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

Authors

  • Danijela Vojtikiv-Samoilovska Clinical Hospital, Tetovo http://orcid.org/0000-0002-7331-2262
  • Anita Arsovska Clinic of Neurology, Faculty of Medicine, Ss Cyril and Methodius University of Skopje, Skopje

DOI:

https://doi.org/10.3889/oamjms.2018.201

Keywords:

PSD, age, education, gender, nationality, occupational status

Abstract

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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References

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Published

2018-05-14

How to Cite

1.
Vojtikiv-Samoilovska D, Arsovska A. Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia. Open Access Maced J Med Sci [Internet]. 2018 May 14 [cited 2021 Dec. 7];6(5):782-5. Available from: https://oamjms.eu/index.php/mjms/article/view/oamjms.2018.201

Issue

Section

B - Clinical Sciences