Please use this identifier to cite or link to this item: https://doi.org/10.1186/s41256-021-00211-5
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dc.titleThe impact of health education videos on general public’s mental health and behavior during COVID-19
dc.contributor.authorYang, Qian
dc.contributor.authorWu, Zhihua
dc.contributor.authorXie, Ying
dc.contributor.authorXiao, Xiaohua
dc.contributor.authorWu, Jinnan
dc.contributor.authorSang, Tian
dc.contributor.authorZhang, Kejun
dc.contributor.authorSong, Haidong
dc.contributor.authorWu, Xifeng
dc.contributor.authorXu, Xin
dc.date.accessioned2022-10-11T07:45:57Z
dc.date.available2022-10-11T07:45:57Z
dc.date.issued2021-09-30
dc.identifier.citationYang, Qian, Wu, Zhihua, Xie, Ying, Xiao, Xiaohua, Wu, Jinnan, Sang, Tian, Zhang, Kejun, Song, Haidong, Wu, Xifeng, Xu, Xin (2021-09-30). The impact of health education videos on general public’s mental health and behavior during COVID-19. Global Health Research and Policy 6 (1) : 37. ScholarBank@NUS Repository. https://doi.org/10.1186/s41256-021-00211-5
dc.identifier.issn2397-0642
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/231911
dc.description.abstractBackground: COVID-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. Methods: Based 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. Results: Binary 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). Conclusion: Exposure 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. © 2021, The Author(s).
dc.publisherBioMed Central Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectCOVID-19
dc.subjectHealth education
dc.subjectHealth-related behavior
dc.subjectPublic health
dc.typeArticle
dc.contributor.departmentPHARMACOLOGY
dc.description.doi10.1186/s41256-021-00211-5
dc.description.sourcetitleGlobal Health Research and Policy
dc.description.volume6
dc.description.issue1
dc.description.page37
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