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KMID : 0359720180360020074
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Journal of the Korean Neurological Association
2018 Volume.36 No. 2 p.74 ~ p.80
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Correlation of Driving-related Cognition and Cognitive Impairment in Drivers over the Age of 60
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Lee Ju-Youn
Oh Eung-Seok
Sohn Eun-Hee
Kim Ji-Young
Lee Min-Young
Kim Jin-Hyung
Ko Yun-Kyoung
Lee Ae-Young
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Abstract
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Background: A rate of traffic accidents by elderly drivers increased by 70% between 2011 and 2015 in Korea. Elderly drivers with cognitive impairment are more susceptible to be involved traffic accidents than cognitively normal individuals. This study aimed to evaluate the correlation of driving-related cognition and cognitive impairment in drivers over the age of 60 using the standardized program developed by the Road Traffic Authority (RTA).
Methods: Current drivers older than 60 years were recruited for the study. All participants were tested using the Mini-Mental Status Examination (MMSE), Rey Complex Figure Test (RCFT)-copy, and Digit Symbol Substitution Test (DSST) for cognitive function assessments. The driving aptitude test (DAT) for the elderly developed by RTA consists of 4 different tasks including speed and distance driving tests (SD), visuospatial memory driving tests (VM), sustained attention driving tests (SA), and divided attention driving tests (DA). The participants were divided into two groups by their MMSE score (normal cognition, CN; cognitive impairment, CI).
Results: One hundred fourteen participants were enrolled in the study and 57 of them were assigned to the CI group. In comparison, drivers in CI showed worse scores at DSST, SD, VM, and DA than those in CN. DSST and DA were worsened with increasing age. DSST was the best predictive assessment to be the risk or caution grade in DAT.
Conclusions: We could find a correlation between DAT and cognitive function in drivers over the age 60. These results could be used as the basis of investigating optimal tools for decreasing driving risks in the cognitive impaired elderly.
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KEYWORD
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Drive, Elderly, Cognitive function, Traffic accidents, Attention
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