Li Yun-Shan, Wang Rui, Deng Yu-Qian, Jia Xiao-Rong, Li Shan-Peng, Zhao Li-Ping, Sun Xin-Ying, Qi Fei, Wu Yi-Bo
School Of Public Health, Shandong University, 250012, Shandong, China.
Center for Disease Control and Prevention of Qingdao, 175 Shandong Road, 266033, Shandong, China.
BMC Public Health. 2022 Jun 1;22(1):1098. doi: 10.1186/s12889-022-13514-0.
Under the outbreak of Coronavirus disease 2019 (COVID-19), a structural equation model was established to determine the causality of important factors that affect Chinese citizens' COVID-19 prevention behavior.
The survey in Qingdao covered several communities in 10 districts and used the method of cluster random sampling. The research instrument used in this study is a self-compiled Chinese version of the questionnaire. Of the 1215 questionnaires, 1188 were included in our analysis. We use the rank sum test, which is a non-parametric test, to test the influence of citizens'basic sociodemographic variables on prevention behavior, and the rank correlation test to analyze the influencing factors of prevention behavior. IBM AMOS 24.0 was used for path analysis, including estimating regression coefficients and evaluating the statistical fits of the structural model, to further explore the causal relationships between variables.
The result showed that the score in the prevention behavior of all citizens is a median of 5 and a quartile spacing of 0.31. The final structural equation model showed that the external support for fighting the epidemic, the demand level of health information, the cognition of (COVID-19) and the negative emotions after the outbreak had direct effects on the COVID-19 prevention behavior, and that negative emotions and information needs served as mediating variables.
The study provided a basis for relevant departments to further adopt epidemic prevention and control strategies.
在2019年冠状病毒病（COVID-19）疫情爆发期间，建立了一个结构方程模型来确定影响中国公民COVID-19预防行为的重要因素之间的因果关系。
青岛的调查覆盖了10个区的多个社区，采用整群随机抽样的方法。本研究使用的研究工具是自编的中文版问卷。在1215份问卷中，1188份被纳入我们的分析。我们使用非参数检验的秩和检验来检验公民基本社会人口学变量对预防行为的影响，并使用秩相关检验来分析预防行为的影响因素。使用IBM AMOS 24.0进行路径分析，包括估计回归系数和评估结构模型的统计拟合度，以进一步探索变量之间的因果关系。
结果显示，所有公民预防行为得分的中位数为5，四分位间距为0.31。最终的结构方程模型表明，抗疫外部支持、健康信息需求水平、对（COVID-19）的认知以及疫情爆发后的负面情绪对COVID-19预防行为有直接影响，且负面情绪和信息需求作为中介变量。
该研究为相关部门进一步采取疫情防控策略提供了依据。
