Magnitude of common mental disorders and factors associated among people living in Addis Ababa Ethiopia 2018: community based cross-sectional study.

BACKGROUND: Common mental disorders are a group of distress states manifesting with anxiety, depressive and unexplained somatic symptoms, affecting individuals in different age groups, causes suffering to the individuals, families and community. OBJECTIVE: This study assessed the magnitude of Common mental disorder and associated factors among people living in Addis Ababa, Ethiopia. METHODS: Community based cross sectional study design was conducted from November 1 to 30, 2018 among people living in Addis Ababa, Ethiopia. Multistage sampling technique was used to get a total of 755 samples. Common Mental Disorder was assessed through interview using Self-Reported questionnaire (SRQ-20). The collected data were coded, entered into EPI-Info 7 and analysed by using SPPS version 20. Descriptive, analytical statistical procedure; bivariate and multivariate binary logistic regressions with odds ratios and 95% confidence interval was employed. The statistical significance was accepted at p value < 0.05. RESULT: In this study a total of 723 study subjects were participated, with response rate of 95.7%.The prevalence of common mental disorders was 24.7% with [95%CI; 21.6 - 27.7]. Females (AOR=2.1; 95% CI; 1.39- 3.23), Divorced/widowed (AOR=2.55; 95% CI; 1.16- 5.59), daily labourers (AOR=2.52; 95% CI; 1.3- 4.88, chronic medical illness (AOR=4.5; 95% CI; 2.46- 8.24). are independent predictors of CMD and educational status (primary, secondary and diploma) was positively associated with CMD. in this study. Regarding education (primary, secondary and diploma) (AOR=0.34; 95% CI; 0.17-0.66) and (AOR=0.35; 95% CI; 0.19-0.67) has positively associated with common mental disorders. CONCLUSION: The prevalence of common mental disorders was found high. Female sex, marital status like Divorced/Widowed, daily labour workers and chronic medical illness were found to be independent predictors of CMD and educational status (primary, secondary school and diploma holders) was were found to be protective factors.

Mental Health Outcomes among Frontline Health-Care Workers at Eka Kotebe National COVID-19 Treatment Center, Addis Ababa, Ethiopia, 2020: A Cross-Sectional Study.

Background: The COVID-19 pandemic has resulted in many frontline health-care workers vulnerable to developing various mental health conditions. This study aimed to determine prevalence and associated factors of such conditions among frontline workers at Eka Kotebe National COVID-19 Treatment Center in Addis Ababa, Ethiopia. Methods: This institution-based cross-sectional study was conducted between May and June 2020 on 280 frontline workers. Mental health outcomes (depression, anxiety, insomnia, and posttraumatic stress disorder) were assessed using the Patient Health Questionnaire9, Generalized Anxiety Disorder 7 questionnaire, PTSD Checklist - civilian version, and Pittsburgh Sleep Quality Index. Responses were coded, entered into EpiData 3.1 and analyzed using SPSS 20. Associations between outcomes and independent variables were identified using bivariate and multivariate logistic regressions, statistical significance set at p<0.05. Results: A total of 238 subjects participated in the study, with a response rate of 85%. Estimated prevalence was 31.1% (95% CI 24.8%-37%) for anxiety, 27.3% (95% CI 21.8%-32.4%) for depression, 16% (95% CI 11.3%-21%) for PTSD, and 40.8% (95% CI 33.6%-47.5%) for insomnia. Female sex (AOR 2.99, 95% CI 1.49-5.97), being married, (AOR 13.2, 95% CI 3.42-50.7), being single (AOR 11.5, 95% CI 3.38-39.8), duration of exposure 1-2 hours (AOR 0.29, 95% CI 0.14-0.64), and assigned place of work (critical ward -AOR 2.26, 95% CI 1.03-4.97; ICU - AOR 4.44, 95% CI 1.51-13.05) were found to be significant predictors of depression. Conclusion: We found a high estimated prevalence of mental health outcomes. Sex, marital status, duration of exposure, and assigned place of work were found to be associated with depression.