Evidence map›Paper›PMID 36298602›Full record

ArticleVaccines2022

Impact of Media Use on Chinese Public Behavior towards Vaccination with the COVID-19 Vaccine: A Latent Profile Analysis.

Fangmin Gong, Zhuliu Gong, Zhou Li, Hewei Min, Jinzi Zhang, Xialei Li, Tongtong Fu, Xiaomin Fu, Jingbo He, Zhe Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 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
1.0field-weighted citation impact, top 25% 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, 6 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

12 authors at 8 institutions in 1 country.

Fangmin GongSchool of Literature and Journalism Communication, Jishou University, Jishou 416000, China.
Zhuliu GongSchool of Literature and Journalism Communication, Jishou University, Jishou 416000, China.ORCID 0000-0001-9305-1103
Zhou LiSchool of Literature and Journalism Communication, Jishou University, Jishou 416000, China.
Hewei MinSchool of Public Health, Peking University, Beijing 100871, China.
Jinzi ZhangSchool of Humanities and Social Sciences, Harbin Medical University, Harbin 150088, China.
Xialei LiSchool of Pharmaceutical Sciences, Shandong University, Jinan 250100, China.
Tongtong FuDepartment of Nursing, Shengjing Hospital of China Medical University, Shenyang 110055, China.
Xiaomin FuSchool of Management, Hainan Medical College, Haikou 571100, China.
Jingbo HeSchool of Public Health, North Sichuan Medical College, Nanchong 637100, China.ORCID 0000-0002-3561-5510
Zhe WangXiangya School of Public Health, Central South University, Changsha 410017, China.
Yujia WangSchool of Humanities and Social Sciences, Harbin Medical University, Harbin 150088, China.
Yibo WuSchool of Public Health, Peking University, Beijing 100871, China.ORCID 0000-0001-9607-313X
Jishou University · CNHarbin Medical University · CNPeking University · CNCentral South University · CNChina Medical University · CNHainan Medical College Hospital · CNNorth Sichuan Medical University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: research on vaccines has received extensive attention during epidemics. However, few studies have focused on the impact of media use on vaccination behavior and the factors influencing vaccination in groups with different media use degrees; (2) Method: Based on seven items related to media use, a total of 11,031 respondents were categorized by the frequency of media use by using latent profile analysis (LPA). Binary regression analysis was used to study the factors that influence the vaccination behaviors of people with different media use frequencies; (3) Results: All respondents were classified into the following three groups: media use low frequency (9.7%), media use general (67.1%), and media use high frequency (23.2%). Media use low frequency (β = −0.608, p < 0.001) was negatively associated with COVID-19 vaccination behavior. In the media use low frequency, analysis showed that “aged 41 years or older” β = 1.784, p < 0.001), had religious belief (β = 0.075, p < 0.05), were ethnic minorities (β = 0.936, p < 0.01) and had friends support (β = 0.923, p < 0.05) were associated with a preference to accept the COVID-19 vaccine. In the media use general, those who aged 41 years old and older (β = 1.682, p < 0.001), had major depression (β = 0.951, p < 0.05), had friends support (β = 0.048, p < 0.001) would be more likely to receive COVID-19 vaccination. However, respondents who live in towns (β = −0.300, p < 0.01) had lower behaviors to receive vaccination for COVID-19. In the media use high frequency, the respondents who aged 41 or older (β = 1.010, p < 0.001), were ethnic minorities (β = 0.741, p < 0.001), had moderate depression (β = 1.003, p < 0.05) would receive the vaccination for COVID-19 positively; (4) Conclusions: The more occluded the media use is, the less likely the respondents are to get vaccinated against COVID-19. Vaccination behavior is influenced by different factors in groups with different frequencies of media use. Therefore, the government and appropriate departments should make individualized and targeted strategies about COVID-19 vaccination and disseminate the vaccination information to different media use groups.

Indexed as

COVID-19 vaccinationlatent profile analysismedia usesocial support

Identifiers

PMID36298602
PMCPMC9607196
OpenAlexW4306673864

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.