Background: COVID-19 is a viral infectious disease that spreads quickly through droplets. It is highly contagious and could overwhelm the health system. Because of that, many governments established health quarantines for suspected infected people to minimize the spread of this disease.
Objective: This study aimed to assess the prevalence of depression, anxiety, and stress symptoms and to address the associated risk factors among quarantined non-healthcare workers, quarantined healthcare workers, and medical staff in the Ministry of Health quarantine facility.
Patients And Methods: We conducted an analytical cross-sectional study at the health quarantine in Jazan, Saudi Arabia. The total number of participants was 301 individuals. Furthermore, the study questionnaire was composed of three sections, the first two were the background and clinical characteristics, and the last one was DASS 21 scale. Also, we used SPSS software to analyze the data. Lastly, we implemented logistic regression to assess the predictors of depression, anxiety, and stress symptoms.
Results: The prevalence of depression, anxiety, and stress symptoms among quarantined non-healthcare workers were 51.9%, 60.2%, and 40.6%, respectively. These prevalences were 25.0%, 29.8%, and 16.9% among quarantined healthcare workers and 20.5%, 20.5%, and 27.3% among the medical staff. The predictors of depression, anxiety, and stress symptoms among the study participants were female gender, perceived COVID-19 stigma, presence of other relatives in quarantine, comorbidities, and abnormal sleep duration.
Conclusion And Recommendations: Health quarantine is an environment that could negatively affect people's mental health. The quarantined non-healthcare workers were the most affected study participants inside this environment. Therefore, the availability of mental health services there could minimize their depression, anxiety, and stress symptoms. Moreover, a home quarantine would be better to reduce these negative symptoms whenever possible.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124059 | PMC |
| http://dx.doi.org/10.2147/PRBM.S362712 | DOI Listing |
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