A traffic sign recognition test can discriminate between older drivers who have and have not had a motor vehicle crash

Jan M. MacGregor; Daniel H. Freeman; Dong Zhang

doi:10.1046/j.1532-5415.2001.49095.x

A traffic sign recognition test can discriminate between older drivers who have and have not had a motor vehicle crash

Jan M. MacGregor, Daniel H. Freeman, Dong Zhang

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

OBJECTIVES: To determine whether a Traffic Sign Recognition Test (TSRT) can identify older drivers who recently had a motor vehicle crash (MVC). DESIGN: Retrospective, matched, case-control study. SETTING: Licensed drivers in Galveston, Texas. PARTICIPANTS: 60 crash and 60 control subjects matched for age and gender. Cases were identified from accident records. Controls were selected from a randomized list of licensed drivers in Galveston. MEASUREMENTS: Folstein Mini-Mental State Examination (MMSE) and the TSRT. RESULTS: A TSRT significantly distinguished between case and control groups (P = .01). The MMSE did not (P = .61). A TSRT predicted MVC in a multivariate analysis controlling for education, MMSE score, race/ethnicity, and mileage driven/year (odds ratio = 0.88, 95% confidence interval = 0.77-1.00). CONCLUSION: A TSRT successfully identifies older drivers with a recent MVC, but the test lacks sensitivity and specificity. A prospective study is needed to further delineate the TSRT's usefulness in predicting crash risk in older drivers.

Original language	English (US)
Pages (from-to)	466-469
Number of pages	4
Journal	Journal of the American Geriatrics Society
Volume	49
Issue number	4
DOIs	https://doi.org/10.1046/j.1532-5415.2001.49095.x
State	Published - 2001
Externally published	Yes

Keywords

Motor vehicle
Older driver
Traffic sign
Vehicle crash

ASJC Scopus subject areas

Geriatrics and Gerontology

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10.1046/j.1532-5415.2001.49095.x

Cite this

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title = "A traffic sign recognition test can discriminate between older drivers who have and have not had a motor vehicle crash",

abstract = "OBJECTIVES: To determine whether a Traffic Sign Recognition Test (TSRT) can identify older drivers who recently had a motor vehicle crash (MVC). DESIGN: Retrospective, matched, case-control study. SETTING: Licensed drivers in Galveston, Texas. PARTICIPANTS: 60 crash and 60 control subjects matched for age and gender. Cases were identified from accident records. Controls were selected from a randomized list of licensed drivers in Galveston. MEASUREMENTS: Folstein Mini-Mental State Examination (MMSE) and the TSRT. RESULTS: A TSRT significantly distinguished between case and control groups (P = .01). The MMSE did not (P = .61). A TSRT predicted MVC in a multivariate analysis controlling for education, MMSE score, race/ethnicity, and mileage driven/year (odds ratio = 0.88, 95% confidence interval = 0.77-1.00). CONCLUSION: A TSRT successfully identifies older drivers with a recent MVC, but the test lacks sensitivity and specificity. A prospective study is needed to further delineate the TSRT's usefulness in predicting crash risk in older drivers.",

keywords = "Motor vehicle, Older driver, Traffic sign, Vehicle crash",

author = "MacGregor, {Jan M.} and Freeman, {Daniel H.} and Dong Zhang",

year = "2001",

doi = "10.1046/j.1532-5415.2001.49095.x",

language = "English (US)",

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journal = "Journal of the American Geriatrics Society",

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AU - Freeman, Daniel H.

AU - Zhang, Dong

PY - 2001

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N2 - OBJECTIVES: To determine whether a Traffic Sign Recognition Test (TSRT) can identify older drivers who recently had a motor vehicle crash (MVC). DESIGN: Retrospective, matched, case-control study. SETTING: Licensed drivers in Galveston, Texas. PARTICIPANTS: 60 crash and 60 control subjects matched for age and gender. Cases were identified from accident records. Controls were selected from a randomized list of licensed drivers in Galveston. MEASUREMENTS: Folstein Mini-Mental State Examination (MMSE) and the TSRT. RESULTS: A TSRT significantly distinguished between case and control groups (P = .01). The MMSE did not (P = .61). A TSRT predicted MVC in a multivariate analysis controlling for education, MMSE score, race/ethnicity, and mileage driven/year (odds ratio = 0.88, 95% confidence interval = 0.77-1.00). CONCLUSION: A TSRT successfully identifies older drivers with a recent MVC, but the test lacks sensitivity and specificity. A prospective study is needed to further delineate the TSRT's usefulness in predicting crash risk in older drivers.

AB - OBJECTIVES: To determine whether a Traffic Sign Recognition Test (TSRT) can identify older drivers who recently had a motor vehicle crash (MVC). DESIGN: Retrospective, matched, case-control study. SETTING: Licensed drivers in Galveston, Texas. PARTICIPANTS: 60 crash and 60 control subjects matched for age and gender. Cases were identified from accident records. Controls were selected from a randomized list of licensed drivers in Galveston. MEASUREMENTS: Folstein Mini-Mental State Examination (MMSE) and the TSRT. RESULTS: A TSRT significantly distinguished between case and control groups (P = .01). The MMSE did not (P = .61). A TSRT predicted MVC in a multivariate analysis controlling for education, MMSE score, race/ethnicity, and mileage driven/year (odds ratio = 0.88, 95% confidence interval = 0.77-1.00). CONCLUSION: A TSRT successfully identifies older drivers with a recent MVC, but the test lacks sensitivity and specificity. A prospective study is needed to further delineate the TSRT's usefulness in predicting crash risk in older drivers.

KW - Motor vehicle

KW - Older driver

KW - Traffic sign

KW - Vehicle crash

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A traffic sign recognition test can discriminate between older drivers who have and have not had a motor vehicle crash

Abstract

Keywords

ASJC Scopus subject areas

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