Presentation on theme: "Journal of the Neurological Sciences (2006) Author: Ergun Y. Uc, Matthew Rizzo, Steven W. Anderson, Qian Shia, Jeffrey D. Dawson."— Presentation transcript:
Journal of the Neurological Sciences (2006) Author: Ergun Y. Uc, Matthew Rizzo, Steven W. Anderson, Qian Shia, Jeffrey D. Dawson
Introduction Avoiding a crash continuous monitoring of neighboring vehicles anticipating and adjusting to changes in their speeds positions under pressure of time, which relies on multiple cognitive abilities
Introduction Alzheimer disease (AD), the most common cause of dementia in older adults AD were impairs these abilities with clear implications for increased crash risk
Introduction Rear-end collision (REC) is defined as a collision type in which one vehicle collides with the rear of another vehicle In 2003, RECs accounted for 29.6% of all crashes, 29.6% of injuries, 29.8% of property damage, and 5.4% of fatalities in traffic accidents
Introduction About 44% of all rear-end crashes are intersection- related The drivers with highest propensity for rear-end crashes are younger than 18 years old or older than 69 years of age
Materials and methods Subjects were 61 participants with mild AD and 115 neurologically normal control participants. Both groups had comparable years of education, but AD subjects were older
Predictors of unsafe outcomes adjusted for groups
Analyses of collisions In 5 of 6 crashes, the DV slowed down abruptly and was struck by the FV (e.g., Fig. 2B) Only in one case (a driver with AD), the DV crashed into the stopped LV at the intersection (at 48.6 mph=78.2 kmh).
Discussion Although the likelihood of REC was not significantly higher in AD, these drivers reacted slower and were more likely to respond unsafely by slowing down abruptly or stopping prematurely before reaching the intersection Slowing abruptly increased the odds of being struck from behind by the FV
Discussion Visual perception is impaired in early AD and influences cognition and performance of the patients with AD Reduced UFOV, which depends on processing speed and attention, was a strong predictor of unsafe outcomes, consistent with earlier findings on prediction of crashes and driving errors in AD and aging [5,8,10,11,18–20].
In this study, slowing down abruptly, a quite common occurrence with increased odds for a potential crash, was associated with being struck by the following vehicle in the REC avoidance scenario in the simulator.