Taravatmanesh Leila, Mortazavi Seyyed Mohsen, Baneshi Mohammad Reza, Poor Mojtaba Shirbeygi, Saeedifar Arezoo, Zolala Farzaneh
M.Sc. of Epidemiology, Department of Biostatistics and Epidemiology, School of Health, Kerman University of Medical Sciences, Kerman, Iran.
MD, Head of Disaster Management and Emergency Response in Rafsanjan City, Rafsanjan University of Medical Science, Rafsanjan, Iran.
Electron Physician. 2018 May 5;10(5):6859-6863. doi: 10.19082/6859. eCollection 2018 May.
Injury is recognized as a major health problem in most high and low-income countries. Rafsanjan is considered as one of the accident-prone areas in Kerman province.
To study the epidemiology of traffic accidents in the Rafsanjan city.
This cross-sectional study was conducted, by using the data from the Emergency Department (ED) of Aliebn Abitaleb Hospital in Rafsanjan city. The population included all people who had had a traffic accident in the city of Rafsanjan from March 21, 2014 through February 18, 2015. The sample included those who had been injured and transferred to the ED of Aliebn Abitaleb Hospital. Data were analyzed using Chi-square, independent-samples t-test, and logistic regression. SPSS software version 19 was used for data analysis. P< 0.05 was considered statistically significant.
Age, gender and location of accident, had significant association with the number of mortalities (p=0.02), and other results of this study suggest that there was a significant relationship between the status of the injured and the gender (p<0.001), the accident location (p<0.001), and the type of injury (p<0.001).
The rate of accidents in one year in Rafsanjan city was high. Moreover, young people and motorcyclists had most accidents. Teaching the laws and regulations to the people of the city, is the most effective method in reducing accidents and mortality.
在大多数高收入和低收入国家，伤害被视为一个主要的健康问题。拉夫桑贾被认为是克尔曼省事故多发地区之一。
研究拉夫桑贾市交通事故的流行病学情况。
本横断面研究利用了拉夫桑贾市阿列布·阿比塔莱布医院急诊科的数据。研究人群包括2014年3月21日至2015年2月18日期间在拉夫桑贾市发生交通事故的所有人。样本包括那些受伤并被转至阿列布·阿比塔莱布医院急诊科的人。数据采用卡方检验、独立样本t检验和逻辑回归进行分析。使用SPSS 19版软件进行数据分析。P<0.05被认为具有统计学意义。
年龄、性别和事故发生地点与死亡人数有显著关联（p=0.02），本研究的其他结果表明，受伤状况与性别（p<0.001）、事故发生地点（p<0.001）和损伤类型（p<0.001）之间存在显著关系。
拉夫桑贾市一年中的事故发生率很高。此外，年轻人和骑摩托车的人发生事故最多。向该市居民传授法律法规是减少事故和死亡率的最有效方法。
