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Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey.

ABSTRACT: China has been severely affected by Coronavirus Disease 2019(COVID-19) since December, 2019. We aimed to assess the mental health burden of Chinese public during the outbreak, and to explore the potential influence factors. Using a web-based cross-sectional survey, we collected data from 7,236 self-selected volunteers assessed with demographic information, COVID-19 related knowledge, generalized anxiety disorder (GAD), depressive symptoms, and sleep quality. The overall prevalence of GAD, depressive symptoms, and sleep quality of the public were 35.1%, 20.1%, and 18.2%, respectively. Younger people reported a significantly higher prevalence of GAD and depressive symptoms than older people. Compared with other occupational group, healthcare workers were more likely to have poor sleep quality. Multivariate logistic regression showed that age (< 35 years) and time spent focusing on the COVID-19 (≥ 3 hours per day) were associated with GAD, and healthcare workers were at high risk for poor sleep quality. Our study identified a major mental health burden of the public during the COVID-19 outbreak. Younger people, people spending too much time thinking about the outbreak, and healthcare workers were at high risk of mental illness. Continuous surveillance of the psychological consequences for outbreaks should become routine as part of preparedness efforts worldwide.

SUBMITTER: Huang Y

PROVIDER: S-EPMC7152913 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveTo assess the prevalence of anxiety and depressive symptoms and the associated risk factors among Tunisian medical residents.DesignCross-sectional survey.SettingFaculty of Medicine, Tunis.ParticipantsAll Tunisian medical residents brought together between 14 and 22 December 2015 to choose their next 6-month rotation.InterventionThe items of the Hospital Anxiety and Depression (HAD) questionnaire were employed to capture the prevalence of anxiety and/or depression among the residents. The statistical relationships between anxiety and depression (HAD score) and sociodemographic and work-related data were explored by Poisson regression.Results1700 out of 2200 (77%) medical residents (mean age: 28.5±2 years, female: 60.8%) answered the questionnaire. The mean working hours per week was 62±21 hours; 73% ensured a mean of 5.4±3 night shifts per month; and only 8% of them could benefit from a day of safety rest. Overall, 74.1% of the participating residents had either definite (43.6%) or probable (30.5%) anxiety, while 62% had definite (30.5%) or probable (31.5%) depression symptoms, with 20% having both definite anxiety and definite depression. The total HAD score was significantly associated with the resident's age (OR=1.014, 95% CI 1.006 to 1.023, p=0.001); female gender (OR=1.114, 95% CI 1.083 to 1.145, p<0.0001); and the heavy burden of work imposed on a weekly or monthly basis, as reflected by the number of night shifts per month (OR=1.048, 95% CI 1.016 to 1.082, p=0.03) and the number of hours worked per week (OR=1.008, 95% CI 1.005 to 1.011, p<0.0001). Compared with medical specialties, the generally accepted difficult specialties (surgical or medical-surgical) were associated with a higher HAD score (OR=1.459, 95% CI 1.172 to 1.816, p=0.001).ConclusionTunisian residents experience a rate of anxiety/depression substantially higher than that reported at the international level. This phenomenon is worrying as it has been associated with an increase in medical errors, work dissatisfaction and attrition. The means of improving the well-being of Tunisian medical residents are explored, emphasising those requiring immediate implementation.

Project description:BackgroundThe Coronavirus Disease 2019 (COVID-19) pandemic has triggered fear and distress among the public, thus potentiating the incidence rate of anxiety and depression. This study aims to investigate the psychological effect of quarantine on persons living in Morocco when the first COVID-19 cases were identified. The associations between anxiety, depression symptoms, and their predictors (sociodemographics, fatigue, and religious coping) were examined.MethodsA web-based cross-sectional survey, with a total of 1435 participants (≥18 years) recruited anonymously, was conducted during the COVID-19 pandemic (from 3 to 30 April 2020). A structured questionnaire was used to assess psychosocial factors, COVID-19 epidemic-related factors, and religious coping. Religious coping, fatigue, and depression, and anxiety were measured by Brief Religious Coping Scale (Brief RCOPE), Chalder Fatigue Scale (CFS), and Hospital Anxiety and Depression Scale (HADS), respectively. A generalized linear model (logistic regression) was used to determine the predictive factors of depression and anxiety.ResultsThe prevalence of anxiety and depression was 43.0% (n = 621) and 53.0% (n = 766), respectively. Both were associated with female gender, household income decline, tracking COVID-19 news, and fear to contract COVID-19 (aOR = 1.36 to 2.85). Additionally, 32.0% (n = 453) and 26.0% (n = 372) reported severe physical fatigue, and mental fatigue, respectively. Both latter factors were significantly and positively associated with depression as well as with anxiety. Depressive and anxious patients used more negative religious coping, while positive religious coping was slightly associated with depression.ConclusionIn this online survey of the general population in Morocco, anxiety and depressive symptoms are prevalent during the COVID-19 pandemic. Pandemic and psychosocial factors, such as female gender, income decline, infection fears, massive COVID-19 news exposure, negative religious coping, and fatigue were associated with increased risk of depression and anxiety symptoms. Psychosocial and financial support should be provided to the quarantined population.

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Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey.

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