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Background. This study concerns the prevalence, risk factors and prevention of depression in the adult population in three sub-counties in Mbarara district. Depression is a common mental disorder which presents with a wide array of symptoms including loss of energy, poor sleep, poor eating habits, fatigue, irritability and social withdrawal. The main objective of the present study was to determine the prevalence and factors associated with depression and to identify measures that can be implemented to reduce risk factors of the disease among adults in Nyamitanga, Rugando and Rwanyamahembe sub-counties in Mbarara district. Methods. A cross-sectional design was used to capture data from a study sample size of 383 participants who were involved in completion of screening tests for depression. Scores from a 7-item version of Hopkins Symptom Checklist for Depression were averaged and the probable depression determined for each participant using a cut-off of 1.75. Logistic regression analyses were used to examine associations between depression outcomes and socio-demographic, behavioural and medical history variables. Results. The analyses revealed that the prevalence of depression among adults in the area stands at 27.7%. Depression was significantly associated with discrimination (AOR = 2.33, 95% CI = 1.22–4.45, P = 0.010), household size (AOR = 0.54, 95% CI = 0.32–0.93, P = 0.026), level of education (primary education: AOR = 0.36, 95% CI = 0.15–0.88, P = 0.024; secondary education: AOR = 0.30, 95% CI = 0.12–0.76, P = 0.011; tertiary education: AOR = 0.37, 95% CI = 0.15–0.92, P = 0.032) and drug-abuse related problems (AOR = 4.44, 95% CI = 1.34–14.74, P = 0.015). Measures for reducing the development of depression (which were identified by study participants) include guidance and counselling, awareness campaigns and self-help projects, improved access to quality medical services as well as stress management and spiritual care services. Conclusions. These findings show that depression prevalence in the study area, estimated at 27.7%, is high and worrying. Previous studies carried out in Mbarara district and other parts of Uganda have also reported similarly high estimates. They also show that discrimination, household size, level of education and drug-abuse are important risk factors associated with the prevalence of depressive disorders. Strategies targeted at early interventions and ultimately depression prevention need urgent attention in order to reduce risk factors of the disease. |
