, we found that excessive risk perception level may directly reduce people's intention and frequency of engaging in protective behavior, which was not conducive to positive, protective behavior.

conclusionIn the post-COVID-19 period, theoretical framework constructed in this study can be used to evaluate people's protective behavior. The government should strengthen its information-sharing and interaction with the public, enhance people's trust in the government, create a positive social mood, appropriately regulate people's risk perception, and, finally, maintain a positive attitude and intent of protection.

Indexed as

Communicable Disease ControlEmotionsHealth BehaviorSocial BehaviorAdolescentAdultAgedAged, 80 and overChinaCOVID-19Cross-Sectional StudiesFemaleHumansIntentionLatent Class AnalysisMaleCOVID-19Cross-sectional studyModelPost-pandemicProtective behaviorStructural equation modeling

Identifiers

PMID34556043
PMCPMC8459581

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.