Sergio Garbarino1, Lino Nobili2, Pierre Philip3, Giuseppe Plazzi4, Claudio Campus5, Elisa Morrone6, Fabrizio De Carli7. 1. Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal-Child Health, University of Genoa, Italy. 2. Center of Sleep Medicine, Niguarda Hospital, Milan, Italy. 3. University de Bordeaux, Sommeil, Attention et Neuropsychiatrie, Bordeaux, France. 4. Department of Biomedical and Neuromotor Sciences, University of Bologna and IRCCS Institute of Neurological Sciences, Bologna, Italy. 5. Italian Institute of Technology (IIT), Department of Robotics, Brain and Cognitive Sciences. 6. Sleep Center, Fondazione Salvatore Maugeri, IRCCS, Scientific Institute of Pavia, Italy. 7. Institute of Bioimaging and Molecular Physiology, National Research Council (CNR), Genoa, Italy.
Abstract
STUDY OBJECTIVES: The study was aimed at estimating the effect of alcohol consumption, time of day, and their interaction on traffic crashes in a real regional context. METHODS: Blood alcohol concentration (BAC) data were collected from drivers involved in traffic accidents during one year in an Italian region and in a control group of drivers over the same road network. Mean circadian sleep propensity was estimated from a previous study as function of time of day. Accident risk was analyzed by logistic regression as function of BAC and circadian sleep propensity. RESULTS: BAC values greater than zero were found in 72.0% of the drivers involved in crashes and in 40.4% of the controls. Among the former 23.6% of the drivers exceeded the BAC legal threshold of 0.05 g/dL, while illegal values were found in 10.4% of the controls. The relative risk showed a significant increase with both BAC and circadian sleep propensity (as estimated from time of day) and their interaction was significant. CONCLUSIONS: Due to the significant interaction, even low BAC levels strongly increased accident risk when associated with high sleep propensity.
STUDY OBJECTIVES: The study was aimed at estimating the effect of alcohol consumption, time of day, and their interaction on traffic crashes in a real regional context. METHODS: Blood alcohol concentration (BAC) data were collected from drivers involved in traffic accidents during one year in an Italian region and in a control group of drivers over the same road network. Mean circadian sleep propensity was estimated from a previous study as function of time of day. Accident risk was analyzed by logistic regression as function of BAC and circadian sleep propensity. RESULTS: BAC values greater than zero were found in 72.0% of the drivers involved in crashes and in 40.4% of the controls. Among the former 23.6% of the drivers exceeded the BAC legal threshold of 0.05 g/dL, while illegal values were found in 10.4% of the controls. The relative risk showed a significant increase with both BAC and circadian sleep propensity (as estimated from time of day) and their interaction was significant. CONCLUSIONS: Due to the significant interaction, even low BAC levels strongly increased accident risk when associated with high sleep propensity.
Authors: Joris C Verster; Adriana C Bervoets; Suzanne de Klerk; Rick A Vreman; Berend Olivier; Thomas Roth; Karel A Brookhuis Journal: Psychopharmacology (Berl) Date: 2014-02-22 Impact factor: 4.530
Authors: Marta Gonçalves; Roberto Amici; Raquel Lucas; Torbjörn Åkerstedt; Fabio Cirignotta; Jim Horne; Damien Léger; Walter T McNicholas; Markku Partinen; Joaquín Téran-Santos; Philippe Peigneux; Ludger Grote Journal: J Sleep Res Date: 2015-06 Impact factor: 3.981