Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.
First People's Hospital of Kashi, Xinjiang, China.
Front Public Health. 2021 May 17;9:671400. doi: 10.3389/fpubh.2021.671400. eCollection 2021.
The prevalence and related factors of mental health impact among medical staffs who experienced the second wave of the COVID-19 pandemic in China is unknown. Therefore, this survey was conducted to investigate the prevalence and related factors of depressive, anxiety, acute stress, and insomnia symptoms in medical staffs in Kashi, Xinjiang, China during the second wave of the COVID-19 pandemic. A cross-sectional online survey was conducted among medical staffs working in First People's Hospital of Kashi, Xinjiang. The questionnaire collected demographic data and self-design questions related to the COVID-19 pandemic. The Impact of Events Scale-6, the Insomnia Severity Index, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder Scale-7, the Perceived Social Support Scale, the Chinese Big Five Personality Inventory-15, and the Trait Coping Style Questionnaire were used to measure psychological symptoms or characteristics. Binary logistic regression was carried out to examine the associations between socio-demographic factors and symptoms of depression, anxiety, stress, and insomnia. In total, data from 123 participants were finally included, among which the prevalence rate of depressive, anxiety, acute stress, and insomnia symptoms is 60.2, 49.6, 43.1, and 41.1%, respectively. The regression model revealed that minority ethnicity, being worried about infection, spending more time on following pandemic information, and neurotic personality were positively associated with the mental health symptoms, while extraversion personality, higher education level, and better social support were negatively associated. In our study, the prevalence of mental health impact was high among medical staffs in Kashi, China who experienced the second wave of the COVID-19 pandemic. Several factors were found to be associated with mental health conditions. These findings could help identify medical staffs at risk for mental health problems and be helpful for making precise mental health intervention policies during the resurgence. Our study may pave way for more research into Xinjiang during the COVID-19 pandemic.
在中国经历第二波 COVID-19 大流行期间，经历过第二波 COVID-19 大流行的医护人员的心理健康影响的患病率及其相关因素尚不清楚。因此，本调查旨在研究新疆喀什地区医护人员在第二波 COVID-19 大流行期间抑郁、焦虑、急性应激和失眠症状的患病率及其相关因素。我们在新疆喀什第一人民医院开展了一项横断面在线调查。调查问卷收集了人口统计学数据和与 COVID-19 大流行相关的自设问题。使用事件影响量表-6、失眠严重度指数、患者健康问卷-9、广泛性焦虑症量表-7、领悟社会支持量表、中国大五人格问卷-15 和特质应对方式问卷来测量心理症状或特征。采用二元逻辑回归分析社会人口统计学因素与抑郁、焦虑、应激和失眠症状之间的关系。共纳入 123 名参与者的数据，其中抑郁、焦虑、急性应激和失眠症状的患病率分别为 60.2%、49.6%、43.1%和 41.1%。回归模型显示，少数民族、担心感染、花费更多时间关注疫情信息以及神经质人格与心理健康症状呈正相关，而外向人格、较高的教育水平和更好的社会支持与心理健康症状呈负相关。在我们的研究中，经历过中国第二波 COVID-19 大流行的新疆喀什地区医护人员的心理健康影响患病率较高。发现一些因素与心理健康状况相关。这些发现有助于确定有心理健康问题风险的医护人员，并有助于在疫情反弹期间制定精确的心理健康干预政策。我们的研究可能为 COVID-19 期间的新疆研究开辟道路。
