新型冠状病毒肺炎疫情下医务人员的心理健康状态及影响因素分析

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目的:了解新型冠状病毒肺炎(以下简称“新冠肺炎”)疫情下医务人员的心理健康状态及影响因素。方法:采用便利抽样法,使用中盛凯新《PEM医务人员心理健康关爱平台》于2020年2月18日—4月3日疫情流行期间发放一般资料调查表、广泛性焦虑量表和抑郁症状群量表、疫情压力指数量表、睡眠质量调查问卷对医务人员进行年龄、性别、婚姻状况、学历、职称等一般资料,心理健康状态和睡眠质量的调查,问卷回收后采用描述性分析、独立样本n t检验/卡方检验、相关性分析的方法分析暴露于新冠肺炎疫情下的医务人员心理健康状态及睡眠质量,采用及多元线性回归的方法分析其影响因素。n 结果:共回收来自23个省份的24 845份问卷,有效问卷24 687份,回收有效率99.36%;疫情影响下,有焦虑、抑郁症状的医务人员分别占比50.58%,51.37%,抗压能力较差及很差医务人员占比16.11%,睡眠质量较差及很差医务人员占比71.78%;焦虑与抑郁、抗压能力及睡眠质量均呈正相关(n r分别=0.787、0.667、0.486,均n P<0.001),抑郁与抗压能力及睡眠质量均呈正相关(n r分别=0.709、0.586,均n P<0.001),抗压能力与睡眠质量呈正相关(n r=0.452,n P<0.001);多元线性回归分析结果显示年龄、性别、婚姻状况、学历、职称、工作岗位、抗击疫情参与状况影响新冠肺炎疫情下医务人员的焦虑水平(n P均<0.001);性别、学历、工作岗位、职称、抗击疫情参与状况的不同影响医务人员的抑郁水平(n P<0.001);性别、婚姻状况、学历、工作岗位、抗击疫情参与状况的不同影响医务人员的抗压能力(n P<0.001);年龄、性别、工作岗位、抗击疫情参与状况、职称的不同影响医务人员的睡眠质量(均n P<0.001)。n 结论:新冠肺炎疫情影响下,医务人员心理健康状态和睡眠质量较差,且可受多种因素影响,研究结果有助于辅助医务人员加强自我认知,也可为管理部门提供一定心理疏导数据和理论依据。“,”Objective:The study seeks to explore the factors influencing the psychological status and sleep quality of medical workers amid the ongoing COVID-19 pandemic, in order to provide data sources and theoretical basis for the development of relevant psychological intervention programs.Methods:Employing the convenience sampling method, general information questionnaire (age, gender, marital status, educational background, job status, etc.), Generalized Anxiety Disorder-7 and Patient Health Questionnaire, epidemic stress index scale, and sleep quality questionnaire were distributed to medical staff between February 18 and April 3, 2020, using the PEM mental health care platform of by ZhongShengKaiXin for medical staff issued. Descriptive, single factor, and correlation analyses, as well as multiple linear regression analysis were used to analyze the data.Results:Overall, 24, 845 questionnaires were collected from 23 provinces, of which 24, 687 were valid, with a recovery rate of 99.36%. The findings showed that the proportion of medical personnel with symptoms of anxiety and depression was 50.58% and 51.37%, respectively; 16.11% had poor or very poor anti-stress ability; and 71.78% reported poor or very poor sleep quality. There was a positive correlation between anxiety, depression, anti-stress ability, and sleep quality (n P<0.05). Anxiety was positively correlated with depression, stress tolerance, and sleep quality(n r=0.787, 0.667, and 0.486, all n P<0.001); depression was positively correlated with stress tolerance and sleep quality (n r=0.709 and 0.586, both n P<0.001); and stress tolerance was positively correlated with sleep quality (n r=0.452, n P<0.001). Multiple linear regression analysis results showed that age, gender, marital status, educational background, professional title, job status, and participation influenced the anxiety levels of medical personnel in the backdrop of the pandemic (n P<0.001). Depression levels of medical staff were influenced by gender, educational background, job position, and participation (n P<0.001), while gender, marital status, educational background, job position, and participation influenced the stress tolerance levels (n P<0.001). The sleep quality of medical workers was influenced by age, gender, job position, participation in the fight against the pandemic, and professional title (n P<0.001).n Conclusions:Amid the ongoing COVID-19 pandemic, medical staff reported poor mental health status and sleep quality, which can be attributed to diverse factors. The research findings can be useful for assisting medical staff to strengthen their self-cognition, while also providing certain psychological counseling data and theoretical basis for management departments.
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