title: Visual attention problems as a predictor of vehicle crashes in older drivers.
abstract: OBJECTIVE
  To identify visual factors that are significantly associated with increased vehicle crashes in older drivers.
  
  
  METHODS
  Several aspects of vision and visual information processing were assessed in 294 drivers aged 55 to 90 years. The sample was stratified with respect to age and crash frequency during the 5-year period before the test date. Variables assessed included eye health status, visual sensory function, the size of the useful field of view, and cognitive status. Crash data were obtained from state records.
  
  
  RESULTS
  The size of the useful field of view, a test of visual attention, had high sensitivity (89%) and specificity (81%) in predicting which older drivers had a history of crash problems. This level of predictability is unprecedented in research on crash risk in older drivers. Older adults with substantial shrinkage in the useful field of view were six times more likely to have incurred one or more crashes in the previous 5-year period. Eye health status, visual sensory function, cognitive status, and chronological age were significantly correlated with crashes, but were relatively poor at discriminating between crash-involved versus crash-free drivers.
  
  
  CONCLUSIONS
  This study suggests that policies that restrict driving privileges based solely on age or on common stereotypes of age-related declines in vision and cognition are scientifically unfounded. With the identification of a visual attention measure highly predictive of crash problems in the elderly, this study points to a way in which the suitability of licensure in the older adult population could be based on objective, performance-based criteria.
authors.affiliation: Department of Psychology, Western Kentucky University, Bowling Green 42101.
authors.forename: K
authors.initials: K
authors.lastname: Ball
authors.forename: C
authors.initials: C
authors.lastname: Owsley
authors.forename: M E
authors.initials: ME
authors.lastname: Sloane
authors.forename: D L
authors.initials: DL
authors.lastname: Roenker
authors.forename: J R
authors.initials: JR
authors.lastname: Bruni
mesh_terms: D000063:Accidents, Traffic; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D001288:Attention; D001334:Automobile Driving; D003072:Cognition Disorders / Q000175:diagnosis*; D015350:Contrast Sensitivity; D006304:Health Status; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D011237:Predictive Value of Tests; D014786:Vision Disorders / Q000175:diagnosis*; D014792:Visual Acuity / Q000502:physiology; D014794:Visual Fields; D014796:Visual Perception