ArticleBMC neurology2024
Prevalence and associated factors of post-stroke depression among patients on follow-up at medical referral clinics of Bahir Dar city public specialized hospitals.
Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Current Progress of Mechanisms Underlying Post-Stroke Depression and Music Therapy.Chinese journal of integrative medicine · 2026Review
- Admission Health Literacy and Depressive Symptoms 3 Months After Discharge in Home-Discharged Acute Stroke Patients: A Prospective Cohort Study.International journal of behavioral medicine · 2026Article
- When care demands rise: Exploring the impact of hemiparesis dependency and healthcare challenges among caregivers at a tertiary hospital in Bhubaneswar.Journal of education and health promotion · 2026Article
- Prevalence and factors associated with post-stroke depression: a cross-sectional analysis of a prospectively assembled cohort in Eastern Saudi Arabia.Frontiers in neurology · 2026Article
- Serum prealbumin at admission is associated with post-stroke depression at 3 months in patients with spontaneous intracerebral hemorrhage.Frontiers in psychiatry · 2026Article
- Poststroke anxiety and depression: epidemiology, mechanisms, and management strategies.Frontiers in psychiatry · 2026Review
- Post-stroke depression prevalence and associated factors at Hawassa University Hospital, Ethiopia: A prospective cross-sectional study.PCN reports : psychiatry and clinical neurosciences · 2025Article
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5 authors.
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Abstract
backgroundPost-stroke depression is among the most common neuropsychiatric complications in stroke survivors. Post-stroke depression is commonly under-recognized and under-treated. This study aimed to assess the prevalence and associated factors of post-stroke depression among patients on follow-up at medical referral clinics of Bahir Dar City public specialized hospitals.
methodAn institutional-based prospective cross-sectional study was conducted from September to December 2023 on 394 patients. Public Health Questionnaire-9 was used to diagnose depression. Data was checked for cleanness manually and then exported to SPSS version 25 software for analysis. A systematic randomized sampling method was used to identify study participants. Bivariate and multivariate logistic regression analysis was performed to identify independent predictors of post-stroke depression. A p-value less than 0.05 is considered as significant with a 95% confidence interval.
resultThe overall prevalence of post-stroke depression was found to be 42.9%. Employment status (AOR = 0.282, 95% CI: 0.112-0.709 C, P-value = 0.007), depression before stroke (AOR = 3.237, 95% CI: 1.098-9.544, P-value = 0.033), ischemic heart disease (AOR = 4.090, 95% CI: 1.745-9.583, P-value = 0.001) and physical disability (AOR = 4.051 95% CI: 2.239-7.332, P-value = 0.000) were found to be statistically significant independent predictors of post-stroke depression (PSD).
conclusionThe prevalence of post-stroke depression was found to be high relative to other similar studies. Patients with known depression before stroke, ischemic heart disease, and significant physical disability were at a higher risk of developing PSD. Employed patients had less risk of developing PSD. Sufficient and comprehensive evaluation of stroke patients for depression is recommended.
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