ArticleJournal of safety research2017
How do older adult drivers self-regulate? Characteristics of self-regulation classes defined by latent class analysis.
Article in Journal of safety research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Exploring pathways linking driving stress to self-regulation among older adults: A structural equation modeling approach using survey data.Journal of safety research · 2025Article
- Factors influencing emotional driving: examining the impact of arousal on the interplay between age, personality, and driving behaviors.Frontiers in psychology · 2025Article
- Possibility to Grasp the Older Drivers' Conditions from the Triennial Nationwide Survey of Japan for Elderly Welfare.International journal of environmental research and public health · 2024Article
- Distance From Home to Motor Vehicle Crash Location: Implications for License Restrictions Among Medically-At-Risk Older Drivers.Journal of aging & social policy · 2024Article
- On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors.Journal of transport & health · 2024Article
- Examining Patterns of Driving Avoidance Behaviors Among Older People Using Latent Class Analysis.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022Article
- GPs' awareness of car driving among oldest patients: exploratory results from a primary care cohort.BJGP open · 2021Article
- Effects of Older Adult Driving Resumption on All-Cause Mortality.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020Article
- Characteristics of ride share services for older adults in the United States.Journal of safety research · 2020Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
problemMotor-vehicle crashes were the second leading cause of injury death for adults aged 65-84years in 2014. Some older drivers choose to self-regulate their driving to maintain mobility while reducing driving risk, yet the process remains poorly understood.
methodsData from 729 older adults (aged ≥60years) 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.
resultsThree 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 80years 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.
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