Literature DB >> 18215532

Older drivers, medical condition, medical impairment and crash risk.

F Javier Alvarez1, Inmaculada Fierro.   

Abstract

New evidence has appeared to support the fact that the over-involvement of older drivers in traffic accidents disappears when the low mileage bias is taken into account. As a group, older drivers are as safe as or safer than other age groups, and only low mileage older drivers have a high crash rate. Furthermore, the role of the medical condition of older drivers in traffic accidents, as well as the fitness to drive evaluation, are objects of controversy. We examined all this with a cohort of 4316 drivers attending Medical Driving Test Centres for a mandatory fitness to drive evaluation. Our data shows that older drivers (> or =75) have a lower crash rate. Medical conditions that impair fitness to drive, as a tendency, increased with advanced age and with lower mileage group. The multivariate analysis of variance showed that there is an effect (p<0.0001) of age-range and mileage on the annual crash rate per million kilometres driven, while a medical restriction ("fit to drive with restriction") has no effect (p>0.05). Our data suggests that health status is not associated with increased crash risk for the low mileage group, although further studies are needed.

Mesh:

Year:  2007        PMID: 18215532     DOI: 10.1016/j.aap.2007.04.001

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Diagnosed dementia and the risk of motor vehicle crash among older drivers.

Authors:  Laura A Fraade-Blanar; Ryan N Hansen; Kwun Chuen G Chan; Jeanne M Sears; Hilaire J Thompson; Paul K Crane; Beth E Ebel
Journal:  Accid Anal Prev       Date:  2018-03-07

2.  A psychological predictor of elders' driving performance: social-comparisons on the road.

Authors:  Becca R Levy; Reuben Ng; Lindsey M Myers; Richard A Marottoli
Journal:  J Appl Soc Psychol       Date:  2013-02-18

3.  The association of driver age with traffic injury severity in Wisconsin.

Authors:  Robert B Hanrahan; Peter M Layde; Shankuan Zhu; Clare E Guse; Stephen W Hargarten
Journal:  Traffic Inj Prev       Date:  2009-08       Impact factor: 1.491

4.  Risk levels for suffering a traffic injury in primary health care. The LESIONAT project.

Authors:  Carlos Martín-Cantera; Daniel Prieto-Alhambra; Lydia Roig; Susana Valiente; Katherine Perez; Luis Garcia-Ortiz; Jordi Bel; Fernando Marques; Xavier Mundet; Xavier Bonafont; Marti Birules; Núria Soldevila; Elena Briones
Journal:  BMC Public Health       Date:  2010-03-16       Impact factor: 3.295

5.  Risk-Exposure Density and Mileage Bias in Crash Risk for Older Drivers.

Authors:  Jonathan J Rolison; Salissou Moutari
Journal:  Am J Epidemiol       Date:  2018-01-01       Impact factor: 4.897

  5 in total

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