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Predicting psychopharmacological drug effects on actual driving (SDLP) from psychometric tests measuring driving-related skills

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posted on 2024-07-09, 15:15 authored by Joris VersterJoris Verster, Thomas Roth
Rationale: There are various methods to examine driving ability. Comparisons between these methods and their relationship with actual on-road driving is often not determined. Objectives: The objective of this study was to determine whether laboratory tests measuring driving-related skills could adequately predict on-the-road driving performance during normal traffic. Methods: Ninety-six healthy volunteers performed a standardized on-the-road driving test. Subjects were instructed to drive with a constant speed and steady lateral position within the right traffic lane. Standard deviation of lateral position (SDLP), i.e., the weaving of the car, was determined. The subjects also performed a psychometric test battery including the DSST, Sternberg memory scanning test, a tracking test, and a divided attention test. Difference scores from placebo for parameters of the psychometric tests and SDLP were computed and correlated with each other. A stepwise linear regression analysis determined the predictive validity of the laboratory test battery to SDLP. Results: Stepwise regression analyses revealed that the combination of five parameters, hard tracking, tracking and reaction time of the divided attention test, and reaction time and percentage of errors of the Sternberg memory scanning test, together had a predictive validity of 33.4%. Conclusions: The psychometric tests in this test battery showed insufficient predictive validity to replace the on-the-road driving test during normal traffic.

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ISSN

0033-3158

Journal title

Psychopharmacology

Volume

220

Issue

2

Pagination

8 pp

Publisher

Springer Science + Business Media

Copyright statement

Copyright © 2011 The Author(s). This article is published with open access at Springerlink.com. Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Language

eng

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