Objective: Road traffic crashes are one of the global public health concerns and remain at high priority in many countries. Driving under the influence of drugs increases the risk of crashes through altering the driver's mental state and reactions. This study was conducted to determine the relationship between driving pattern and substance abuse among drivers in Kerman, a city in Iran, in order to enable policy makers to make the necessary decisions in planning and executing guidelines.
Methods: The population of this descriptive study was drivers involved in road traffic crashes admitted to the emergency department of Shahid Bahonar university hospital in summer 2019. After obtaining demographic information, type of vehicle, type of collision and pattern of serious injury, 222 eligible drivers were tested for tramadol, cannabis, amphetamine, methamphetamine, morphine and methadone using one step urine test strips. Chi-square test, Fisher's exact test, Whitney-Mann and Kruskal-Wallis tests and one-way Anova test was performed using SPSS version 22.
Results: The statistics showed that most drivers were male (90.5%), married (63.5%), age group (18-30) and had positive urine test (76.6%). In addition to uniqueness of dual-drug detection among male drivers (7.7%), the most common substances detected were methadone and morphine with 34.7% and 27.5% respectively. The most common injuries were lower limb and hip injuries mostly among motorcyclists. The results indicated that characteristics of being under 30's, married, school dropout, self-employed and motorcyclist had significant relationship with substance use.
Conclusions: Substance use, especially methadone, has undoubtedly a significant role in both road traffic crashes and resulted injuries. The high rate of injuries on drivers influenced by methadone in traffic crashes needs to be screened and prevented. It is recommended to not only authoritatively deal with the excessive supply of methadone in the community but also restricting the driving of people receiving methadone treatment.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/15389588.2021.1889528 | DOI Listing |
PLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan.
Background And Objective: Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. This study aims to identify risk factors for overtaking, rear-end, and door crashes that occur on road segments.
View Article and Find Full Text PDFPLoS One
January 2025
School of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.
A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. Given the U.S.
View Article and Find Full Text PDFTunis Med
December 2024
Department of Anesthesiology and Intensive Care, Sahloul University Hospital, Sousse, Tunisia.
Unlabelled: Introduction-Aim: Validated triage tools such as the Vittel criteria are essential to improve the care of trauma patients. The aim of this study was to evaluate the correlation between the Vittel triage criteria and the Injury Severity Score (ISS) to improve the accuracy of pre-hospital triage.
Methods: We conducted a longitudinal study of all trauma patients transported by EMS over a two-year period (November 2021- November 2023).
PLoS One
January 2025
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.
Predicting incident duration and understanding incident types are essential in traffic management for resource optimization and disruption minimization. Precise predictions enable the efficient deployment of response teams and strategic traffic rerouting, leading to reduced congestion and enhanced safety. Furthermore, an in-depth understanding of incident types helps in implementing preventive measures and formulating strategies to alleviate their influence on road networks.
View Article and Find Full Text PDFFront Immunol
January 2025
Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Punjab, Pakistan.
Introduction: Tetanus, caused by , poses a life-threatening risk by affecting the nervous system and inducing muscle tightness. The objective of this study is to examine the knowledge, attitudes, and behaviors of non-medical university students regarding the tetanus vaccine in the context of post-road accidents.
Methods: A descriptive cross-sectional study was conducted in 2023, involving 378 students from non-medical disciplines, primarily from information technology, business administration, and engineering faculties, with a mean age of 20.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!