TY  - JOUR
PY  - 2010//
TI  - Prediction of driving ability with neuropsychological tests: Demographic adjustments diminish accuracy
JO  - Journal of the International Neuropsychological Society
A1  - Barrash, J.
A1  - Stillman, Ashley
A1  - Anderson, Steven W.
A1  - Uc, Ergun Y.
A1  - Dawson, Jeffrey D.
A1  - Rizzo, Matthew
SP  - 679
EP  - 686
VL  - 16
IS  - 4
N2  - 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>
LA  - en
SN  - 1355-6177
UR  - http://dx.doi.org/10.1017/S1355617710000470
ID  - ref1
ER  -