新冠肺炎疫情期间公众睡眠状况及影响因素分析

Analysis of public sleep status and influencing factors during the outbreak of COVID-19

目的:探讨新冠肺炎疫情期间公众睡眠状况及其影响因素。方法:使用一般人口学调查问卷、医院焦虑抑郁量表(HADS)、病人健康问卷抑郁量表(PHQ-9)、社会支持评定量表(SSRS)、匹兹堡睡眠质量指数量表(PSQI)向公众发放问卷进行调查评估;采用χ^(2)检验和多因素Logistic回归方法进行统计分析。结果:共收回有效问卷4949份;根据PSQI>7分划界,1093例(22.1%)被调查者有睡眠问题。单因素分析显示,女性、年龄的增长、受教育程度程度高、离异者、子女已成年及有抑郁、焦虑情绪者的睡眠问题发生率显著增高(P<0.05或P<0.01)。多因素Logistics回归分析显示,年龄、受教育程度、焦虑、抑郁和主观支持是影响新冠肺炎疫情期间被试睡眠问题的主要因素,可解释总变异的84.5%。结论:新冠肺炎疫情期间公众的睡眠问题发生率较高,年龄、受教育程度、抑郁、焦虑等情绪是公众睡眠问题的影响因素。

Objective:To explore the sleep status of the public and its influencing factors during the COVID-19 epidemic.Method:Questionnaire survey was assessed to the public using general demographic questionnaire,Hospital Anxiety Depression Scale(HADS),Patient Health Questionnaire-9(PHQ-9),Social Support Rating Scale(SSRS),and Pittsburgh Sleep Quality Index(PSQI)as a Chi-square test and multivariate Logistic regression analysis were used for statistical analysis.Results:A total of 4949 valid questionnaires were collected.According to the demarcation of PSQI>7,1093 subjects(22.1%)had sleep problems.Univariate analysis showed that the incidence of sleep problems was significantly higher in female,older,higher education level,divorced people and individuals with adult children,depression or anxiety(P<0.05 or P<0.01).Multivariate Logistic regression analysis showed that age,education level,anxiety,depression and subjective support were the main factors affecting sleep problems of subjects during COVID-19,which could explain 84.5%of the total variation.Conclusion:The incidence of sleep problems among the public is high during the COVID-19 epidemic.Age,education level,depression and anxiety are the influencing factors of sleep problems among the public.