Literature DB >> 10497691

Driving is more than pedal pushing.

J E Meyers1, M Volbrecht, J Kaster-Bundgaard.   

Abstract

The purpose of this study was to determine the usefulness of neuropsychological assessment for predicting driving competency (as opposed to driving skill). Participants were divided into 2 groups, currently driving and not currently driving, based on patient and family member reports of driving ability. In addition, driving participants were only included if there had been no accidents or driving-related injuries in the past year. Stepwise discriminant function analysis was utilized to identify measures that were predictive but not redundant, thereby resulting in a shortened battery. The discriminant function analysis was able to correctly classify 94.4% of the overall sample. A factor analysis was used to identify the constructs that comprised the final short battery. In conclusion, this study demonstrated that a short neuropsychological battery was able to identify individuals who were competent to drive and those who were not competent to drive.

Entities:  

Mesh:

Year:  1999        PMID: 10497691     DOI: 10.1207/s15324826an0603_3

Source DB:  PubMed          Journal:  Appl Neuropsychol        ISSN: 0908-4282


  5 in total

1.  The relationship of neuropsychological variables to driving status following holistic neurorehabilitation.

Authors:  Ramaswamy Kavitha Perumparaichallai; Kristi L Husk; Stephen M Myles; Pamela S Klonoff
Journal:  Front Neurol       Date:  2014-04-23       Impact factor: 4.003

2.  Assessing Fitness-To-Drive among Older Drivers: A Comparative Analysis of Potential Alternatives to on-Road Driving Test.

Authors:  Yongjun Shen; Onaira Zahoor; Xu Tan; Muhammad Usama; Tom Brijs
Journal:  Int J Environ Res Public Health       Date:  2020-11-29       Impact factor: 3.390

3.  Driver safety in patients with primary brain tumors.

Authors:  Eduardo Estevis; Kyle R Noll; Mariana E Bradshaw; Jeffrey S Wefel
Journal:  Neurooncol Pract       Date:  2019-04-11

4.  Cut-off point for the trail making test to predict unsafe driving after stroke.

Authors:  Seong Youl Choi; Jae Shin Lee; Young Ju Oh
Journal:  J Phys Ther Sci       Date:  2016-07-29

5.  Usefulness of the driveABLE cognitive assessment in predicting the driving risk factor of stroke patients.

Authors:  Seong Youl Choi; Doo Han Yoo; Jae Shin Lee
Journal:  J Phys Ther Sci       Date:  2015-10-30
  5 in total

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