Investigating Speed Deviation Patterns During Glucose Episodes: A
  Quantile Regression Approach
Aparna Joshi Jennifer Merickel Cyrus V. Desouza Matthew Rizzo Pujitha Gunaratne Anuj Sharma
Given the growing prevalence of diabetes, there has been significant interest
in determining how diabetes affects instrumental daily functions, like driving.
Complication of glucose control in diabetes includes hypoglycemic and
hyperglycemic episodes, which may impair cognitive and psychomotor functions
needed for safe driving. The goal of this paper was to determine patterns of
diabetes speed behavior during acute glucose to drivers with diabetes who were
euglycemic or control drivers without diabetes in a naturalistic driving
environment. By employing distribution-based analytic methods which capture
distribution patterns, our study advances prior literature that has focused on
conventional approach of average speed to explore speed deviation patterns.