Objective Real-world Dyadic Driving: A Novel Social Biomarker to Predict Cognitive Function in Drivers with MCI or AD
Samuel Shipley1, Karla Lynch1, Jeremy Robson1, Elizabeth M. Vlock1, Jun Ha Chang1, Kuan-Hua Chen1, Matthew Rizzo1
1University of Nebraska Medical Center
Objective:
Investigate prevalence of real-world dyadic driving as a longitudinal predictor of cognitive function in urban and rural dwellers with mild cognitive impairment (MCI) or Alzheimer’s disease (AD). 
Background:
Research on older drivers at risk for cognitive decline due to MCI has focused on individuals. Cognitive decline affects driver performance, exposure, and agency. As disease progresses, a “co-pilot” (family member or friend) may accompany the driver, creating a verifiable social dyad, and a potential real-world social biomarker of the natural history and progression of disease. 
Design/Methods:
35 participants (mean age=76.9; male=24, female=11; MCI=31, AD=4) completed demographic questionnaires (including rurality, indexed by home ZIP code). A composite score, derived from neuropsychological tests spanning five cognitive domains, indexed cognition at study start (baseline) and one year later. Unobtrusive video-electronic systems, installed in each driver’s own vehicle (for 3 months at baseline), captured real-world solo and dyadic driving (percentage of drives with a passenger seat confederate, confirmed by video analysts).
Results:
We analyzed 9,553 videos across all participants. Pearson correlational analyses showed a curvilinear relationship between dyadic driving and cognitive function at baseline (p=0.11) and one year later (p=0.06). These relationships were significant after controlling for driver age and sex (ps<0.03). Moderation analyses showed an effect of driver home ZIP code (p<0.10); lower cognitive scores were associated with increased dyadic driving for urban, not rural, drivers.
Conclusions:

This study underscores the potential value of objective real-world dyadic driving as a novel social biomarker to index and predict cognitive function in drivers with MCI or AD. Dyadic driving appears to predict cognitive functions in drivers with MCI or AD at baseline and one year later. Accessibility and need for a “copilot” appear to differ across urban and rural living communities, which may evolve with modern trends of vehicle automation support. 

 

10.1212/WNL.0000000000206536