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Driver licensing,motor-vehicle crashes,and moving violations among older adults
Institution:1. Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, 2716 South Street, Philadelphia, PA 19146, USA;2. Department of Epidemiology and Biostatistics, Temple University College of Public Health, 1301 Cecil B. Moore Ave., Philadelphia, PA 19122, USA;3. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA;1. Department of Civil Engineering, University of Kentucky, 161 Raymond Bldg., Lexington, KY 40506-0281 United States;2. Department of Civil Engineering, University of Kentucky, 257 Oliver Raymond Bldg., Lexington, KY 40506-0281 United States;3. Department of Civil Engineering, University of Kentucky, 265 Raymond Bldg., Lexington, KY 40506-0281 United States;4. Kentucky Transportation Center, University of Kentucky, 140A Raymond Bldg., Lexington, KY 40506-0281 United States;1. Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania;2. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;3. Center for Injury Research and Prevention, The Children''s Hospital of Philadelphia, Philadelphia, Pennsylvania;4. Highway Safety Research Center, University of North Carolina, Chapel Hill, North Carolina;5. University of Michigan Transportation Research Institute, Ann Arbor, Michigan;6. Department of Industrial Engineering & Engineering Management, Western New England University, Springfield, Massachusetts;7. Allan F. Williams, LLC, Bethesda, Maryland;1. Cognition, Langues, Langage, Ergonomie – Laboratoire Travail et Cognition (CLLE-LTC), UMR 5263, CNRS, Université de Toulouse Le Mirail, Toulouse, France;2. Université de Lyon, F-69622 Lyon, France;3. IFSTTAR, LESCOT, F-69675 Bron, France;4. Laboratoire d’Etude des Mécanismes Cognitifs (EMC), EA 3082, Université Lumière Lyon 2, Lyon, France;1. The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, United States;2. Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, United States;3. Graduate Center for Gerontology, College of Public Health, University of Kentucky, Lexington, KY, United States;4. Department of Civil Engineering, College of Engineering, University of Kentucky, Lexington, KY, United States;5. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States
Abstract:IntroductionDriving is important for well-being among older adults, but age-related conditions are associated with driving reduction or cessation and increased crash risk for older drivers. Our objectives were to describe population-based rates of older drivers’ licensing and per-driver rates of crashes and moving violations.Methods: We examined individual-level statewide driver licensing, crash, and traffic citation data among all New Jersey drivers aged ≥ 65 and a 35- to 54-year-old comparison group during 2010–2014. Rate ratios (RR) of crashes and moving violations were estimated using Poisson regression.Results: Overall, 86% of males and 71% of females aged ≥ 65 held a valid driver’s license. Older drivers had 27% lower per-driver crash rates than middle-aged drivers (RR: 0.73, 95% CI: 0.73, 0.74)—with appreciable differences by sex—but 40% higher fatal crash rates (RR: 1.40 1.24, 1.58]). Moving violation rates among older drivers were 72% lower than middle-aged drivers (RR: 0.28 0.28, 0.28]).Conclusion: The majority of older adults are licensed, with substantial variation by age and sex. Older drivers have higher rates of fatal crashes but lower rates of moving violations compared with middle-aged drivers.Practical applications: Future research is needed to understand the extent to which older adults drive and to identify opportunities to further reduce risk of crashes and resultant injuries among older adults.
Keywords:Driving  Epidemiology  Elderly drivers  Population aging  Travel behavior  Linked data
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