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Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia

BACKGROUND: Although 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...

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Autores principales: Vojtikiv-Samoilovska, Danijela, Arsovska, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Republic of Macedonia 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985879/
https://www.ncbi.nlm.nih.gov/pubmed/29875846
http://dx.doi.org/10.3889/oamjms.2018.201
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author Vojtikiv-Samoilovska, Danijela
Arsovska, Anita
author_facet Vojtikiv-Samoilovska, Danijela
Arsovska, Anita
author_sort Vojtikiv-Samoilovska, Danijela
collection PubMed
description BACKGROUND: Although 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. AIM: The 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 METHODS: We 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). RESULTS: The 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. CONCLUSION: The socio-demographic characteristics of the patients with PSD cannot be considered as predictors of the disease.
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spelling pubmed-59858792018-06-06 Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia Vojtikiv-Samoilovska, Danijela Arsovska, Anita Open Access Maced J Med Sci Clinical Science BACKGROUND: Although 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. AIM: The 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 METHODS: We 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). RESULTS: The 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. CONCLUSION: The socio-demographic characteristics of the patients with PSD cannot be considered as predictors of the disease. Republic of Macedonia 2018-05-14 /pmc/articles/PMC5985879/ /pubmed/29875846 http://dx.doi.org/10.3889/oamjms.2018.201 Text en Copyright: © 2018 Danijela Vojtikiv-Samoilovska, Anita Arsovska. http://creativecommons.org/licenses/CC BY-NC/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
spellingShingle Clinical Science
Vojtikiv-Samoilovska, Danijela
Arsovska, Anita
Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title_full Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title_fullStr Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title_full_unstemmed Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title_short Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia
title_sort socio-demographic characteristics of the patients with a post stroke depression from the municipality of tetovo, republic of macedonia
topic Clinical Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985879/
https://www.ncbi.nlm.nih.gov/pubmed/29875846
http://dx.doi.org/10.3889/oamjms.2018.201
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