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

Joseph Barrash; Ashley Stillman; Steven W Anderson; Ergun Y Uc; Jeffrey D Dawson; Matthew Rizzo

doi:10.1017/S1355617710000470

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

Journal article

Peer reviewed

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

Joseph Barrash, Ashley Stillman, Steven W Anderson, Ergun Y Uc, Jeffrey D Dawson and Matthew Rizzo

Journal of the International Neuropsychological Society, Vol.16(4), pp.679-686

07/2010

DOI: 10.1017/S1355617710000470

PMCID: PMC3152745

PMID: 20441682

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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.

Geriatric Assessment

Predictive Value of Tests

Alzheimer Disease - physiopathology

Humans

Models, Psychological

Male

Statistics as Topic

Automobile Driver Examination

Parkinson Disease - physiopathology

Psychomotor Performance - physiology

Neuropsychological Tests

Mental Status Schedule

Female

Aged

Automobile Driving

Details

Title: Subtitle: Prediction of driving ability with neuropsychological tests: demographic adjustments diminish accuracy
Creators: Joseph Barrash - Department of Neurology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA. joseph-barrash@uiowa.edu
Ashley Stillman
Steven W Anderson
Ergun Y Uc
Jeffrey D Dawson
Matthew Rizzo
Resource Type: Journal article
Publication Details: Journal of the International Neuropsychological Society, Vol.16(4), pp.679-686
DOI: 10.1017/S1355617710000470
PMID: 20441682
PMCID: PMC3152745
NLM abbreviation: J Int Neuropsychol Soc
ISSN: 1355-6177
eISSN: 1469-7661
Publisher: England
Grant note: R01 NS044930-04 / NINDS NIH HHS R01 AG017177-08 / NIA NIH HHS R01 AG015071-03 / NIA NIH HHS R01 AG017177-06 / NIA NIH HHS R01 AG017177 / NIA NIH HHS R01 AG017177-02 / NIA NIH HHS R01 AG017177-04A1 / NIA NIH HHS R01 AG015071 / NIA NIH HHS R01 NS044930-03 / NINDS NIH HHS R01 AG015071-01A2 / NIA NIH HHS AG 15071 / NIA NIH HHS R01 AG015071-05 / NIA NIH HHS R01 AG017177-07 / NIA NIH HHS R01 NS044930-02 / NINDS NIH HHS R01 AG015071-02 / NIA NIH HHS R01 AG017177-05 / NIA NIH HHS AG 17717 / NIA NIH HHS R01 AG017177-03 / NIA NIH HHS R01 AG017177-01 / NIA NIH HHS R01 NS044930-01A1 / NINDS NIH HHS R01 NS044930-05 / NINDS NIH HHS R01 AG015071-04 / NIA NIH HHS R01 NS044930 / NINDS NIH HHS
Language: English
Date published: 07/2010
Academic Unit: Neurology; Public Health Administration; Psychological and Brain Sciences; Iowa Neuroscience Institute; Biostatistics
Record Identifier: 9983997305802771

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