2022 article
A Two-Part Approach Distinguishing the Occurrence and Frequency of Self-reported Attentional Failures During Driving to Predict Crash Risks Among Older Drivers
Choi, H. S., Feng, J., & Gruhn, D. (2022, May 21). JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES.
author keywords: Assessment; Attention; Driving; Safety; Self-report
MeSH headings : Accidents, Traffic / prevention & control; Automobile Driving; Humans; Middle Aged; Self Report; Surveys and Questionnaires
TL;DR:
Frequency rather than occurrence of attentional failures was a significant predictor of prior traffic violations and crashes among middle-aged drivers and predicted older drivers' crash risks.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: July 18, 2022
Abstract Objectives With 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. Methods We 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. Results Unlike 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. Discussion The 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.