Evidence map›Paper›PMID 36311572›Full record

ArticleFrontiers in public health2022

Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic.

Benli Xue, Yibo Wu, Xiao Zheng, Yaqing Xue, Fang Dong, Shujuan Xiao, Mei Yin, Mingxu Wang, Yuxi Liu, Chichen Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Benli XueSchool of Health Management, Southern Medical University, Guangzhou, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China.
Xiao ZhengSchool of Health Management, Southern Medical University, Guangzhou, China.
Yaqing XueSchool of Health Management, Southern Medical University, Guangzhou, China.
Fang DongSchool of Health Management, Southern Medical University, Guangzhou, China.
Shujuan XiaoSchool of Health Management, Southern Medical University, Guangzhou, China.
Mei YinSchool of Humanities and Social Sciences, Harbin Medical University, Harbin, China.
Mingxu WangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yuxi LiuSchool of Humanities and Management, Guangdong Medical University, Dongguan, China.
Chichen ZhangSchool of Health Management, Southern Medical University, Guangzhou, China.
Southern Medical University · CNGuangdong Medical College · CNHarbin Medical University · CNPeking University · CNThe First People's Hospital of Shunde · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: It has been approved that information sources would affect public behaviors. However, due to the outbreak of COVID-19, this influence was enhanced and showed a distinctive pattern among different populations, which has been less noticed before. We aimed to investigate the potential roles of different information sources in COVID-19 preventive behaviors of different publics. Methods: A cross-sectional online survey with 11,190 participants from 33 province-level regions in China was conducted during the COVID-19 pandemic. Sociodemographic characteristics, COVID-19 preventive behaviors, and information sources for COVID-19-related information were assessed. A mixed linear model was used to analyze risk factors of COVID-19 preventive behaviors. The effects of different information sources on COVID-19 prevention behaviors of different publics were analyzed. Results: Generally, the Chinese public had good COVID-19 preventive behaviors, and the top three COVID-19 preventive behaviors with the higher action rate were avoiding eat bushmeat (76.1%), a healthy diet (74.8%), and avoiding contact with people with symptoms of respiratory diseases (73.0%). About information sources, 12320 telephone (National Public Health Hotline) (-0.62, 95% CI: -0.94 to -0.31) and acquaintances consulting (-1.00, 95% CI: -1.31 to -0.69) were negatively associated with COVID-19 preventive behaviors, while internet resources, family doctors, hospitals, and community health centers were positively associated with COVID-19 preventive behaviors (1.00 vs. 0.47 vs. 0.46 vs. 0.33, Conclusions: Obtaining COVID-19-related information through internet resources had the most significant effect on COVID-19 preventive behaviors, but was not significant among publics with old age, low education, low income, and living in rural area.

Indexed as

COVID-19AgedCross-Sectional StudiesEmergenciesFemaleHumansMalePandemicsSARS-CoV-2Surveys and QuestionnairesCOVID-19information sourcesinternet resourcespreventive behaviorspublic health

Identifiers

PMID36311572
PMCPMC9615916
OpenAlexW4306176744

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.