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Framingham Stroke Risk Profile and poor cognitive function: a population-based study.

Authors :
Llewellyn DJ
Lang IA
Xie J
Huppert FA
Melzer D
Langa KM
Source :
BMC neurology [BMC Neurol] 2008 Apr 22; Vol. 8, pp. 12. Date of Electronic Publication: 2008 Apr 22.
Publication Year :
2008

Abstract

Background: The relationship between stroke risk and cognitive function has not previously been examined in a large community living sample other than the Framingham cohort. The objective of this study was to examine the relationship between 10-year risk for incident stroke and cognitive function in a large population-based sample.<br />Methods: Participants were 7377 adults aged 50 years and over of the 2002 wave of the English Longitudinal Study of Ageing, a prospective cohort study. A modified version of the Framingham Stroke Risk Profile (incorporating age, sex, systolic blood pressure, antihypertensive medication, diabetes, smoking status, cardiovascular disease, and atrial fibrillation) was used to assess 10-year risk of stroke. Linear regression models were used to determine the cross-sectional relationship of stroke risk to global cognitive function and performance in multiple cognitive domains.<br />Results: In unadjusted models 10 percentage point increments of 10-year stroke risk were associated with poor global cognitive function (-0.40 SD units, 95% CI -0.43 - -0.38), and lowered performance in all cognitive domains. After statistical adjustment for age, sex, testing interval and other correlates of cognitive function the association with stroke risk was attenuated though remained significant for global cognitive function (-0.06 SD units, 95% CI -0.09 - -0.03), immediate and delayed verbal memory, semantic verbal fluency and processing speed.<br />Conclusion: In individuals free from a history of stroke or dementia, high subclinical cerebrovascular disease burden was associated with worse cognitive function in multiple domains.

Details

Language :
English
ISSN :
1471-2377
Volume :
8
Database :
MEDLINE
Journal :
BMC neurology
Publication Type :
Academic Journal
Accession number :
18430227
Full Text :
https://doi.org/10.1186/1471-2377-8-12