Journal article
Predictors of driving errors contributing to crashes in older adults across age groups, 2010 to 2020
Journal of safety research, Vol.92, pp.40-47
02/2025
DOI: 10.1016/j.jsr.2024.11.010
PMCID: PMC11847146
PMID: 39986859
Abstract
•Driving errors contributing to crashes increased with age, especially in the middle-old age group (75–84).•Older drivers may face age-related challenges in performing specific driving behaviors with age, such as turning and changing lanes.•These challenges can differ across age groups within older adults.•Studies on older drivers should avoiding treating older adults as a uniform group and instead examine differences among age groups
Introduction: Given the largely autocentric nature of the United States, drivers continue to operate vehicles with varying levels of driving ability and self-restriction as they advance into older age. This study explores the associations of vehicle actions and traffic control devices with older drivers’ driving errors contributing to crashes, incorporating age group as effect modifiers of these relationships. Method: This study includes crashes reported to the Iowa Department of Transportation from 2010 to 2020. Analysis was completed for drivers involved in a crash who were aged 45 years and older (n = 254,912). Driving errors were identified based on driver contributing factors reported in the Iowa crash data. A multivariable logistic regression model was built to model predictors of driving errors, focusing on crash-related vehicle actions and traffic control devices. Additionally, interaction terms were incorporated to examine the moderating effect of age groups (45–64; 65–74; 75–84; 85+). Results: Driving errors increased with age, especially in the middle-old age group (75–84). A higher probability of driving errors was observed in changing lanes, merging, and turning, with right turns showing the most substantive increase in the middle-old age group compared to the other age groups. Stop and yield signs were associated with a higher probability of driving errors, increasing monotonically with age. The middle-old age group exhibited a notable increase in driving errors at uncontrolled or traffic signaled locations compared to the other age groups. Conclusions: The significant increase in driving errors at and beyond the middle-old age group may demonstrate higher age-related declines in safe driving compared to younger age groups. Practical Applications: Careful evaluations for older drivers’ fitness to drive during license renewal periods are needed once drivers reach the middle-old age. Additionally, effective combinations of advanced technologies, traffic systems, and policies are necessary to reduce the burdens associated with aging.
Details
- Title: Subtitle
- Predictors of driving errors contributing to crashes in older adults across age groups, 2010 to 2020
- Creators
- Gilsu Pae - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, United StatesJonathan Davis - Department of Occupational and Environmental Health, College of Public Health, University of Iowa, Iowa City, IA, United StatesJoseph Cavanaugh - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, United StatesMotao Zhu - Nationwide Children's HospitalCara Hamann - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, United States
- Resource Type
- Journal article
- Publication Details
- Journal of safety research, Vol.92, pp.40-47
- DOI
- 10.1016/j.jsr.2024.11.010
- PMID
- 39986859
- PMCID
- PMC11847146
- NLM abbreviation
- J Safety Res
- ISSN
- 0022-4375
- eISSN
- 1879-1247
- Publisher
- Elsevier Ltd
- Grant note
- CDC National Center for Injury Pre-vention and Control (NCIPC) /University of Iowa Injury Prevention Research Center (IPRC): R49CE003095
This work was supported by CDC National Center for Injury Pre-vention and Control (NCIPC) /University of Iowa Injury Prevention Research Center (IPRC) [R49CE003095]
- Language
- English
- Date published
- 02/2025
- Academic Unit
- Statistics and Actuarial Science; Occupational and Environmental Health; Epidemiology; Biostatistics; Center for Social Science Innovation; Injury Prevention Research Center; School of Planning and Public Affairs
- Record Identifier
- 9984747077502771
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