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作 者:施建国[1] 姚远[1] 侯振海[1] 周继红[2] 王正国[2]
机构地区:[1]解放军第117医院交通伤急救中心,杭州310004 [2]第三军医大学附属大坪医院野战外科研究所、解放军交通医学研究所
出 处:《中华创伤杂志》2008年第7期553-557,共5页Chinese Journal of Trauma
基 金:国家GM自然科学基金资助项目(30522201);浙江省科技攻关计划资助项目(2006C33011)
摘 要:目的研究高速公路交通事故伤情的影响因素。方法对2005—2006年杭州地区高速公路涉及人员伤亡的交通事故资料行非条件单因素Logistic回归分析和非条件多因素Logistic回归分析。结果(1)2005—2006年立案伤亡交通事故共220起,涉及伤亡327例,其中死亡64例,重度损伤(ISS≥16分)121例,轻、中度损伤(1分≤ISS≤15分)142例,分别占19.6%、37.0%和43.4%。(2)非条件单因素Logistic回归分析显示,影响高速公路交通事故伤情的相关因素有性别、一周时间分布、天气、事故形态、车辆类型、驾驶员类型、车辆使用性质、出行目的、责任原因等。(3)非条件多因素Logistic回归分析显示,影响高速公路交通事故伤情的相关因素为性别、事故形态、驾驶员类型、责任原因等。结论通过对高速公路交通事故资料的分析,明确了交通事故伤情影响因素,可为预防和降低高速公路交通事故的危害提供帮助。Objective To study factors influencing injury severity of expressway traffic accidents. Methods Data of expressway traffic accidents involving casualties in areas around Hangzhou during 2005-2006 were collected and analyzed by non-conditional simple and multiple logistic regression analysis. Results ( 1 ) During 2005-2006, there were 220 traffic crashes involving 327 cases, of which there were 64 deaths ( 19.6% ), 121 severe injuries (37.0% , ISS≥16 points) and 142 slight and moderate injuries (43.4% , 1 point ≤ ISS≤15 points). (2) Non-conditional simple logistic regression analysis showed that risk factors significantly influencing the injury outcomes of traffic accidents included gender, weekday, weather, type of collision, vehicle type, driver category, purpose of vehicle use, purpose of travel and crash responsibility. (3) Non-conditional multiple logistic regression analysis manifested that influential factors were gender, type of collision, driver category and crash responsibility. Conclusion Analysis of expressway traffic accidents data helps identify factors influencing injury severity of expressway traffic accidents may provide suggestions for prevention or decrease of expressway traffic accidents.
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