Predictors of track test performance in drivers with stroke

Kobayashi, Yasutaka; Omokute, Yutaro; Mitsuyama, Akiyo; Takaoka, Yuka; Takama, Chiaki; Watanabe, Yoko

doi:10.5137/1019-5149.jtn.17358-16.1

Cited by 8 publications

(11 citation statements)

References 15 publications

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“…As such, TMT-A can be regarded as an indicator that predicts the risk of violations or minor accidents. In contrast, a report by Kobayashi et al [22] that showed the importance of SDMT, cited the results of Track Tests, which were different from those discussed in the present study that examined violations and accidents. At present, there are no methods or clear criteria for objectively evaluating driving risk from the perspective of attention function [27], and further studies are needed.…”

Section: Attention Function and Driving Riskcontrasting

confidence: 99%

“…In the present study, the cutoff values were set to 54 s for TMT-A [21], 150 s for TMT-B [21], and 37.3% for SDMT [22]. In addition, to evaluate as many participants as possible while the "Health Checkup Project" was being held, the time limits for TMT-A and TMT-B were set to 90 s and 180 s respectively, and the evaluation was aborted if it was not completed within the time limit.…”

Section: Attention Functionmentioning

confidence: 99%

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Relationship between Driving Risk, Attention Function, and Driving Characteristics of Healthy Middle-aged and Older Female Drivers in the Fukui Prefecture in Japan

et al. 2022

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There is a need to determine whether a brain-injured person can return to driving from the viewpoint of a healthy individual's driving abilities and characteristics. Accordingly, this study investigated the attention function and driving characteristics of healthy middle-aged and older female drivers in a region with a high level of automobile dependence, and examined their relationship with traffic violations and accidents. Methodology: Participants were 81 healthy female drivers, with a mean age of 64.4 ± 8.4 years, whose incidences of traffic violations and accidents, attention function, and driving characteristics were examined. Attention function was evaluated using Trail Making Test Part A, Trail Making Test Part B, and Symbol Digit Modalities Test. Participants were divided into two groups according to whether they had been involved in traffic violations or accidents. Statistical comparisons were performed. Results: Drivers who experienced violations and accidents exhibited reduced attention function in the Trail Making Test Part A assessments. Trail Making Test Part B and Symbol Digit Modalities Test were unrelated to driving risk. Driving characteristics showed differences between the two groups. Conclusion:In addition to attention function, potential personality changes and awareness of disease after brain damage may affect the driving function of people with brain damage, in addition to their driving characteristics and personality traits from before the brain damage. In the future, we aim to conduct a survey of drivers with brain diseases to help determine criteria for whether a person with a brain injury can return to driving.

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Section: Attention Function and Driving Riskcontrasting

confidence: 99%

Section: Attention Functionmentioning

confidence: 99%

Relationship between Driving Risk, Attention Function, and Driving Characteristics of Healthy Middle-aged and Older Female Drivers in the Fukui Prefecture in Japan

et al. 2022

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“…The Stroke Driver Screening Assessment (SDSA) is a battery of four established subtests used to predict the driving ability of stroke survivors, and if all four subtest scores are above the cutoff value, the accuracy of predicting whether a person can drive is greater than 80%. 51) Since the Japanese version (J-SDSA) has become available, it has been used frequently in clinical settings in Japan. However, because it was not included in this study, it will be necessary to include SDSA as a predictor variable in future research.…”

Section: Discussionmentioning

confidence: 99%

Foundational Study on the Simple Detection of Impairment Resulting in Dangerous Driving in Patients with Higher Brain Dysfunction

Hiraoka

Metani

Yasunaga

et al. 2021

PRM

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“…Some researchers provide optimal cut-off points for TMT-A and TMT-B that can predict post-stroke unsafe driving, i.e., 32 s for TMT-A and 79 s for TMT-B [89]. The combination of TMT with other neuropsychological tests, such as the Snellgrove Maze Task [90], the Useful Field of View test for lane maintenance [91], the Symbol Digit Modalities Test [92], the Rapid Pace Walk test [93] and the Key Search Test of the BADS [34], provides additional data for the prediction of driving ability. Another variant of the TMT is the version in the Delis-Kaplan Executive Function System (D-KEFS; [94]).…”

Section: Tmt and Driving Abilitymentioning

confidence: 99%

Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies

Tsiakiri,

Christidi,

Tsiptsios

et al. 2024

Neurology International

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The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test (part A (TMT-A) and part B (TMT-B)) enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e., processing speed, divided attention, and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview of the use of TMT in stroke patients. We present the most representative studies assessing processing speed and attentional shift/mental flexibility in stroke settings using TMT and applying scoring methods relying on conventional TMT scores (e.g., time-to-complete part A and part B), as well as derived measures (e.g., TMT-(B-A) difference score, TMT-(B/A) ratio score, errors in part A and part B). We summarize the cognitive processes commonly associated with TMT performance in stroke patients (e.g., executive functions), lesion characteristics and neuroanatomical underpinning of TMT performance post-stroke, the association between TMT performance and patients’ instrumental activities of daily living, motor difficulties, speech difficulties, and mood statue, as well as their driving ability. We also highlight how TMT can serve as an objective marker of post-stroke cognitive recovery following the implementation of interventions. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments.

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Predictors of track test performance in drivers with stroke

Cited by 8 publications

References 15 publications

Relationship between Driving Risk, Attention Function, and Driving Characteristics of Healthy Middle-aged and Older Female Drivers in the Fukui Prefecture in Japan

Relationship between Driving Risk, Attention Function, and Driving Characteristics of Healthy Middle-aged and Older Female Drivers in the Fukui Prefecture in Japan

Foundational Study on the Simple Detection of Impairment Resulting in Dangerous Driving in Patients with Higher Brain Dysfunction

Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies

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