Principal Investigator: Paul Marques
(3/1/2012 - 11/28/2013) Proposal Abstract
New technological advances in the fields of alcohol safety and treatment sciences hold the promise of improving detection and control of alcohol impaired driving. Drivers with illegal blood alcohol concentrations (BAC) at or above the .08 g/dL level are involved in a fatal crash on average every 45 minutes every day. This study proposes to develop end-user risk analysis decision guides based on an exploration of two completely independent and objective technologies to scale the risk of impaired driving by DUI offenders: alcohol biomarkers from blood/urine, and the patterned record of serial BAC tests provided by drivers who use alcohol ignition interlock devices (IIDs). Data from this study is based on blood, urine and hair alcohol biomarkers of DUI drivers from Alberta, Canada. Biological markers were measured by collaborating laboratories in Canada, USA, Luxembourg, Germany and Sweden.
Failed IID BAC tests strongly predict subsequent driving under the influence of alcohol (DUI) convictions. Blood and urine derived alcohol biomarkers also predict driver alcohol risk. Research has now documented convergence of these behavioral and biological methods of quantifying driver risk; the strongest biomarker predictors of driver risk are PEth, EtG, GGT, and %CDT. Alcohol biomarkers, which are measureable long after BAC has fallen to zero, allow for a more stable index of alcohol exposure. Alcohol biomarkers, IID BAC tests and psychometric assessments converge and can now be studied together. This project examines independent source data on DUIs, and will develop end user tools for detecting and codifying characteristics of the highest risk drivers who warrant more intensive control and monitoring. The basic research data to be explored has 534 IID drivers; 300 of them provided baseline blood for 6 major alcohol biomarkers (including GGT, PEth and %CDT). Subsamples of 90-150 DUI provided urine or hair for the other markers. Driver records, demographic and psychometric assessment data (DrinC, AUDIT, TLFB, TRI) are available for over 500. PUBLIC HEALTH RELEVANCE: Alcohol road crashes are estimated to cost over $100 billion annually and lead to the death or injury of hundreds of thousands of people. The proposed work is directed toward reducing alcohol impaired driving toll through the convergence of independent objective methods (behavioral/performance and biomedical) that will be used to scale driver risk. This project seeks to explore, combine, and extract information from existing data sets and use this new information to create draft decision tools for those on the front line who help manage the societal problem of alcohol impaired driving.