@article{ref1,
title="Prediction of driving ability with neuropsychological tests: Demographic adjustments diminish accuracy",
journal="Journal of the International Neuropsychological Society",
year="2010",
author="Barrash, J. and Stillman, Ashley and Anderson, Steven W. and Uc, Ergun Y. and Dawson, Jeffrey D. and Rizzo, Matthew",
volume="16",
number="4",
pages="679-686",
abstract="Demographically adjusted norms generally enhance accuracy of inferences based on neuropsychological assessment. However, we hypothesized that demographic corrections diminish predictive accuracy for real-world activities with absolute cognitive demands. Driving ability was assessed with a 45-minute drive along a standardized on-road route in participants aged 65+ (24 healthy elderly, 26 probable Alzheimer's disease, 33 Parkinson's disease). Neuropsychological measures included: Trail-Making A and B, Complex Figure, Benton Visual Retention, and Block Design tests. A multiple regression model with raw neuropsychological scores was significantly predictive of driving errors (R2 = .199, p = .005); a model with demographically adjusted scores was not (R2 = .113, p = .107). Raw scores were more highly correlated with driving errors than were adjusted scores for each neuropsychological measure, and among healthy elderly and Parkinson's patients. When predicting real-world activities that depend on absolute levels of cognitive abilities regardless of demographic considerations, predictive accuracy is diminished by demographic corrections.<p /> <p>Language: en</p>",
language="en",
issn="1355-6177",
doi="10.1017/S1355617710000470",
url="http://dx.doi.org/10.1017/S1355617710000470"
}