Driving self-restriction in high-risk conditions: how do older drivers compare to others?

J Safety Res. 2011 Feb;42(1):67-71. doi: 10.1016/j.jsr.2010.12.001. Epub 2011 Jan 5.

Abstract

Introduction: Many older drivers self-restrict or avoid driving under high-risk conditions. Little is known about the onset of driving self-restrictions or how widespread self-restrictions are among drivers of all ages.

Methods: The Second Injury Control and Risk Survey (ICARIS-2) was a nationwide cross-sectional, list-assisted random-digit-dial telephone survey from 2001 to 2003. National prevalence estimates and weighted percentages of those reporting driving self-restrictions were calculated. Multivariable logistic regression was used to explore associations between specific self-restrictions and age group, adjusting for other personal characteristics.

Results: More than half of all drivers reported at least one driving self-restriction. The most commonly reported restriction was avoidance of driving in bad weather (47.5%), followed by at night (27.9%) and on highways or high-speed roads (19%). A greater percentage of young adult women (18-24 years) reported self-restricting in bad weather compared to women in other age groups, and the percentage of drivers self-restricting at night, in bad weather, and on highways or high-speed roads increased steeply after age 64. We found that women, those in low income groups, and those who had driven low annual mileage were more likely to self-restrict.

Conclusions: In addition to assessing self-restrictions among older drivers, a new finding from our study is that self-restrictions are also quite prevalent among younger age groups. Driving self-restrictions may be better understood as a spectrum across ages in which drivers' reasons for restriction change.

Impact on industry: Future research on the ability of driving self-restrictions to reduce actual crash risk and prevent injuries is needed.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aging / psychology*
  • Automobile Driving / psychology*
  • Cross-Sectional Studies
  • Data Collection
  • Female
  • Humans
  • Income / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Risk Assessment / methods*
  • Risk Factors
  • Safety*
  • Self Report
  • Self-Assessment*
  • Sex Factors
  • Socioeconomic Factors
  • Telephone
  • United States
  • Young Adult