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Self-regulation of driving by older adults: Comparison of self-report and objective driving data
Institution:1. University of Michigan Transportation Research Institute (UMTRI), 2901 Baxter Road, Ann Arbor, MI 48109-2150, United States;2. Monash University Accident Research Centre, Monash Injury Research Institute, Monash University, Building 70, Victoria 3800, Australia;3. University of Michigan Center for Statistical Consultation and Research, 3550 Rackham, 915 E. Washington Street, Ann Arbor, MI 48109-1070, United States;4. The Ottawa Hospital Research Institute, 505 Smyth Rd., Ottawa, ON, Canada K1H 8M2;1. The George Institute for Global Health, Sydney Medical School, The University of Sydney, GPO Box 5389, Sydney, NSW 2001, Australia;2. School of Science and Health, Western Sydney University, Australia;3. Safer Roads Consulting, 53 Lachlan St., Thirroul, NSW 2515, Australia;4. The Centre for Road Safety, Transport for NSW, Road Safety Technology, Level 3, 84 Crown St., Wollongong, NSW 2500, Australia;5. Neuroscience Research Australia (NeuRA), Margarete Ainsworth Building, Barker St., Randwick, NSW 2031, Australia;6. Kolling Institute of Medical Research, Sydney Medical School, The University of Sydney, Level 10, Kolling Building 6, Royal North Shore Hospital, St. Leonards, NSW 2065, Australia;1. Department of Psychology of Development and Socialization Processes, Sapienza, University of Rome, Via Dei Marsi, 78-00185 Rome, Italy;2. Department of Movement, Human and Health Sciences, University of Rome, “Foro Italico”- P.za Lauro de Bosis, 15- 00135 Rome, Italy;3. Department of Psychology, Sapienza, University of Rome, Via Dei Marsi, 78-00185 Rome, Italy;1. School of Population Health, The University of Queensland, Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Australia;2. Centre for Accident Research and Road Safety – Queensland (CARRS-Q) & Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology, Australia;3. Clinical Neuropsychology Research Group, School of Psychology and Counselling & Institute of Health and Biomedical Innovation, Queensland University of Technology, Australia
Abstract:Until recently, objective data have been lacking on the extent to which older adults modify their driving by driving less or avoiding situations considered challenging; a process commonly referred to as self-regulation. Advances in technology now make it possible to examine driving exposure, patterns, and habits using low-cost global positioning system (GPS) technology to record a vehicle’s location on a continuous basis along with the date and time. The purpose of this exploratory study was to better understand the process of self-regulation among older adults by examining their trip-specific driving patterns using objectively-derived GPS measures of driving and comparing these patterns with drivers’ self-reports. The study used a sample of 156 adults age 75 or older, recruited from the greater Melbourne area of Australia as part of the Ozcandrive project, a partnership between Monash University Accident Research Centre and the Canadian Driving Research Initiative for Vehicular Safety in the Elderly (Candrive), a prospective cohort study of older drivers. Objective driving data were collected through equipment installed in participants’ personal vehicles. Participants were asked to drive as they normally would with the equipment installed in their vehicle. After approximately the first 4 months of driving with the device, data were downloaded and participants completed a computer-based questionnaire on self-regulation of driving. Results suggest that there was correspondence, albeit not perfect, between some objective driving measures and their comparable self-reported measures, but a lack of correspondence for others. For avoidance of various driving situations, comparisons were statistically significant for driving at night, driving in unfamiliar areas, and on high speed roads. For each driving situation, participants’ actual driving predicted the likelihood of reporting trying to avoid that situation, although perfect one-to-one correspondence between the self-reported and objective data on self-regulatory driving patterns was lacking. For measures of driving exposure, self-reported and objective driving exposure measures were correlated, but participants tended to underreport their average number of days per week and kilometers per week driven. This discrepancy between self-reported and objective measures is of concern as the ability to measure driving exposure not only contributes to a better understanding of the complex process of self-regulation, but is also a critical element in understanding crash risk.
Keywords:Self-regulatory practices  Mobility  Older drivers  GPS
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