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Prevalence of alcohol and drug use in injured British Columbia drivers

OBJECTIVES: Determine the prevalence of drug use in injured drivers and identify associated demographic factors and crash characteristics. DESIGN: Prospective cross-sectional study. SETTING: Seven trauma centres in British Columbia, Canada (2010–2012). PARTICIPANTS: Automobile drivers who had blood...

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Autores principales: Brubacher, Jeffrey R, Chan, Herbert, Martz, Walter, Schreiber, William, Asbridge, Mark, Eppler, Jeffrey, Lund, Adam, Macdonald, Scott, Drummer, Olaf, Purssell, Roy, Andolfatto, Gary, Mann, Robert, Brant, Rollin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800149/
https://www.ncbi.nlm.nih.gov/pubmed/26966054
http://dx.doi.org/10.1136/bmjopen-2015-009278
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author Brubacher, Jeffrey R
Chan, Herbert
Martz, Walter
Schreiber, William
Asbridge, Mark
Eppler, Jeffrey
Lund, Adam
Macdonald, Scott
Drummer, Olaf
Purssell, Roy
Andolfatto, Gary
Mann, Robert
Brant, Rollin
author_facet Brubacher, Jeffrey R
Chan, Herbert
Martz, Walter
Schreiber, William
Asbridge, Mark
Eppler, Jeffrey
Lund, Adam
Macdonald, Scott
Drummer, Olaf
Purssell, Roy
Andolfatto, Gary
Mann, Robert
Brant, Rollin
author_sort Brubacher, Jeffrey R
collection PubMed
description OBJECTIVES: Determine the prevalence of drug use in injured drivers and identify associated demographic factors and crash characteristics. DESIGN: Prospective cross-sectional study. SETTING: Seven trauma centres in British Columbia, Canada (2010–2012). PARTICIPANTS: Automobile drivers who had blood obtained within 6 h of a crash. MAIN OUTCOME MEASURES: We analysed blood for cannabis, alcohol and other impairing drugs using liquid chromatography/mass spectrometry (LCMS). RESULTS: 1097 drivers met inclusion criteria. 60% were aged 20–50 years, 63.2% were male and 29.0% were admitted to hospital. We found alcohol in 17.8% (15.6% to 20.1%) of drivers. Cannabis was the second most common recreational drug: cannabis metabolites were present in 12.6% (10.7% to 14.7%) of drivers and we detected Δ-9-tetrahydrocannabinol (Δ-9-THC) in 7.3% (5.9% to 9.0%), indicating recent use. Males and drivers aged under 30 years were most likely to use cannabis. We detected cocaine in 2.8% (2.0% to 4.0%) of drivers and amphetamines in 1.2% (0.7% to 2.0%). We also found medications including benzodiazepines (4.0% (2.9% to 5.3%)), antidepressants (6.5% (5.2% to 8.1%)) and diphenhydramine (4.7% (3.5% to 6.2%)). Drivers aged over 50 years and those requiring hospital admission were most likely to have used medications. Overall, 40.1% (37.2% to 43.0%) of drivers tested positive for alcohol or at least one impairing drug and 12.7% (10.7% to 14.7%) tested positive for more than one substance. CONCLUSIONS: Alcohol, cannabis and a broad range of other impairing drugs are commonly detected in injured drivers. Alcohol is well known to cause crashes, but further research is needed to determine the impact of other drug use, including drug–alcohol and drug–drug combinations, on crash risk. In particular, more work is needed to understand the role of medications in causing crashes to guide driver education programmes and improve public safety.
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spelling pubmed-48001492016-03-29 Prevalence of alcohol and drug use in injured British Columbia drivers Brubacher, Jeffrey R Chan, Herbert Martz, Walter Schreiber, William Asbridge, Mark Eppler, Jeffrey Lund, Adam Macdonald, Scott Drummer, Olaf Purssell, Roy Andolfatto, Gary Mann, Robert Brant, Rollin BMJ Open Epidemiology OBJECTIVES: Determine the prevalence of drug use in injured drivers and identify associated demographic factors and crash characteristics. DESIGN: Prospective cross-sectional study. SETTING: Seven trauma centres in British Columbia, Canada (2010–2012). PARTICIPANTS: Automobile drivers who had blood obtained within 6 h of a crash. MAIN OUTCOME MEASURES: We analysed blood for cannabis, alcohol and other impairing drugs using liquid chromatography/mass spectrometry (LCMS). RESULTS: 1097 drivers met inclusion criteria. 60% were aged 20–50 years, 63.2% were male and 29.0% were admitted to hospital. We found alcohol in 17.8% (15.6% to 20.1%) of drivers. Cannabis was the second most common recreational drug: cannabis metabolites were present in 12.6% (10.7% to 14.7%) of drivers and we detected Δ-9-tetrahydrocannabinol (Δ-9-THC) in 7.3% (5.9% to 9.0%), indicating recent use. Males and drivers aged under 30 years were most likely to use cannabis. We detected cocaine in 2.8% (2.0% to 4.0%) of drivers and amphetamines in 1.2% (0.7% to 2.0%). We also found medications including benzodiazepines (4.0% (2.9% to 5.3%)), antidepressants (6.5% (5.2% to 8.1%)) and diphenhydramine (4.7% (3.5% to 6.2%)). Drivers aged over 50 years and those requiring hospital admission were most likely to have used medications. Overall, 40.1% (37.2% to 43.0%) of drivers tested positive for alcohol or at least one impairing drug and 12.7% (10.7% to 14.7%) tested positive for more than one substance. CONCLUSIONS: Alcohol, cannabis and a broad range of other impairing drugs are commonly detected in injured drivers. Alcohol is well known to cause crashes, but further research is needed to determine the impact of other drug use, including drug–alcohol and drug–drug combinations, on crash risk. In particular, more work is needed to understand the role of medications in causing crashes to guide driver education programmes and improve public safety. BMJ Publishing Group 2016-03-10 /pmc/articles/PMC4800149/ /pubmed/26966054 http://dx.doi.org/10.1136/bmjopen-2015-009278 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Epidemiology
Brubacher, Jeffrey R
Chan, Herbert
Martz, Walter
Schreiber, William
Asbridge, Mark
Eppler, Jeffrey
Lund, Adam
Macdonald, Scott
Drummer, Olaf
Purssell, Roy
Andolfatto, Gary
Mann, Robert
Brant, Rollin
Prevalence of alcohol and drug use in injured British Columbia drivers
title Prevalence of alcohol and drug use in injured British Columbia drivers
title_full Prevalence of alcohol and drug use in injured British Columbia drivers
title_fullStr Prevalence of alcohol and drug use in injured British Columbia drivers
title_full_unstemmed Prevalence of alcohol and drug use in injured British Columbia drivers
title_short Prevalence of alcohol and drug use in injured British Columbia drivers
title_sort prevalence of alcohol and drug use in injured british columbia drivers
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800149/
https://www.ncbi.nlm.nih.gov/pubmed/26966054
http://dx.doi.org/10.1136/bmjopen-2015-009278
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