Prevalence and Related Factors of Depression, Anxiety, Acute Stress, and Insomnia Symptoms Among Medical Staffs Experiencing the Second Wave of COVID-19 Pandemic in Xinjiang, China.
Prevalence and Related Factors of Depression, Anxiety, Acute Stress, and Insomnia Symptoms Among Medical Staffs Experiencing the Second Wave of COVID-19 Pandemic in Xinjiang, China.
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中国新疆经历第二波 COVID-19 大流行的医务人员抑郁、焦虑、急性应激和失眠症状的患病率及相关因素
DOI：
10.3389/fpubh.2021.671400
复制
发表时间：
2021
影响因子：
5.2
通讯作者：
Zhang B
中科院分区：
文献类型：
--
作者：
Zhao Y;Guo J;Liu S;Aizezi M;Zeng Q;Sidike A;Abliz R;Kudireti A;Xie Y;Taineikuli A;Zhang B
中国经历第二波COVID-19疫情的医务人员心理健康影响的患病率及相关因素尚不清楚。因此，本次调查旨在调查中国新疆喀什地区医务人员在COVID-19第二波大流行期间抑郁、焦虑、急性应激和失眠症状的患病率及其相关因素。对新疆喀什市第一人民医院的医务人员进行了横断面在线调查。问卷收集了人口统计数据和与COVID-19疫情相关的自行设计问题。采用事件影响量表6、抑郁严重程度指数、患者健康问卷9、广泛性焦虑量表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测量心理症状或特征。二元逻辑回归分析，以探讨社会人口因素和抑郁症，焦虑，压力和失眠症状之间的关联。结果共纳入123名被试，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、关注疫情信息时间长、神经质人格与心理健康症状呈正相关，外向人格、文化程度高、社会支持好与心理健康症状呈负相关。在我们的研究中，在经历了第二波COVID-19大流行的中国喀什医务人员中，心理健康影响的发生率很高。有几个因素与心理健康状况有关。这些发现有助于识别处于心理健康问题风险中的医务人员，并有助于在死灰复燃期间制定精确的心理健康干预政策。我们的研究可能为在COVID-19大流行期间对新疆进行更多研究铺平道路。
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.
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DOI：
10.1093/geront/gnaa187
发表时间：
2021-02-23
期刊：
The Gerontologist
影响因子：
--
作者：
Nelson NA;Bergeman CS
通讯作者：
Bergeman CS
影响因子：
3.7
作者：
Duggan KA;Friedman HS;McDevitt EA;Mednick SC
通讯作者：
Mednick SC
影响因子：
4.8
作者：
Gorday, Julia Y.;Rogers, Megan L.;Joiner, Thomas E.
通讯作者：
Joiner, Thomas E.
影响因子：
2.9
作者：
Robillard R;Saad M;Edwards J;Solomonova E;Pennestri MH;Daros A;Veissière SPL;Quilty L;Dion K;Nixon A;Phillips J;Bhatla R;Spilg E;Godbout R;Yazji B;Rushton C;Gifford WA;Gautam M;Boafo A;Swartz R;Kendzerska T
通讯作者：
Kendzerska T
影响因子：
22.4
作者：
Kotov, Roman;Gamez, Wakiza;Watson, David
通讯作者：
Watson, David