A Two-Part Approach Distinguishing the Occurrence and Frequency of Self-reported Attentional Failures During Driving to Predict Crash Risks Among Older Drivers

The impact of speed of processing training on cognitive and everyday functions

HeeSun Choi, Jing Feng and Daniel Grühn

The Journals of Gerontology: Series B, 2022, vol. 77, issue 10, 1759-1768

Abstract: ObjectivesWith advancing age, older drivers experience greater fatal crash risks due to age-related declines in cognitive and physical capabilities. Being informed of the age-related increased risks could help older drivers form compensatory strategies and determine when to seek further help to stay on the road safely for longer. Using a self-report assessment tool, the Attentional Failure during Driving Questionnaire (AFDQ), we examined older drivers’ experience of various attentional failures during daily driving and how the measures could predict their crash risks.MethodsWe used a new methodological approach distinguishing the occurrences of attentional failures during driving and the frequency of those occurrences. The individuals’ AFDQ occurrence and frequency scores were compared with prior driving outcomes and simulated driving performance.ResultsUnlike middle-aged drivers, frequency rather than occurrence of attentional failures was a significant predictor of prior traffic violations and crashes among older drivers. Also, attentional failures, but not chronological age, predicted older drivers’ crash risks. AFDQ frequency was also associated with older drivers’ poorer performance in simulated driving.DiscussionThe findings suggest that the self-report assessment for attention-related driving failures can predict older drivers’ crash risks. Furthermore, the two-part approach of AFDQ provides an opportunity to do a more comprehensive investigation of the associations between attentional declines and crash risks among older drivers.

Keywords: Assessment; Attention; Driving; Safety; Self-report (search for similar items in EconPapers)
Date: 2022
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The Journals of Gerontology: Series B is currently edited by Psychological Sciences - S. Duke Han, PhD and Social Sciences - Jessica A Kelley, PhD, FGSA

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