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1.
Huanjing yu Zhiye Yixue = Journal of Environmental & Occupational Medicine ; 38(6):624, 2021.
Article in English | ProQuest Central | ID: covidwho-1318592

ABSTRACT

[Background] The epidemic of coronavirus disease 2019(COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease.[Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic.[Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder-7(GAD-7), and Insomnia Severity Index(ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis(forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression(b=1.73, 95% CI: 0.79-2.66) and insomnia(b=2.43, 95% CI: 1.48-3.39) and a higher risk of insomnia(OR=1.89, 95% CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression(b=1.72, 95% CI: 0.65-2.80), anxiety(b=1.75, 95% CI: 0.76-2.75), and insomnia(b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression(OR=1.97, 95% CI: 1.11-3.49), anxiety(OR=3.00, 95% CI: 1.64-5.46), and insomnia(OR=1.79, 95% CI: 1.08-2.96).[Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff.

2.
Front Psychiatry ; 11: 306, 2020.
Article in English | MEDLINE | ID: covidwho-151710

ABSTRACT

OBJECTIVE: The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak. METHOD: Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms. RESULT: There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, p = 0.042, 95% CI = 1.0-7.0), being a doctor (OR = 0.44, p = 0.007, 95% CI = 0.2-0.8), currently working in an isolation unit (OR = 1.71, p = 0.038, 95% CI = 1.0-2.8), is worried about being infected (OR = 2.30, p < 0.001, 95% CI = 1.6-3.4), perceived lack of helpfulness in terms of psychological support from news or social media with regard to COVID-19 (OR = 2.10, p = 0.001, 95% CI = 1.3-3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, p = 0.013, 95% CI = 1.3-8.5). CONCLUSION: Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.

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