Abstract

Aging leads to impaired visual function, which can affect driving—a very visually demanding task—and has a direct impact on an individual’s quality of life if their license is withdrawn. This study examined the associations between age-related vision changes and simulated driving performance. To this end, we attempted to determine the most significant visual parameters in terms of evaluating elderly drivers’ eyesight. Twenty-one younger drivers (aged 25–40) were compared to 21 older drivers (aged 56–71). Study participants were assessed for visual acuity, contrast sensitivity, halos, and intraocular straylight, which causes veiling luminance on the retina and degrades vision. Driving performance was evaluated using a driving simulator. The relationships between simulated driving performance and the visual parameters tested were examined with correlation analyses and linear regression models. Older drivers presented impairment in most visual parameters (p < 0.05), with straylight being the most significantly affected (we also measured the associated effect size). Older drivers performed significantly worse (p < 0.05) in the simulator test, with a markedly lower performance in lane stability. The results of the multiple linear regression model evidenced that intraocular straylight is the best visual parameter for predicting simulated driving performance (R2 = 0.513). Older drivers have shown significantly poorer results in several aspects of visual function, as well as difficulties in driving simulator performance. Our results suggest that the non-standardized straylight evaluation could be significant in driver assessments, especially at the onset of age-related vision changes.

Highlights

  • IntroductionThe overall aging of the population is leading to an increase in the number of older drivers

  • The overall aging of the population is leading to an increase in the number of older drivers.In the coming decade, around 95% of people aged 65 or over will be active drivers [1]

  • The present study aimed to examine the associations between the different parameters that characterize visual function and simulated driving performance, and determine which parameters are the most significant when evaluating driver eyesight, especially in older drivers

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Summary

Introduction

The overall aging of the population is leading to an increase in the number of older drivers. Around 95% of people aged 65 or over will be active drivers [1]. The data suggest that young drivers are involved in more traffic accidents per licensed driver [2], divers aged over 65, approximately, are known to experience an increase in accidents per km driven [3,4]. Older drivers are more likely to be considered at-fault [2]. This age group is over-represented in accidents at intersections or those caused by a failure to yield the right of way or properly respond to traffic signs and hazards [2]. The design of more comprehensive methods for assessing driving skills and identifying unsafe drivers among the elderly is becoming increasingly important

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