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Updated: May 17, 2026
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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
Published on: December 18, 2020
Self-Reported Driving Problems Predict Future Traffic Crashes in Older Men: Prevalence and Determinants of
Ji Won Han1,2, Tae Hui Kim3, Kyung Phil Kwak4
1Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.
Journal of the American Geriatrics Society
|May 15, 2026
Summary
Older drivers
Area of Science:
- Gerontology
- Traffic Safety
- Cognitive Science
Background:
- Older drivers have a higher crash risk per mile driven.
- Identifying high-risk older drivers without limiting mobility is difficult.
- Self-assessment of driving risk in older adults is debated, potentially influenced by education.
Purpose of the Study:
- To investigate the accuracy of self-reported driving concerns in predicting future crashes among older male drivers.
- To identify factors contributing to unrecognized crash risk in older drivers.
- To explore the role of education and cognitive function in older drivers' risk perception.
Main Methods:
- A prospective cohort study of 1673 male drivers aged 60+ from the Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD).
- Drivers classified into four phenotypes based on self-reported concerns and crash data over 2 years.
- Assessment included self/informant-reported driving problems (DRQ) and crash records (KNPA).
Main Results:
- Of drivers in crashes, 61.7% reported concerns; 38.3% were 'silent' at-risk drivers with unrecognized risk (DUR).
- Unrecognized risk drivers showed lower self-informant discrepancy; informant reports did not predict crashes.
- Among those without self-reported concerns, lower education (≤9 years) and slower TMT-B performance (≥180s) identified a high-risk subgroup (20.9% crash rate).
Conclusions:
- Self-reported driving concerns predict future crashes but miss a significant number of at-risk drivers.
- Education level and Trail Making Test B (TMT-B) performance are potential clinical markers for identifying 'silent' at-risk older drivers.
- Objective screening tools may be necessary to complement self-assessment for older driver safety.
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