@article{ref1,
title="Predicting on-road driving skills, fitness to drive, and prospective accident risk in older drivers and drivers with mild cognitive impairment: the importance of non-cognitive risk factors",
journal="Journal of Alzheimer's disease",
year="2020",
author="Toepper, Max and Schulz, Philipp and Beblo, Thomas and Driessen, Martin",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI).   OBJECTIVE: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone.   METHODS: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step.   RESULTS: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables.   CONCLUSION: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.<p /> <p>Language: en</p>",
language="en",
issn="1387-2877",
doi="10.3233/JAD-200943",
url="http://dx.doi.org/10.3233/JAD-200943"
}