Environmental Related Risk Factors to Road Traffic Accidents in Ilam, Iran

Marzieh Mansoori Jalilian, H. Safarpour, J. Bazyar, Meysam Safi Keykaleh, Leila Malekyan, A. Khorshidi
{"title":"Environmental Related Risk Factors to Road Traffic Accidents in Ilam, Iran","authors":"Marzieh Mansoori Jalilian, H. Safarpour, J. Bazyar, Meysam Safi Keykaleh, Leila Malekyan, A. Khorshidi","doi":"10.5455/medarh.2019.73.169-172","DOIUrl":null,"url":null,"abstract":"Introduction: Road traffic injuries (RTIs) are the most serious health issue in the world and the main cause of death after the first year of birth. Environmental factors are among the most important and effective aspects of RTIs occurrences and their human consequences. Aim: This study aimed to identify the environmental factors associated with road traffic accidents (RTAs) in Ilam province. Methods: All crash data in Ilam province in 2012 were investigated. RTI’s data was collected using COM 114 form which included some human, environmental and vehicle related factors. Through Chi-Square test and logistic regression model, the association between environmental factors and RTIs was examined. For all statistical analyses we used the package Stata 13.1. Results: A total of 2314 traffic accidents were investigated. The highest 1659 (72.3%) and lowest 19 (0.83%) frequency of RTAs occurred during day and sunrise respectively. The majority of RTAs took place in July and September. The maximum number of RTAs was when the day was clear (91.7%) 2103 and the minimum when it was cloudy (3.5%) 81. A significant relationship was found between fatal RTAs and factors such as; the sort of the road, the hindered visibility, the location of the accident, the accidents’ place, the climate, and lighting of the day (P<0.05). The adjusted chance of traffic accidents causing death or injuries in main streets was 9.7 times more than in highways; in sidetracks it was 3.54 times more. And when it was cloudy, the chance was 2.60 times more than when was clear (P<0.05). Conclusion: Regarding the standards of road construction, development of the roads, and educating drivers how to adjust their driving behavior to the environment and road conditions could have a great role in decreasing RTAs causing death or injury.","PeriodicalId":18414,"journal":{"name":"Medical Archives","volume":"15 1","pages":"169 - 172"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Archives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/medarh.2019.73.169-172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Introduction: Road traffic injuries (RTIs) are the most serious health issue in the world and the main cause of death after the first year of birth. Environmental factors are among the most important and effective aspects of RTIs occurrences and their human consequences. Aim: This study aimed to identify the environmental factors associated with road traffic accidents (RTAs) in Ilam province. Methods: All crash data in Ilam province in 2012 were investigated. RTI’s data was collected using COM 114 form which included some human, environmental and vehicle related factors. Through Chi-Square test and logistic regression model, the association between environmental factors and RTIs was examined. For all statistical analyses we used the package Stata 13.1. Results: A total of 2314 traffic accidents were investigated. The highest 1659 (72.3%) and lowest 19 (0.83%) frequency of RTAs occurred during day and sunrise respectively. The majority of RTAs took place in July and September. The maximum number of RTAs was when the day was clear (91.7%) 2103 and the minimum when it was cloudy (3.5%) 81. A significant relationship was found between fatal RTAs and factors such as; the sort of the road, the hindered visibility, the location of the accident, the accidents’ place, the climate, and lighting of the day (P<0.05). The adjusted chance of traffic accidents causing death or injuries in main streets was 9.7 times more than in highways; in sidetracks it was 3.54 times more. And when it was cloudy, the chance was 2.60 times more than when was clear (P<0.05). Conclusion: Regarding the standards of road construction, development of the roads, and educating drivers how to adjust their driving behavior to the environment and road conditions could have a great role in decreasing RTAs causing death or injury.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
伊朗伊拉姆地区道路交通事故的环境相关风险因素
导言:道路交通伤害是世界上最严重的健康问题,也是婴儿出生一年后死亡的主要原因。环境因素是rti发生及其人类后果的最重要和最有效的方面之一。目的:本研究旨在找出与伊拉姆省道路交通事故(RTAs)相关的环境因素。方法:对2012年伊拉姆省所有交通事故数据进行调查。RTI的数据采用COM 114表格收集,其中包括一些与人为、环境和车辆相关的因素。通过卡方检验和logistic回归模型,检验环境因素与rti的相关性。对于所有的统计分析,我们使用Stata 13.1包。结果:共调查交通事故2314起。白天和日出时段rta频次分别最高1659例(72.3%)和最低19例(0.83%)。大多数区域贸易协定发生在7月和9月。晴天时rta数量最多(91.7%)2103个,多云时最少(3.5%)81个。致死性rta与以下因素有显著关系:道路类型、能见度障碍、事故发生地点、事故发生地点、气候和当天的光照(P<0.05)。调整后的主干道交通事故伤亡概率是高速公路的9.7倍;在侧轨上,这个数字是3.54倍。多云时的概率是晴天的2.60倍(P<0.05)。结论:提高道路建设标准,发展道路,教育驾驶员如何根据环境和道路状况调整驾驶行为,对减少交通事故造成的伤亡有重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Social Attitude of Children with Special Needs in The Learning Process Hemangioma–Benign Tumor in Childhood Historical Background of Medical Informatics Development Atypical Presentation of Erythema Nodosum Following Pfizer-BioNTech COVID-19 Vaccine Hypothyroidism and Subclinical Hypothyroidism as a Consequence of COVID-19 Infection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1