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

dc.contributor.authorCrivelli, Lucíaspa
dc.contributor.authorJulieta Russo, Maríaspa
dc.contributor.authorFranco Farez, Mauriciospa
dc.contributor.authorBonetto, Marianaspa
dc.contributor.authorPrado, Ceciliaspa
dc.contributor.authorCalandri, Ismael Luisspa
dc.contributor.authorCampos, Jorgespa
dc.contributor.authorCohen, Gabrielaspa
dc.contributor.authorChrem Mendez, Patriciospa
dc.contributor.authorSabe, Liliana Raquelspa
dc.date.accessioned2020-11-24T16:29:02Z
dc.date.available2020-11-24T16:29:02Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/11323/7465spa
dc.description.abstractAs 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.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.sourceDementia & Neuropsychologiaspa
dc.subjectautomobile drivingspa
dc.subjectcognitionspa
dc.subjectAlzheimer's diseasespa
dc.subjectdementiaspa
dc.titleDriving and Alzheimer's disease: A neuropsychological screening battery for the elderlyspa
dc.typeArtículo de revistaspa
dc.source.urlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000300312&tlng=enspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttp://dx.doi.org/10.1590/1980-57642018dn13-030008spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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dc.title.translatedCONDUÇÃO E DOENÇA DE ALZHEIMER: UMA BATERIA DE TRIAGEM NEUROPSICOLÓGICA PARA IDOSOSspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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