ArticleOpen access Macedonian journal of medical sciences2018
Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia.
Article in Open access Macedonian journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Assessment of Socio-Demographic and Clinical Characteristics of Stroke Patients of a Tertiary Hospital in Bangladesh: A Cross-Sectional Study.Health science reports · 2026Article
- Patients' knowledge, attitude, and practice toward stroke rehabilitation: a web-based cross-sectional study.Frontiers in public health · 2025Article
- PREDICTORS OF EARLY-ONSET DEPRESSION AFTER FIRST-EVER STROKE.Acta clinica Croatica · 2020Article
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Abstract
backgroundAlthough post-stroke depression (PSD) is the most common neuro-psychiatric consequence after a stroke there is still some obscurity regarding its aetiology and risk factors, which complicates its management. A better knowledge of the predictors will enable better prevention and treatment.
aimThe aim of this work was the identification of the risk factors for PSD, typical for the Macedonian population, which will help in early prediction, timely diagnosis and treatment of the disease. MATERIALS AND
methodsWe carried out a prospective study at the Clinical Hospital in Tetovo, the Republic of Macedonia to determine the prevalence of PSD and to analyse the socio-demographic characteristics as possible risk factors in 100 patients on discharge and after 5 months. The depression symptoms were quantified using the Hamilton Depression Ranking Scale (HAM-d) and the Geriatric Depression Scale (GDS).
resultsThe average age of the patients with PSD on the first examination is 65.0 ± 8.3, whereas on the second examination is 64.5 ± 9.2. According to the Mann-Whitney U test, the difference between the average ages on both examinations is statistically insignificant for p > 0.05. On both examinations, the statistically significant dependence of p > 0.05 between PSD and the occupational status and PSD and education is not recorded. On both examinations, the PSD in male patients was 78.0% and 62.7%, while in female patients it was 85.4% and 68.3% not recording the statistically significant dependence of p < 0.05 between PSD and the gender.
conclusionThe socio-demographic characteristics of the patients with PSD cannot be considered as predictors of the disease.
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