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J Int Neuropsychol Soc. 2010 Jul;16(4):679-86. doi: 10.1017/S1355617710000470. Epub 2010 May 5.

Prediction of driving ability with neuropsychological tests: demographic adjustments diminish accuracy.

Author information

1
Department of Neurology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA. joseph-barrash@uiowa.edu

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.

PMID:
20441682
PMCID:
PMC3152745
DOI:
10.1017/S1355617710000470
[Indexed for MEDLINE]
Free PMC Article

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