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Assessing Cognitive Ability and Simulator-Based Driving Performance in Poststroke Adults
Curtin University.
Curtin University.
Curtin University.
Swedish National Road and Transport Research Institute, Traffic and road users, Trafikanttillstånd, TIL.ORCID iD: 0000-0003-4140-3490
2017 (English)In: Behavioural Neurology, ISSN 0953-4180, E-ISSN 1875-8584, 1378308Article in journal (Refereed) Published
Abstract [en]

Driving is an important activity of daily living, which is increasingly relied upon as the population ages. It has been well-established that cognitive processes decline following a stroke and these processes may influence driving performance. There is much debate on the use of off-road neurological assessments and driving simulators as tools to predict driving performance; however, the majority of research uses unlicensed poststroke drivers, making the comparability of poststroke adults to that of a control group difficult. It stands to reason that in order to determine whether simulators and cognitive assessments can accurately assess driving performance, the baseline should be set by licenced drivers. Therefore, the aim of this study was to assess differences in cognitive ability and driving simulator performance in licensed community-dwelling poststroke drivers and controls. Two groups of licensed drivers (37 poststroke and 43 controls) were assessed using several cognitive tasks and using a driving simulator. The poststroke adults exhibited poorer cognitive ability; however, there were no differences in simulator performance between groups except that the poststroke drivers demonstrated less variability in driver headway. The application of these results as a prescreening toolbox for poststroke drivers is discussed.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2017. 1378308
Keyword [en]
Illness, Impact study, Driver, Cognition, Simulator (driving), Performance (road user)
National Category
Applied Psychology
Research subject
80 Road: Traffic safety and accidents, 84 Road: Road users
Identifiers
URN: urn:nbn:se:vti:diva-11859DOI: 10.1155/2017/1378308ISI: 000401871400001OAI: oai:DiVA.org:vti-11859DiVA: diva2:1107197
Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-09Bibliographically approved

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Dukic Willstrand, Tania

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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  • de-DE
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  • html
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