Evidence map›Paper›PMID 39964285›Full record

ArticleTraffic injury prevention2025

Mesopic and glare driving performance in a driving simulator.

Thomas Kerwin, Cameron Wrabel, Deyue Yu, Zhong-Lin Lu, Jingzhen Yang

Abstract read
In one paragraph

Article in Traffic injury prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Thomas KerwinDriving Simulation Laboratory, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-4560-3203
Cameron WrabelDriving Simulation Laboratory, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-4097-6636
Deyue YuCollege of Optometry, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-0368-6784
Zhong-Lin LuDivision of Arts and Sciences, NYU Shanghai, Shanghai, China.ORCID 0000-0002-7295-727X
Jingzhen YangCenter for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio.ORCID 0000-0003-4019-0999

Funding

Longitudinal Assessment of Driving After Mild TBI in TeensR01HD098175 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI STAVRINOS, DESPINA, YANG, JINGZHEN GINGER · 2020 to 2024
$3.2M
Efficient Assessment of Visual Deficits in Low VisionR01EY025658 · NEI · OHIO STATE UNIVERSITY · PI YU, DEYUE · 2016 to 2020
$1.9M
NEI NIH HHS R01 EY025658NICHD NIH HHS R01 HD098175
6 · The paper itself

Abstract

objectiveDifficulties in night driving due to deficits in visual function are a common problem among older drivers. Signage, hazards, and road markings can be more difficult to identify for those with presbyopia, especially in nighttime conditions that include glare from headlights. This study evaluated the visual function and driving abilities of participants in various lighting conditions to find efficient and effective testing procedures for predicting how older individuals will perform in night driving conditions.

methodsA driving simulator study was conducted to investigate the relationship between driving performance measures and visual function measures in different lighting conditions. Participants were examined in a laboratory setting to measure visual acuity and contrast sensitivity in bright light, dim light, and dim light with glare conditions. The participants were asked to drive in a driving simulator in simulated day, night, and night with glare conditions. Analysis using a linear mixed model was performed across the lighting conditions.

resultsThere are statistically significant relationships between the experimental variables, with age being an important factor. Age was found to have a statistically significant effect on the standard deviation of lateral position, which is a measure of vehicle control. Age was also found to have a statistically significant effect on reaction time and accuracy of a secondary identification task. Visual acuity and contrast sensitivity were found to have a statistically significant effect on mean velocity.

conclusionsResults suggest that visual acuity alone is insufficient to fully describe visual function for predicting performance in a driving task, but the ideal variables for prediction of performance in a night driving situation are not clear.

Indexed as

Automobile DrivingGlareMesopic VisionAdultAgedAge FactorsComputer SimulationContrast SensitivityFemaleHumansLightingMaleMiddle AgedReaction TimeTask Performance and AnalysisVisual Acuitydriving simulationnight drivingpresbyopiaVisual function

Identifiers

PMID39964285
PMCPMC12286753

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Registered trials

None linked

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.