SynthesisBMC psychiatry2023
Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prevalence and risk factors of depression in patients with diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Systematic review and meta-analysis on the prevalence and associated factors of depression among hypertensive patients in Ethiopia.PloS one · 2024Pooled it
- Article
- Prevalence of Depression and Associated Factors Among Adult Diabetic Men on Follow-Up at Goba and Robe Hospitals: Institution-Based Cross-Sectional Study.Health science reports · 2026Article
- Systematic review and meta-analysis on depression burden among Type 2 diabetes patients in India.Diabetology & metabolic syndrome · 2026Review
- A bibliometric analysis of systematic reviews and meta-analyses on diabetes mellitus: global research trends from scopus database (1988-2024).Cardiovascular diabetology. Endocrinology reports · 2026Review
- Burden and associated factors of depressive symptoms among older adults with type 2 diabetes mellitus in rural southeast Nigeria: a community-based cross-sectional study.BMJ public health · 2026Article
- Ethnic Differences in the Prevalence of Mental Health Disorders Among Individuals with Diabetes: A Systematic Review and Meta-analysis.Journal of racial and ethnic health disparities · 2025Article
- Article
- What makes reversal: examining the moderating effect of being a state functionary on occupational status and depression among middle-aged and older people in China.Journal of occupational health · 2025Article
- Depression in Cardiac Patients Is a Major Cardiovascular Event Risk Factor: A 12-Month Observational Study.Journal of clinical medicine · 2024Article
- Emerging global interest: Unraveling the link between diabetes mellitus and depression.World journal of psychiatry · 2024Article
- Depression and associated factors among patients with type 2 diabetic mellitus in Ethiopia: a cross sectional study.Frontiers in psychiatry · 2024Article
- Exploring the association between depression and diabetes among type 1 and type 2 diabetic mellitus patients: A cross-sectional study in Gujarat, India.Industrial psychiatry journalArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
introductionPrimary 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.
methodsThis 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)
resultsSixteen 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.
conclusionThe 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.
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