Role of visual attention in predicting driving impairment in older adults

  • Hoffman L
  • McDowd J
  • Atchley P
 et al. 
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Abstract

Evaluated the role of visual attention in the prediction of driving impairment in older adults. A total of 155 licensed drivers aged 63-87 (mean age 75.2) completed the DriverScan change detection task, Useful Field of View Test (UFOV), and simulated driving task; participants were also asked about the details of any automobile accidents that they had been involved in in the previous 3 years. In contrast to previous research, participants were not oversampled for visual impairment or history of automobile accidents. Although a history of automobile accidents within the past 3 years could not be predicted using any variable, driving performance in a low-fidelity simulator could be significantly predicted by performance in the change detection task and by divided and selective attention subtests of the UFOV in structured equation models. Age directly predicted visual impairment and general attention deficits and was also indirectly related to processing speed and attention through visual impairment. (MM) (AgeLine Database, copyright 2006 EBSCO Publishing, Inc., all rights reserved)

Author-supplied keywords

  • 60+
  • Age Differences
  • Automobile Driving
  • Divided Attention
  • Driving Skills
  • Old Old
  • Older Adults
  • Predictive Factors
  • Selective Attention
  • Traffic Accidents
  • United States
  • Vision
  • Young Old

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Authors

  • Lesa Hoffman

  • Joan M McDowd

  • Paul Atchley

  • Richard Dubinsky

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