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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.
Front Public Health. 2021; 9:671400.FP

Abstract

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.

Authors+Show Affiliations

Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China. First People's Hospital of Kashi, Xinjiang, China.Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.First People's Hospital of Kashi, Xinjiang, China.Guangdong San-jiu Brain Hospital, Guangzhou, China.First People's Hospital of Kashi, Xinjiang, China.First People's Hospital of Kashi, Xinjiang, China.First People's Hospital of Kashi, Xinjiang, China.First People's Hospital of Kashi, Xinjiang, China.First People's Hospital of Kashi, Xinjiang, China.Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

34079787

Citation

Zhao, Yongzhi, et al. "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." Frontiers in Public Health, vol. 9, 2021, p. 671400.
Zhao Y, Guo J, Liu S, et al. 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. Front Public Health. 2021;9:671400.
Zhao, Y., Guo, J., Liu, S., Aizezi, M., Zeng, Q., Sidike, A., Abliz, R., Kudireti, A., Xie, Y., Taineikuli, A., & Zhang, B. (2021). 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. Frontiers in Public Health, 9, 671400. https://doi.org/10.3389/fpubh.2021.671400
Zhao Y, et al. 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. Front Public Health. 2021;9:671400. PubMed PMID: 34079787.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 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. AU - Zhao,Yongzhi, AU - Guo,Junlong, AU - Liu,Shuai, AU - Aizezi,Muyeseer, AU - Zeng,Qiong, AU - Sidike,Ashenggu, AU - Abliz,Raziya, AU - Kudireti,Aisikaerjiang, AU - Xie,Yan, AU - Taineikuli,Atikan, AU - Zhang,Bin, Y1 - 2021/05/17/ PY - 2021/02/24/received PY - 2021/04/07/accepted PY - 2021/6/3/entrez PY - 2021/6/4/pubmed PY - 2021/6/8/medline KW - COVID-19 KW - medical staff KW - mental health KW - pandemic KW - resurgence SP - 671400 EP - 671400 JF - Frontiers in public health JO - Front Public Health VL - 9 N2 - 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. SN - 2296-2565 UR - https://www.unboundmedicine.com/medline/citation/34079787/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_ L2 - https://doi.org/10.3389/fpubh.2021.671400 DB - PRIME DP - Unbound Medicine ER -