Center 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.
Department of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Glob Health Res Policy. 2021 Sep 30;6(1):37. doi: 10.1186/s41256-021-00211-5.
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.
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.
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).
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.
新冠疫情严重影响了人们的心理健康,并改变了他们的行为。之前的研究主要针对有限的人群或不适用于日常活动限制,因此,我们决定探索健康教育视频对人们心理状态和健康相关行为的影响。
我们通过滚雪球抽样,基于微信、QQ 等社交媒体进行在线调查。采用 Spearman 非参数法分析与心理健康问题和健康相关行为相关的相关性。此外,我们还使用二元逻辑回归分析来检验心理健康问题和健康相关行为的预测因素。我们使用 SPSS 宏 PROCESS(模型 4 和模型 6)来分析接触健康教育视频与抑郁/焦虑/健康相关行为之间的中介关系。这些模型被视为探索性的。
二元逻辑回归分析表明,观看健康教育视频的人更有可能戴口罩(OR 1.15,p<0.001)、消毒(OR 1.26,p<0.001)和测体温(OR 1.37,p<0.001)。较高的创伤后成长(PTG)或感知社会支持(PSS)水平,人们的抑郁比例较低(对于 PSS,OR 0.98,p<0.001;对于 PTG,OR 0.98,p<0.01)和焦虑(对于 PSS,OR 0.98,p<0.001;对于 PTG,OR 0.98,p=0.01),健康行为更好。序列多重中介模型支持通过 PSS 和 PTG (抑郁:B[SE] = -0.0046 [0.0021],95%CI-0.0098,-0.0012;戴口罩:B[SE] = 0.0051 [0.0023],95%CI 0.0015,0.0010;消毒:B[SE] = 0.0059 [0.0024],95%CI 0.0024,0.0012;测体温:B[SE] = 0.0067 [0.0026],95%CI 0.0023,0.0013)接触健康教育视频对抑郁和三种健康相关行为的积极间接影响。
接触健康教育视频可以提高人们的自我感知社会支持和内在成长,并帮助他们以更好的心理健康和健康相关行为来应对突发公共卫生事件的不利影响。