Factors affecting the severity of traffic accident injuries; a cross-sectional study based on the Haddon matrix

IF 0.2 Q4 EMERGENCY MEDICINE
O. Garkaz, H. Mehryar, H. Khalkhali, S. Lak
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引用次数: 3

Abstract

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.
影响交通事故伤害严重程度的因素;基于哈登矩阵的横断面研究
背景:基于Haddon矩阵,环境、宿主、代理等因素可影响交通相关伤害的严重程度。目的:本研究旨在利用Haddon矩阵确定影响交通事故伤害严重程度的因素。方法:采用横断面研究方法,选取2015-2016年在乌尔米亚伊玛目霍梅尼医院转诊的所有交通事故受害者(n=2015)。收集患者人口学资料及Haddon危险因素资料,采用SPSS 18软件进行描述性统计、卡方检验和多因素logistic回归分析。结果:参与者平均年龄为33.63±18.53岁。大多数交通事故受害者为男性(年龄范围17-30岁),受重伤和重伤。最常见的伤害机制是车-行人碰撞(27.9%)、汽车翻车(31.1%)和两车碰撞(26.3%)。违反速度限制(73.2%)和违反路权(17.9%)是最常见的交通违规行为。此外,关于车辆安全装置的多变量分析结果显示,事故发生的时间和地点与伤害的严重程度之间存在显著关系(p<0.001)。结论:本研究结果揭示了许多因素,包括车辆安全工具的使用和事故发生的时间和地点,都与事故相关伤害的严重程度有关。因此,适当的计划和训练以及国家和国际措施可以帮助减轻伤害的严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trauma monthly
Trauma monthly EMERGENCY MEDICINE-
CiteScore
0.60
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