Prevalence of Depression and Associated Factors Among Quarantined Individuals During the COVID-19 Pandemic in Tigrai Treatment and Quarantine Centers, Tigrai, Ethiopia, 2020: A Cross-Sectional Study.

ABSTRACT

AIM: The global impact of COVID-19 on mental health increases from time to time. Several studies show that depression is highly prevalent among quarantined individuals. COVID-19 is a pandemic with a rapidly increasing incidence of infections and deaths. People are depressed and psychologically overwhelmed by the illness and possible loss of their friends and loved ones. OBJECTIVE: To assess the prevalence and associated factors of depression symptoms among quarantined individuals in Tigrai treatment center, Tigrai, Ethiopia, 2020. METHODS: A multicenter Institution-based cross-sectional study was employed among individuals in the Tigrai quarantine centers. A simple random sampling technique was used between April and October 2020 until an adequate sample size was reached. Depression was assessed by using the depression, anxiety, and stress scale (DASS). Epi data manager version 4.4 was used to enter data and data was analyzed using SPSS version 20. Logistic regression was carried out and an odds ratio with 95% confidence intervals (CI) was computed to identify factors associated with depression. A P-value of less than 0.05 was considered as statistically significant and the strength of the association was presented by an odds ratio of 95% CI. RESULTS: The finding of the present study on the prevalence of depression among quarantined individuals was 18.1 with 95% CI (14.8-22.9). Bivariate and multivariable logistic regression analysis was performed and factors such as being female, duration of quarantine, unemployment, and having perceived stigma were significantly associated with depression. RECOMMENDATION AND CONCLUSION: The prevalence of depression symptoms among quarantined individuals during the COVID-19 pandemic was 18.1%. In multivariable logistic regression analysis, being female, duration of quarantine, unemployment, and having perceived stigma were significantly associated with depression. So, clinicians, mental health professionals, and policymakers should work together to address the problem.