Document Type: Original Article
MSc of Epidemiology, Shahroud University of Medical Sciences, Shahroud, Iran
Assistant Professor of Emergency Medicine, Urmia University of Medical Sciences, Urmia, Iran
Professor of Biostatistics, Urmia University of Medical Sciences, Urmia, Iran
Associate Professor of Epidemiology, Department of Public Health, Islamic Azad University, Tabriz Branch, Tabriz, Iran
Background: Based on the Haddon matrix, several factors such as environment, host, and agent can affect the severity of traffic-related injuries.
Objectives: This study aimed to determine the factors affecting the severity of injuries due to traffic accidents using the Haddon matrix.
Methods: In this cross-sectional study, all traffic accident victims (n=2015) referred to Imam Khomeini Hospital in Urmia during 2015-2016 were selected by the census method. Demographic data of the patients and data regarding Haddon risk factors was collected and then analyzed by descriptive statistics, chi-square test, and multivariate logistic regression using the SPSS 18 software.
Results: The mean age of the participants was 33.63±18.53 years. Most of the victims of traffic accidents were male (age range, 17-30 years) with severe and critical injuries. The most common mechanisms of injury were car-pedestrian collisions (27.9%), car overturning (31.1%), and collisions between two cars (26.3%). Violation of speed limit (73.2%) and violation of right-of-way (17.9%) were the most common moving violations. Additionally, the results of the multivariate analysis regarding vehicle safety devices showed that there was a significant relationship between the time and location of the accident and the severity of the injury (p<0.001).
Conclusion: The findings of this study reveal that many factors, including using vehicle safety tools and time and location of the accidents have been implicated in the severity of accident-related injuries. Hence, appropriate planning and training and national and international measures can be helpful in reducing injury severity.