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 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<0.001). The HR group showed higher penalty scores in the Intersection task (p<0.001) and the Overtaking and Rain tasks (p<0.05 both). The verbal learning score was significantly lower in the HR group (median=33, range=12-57) compared with the NR group (median=38, range=23-57, p<0.05), and it was observed that this score had the best predictive value for worse driving performance in the regression model. General cognitive screening tests (Mini-Mental State Examination and Addenbrooke's Cognitive Evaluation) were similar between the groups (p>0.05), with a small effect size (Cohen’s d=0.3 both). Conclusion: The verbal learning score may be a better predictor of driving risk than cognitive screening tests. High-risk drivers also showed significantly higher traffic driving penalty scores in the Intersection, Overtaking, and Rain tests.

Weitere Titel
Aprendizado verbal como preditor de risco de acidentes em idosos
Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Verbal Learning as a predictor of risks of accidents in elderly drivers ; volume:80 ; number:01 ; year:2022 ; pages:30-36
Arquivos de neuro-psiquiatria ; 80, Heft 01 (2022), 30-36

Beteiligte Personen und Organisationen
Vasques, Adriana Machado
Borelli, Wyllians Vendramini
Pinho, Márcio Sarroglia
Portuguez, Mirna Wetters

DOI
10.1590/0004-282X-ANP-2021-0054
URN
urn:nbn:de:101:1-2023031610412180077218
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:56 MESZ

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Beteiligte

  • Vasques, Adriana Machado
  • Borelli, Wyllians Vendramini
  • Pinho, Márcio Sarroglia
  • Portuguez, Mirna Wetters

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