Citation

Palumbo AJ, Pfeiffer MR, Metzger KB, Curry AE. J. Saf. Res. 2019; 71: 87-93.

Affiliation

Center for Injury Research and Prevention, Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA 19146, USA; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA. Electronic address: currya@email.chop.edu.

Copyright

(Copyright © 2019, U.S. National Safety Council, Publisher Elsevier Publishing)

DOI

10.1016/j.jsr.2019.09.019

PMID

31862048

Abstract

INTRODUCTION: Driving 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.

Copyright © 2019 National Safety Council and Elsevier Ltd. All rights reserved.

Language: en

Keywords

Driving; Elderly drivers; Epidemiology; Linked data; Population aging; Travel behavior