Background: In France, benzodiazepine anxiolytics and z-hypnotics (zolpidem and zopiclone) account for the largest share of road traffic crash risk attributable to exposure to prescription drugs. The aim of this study was to monitor the evolution of the use of these prescription drugs and their association with crash risk over a period that began before the implementation of a color-graded pictogram system printed on prescription drug boxes.
Methods: Data from three French national databases were extracted and linked: the national health care insurance database, police reports, and the national police database of injurious crashes. Drivers involved in an injurious crash in France, from July 2005 to December 2015, and identified by their national identifier were included. The association with crash risk was estimated using a responsibility analysis comparing the use of benzodiazepines and z-hypnotics among drivers responsible or not for the crash.
Results: A total of 97,936 responsible and 103,522 non-responsible drivers involved in an injurious crash were included. The proportion of drivers exposed to benzodiazepine anxiolytics or z-hypnotics remained stable among responsible and non-responsible drivers. Among controls from the general population, the proportion of exposed individuals tended to increase. The association with crash risk remained almost constant over the study period. The odds-ratio for benzodiazepines ranged between 1.42 [1.24-1.62] at the beginning of the study period and 1.27 [1.09-1.47] at the end.
Conclusion: Given the increase in exposure in the control group from the general population, the stability of exposure for responsible and non-responsible drivers can be interpreted as a relative effectiveness of the pictogram on driver exposure levels. On the other hand, while the intrinsic effect of a prescription drug cannot be modified, a decrease in risk could have been expected if drivers adapted their behavior as promoted by the pictogram. Our results therefore suggest that no significant change occurred in driving behaviors or consumption patterns.
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http://dx.doi.org/10.1186/s40621-019-0209-8 | DOI Listing |
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
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Study Design: Retrospective cohort study using the TriNetX national clinical database.
Setting: Analysis of a nationwide patient cohort.
Accid Anal Prev
January 2025
Department of Civil Engineering, The University of British Columbia, Canada.
Proactive and holistic safety management approaches should consider multi-modal crash risk. Cyclist crash risk should be prioritized given the high-severity of vehicle-cyclist crashes. Cyclist crash risk is difficult to quantify given the sparse nature of cyclist collisions and collisions in general.
View Article and Find Full Text PDFChin J Traumatol
January 2025
Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Electronic address:
Purpose: Attention-deficit/hyperactivity disorder (ADHD) increases the risk of road traffic injuries through various mechanisms including higher risky driving behaviors. Therefore, drivers with ADHD are shown to be more prone to road traffic injuries. This study was conducted in a community-based sample of drivers to determine how ADHD affects driving behavior components.
View Article and Find Full Text PDFHeliyon
July 2024
School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Road traffic accidents pose a significant global health concern, with an alarming 1.19 million fatalities reported in 2021. Traditionally, strategies to address this challenge have relied on expert input and subjective evaluations.
View Article and Find Full Text PDFInj Epidemiol
January 2025
Injury Prevention Research Center, University of Iowa, 145 N Riverside Dr., Iowa City, IA, 52242, USA.
Background: Motor vehicle crashes are the second leading cause of injury death among adults aged 65 and older in the U.S., second only to falls.
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