ArticleJournal of Alzheimer's disease : JAD2021
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.
Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Driving ability and predictors for driving performance in Multiple Sclerosis: A systematic review.Frontiers in neurology · 2022Pooled it
- A Collaborative Occupational Therapy-Instructor Model for Driving Evaluation of Persons with Disabilities.International journal of environmental research and public health · 2026Article
- AMFormer-based framework for accident responsibility attribution: Interpretable analysis with traffic accident features.PloS one · 2025Article
- Article
- Risk Factors Influencing the Severity of Cognitive Decline in Elderly Taxi Drivers Over 65 Years of Age: Applying a Zero-Inflated Negative Binomial Regression Model.Iranian journal of public health · 2023Article
- Evaluation of Psychophysical Fitness in Drivers over 65 Years of Age.Healthcare (Basel, Switzerland) · 2023Article
- Investigating risk-taking and executive functioning as predictors of driving performances and habits: a large-scale population study with on-road evaluation.Frontiers in psychology · 2023Article
- Olfactory discrimination and identification as prognostic markers of fitness-to-drive in older drivers.Scientific reports · 2022Article
- Article
- Self-awareness predicts fitness to drive among adults referred to occupational therapy evaluation.Frontiers in rehabilitation sciences · 2022Article
- The Effect of Prior Knowledge of Color on Behavioral Responses and Event-Related Potentials During Go/No-go Task.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOn-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI).
objectiveTo 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.
methodsMultiple 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.
resultsResults 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.
conclusionOur 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.
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