Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis

Abstract

Abstract Introduction Primary studies have estimated the prevalence of depression and its determinants among diabetes patients. However, studies synthesizing this primary evidence are limited. Hence, this systematic review aimed to determine the prevalence of depression and identify determinants of depression among diabetes in Ethiopia. Methods This systematic review and meta-analysis included a search of PubMed, Google Scholar, Scopus, Science Direct, PsycINFO, and Cochrane library. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 14). Data were pooled using a random-effects model. Forest plots, and Egger’s regression test were all used to check for publication bias. Heterogeneity (I)2 was computed. Subgroup analysis was done by region, publication year, and depression screening instrument. In addition, the pooled odds ratio for determinants was calculated. Results Sixteen studies, including 5808 participants were analyzed. The prevalence of depression in diabetes was estimated to be 34.61% (95% CI: 27.31–41.91). According to subgroup analysis by study region, publication year, and screening instrument, the highest prevalence was observed in Addis Ababa (41.98%), studies published before 2020 (37.91%), and studies that used Hospital Anxiety and Depression Scale (HADS-D) (42.42%,) respectively. Older age > 50 years (AOR = 2.96; 95% CI: 1.71–5.11), being women (AOR = 2.31; 95% CI: 1.57, 3.4), longer duration with diabetes (above 5 years) (AOR = 1.98; 95% CI: 1.03–3.8), and limited social support (AOR = 2.37; 95% CI: 1.68–3.34), were the determinants of depression in diabetic patients. Conclusion The results of this study suggest that the prevalence of depression in diabetes is substantial. This result underscores the importance of paying particular attention to prevent depression among diabetes. Being older, not attending formal education, longer duration with diabetes, having comorbidity, and low adherence to diabetes management were all associated. These variables may help clinicians identify patients at high risk of depression. Future studies focusing on the causal association between depression and diabetes are highly recommended.