ArticleFrontiers in aging neuroscience2016
Effects of Age and Task Load on Drivers' Response Accuracy and Reaction Time When Responding to Traffic Lights.
Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How does decisional capacity evolve with normal cognitive aging: systematic review of the literature.European geriatric medicine · 2020Pooled it
- Effects of a Rhythmic Drumming and Movement Intervention on Reaction Time in Community-Dwelling Older Adults: A Nonrandomized Pilot Study.Journal of aging research · 2026Article
- Comparison of visual requirements and regulations for obtaining a driving license in different European countries and some open questions on their adequacy.Frontiers in human neuroscience · 2022Review
- Influence of Vision on Drivers: A Pilot Study.International journal of environmental research and public health · 2021Article
- Are Your Eyes "on the Road"? Findings from the 2019 National Study on Vision and Driving Safety in Spain.International journal of environmental research and public health · 2020Article
- Effects of aging on foot pedal responses to visual stimuli.Journal of physiological anthropology · 2020Article
- Article
- Impact of obesity on central processing time rather than overall reaction time in young adult men.Eating and weight disorders : EWD · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to population aging, elderly drivers represent an increasing proportion of car drivers. Yet, how aging alters sensorimotor functions and impacts driving safety remains poorly understood. This paper aimed at assessing to which extent elderly drivers are sensitive to various task loads and how this affects the reaction time (RT) in a driving context. Old and middle-aged people completed RT tasks which reproduced cognitive demands encountered while driving. Participants had to detect and respond to traffic lights or traffic light arrows as quickly as possible, under three experimental conditions of incremental difficulty. In both groups, we hypothesized that decision-making would be impacted by the number of cues to be processed. The first test was a simple measure of RT. The second and third tests were choice RT tasks requiring the processing of 3 and 5 cues, respectively. Responses were collected within a 2 s time-window. Otherwise, the trial was considered a no-response. In both groups, the data revealed that RT, error rate (incorrect answers), and no-response rate increased along with task difficulty. However, the middle-aged group outperformed the elderly group. The RT difference between the two groups increased drastically along with task difficulty. In the third test, the rate of no-response suggested that elderly drivers needed more than 2 s to process complex information and respond accurately. Both prolonged RT and increased no-response rate, especially for difficult tasks, might attest an impairment of cognitive abilities in relation to aging. Accordingly, casual driving conditions for young drivers may be particularly complex and stressful for elderly people who should thus be informed about the effects of normal aging upon driving.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.