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Malaysian Journal of Medical Sciences
School of Medical Sciences, Universiti Sains Malaysia
ISSN: 1394-195X
Vol. 23, No. 2, 2016, pp. 53-64
Bioline Code: mj16020
Full paper language: English
Document type: Research Article
Document available free of charge

Malaysian Journal of Medical Sciences, Vol. 23, No. 2, 2016, pp. 53-64

 en The Influence of Demographic, Clinical, Psychological and Functional Determinants on Post-stroke Cognitive Impairment at Day Care Stroke Center, Malaysia
Mohd Zulkifly, Mohd Faizal; Ghazali, Shazli Ezzat; Che Din, Normah & Subramaniam, Ponnusamy

Abstract

Background: This study aims to estimate the prevalence and explore the predictors for post-stroke cognitive impairment at the community level in Malaysia.
Methods: A total of 50 stroke patients aged 29 to 81–year-old were included in this study. A face to face interview was conducted to gather the demographic and clinical data. Subsequently, assessments including Barthel ADL Index (BI), Addenbrooke\'s Cognitive Examination-Revised (ACE-R) and Hospital Anxiety and Depression Scale (HADS) were administered to the subjects.
Results: The results showed that the prevalence of cognitive impairment was 76% among the studied populations. The subjects’ race (Fisher’s value= 9.56, P < 0.05) and education level (Fisher’s value = 7.29, P < 0.05) were significantly associated with the cognitive status. The depression score was significantly higher in cognitively impaired group [t (48) = –4.42, P < 0.001] while the Barthel Index score was significantly lower in cognitively impaired group (median = 18.00, P < 0.05). The univariate logistic analysis demonstrated that Chinese (OR 7.33, 95% CI = 1.61–33.51), lower education level (OR 9.33, 95% CI = 0.89–97.62), right sided lesion (OR 0.29, 95% CI = 0.06–1.54), left face weaknesses (OR 0.40, 95% CI 0.09–1.83), high cholesterol (OR 0.45, 95% CI = 0.12–1.75), depression (OR 2.16, 95% CI = 0.85–1.35), and Barthel Index (OR 0.79, 95% CI = 0.57–1.10) were significant predictors. Finally, multivariate logistic regression verified that depression was the only significant predictor of post-stroke cognitive impairment (OR 2.03, 95% CI = 1.20–3.45).
Conclusion: In conclusion, the prevalence of cognitive impairment in this study was higher than other community based studies and depression was a risk factor for cognitive impairment.

Keywords
stroke; mild cognitive impairment; risk factors; depression; cerebrovascular disorders

 
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Alternative site location: http://www.medic.usm.my/publication/mjms/

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