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How do older adult drivers self-regulate? Characteristics of self-regulation classes defined by latent class analysis
- Source :
- Journal of Safety Research. 61:205-210
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Problem Motor-vehicle crashes were the second leading cause of injury death for adults aged 65–84 years in 2014. Some older drivers choose to self-regulate their driving to maintain mobility while reducing driving risk, yet the process remains poorly understood. Methods Data from 729 older adults (aged ≥ 60 years) who joined an older adult ride service program between April 1, 2010 and November 8, 2013 were analyzed to define and describe classes of driving self-regulation. Latent class analysis was employed to characterize older adult driving self-regulation classes using driving frequency and avoidance of seven driving situations. Logistic regression was used to explore associations between characteristics affecting mobility and self-regulation class. Results Three classes were identified (low, medium, and high self-regulation). High self-regulating participants reported the highest proportion of always avoiding seven risky driving situations and the lowest driving frequency followed by medium and low self-regulators. Those who were female, aged 80 years or older, visually impaired, assistive device users, and those with special health needs were more likely to be high self-regulating compared with low self-regulating. Conclusions and practical applications Avoidance of certain driving situations and weekly driving frequency are valid indicators for describing driving self-regulation classes in older adults. Understanding the unique characteristics and mobility limitations of each class can guide optimal transportation strategies for older adults.
- Subjects :
- Male
Gerontology
Automobile Driving
Engineering
Poison control
Logistic regression
Suicide prevention
Occupational safety and health
Transport engineering
03 medical and health sciences
Sex Factors
0302 clinical medicine
0502 economics and business
Injury prevention
Humans
030212 general & internal medicine
Mobility Limitation
Safety, Risk, Reliability and Quality
Aged
Aged, 80 and over
050210 logistics & transportation
business.industry
05 social sciences
Accidents, Traffic
Age Factors
Human factors and ergonomics
Middle Aged
Latent class model
Travel behavior
Female
business
Subjects
Details
- ISSN :
- 00224375
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Journal of Safety Research
- Accession number :
- edsair.doi.dedup.....5145f740764f225a87ad569706829cc3