Investigating the Effects of Social Determinants of Traffic Crash Mortality in Isfahan City

H. Jafari, M. Amini-Rarani, M. Ranjbar, Milad Shafii, Ashraf Haj-Hashemi
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Abstract

Introduction Many people die as a result of road traffic crashes globally every year. Low- and middle-income countries had higher road crashes mortality compared to high-income countries and Iran is one of the countries with the high road crashes mortality in the world. Regarding the important and basic role the social components plays in health. The current study aims to investigate social determinants of traffic crash mortality in Isfahan during the 2014-2017. Methods: This study was a cross-sectional data secondary analysis. 29909 traffic crashes were analyzed. Data were extracted from the Hospital Information System (HIS) and analyzed using logistic regression. Social determinants were selected using the Commission on Social Determinants of Health conceptual framework. Data were analyzed with Stata 14 software at a significance level of less than 0.05 Results: we found that 719(2.8%) mortalities were related to traffic accident injury. The death rate due to traffic crash in the hospital was 2.4%. Multivariate logistic regression showed that men (P-value =0.00), unemployed people, less than 65 years of age, injured transported from suburb and passengers of small vans/trucks (P-value <0.00) had higher odds of mortality caused by traffic crashes. Conclusions: Considering the importance of social factors on traffic crashes mortality, health policy-makers should develop preventive programs and adopting policies based on occupation, sex, age, mode of transport of the injured, and the type of vehicles to inform interventions aimed at reducing injury-related mortality.
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伊斯法罕市交通事故死亡率的社会决定因素影响调查
全球每年有许多人死于道路交通碰撞。低收入和中等收入国家的道路交通事故死亡率高于高收入国家,伊朗是世界上道路交通事故死亡率最高的国家之一。关于社会因素在健康中所起的重要和基本作用。目前的研究旨在调查2014-2017年伊斯法罕交通事故死亡率的社会决定因素。方法:本研究采用横断面资料二次分析。分析了29909起交通事故。数据从医院信息系统(HIS)中提取,并使用逻辑回归进行分析。社会决定因素是根据健康问题社会决定因素委员会概念框架选定的。结果:719例(2.8%)死亡与交通事故伤害有关。医院里交通事故的死亡率是2.4%。多因素logistic回归分析显示,男性(p值=0.00)、无业人员、65岁以下人群、郊区运送的伤者和小型货车/卡车乘客(p值<0.00)的交通事故死亡率较高。结论:考虑到社会因素对交通事故死亡率的重要性,卫生政策制定者应制定预防方案,并根据受伤者的职业、性别、年龄、交通方式和车辆类型制定政策,为降低交通事故死亡率提供信息干预措施。
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