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Abstract Details

Quantification of Real-World Life Space from Instrumented Vehicles in Drivers with Cognitive Aging
Aging, Dementia, and Behavioral Neurology
P4 - Poster Session 4 (5:30 PM-6:30 PM)
9-029

Our goal is to preserve independence and mobility in patients with age-related decline. 

 

Age-related perceptual, cognitive, and motor declines impair patient mobility, increasing depression, social isolation, and caregiver burden. The Life Space Questionnaire (LSQ) indexes mobility and driving patterns through patient self-report and is linked to cognitive and depressive symptoms. The problem is that patients with age-related cognitive decline may lack self-awareness, resulting in inaccurate self-report and limiting the predictive utility of the LSQ. 

 

We developed a novel method to quantify real-world LS using reverse geocoded GPS driving data and home addresses of aging drivers (ages 65-90, μ=76). Drivers showed a range of cognitive abilities measured with standardized neuropsychological tools. Continuous data (3 months; 29,484 drives; 180,481 miles) were collected from drivers’ own vehicles and compared to LSQ items querying locations subjects drove to themselves. We tested the hypothesis that self-reported driving LS is related to objective, real-world LS from in-vehicle sensor data. 

 

Self-reported driver LS, based on the locations subjects drove to themselves, correlated with the all-item LSQ scores (r=0.45, p<0.001). Self-reported driving LS was similar to objective LS in only 32% of drivers. Differences between self-reported LS and objective LS were largest in drivers who self-reported the highest or lowest LS (over- and under-reporting; r=0.75, p<0.0001). 

 

Self-report may not accurately represent driver mobility and risk. Subjective reports of LS can differ widely from measurements of real-world mobility,underscoring the advantage of objective assessments of age-related decline in the real world. Driver behavior monitoring using in-vehicle sensor technology shows promise for early-detection of LS decline, which is common in patients with neurodegenerative diseases. These tools can be continuously deployed over extended time-frames, in remote and rural settings, and in patients who lack ready access to neurological care, in line with “my car the doctor”.

 

Authors/Disclosures
Jennifer Merickel
PRESENTER
No disclosure on file
No disclosure on file
Matthew Rizzo, MD, FAAN (University of Nebraska Medical Center) The institution of Dr. Rizzo has received research support from NIH.