Prevalence and predictors of depression and anxiety among medical students in Addis Ababa, Ethiopia

BACKGROUND: Depression and anxiety are among the common mental health problems among medical students and are associated with poor academic performance, disability and poor quality of life. A better understanding of the magnitude and correlates of depression and anxiety is essential for planning appropriate intervention for those population groups. However, research into depression and anxiety and the potential contributing factors is limited in low and middle-income countries including Ethiopia. Therefore, this study aimed to determine the prevalence and associated factors of depression and anxiety among medical students. METHODS: A cross-sectional study was conducted among 273 medical students selected by systematic sampling technique. Hospital anxiety and depression scale (HADS) was used to assess anxiety and depression. Binary and multivariable logistic regression models were fitted, adjusting for the potential confounding factors. Odds ratios (OR) with the corresponding 95% confidence interval (95% CI) was computed to assess the strength of association. RESULT: The prevalence of co-morbid depression and anxiety was found to be 21.20% (16.35% to 26.05%) and prevalence of depression and anxiety was 51.30% (45.37% to 57.23%) and (30.1% 24.66% to 35.54%), respectively. Multivariate analysis showed that being female [AOR 2.56, 95% CI (1.32, 4.95)], first-year educational level [AOR 12.06, 95% CI (2.18, 66.72)], second-year educational level [AOR 8.99, 95% CI (1.67, 48.45)] and those who had poor/low social support [AOR 5.36, 95% CI (2.08, 13.76)] were significantly association with anxiety. Students who were in the age interval of 18–21 years [AOR 2.42, 95% CI (1.64, 9.22)], first-year educational level [AOR 1.63, 95% CI (1.43, 6.26)], second-year educational level [AOR 1.39, 95% CI (1.17, 5.18)] and who had stressful life events [AOR 1.61, 95% CI (1.14, 2.76)] were significantly associated with depression among medical students. CONCLUSION: The current study demonstrated that a remarkable proportion of medical students are suffering from depression (51.30%), anxiety (30.10%) as well as comorbid depression and anxiety (21.20%). There was strong evidence of association between anxiety and female sex, first-year educational level, second-year educational level and having poor/low social support. Whereas a significant association was observed between depression and younger age (18–21 years old), first-year educational level, second-year educational level and having one or more stressful life events in the last 6 months. Screening of depression and anxiety among medical students was recommended. Future studies focusing on better ways of preventing and treating depression and anxiety among medical students are warranted.