Back to Search
Start Over
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
- Source :
- Journal of Alzheimer's Disease
- Publication Year :
- 2021
- Publisher :
- IOS Press, 2021.
-
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.
- Subjects :
- Male
Gerontology
Accident risk
Neuropsychological Tests
driving skills
0302 clinical medicine
Risk Factors
Medicine
Aged, 80 and over
General Neuroscience
05 social sciences
Multilevel model
Accidents, Traffic
Age Factors
Regression analysis
Cognition
General Medicine
Explained variation
Psychiatry and Mental health
Clinical Psychology
Motor Skills
Cervical Vertebrae
Female
Research Article
Automobile Driving
Vision Disorders
Sample (statistics)
Risk Assessment
050105 experimental psychology
03 medical and health sciences
mild cognitive impairment
Humans
Cognitive Dysfunction
0501 psychology and cognitive sciences
Aged
Trail Making Test
business.industry
fitness to drive
Driving skills
Logistic Models
older drivers
Case-Control Studies
Observational study
Geriatrics and Gerontology
business
human activities
Neck
Psychomotor Performance
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 18758908 and 13872877
- Volume :
- 79
- Database :
- OpenAIRE
- Journal :
- Journal of Alzheimer's Disease
- Accession number :
- edsair.doi.dedup.....1ac408d4c2ed42d46ebf9bfeb0a1eee6
- Full Text :
- https://doi.org/10.3233/jad-200943