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.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    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


    Weitere Titelangaben:

    Predicting On-Road Driving Behavior


    Beteiligte:
    Toepper, Max (Autor:in) / Schulz, Philipp (Autor:in) / Beblo, Thomas (Autor:in) / Driessen, Martin (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-12-05


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







    Executive, emotional and physiological functioning in older drivers with mild cognitive impairment

    Katerina Touliou / Maria Panou / Nikolaos Maglaveras et al. | DOAJ | 2019

    Freier Zugriff

    Can Screening for Cognitive Impairment at License Renewal Identify High Risk Older Drivers?

    Stutts, J. C. / Stewart, J. R. / Martell, C. M. et al. | British Library Conference Proceedings | 1996


    Predicting Accident Risk in Novice Drivers

    West, R. / Hall, J. / Transport Research Laboratory | British Library Conference Proceedings | 1995