Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly

As life expectancy increases, there is a marked increase in the elderly population eager to continue driving. A large proportion of these elderly drive safely, however, patients with mild dementia are high-risk drivers. Objective: to identify the cognitive tests that best predict driving ability in...

Full description

Autores:
Crivelli, Lucía
Julieta Russo, María
Franco Farez, Mauricio
Bonetto, Mariana
Prado, Cecilia
Calandri, Ismael Luis
Campos, Jorge
Cohen, Gabriela
Chrem Mendez, Patricio
Sabe, Liliana Raquel
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7465
Acceso en línea:
https://hdl.handle.net/11323/7465
http://dx.doi.org/10.1590/1980-57642018dn13-030008
https://repositorio.cuc.edu.co/
Palabra clave:
automobile driving
cognition
Alzheimer's disease
dementia
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
Description
Summary:As life expectancy increases, there is a marked increase in the elderly population eager to continue driving. A large proportion of these elderly drive safely, however, patients with mild dementia are high-risk drivers. Objective: to identify the cognitive tests that best predict driving ability in subjects with mild dementia. Methods: 28 drivers with mild dementia and 28 healthy elderly subjects underwent an extensive cognitive assessment (NACC Uniform Data Set Neuropsychological Battery), completed an adapted On Road Driving Test (ORDT) and a Driving Simulator assessment. Results: drivers with mild dementia made more mistakes on the ORDT and had slower responses in the simulator tasks. Cognitive tests correlated strongly with on road and simulator driving performance. Age, the Digit Symbol Modalities Test and Boston Naming Test scores were the variables that best predicted performance on the ORDT and were included in a logistic regression model. Conclusion: the strong correlation between driving performance and performance on specific cognitive tests supports the importance of cognitive assessment as a useful tool for deciding whether patients with mild dementia can drive safely. The algorithm including these three variables could be used as a screening tool for the detection of unsafe driving in elderly subjects with cognitive decline.