Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Dementia & Neuropsychologia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000300312 |
Resumo: | ABSTRACT 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. |
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Dementia & Neuropsychologia |
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Driving and Alzheimer's disease: A neuropsychological screening battery for the elderlyautomobile drivingcognitionAlzheimer's diseasedementiaABSTRACT 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.Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento2019-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000300312Dementia & Neuropsychologia v.13 n.3 2019reponame:Dementia & Neuropsychologiainstname:Associação de Neurologia Cognitiva e do Comportamento (ANCC)instacron:ANCC10.1590/1980-57642018dn13-030008info:eu-repo/semantics/openAccessCrivelli,LucíaRusso,María JulietaFarez,Mauricio FrancoBonetto,MarianaPrado,CeciliaCalandri,Ismael LuisCampos,JorgeCohen,GabrielaMéndez,Patricio ChremSabe,Liliana RaquelAllegri,Ricardo Franciscoeng2019-09-20T00:00:00Zoai:scielo:S1980-57642019000300312Revistahttp://www.demneuropsy.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||demneuropsy@uol.com.br1980-57641980-5764opendoar:2019-09-20T00:00Dementia & Neuropsychologia - Associação de Neurologia Cognitiva e do Comportamento (ANCC)false |
dc.title.none.fl_str_mv |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
title |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
spellingShingle |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly Crivelli,Lucía automobile driving cognition Alzheimer's disease dementia |
title_short |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
title_full |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
title_fullStr |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
title_full_unstemmed |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
title_sort |
Driving and Alzheimer's disease: A neuropsychological screening battery for the elderly |
author |
Crivelli,Lucía |
author_facet |
Crivelli,Lucía Russo,María Julieta Farez,Mauricio Franco Bonetto,Mariana Prado,Cecilia Calandri,Ismael Luis Campos,Jorge Cohen,Gabriela Méndez,Patricio Chrem Sabe,Liliana Raquel Allegri,Ricardo Francisco |
author_role |
author |
author2 |
Russo,María Julieta Farez,Mauricio Franco Bonetto,Mariana Prado,Cecilia Calandri,Ismael Luis Campos,Jorge Cohen,Gabriela Méndez,Patricio Chrem Sabe,Liliana Raquel Allegri,Ricardo Francisco |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Crivelli,Lucía Russo,María Julieta Farez,Mauricio Franco Bonetto,Mariana Prado,Cecilia Calandri,Ismael Luis Campos,Jorge Cohen,Gabriela Méndez,Patricio Chrem Sabe,Liliana Raquel Allegri,Ricardo Francisco |
dc.subject.por.fl_str_mv |
automobile driving cognition Alzheimer's disease dementia |
topic |
automobile driving cognition Alzheimer's disease dementia |
description |
ABSTRACT 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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000300312 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642019000300312 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-57642018dn13-030008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento |
publisher.none.fl_str_mv |
Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento |
dc.source.none.fl_str_mv |
Dementia & Neuropsychologia v.13 n.3 2019 reponame:Dementia & Neuropsychologia instname:Associação de Neurologia Cognitiva e do Comportamento (ANCC) instacron:ANCC |
instname_str |
Associação de Neurologia Cognitiva e do Comportamento (ANCC) |
instacron_str |
ANCC |
institution |
ANCC |
reponame_str |
Dementia & Neuropsychologia |
collection |
Dementia & Neuropsychologia |
repository.name.fl_str_mv |
Dementia & Neuropsychologia - Associação de Neurologia Cognitiva e do Comportamento (ANCC) |
repository.mail.fl_str_mv |
||demneuropsy@uol.com.br |
_version_ |
1754212931979968512 |