02735nas a2200361   4500000000100000008004100001653001100042653001100053653000900064653002000073653001400093653001800107653004400125653002100169653002600190653005200216653003400268653004000302653003900342653003400381653002200415100001400437700001300451700001300464700001300477700001700490245007000507250001500577300001200592490000700604520171100611020005102322       2015                            d10aFemale10aHumans10aMale10aRisk Assessment10aAustralia10aHealth Status10aAccidents, Traffic/prevention & control10aAged/ physiology10aAttention/ physiology10aAutomobile Driving/ statistics & numerical data10aGeriatric Assessment/ methods10aPsychomotor Performance/ physiology10aSafety/statistics & numerical data10aTask Performance and Analysis10aVisual Perception1 aKeay Lisa1 aIvers R.1 aCoxon K.1 aBrown J.1 aChevalier A.00aBehind the Wheel: Predictors of Driving Exposure in Older Drivers  a2015/06/03  a1137-450 v633 a<p>
OBJECTIVES: To explore and deepen understanding of factors influencing driving exposure for older drivers. DESIGN: Cross-sectional. SETTING: Baseline data on function and driving exposure from 1 week of driving were evaluated. PARTICIPANTS: A convenience sample of 380 drivers aged 75 and older, residing in northwest Sydney, was recruited. Participants were required to be the primary drivers of their own vehicle. MEASUREMENTS: Driver function was evaluated using the DriveSafe and DriveAware clinic-based assessments to measure visual attention to the driving environment and awareness of driving ability. Demographic information was obtained through interview. An in-vehicle monitoring device with data logger and GPS receiver, was used to measure driving exposure in 362 of 380 participants' vehicles. Driving exposure outcomes were total distance driven, furthest distance traveled from home, and average trip length. Factors influencing these exposure outcomes were analyzed using generalized linear regression. RESULTS: Drivers typically drove 100 km in local and surrounding areas during the week. Function was predictive of all driving exposure outcomes. Drivers with lower levels of function drove fewer kilometers and took shorter trips closer to home. Age, health status, and personal circumstance (e.g., rural residence) also influenced exposure, but sex did not. CONCLUSION: Using objective measures, this study provides evidence that function, age, health status, and personal circumstance influence driving exposure of older drivers. Understanding how older people use driving to preserve their independence is important for exploring safe driving strategies for older people.
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  a1532-5415 (Electronic)<br/>0002-8614 (Linking)