RISK FACTORS FOR POST-STROKE DEPRESSION

Author(s):  
PETER BURVILL ◽  
GLORIA JOHNSON ◽  
KONRAD JAMROZIK ◽  
CRAIG ANDERSON ◽  
EDWARD STEWART-WYNNE
2018 ◽  
Vol 6 (5) ◽  
pp. 782-785 ◽  
Author(s):  
Danijela Vojtikiv-Samoilovska ◽  
Anita Arsovska

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.


2006 ◽  
Vol 18 (1) ◽  
pp. 19-35 ◽  
Author(s):  
I. Aben ◽  
J. Lodder ◽  
A. Honig ◽  
R. Lousberg ◽  
A. Boreas ◽  
...  

Background: Both the lesion location hypothesis and the vascular depression hypothesis have been proposed to explain the high incidence of depression in stroke patients. However, research studying both hypotheses in a single cohort is, at present, scarce.Objective: To test the independent effects of lesion location (left hemisphere, anterior region) and of co-occurring generalized vascular damage on the development of depression in the first year after ischemic stroke, while other risk factors for depression are controlled for.Methods: One hundred and ninety consecutive patients with a first-ever, supratentorial infarct were followed up for one year. CT was performed in the acute phase of stroke, while in 75 patients an additional MRI scan was also available. Depression was assessed at 1, 3, 6, 9, and 12 months after stroke using self-rating scales as screening tools and the SCID-I to diagnose depression according to DSM-IV criteria.Results: Separate analyses of the lesion location hypothesis and the vascular depression hypothesis failed to reveal significant support for either of these biological models of post-stroke depression. Similar negative results appeared from one overall, multivariate analysis including variables of both focal and generalized vascular brain damage, as well as other non-cerebral risk factors. In addition, level of handicap and neuroticism were independent predictors of depression in this cohort, as has been reported previously.Conclusion: This study supports neither the lesion location nor the vascular depression hypothesis of post-stroke depression. A biopsychosocial model including both premorbid (prior to stroke) vulnerability factors, such as neuroticism and (family) history of depression, as well as post-stroke stressors, such as level of handicap, may be more appropriate and deserves further study.


2021 ◽  
Vol 9 (2) ◽  
pp. 75
Author(s):  
Enra Suljic ◽  
Nevena Mahmutbegovic ◽  
Admir Mehicevic ◽  
Merjema Arnautovic ◽  
Dzemaluddin Mulalic ◽  
...  

Author(s):  
Yu Shi ◽  
Dongdong Yang ◽  
Yanyan Zeng ◽  
Wen Wu

Sign in / Sign up

Export Citation Format

Share Document