{"title":"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","authors":"O. Garkaz, H. Mehryar, H. Khalkhali, S. Lak","doi":"10.30491/TM.2020.213470.1007","DOIUrl":null,"url":null,"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.","PeriodicalId":23249,"journal":{"name":"Trauma monthly","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Factors affecting the severity of traffic accident injuries; a cross-sectional study based on the Haddon matrix\",\"authors\":\"O. Garkaz, H. Mehryar, H. Khalkhali, S. Lak\",\"doi\":\"10.30491/TM.2020.213470.1007\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":23249,\"journal\":{\"name\":\"Trauma monthly\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trauma monthly\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30491/TM.2020.213470.1007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EMERGENCY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trauma monthly","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30491/TM.2020.213470.1007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
Factors affecting the severity of traffic accident injuries; a cross-sectional study based on the Haddon matrix
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.