The objective of this research is to identify how visual impairment impacts the safety and performance of older drivers. Driving cessation in older adults is tied to many negative health indicators including increased risk for depression, reduced access to healthcare services, and increased likelihood of placement into long-term-care. The societal significance of research on older drivers is dramatically apparent when we recognize that vision impairment is common in the older adult population, and that older drivers have among the highest rates of motor vehicle collisions compared to other age groups. A critical scientific challenge is to identify what aspects of vision are required for safe driving by older adults. Previous research on older driver safety and performance has focused on the study of police accident reports, brief driving evaluations, or driving simulator studies. These techniques have serious scientific limitations; crash studies do not provide information about what lead up to the collision; in on-road studies research personnel are in the vehicle potentially biasing how the driver behaves; simulator studies present artificial, cartoon-like scenarios that over-simplify the roadway environment. All these issues undermine the ability to understand the actual visual factors underlying driver performance and safety. Naturalistic driving methods overcome these limitations by unobtrusively placing multiple sensors and video cameras in the vehicle that record vehicle kinematics, driver behaviors (e.g., gaze behavior), and roadway environment. They allow driving to be studied in an objective way over lengthy time periods (months) in the driver's own vehicle where the driver chooses the route during the course of everyday life. In this research we will use naturalistic driving techniques to examine the relationships between vision and older driver safety and performance. We focus on older drivers with normal vision and those with contrast sensitivity deficits and slowed visual processing speed, since these problems are the strongest and most consistently identified visual risk factors for driving problems in the older adult population. Analyses will focus on the relationship between vision and critical safety events (crashes, near-crashes), lane-keeping, turning at intersections, driving under secondary tasks demands, and when a co-pilot (passenger) is present. These relationships will be examined in light of other driver characteristics, environmental factors, and vehicle factors. Driving performance as measured by naturalistic driving methods will also be compared to driving ratings provided by a driving rehabilitation specialist on a standardized driving route, which is currently the clinical gold standard. This research will stimulate the development of interventions to enhance driving mobility in visually impaired older adults and thus improve quality of life.

Public Health Relevance

Vision is critical for the safe control and effective navigation of a vehicle. Vision impairment is common in the older adult population, and older drivers have among the highest rates of motor vehicle collisions compared to other age groups. Older drivers are the fastest growing group of drivers on the road in the US, both in terms of the number of drivers and annual mileage. Research to identify how vision impairment impacts driver safety will lead to interventions that enhance both public safety and personal mobility.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY018966-07
Application #
8829267
Study Section
Special Emphasis Panel (ZEY1-VSN (04))
Program Officer
Schron, Eleanor
Project Start
2008-04-01
Project End
2019-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
7
Fiscal Year
2015
Total Cost
$723,953
Indirect Cost
$115,941
Name
University of Alabama Birmingham
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Huisingh, Carrie; Owsley, Cynthia; Wadley, Virginia G et al. (2018) General cognitive impairment as a risk factor for motor vehicle collision involvement: a prospective population-based study. Geriatrics (Basel) 3:
Wood, Joanne M; Black, Alex A; Mallon, Kerry et al. (2018) Effects of Age-Related Macular Degeneration on Driving Performance. Invest Ophthalmol Vis Sci 59:273-279
Huisingh, Carrie; Wadley, Virginia G; McGwin Jr, Gerald et al. (2018) Relationship between areas of cognitive functioning on the Mini-Mental State Examination and crash risk. Geriatrics (Basel) 3:
Owsley, Cynthia; McGwin Jr, Gerald; Antin, Jonathan F et al. (2018) The Alabama VIP older driver study rationale and design: examining the relationship between vision impairment and driving using naturalistic driving techniques. BMC Ophthalmol 18:32
Huisingh, Carrie; Owsley, Cynthia; Levitan, Emily B et al. (2018) Distracted Driving and Risk of Crash or Near-crash Involvement among Older Drivers using Naturalistic Driving Data with a Case-crossover Study Design. J Gerontol A Biol Sci Med Sci :
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Huisingh, Carrie; Levitan, Emily B; Irvin, Marguerite R et al. (2017) Visual Sensory and Visual-Cognitive Function and Rate of Crash and Near-Crash Involvement Among Older Drivers Using Naturalistic Driving Data. Invest Ophthalmol Vis Sci 58:2959-2967
Wood, Joanne M; Black, Alex A; Mallon, Kerry et al. (2016) Glaucoma and Driving: On-Road Driving Characteristics. PLoS One 11:e0158318
Huisingh, Carrie; McGwin Jr, Gerald; Owsley, Cynthia (2016) Association of visual sensory function and higher-order visual processing skills with incident driving cessation. Clin Exp Optom 99:441-8
Huisingh, Carrie; Levitan, Emily B; Irvin, Marguerite R et al. (2016) Driving with pets and motor vehicle collision involvement among older drivers: A prospective population-based study. Accid Anal Prev 88:169-74

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