【摘要】 [目的/意义]旨在为高校面对公共卫生安全事件有针对性的做好学生心理工作提供建议。[方法/过程]对381名北京地区高校大学生使用自编个人信息问卷及心理状态自评量表进行网络问卷调查,使用SPSS对影响因素进行单因素方差分析及相关性检验。[结果/结论]本研究中调查得到的学生自评焦虑得分粗分为32.51±7.61分,自评抑郁得分粗分为36.39±8.46分,对比国内常模有显著升高。在基础特征中,女性学生的焦虑情绪在疫情中受到更多影响。在风险传播上,通过以确诊病例数制作的风险划分表发现学生的焦虑、抑郁情绪出现边缘带效应,极低风险与极高风险地区学生的焦虑、抑郁情绪受到更多影响。在网络谣言传播上,参与过传播不实新闻的学生焦虑、抑郁情绪在疫情中受到更多影响。高校在疫情防控工作中要对女性学生、来自较高风险地区学生给予更多关注。认真做好持续的疫情防护知识宣传和日常落实。加强对学生独立思考能力和辨别能力的培养,及时发布清晰的官方通知解读。更多还原

【Abstract】 [Purpose/significance]The paper is to provide suggestions for universities to do well in students’ psychological work in the face of public health and safety events.[Method/process]The paper investigates a total of 381 college students in Beijing by using a self-made questionnaire on personal information and a self-rating scale on mental state.Then,the paper uses SPSS to conduct one-way ANOVA and correlation test for the influencing factors.[Result/conclusion] In this study,the students’ self-rated anxiety score is32.51±7.61 points and the crude score of self-rated depression is 36.39±8.46 points.It is significantly higher than the domestic norm.Among the basic characteristics,the anxiety of female students is more affected by the epidemic.In terms of risk transmission,through the risk classification table made based on the number of confirmed cases,it is found that students’ anxiety and depression have a marginal effect,and students’ anxiety and depression in very low-risk and very high-risk areas are more affected by the epidemic.In the spread of Internet rumors,the anxiety and depression of students who participate in the spread of false news are more affected by the epidemic.In epidemic prevention and control,colleges and universities should pay more attention to female students and students from high-risk areas in epidemic prevention and control,earnestly carry out continuous epidemic prevention knowledge publicity and daily implementation,strengthen the cultivation of students’ independent thinking ability and discrimination ability,and timely issue clear official notice interpretation.更多还原