SynthesisPloS one2024
Prevalence of depression among medical students in Africa: Systematic review and meta-analysis.
Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of depressive symptoms among medical students in Pakistan: a systematic review and meta-analysis.BMJ open · 2026Pooled it
- Mental health disorders among Sudanese medical students amid the 2023 conflict: prevalence, predictors, and implications.BMC psychiatry · 2026Article
- Prevalence, Digital Tools, and Management Strategies for Depression in Medical Students: A Narrative Review.Advances in medical education and practice · 2026Review
- Prevalence and epidemiology of depression symptoms among Pakistani students: a systematic review and meta-analysis (2000-2025).Global mental health (Cambridge, England) · 2026Review
- Predicting depressive symptoms among Polish university students through sociodemographic and lifestyle factors.Scientific reports · 2025Article
- The mediating role of self-compassion in the relationship between big five personality traits and depression among Chinese preclinical medical students: a multicenter cross-sectional study.BMC psychiatry · 2025Article
- Depression among medical students in Bangladesh: a systematic review and meta-analysis protocol on prevalence and associated factors.BMJ open · 2025Article
- Article
- Article
- Anxiety and depressive symptoms among medical students-A scoping review of systematic reviews and meta-analyses.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDepression has become a major health problem that students in a University encounter during their study life. At least one-third and possibly up to one-half of medical students show some form of psychological distress during their medical school. Aggregated evidence is scarce in Africa though there are published articles with various outputs. Therefore, this systematic review and meta-analysis aimed to pool those outputs to draw concert information crucial for devising strategies to tackle depression among students at the University.
objectiveTo determine the pooled prevalence of depression among African medical students.
methodOriginal articles about the prevalence of depression among African medical students were searched through known and international databases (PubMed, Scopus, Web of Science, and Cochran Library) and search engines (Google and Google Scholar). Data were extracted using a standard data extraction checklist that was developed according to Joanna Briggs Institute (JBI). The I2 statistics were used to identify heterogeneity across studies. Funnel plot asymmetry and Egger's tests were used to check for publication bias. A Random effect model was used to estimate the pooled prevalence of depression among medical students in Africa. Statistical analysis was conducted using STATA version 11 software.
resultA total of 31 cross-sectional observational studies which provided information about the prevalence of depression among medical students were included in this systematic review and meta-analysis. The overall pooled prevalence of depression among medical students in Africa was 38.80% [95%CI (29.55, 48.05). Being a female medical student was [AOR = 0.25, 95%CI (0.15, 0.42)] and being a second-year medical student was [AOR = 0.26, 95%CI (0.10, 0.68)] times less likely to have depression.
conclusionDepression affects well over one-third of medical students in Africa. Moreover, this systematic review and meta-analysis revealed that female medical students were less likely to develop depression. Therefore, this result suggested that medical schools or Universities and concerned authorities better offer possible early detection and prevention programs as per the magnitude. Furthermore, there has to be further research to figure out the potential factors perhaps using both qualitative and quantitative research approaches.
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