Are Individuals with Arthritis More Likely to Be Involved in a Crash?

Arthritis is an inflammation of a joint in the body which causes stiffening and pain. This often gets worse with age and can limit the range of motion of an individual. Because of the huge prevalence of arthritis across the US among drivers, understanding the driving limitations of these individuals could promote the development of assistance systems to improve safety. The development of severe arthritis may make driving more difficult and increase the crash risk of the driver. The purpose of this study is to understand the differences in driving between individuals with and without arthritis and to compare their crash risk. This study used the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP-2 NDS) data set. This dataset provides unique insights into the natural driving behavior of the subjects by recording key vehicle information such as speed, braking, and steering wheel angle, as well as video recordings of the driver and the surroundings. The authors used anonymized data for trips with and without crashes experienced by drivers with and without arthritis. The main factors analyzed were crash risk, secondary task engagement, and strength of the driver. The analysis shows there is a significant relationship between arthritis and crash risk with an odds ratio of 1.72, which indicates that individuals with arthritis are 72 percent more likely to be involved in a crash than others. Additional analysis was made to control for the potential confounding effects of age. The authors concluded that arthritis does contribute in this increased crash risk after controlling for age. The study suggests that arthritis is associated with higher crash risk and special assistance systems can potentially improve safety for drivers with arthritis.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AND10 Standing Committee on Vehicle User Characteristics.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Almannaa, Mohammed Hamad
    • Bareiss, Max
    • Riexinger, Luke
    • Guo, Feng
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: References;
  • Pagination: 3p

Subject/Index Terms

Filing Info

  • Accession Number: 01697923
  • Record Type: Publication
  • Report/Paper Numbers: 19-05036
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:41AM