Evidence map›Paper›PMID 34593054›Full record

ArticleGlobal health research and policy2021

The impact of health education videos on general public's mental health and behavior during COVID-19.

Qian Yang, Zhihua Wu, Ying Xie, Xiaohua Xiao, Jinnan Wu, Tian Sang, Kejun Zhang, Haidong Song, Xifeng Wu, Xin Xu

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global health research and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 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 3 countries.

Qian YangCenter for Health Policy Studies, School of Public Health and Department of Endocrinology of The Children's Hospital, National Clinical Research Center for Child Health , Zhejiang University School of Medicine, Hangzhou, 310058, China.
Zhihua WuDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Ying XieDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xiaohua XiaoDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jinnan WuDepartment of Graduate School of Education and Psychology, Pepperdine University, California, USA.
Tian SangDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Kejun ZhangCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Haidong SongHangzhou Seventh People's Hospital, Hangzhou, China.
Xifeng WuDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xin XuDepartment of Public Health, Zhejiang University School of Medicine, Hangzhou, China. xuxinsummer@zju.edu.cn.ORCID 0000-0002-4639-6480
Zhejiang University · CNChildren's Hospital of Zhejiang University · CNHangzhou Seventh Peoples Hospital · CNNational University of Singapore · SGPepperdine University · USZhejiang University of Science and Technology · CN

Funding

Department of Education of Zhejiang Province (CN) 2020XGZX003leading innovative and entrepreneur team introduction program of zhejiang 2019R01007National Natural Science Foundation of China 71974170Soft Science Project of Science Technology Department of Zhejiang Province of China 2019C35025
6 · The paper itself

Abstract

backgroundCOVID-19 has seriously affected people's mental health and changed their behaviors. Previous studies for mental state and behavior promotion only targeted limited people or were not suitable for daily activity restrictions. Therefore, we decided to explore the effect of health education videos on people's mental state and health-related behaviors.

methodsBased on WeChat, QQ, and other social media, we conducted an online survey by snowball sampling. Spearman's non-parametric method was used to analyze the correlation related to mental health problems and health-related behaviors. Besides, we used binary logistic regression analyses to examine mental health problems and health-related behaviors' predictors. We performed SPSS macro PROCESS (model 4 and model 6) to analyze mediation relationships between exposure to health education videos and depression/anxiety/health-related behaviors. These models were regarded as exploratory.

resultsBinary logistic regression analyses indicated that people who watched the health education videos were more likely to wear masks (OR 1.15, p < 0.001), disinfect (OR 1.26, p < 0.001), and take temperature (OR 1.37, p < 0.001). With higher level of posttraumatic growth (PTG) or perceived social support (PSS), people had lower percentage of depression (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p < 0.01) and anxiety (For PSS, OR 0.98, p < 0.001; For PTG, OR 0.98, p = 0.01) and better health behaviors. The serial multiple-mediation model supported the positive indirect effects of exposure to health education videos on the depression and three health-related behaviors through PSS and PTG (Depression: B[SE] =  - 0.0046 [0.0021], 95% CI - 0.0098, - 0.0012; Mask-wearing: B[SE] = 0.0051 [0.0023], 95% CI 0.0015, 0.0010; Disinfection: B[SE] = 0.0059 [0.0024], 95% CI 0.0024, 0.0012; Temperature-taking: B[SE] = 0.0067 [0.0026], 95% CI 0.0023, 0.0013).

conclusionExposure to health education videos can improve people's self-perceived social support and inner growth and help them cope with the adverse impact of public health emergencies with better mental health and health-related behaviors.

Indexed as

Health BehaviorAdultAgedChinaCOVID-19FemaleHealth EducationHumansMaleMental HealthMiddle AgedPublic HealthSocial SupportYoung AdultCOVID-19Health educationHealth-related behaviorPublic health

Identifiers

PMID34593054
PMCPMC8482355
OpenAlexW3203225315

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.