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Indicators of Crash Risk in Older Adults: A Longitudinal Analysis From the ACTIVE Study
Karlene K Ball1, Olivio J Clay1, Jerri D Edwards2
1University of Alabama at Birmingham, Birmingham, AL, USA.
Journal of Aging and Health
|July 9, 2021
Summary
Older adults face higher crash risks, particularly males and those with slower cognitive processing speeds. Study findings highlight age, sex, and location as key risk indicators for driving safety.
Area of Science:
- Gerontology
- Traffic Safety
- Cognitive Psychology
Background:
- Older adults represent a growing demographic with unique driving challenges.
- Understanding factors influencing crash risk in this population is crucial for public health and safety.
- Previous research indicates age and sex as potential correlates of driving impairment.
Purpose of the Study:
- To longitudinally examine indicators of crash risk in older adults.
- To identify specific cognitive functions associated with increased crash probability.
- To analyze demographic and environmental factors contributing to driving accidents in seniors.
Main Methods:
- Secondary data analysis of the 10-year ACTIVE study follow-up.
- Integration of state-recorded crash data from five participating sites.
- Application of Cox proportional hazards models to assess predictors of at-fault crashes.
Main Results:
- Older age, male sex, and specific site locations were significant predictors of higher crash risk.
- Poorer performance on the speed of processing cognitive composite was associated with increased crash risk.
- Controlling for miles driven and other covariates, cognitive function emerged as a key factor.
Conclusions:
- Findings confirm that advanced age and male sex are associated with elevated driving risks.
- Cognitive processing speed is a significant predictor of crash involvement in older drivers.
- Site location differences may reflect variations in population density and transportation accessibility, warranting further investigation.
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