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Examining Patterns of Driving Avoidance Behaviors Among Older People Using Latent Class Analysis.
Laurie F Beck1, Feijun Luo2, Bethany A West1
1Centers for Disease Control and Prevention, 1242National Center for Injury Control and Prevention, Atlanta, GA, USA.
Summary
Older drivers may reduce driving in certain situations as part of a gradual transition away from driving. Identifying these avoidance patterns can help support seniors nearing driving cessation.
Area of Science:
- Gerontology
- Transportation Safety
- Public Health
Background:
- Older drivers sometimes avoid driving situations due to reduced confidence.
- Understanding the role of avoidance in the transition to non-driving is limited.
Purpose of the Study:
- To investigate driving avoidance patterns among older adults.
- To characterize sociodemographic factors associated with driving avoidance.
Main Methods:
- Analysis of 2015 ConsumerStyles data from 1198 drivers aged 60+.
- Examination of driving patterns and sociodemographic characteristics.
- Latent class analysis to identify driving avoidance classes.
Main Results:
- Four driving avoidance classes were identified: low, mild, moderate, and high.
- High-avoidance drivers were more likely to be female, aged 75+, non-White/non-Hispanic, and have lower income (<$25,000).
- A majority of older drivers (79%) reported driving frequently (3+ days/week) and good to excellent health (84%).
Conclusions:
- Driving avoidance may be a step in the process of transitioning to non-driving.
- Drivers exhibiting avoidance behaviors might be receptive to interventions.
- Support resources can help mitigate negative health and quality of life impacts of driving cessation.
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