Verbal Learning as a predictor of risks of accidents in elderly drivers
ABSTRACT Background: Age-related cognitive decline impacts cognitive abilities essential for driving. Objective: We aimed to measure main cognitive functions associated with a high number of traffic violations in different driving settings. Methods: Thirty-four elderly individuals, aged between 6...
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Veröffentlicht in: | Arquivos de neuro-psiquiatria 2022-01, Vol.80 (1), p.30-36 |
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Sprache: | eng |
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Zusammenfassung: | ABSTRACT
Background:
Age-related cognitive decline impacts cognitive abilities essential for driving.
Objective:
We aimed to measure main cognitive functions associated with a high number of traffic violations in different driving settings.
Methods:
Thirty-four elderly individuals, aged between 65 and 90 years, were evaluated with a driving simulator in four different settings (Intersection, Overtaking, Rain, and Malfunction tasks) and underwent a battery of cognitive tests, including memory, attention, visuospatial, and cognitive screening tests. Individuals were divided into two groups: High-risk driving (HR, top 20% of penalty points) and normal-risk driving (NR). Non-parametric group comparison and regression analysis were performed.
Results:
The HR group showed higher total driving penalty score compared to the NR group (median=29, range= 9-44 vs. median=61, range= 47-97, p |
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ISSN: | 0004-282X 1678-4227 1678-4227 |
DOI: | 10.1590/0004-282X-ANP-2021-0054 |