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

Abstract

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.

Prevalence of common mental disorders and associated factors among adults living in Harari regional state, eastern Ethiopia: a community based cross-sectional study

“…World Health Organization (WHO) report shows that 4,480,113 (4.7%) and 3,139,003 (3.3%) people in Ethiopia are estimated to suffer from depression and anxiety respectively; the total years lived with a disability was about 837,683 (10.1%) led by depressive disorder and 292,650 (3.6%) by anxiety disorder (2). Previous cross-sectional community-based studies in Jimma Town, South West Ethiopia, Illu Ababor zone, southwest Ethiopia, Silte Zone, Southern Ethiopia, in Addis Ababa, and Harari Regional State, Eastern Ethiopia reported that the prevalence of CMD among adult residents was 33.6%, 27.2%, 39.7%, 24.7%, and 14.9%, respectively (10)(11)(12)(13)(14). These past studies more focused on the southern part of Ethiopia and could not give national representative data.…”

Prevalence and associated factors of anxiety among the population in an urban area of China: a cross-sectional study

“…According to existing literature, many factors have been associated with poor mental health status among urban people, including gender, marital status, daily labour, chronic medical illness, advanced age, ethnicity and low income. 7 8 The prevalence of mental disorders among Chinese residents has been reported to be approximately 9.3% in a given year. 9 The prevalence of anxiety disorder among elderly patients with hypertension in Shanghai has grown up to 17.2% in the given 2 weeks.…”

Global Trends in the Incidence of Anxiety Disorders From 1990 to 2019: Joinpoint and Age-Period-Cohort Analysis Study

“…Notably, the incidence of ADs among male individuals increased rapidly during 2005-2010 and continued to increase until 2019 according to joinpoint analysis. This may be due to environmental changes and a more rapid pace of life [39,40]. During the study period, the world experienced a bird flu pandemic, rising oil prices, repeated terrorist attacks, and more severe natural disasters [41][42][43][44].…”