摘要目的 研究合肥市非机动车辆交通事故伤情的相关危险因素. 方法 对2009年6月-2011年6月收治的合肥市非机动车交通事故的伤员资料归纳整理,行假设检验筛选相关危险因素,并进行多因素非条件Logistic回归分析. 结果 (1)2009年6月- 2011年6月共收治涉及非机动车交通伤患者205例:电动自行车146例,自行车59例.轻中度损伤( ISS≤15)147例(71.7％),重度损伤(ISS＞ 15)58例(28.3％),其中死亡6例(2.9％).(2)各类别单因素的假设检验提示伤亡人员的年龄、类别、驾驶行为是否违章、碰撞形态、碰撞物类型、驾驶车辆类型与合肥市非机动车交通事故人员伤情程度相关.(3)非条件多因素Logistic回归分析显示,合肥市非机动车交通伤情程度存在4个危险因素,按相关程度排列为驾驶车辆类型、碰撞形态、违章情况、人员年龄. 结论 通过对合肥市非机动车交通伤的研究,初步识别了本地区该类型交通事故伤情的相关危险因素,为减少相关事故伤亡、建立适当的干预措施提供科学的依据.

abstractsObjective To explore the related risk factors of injuries caused by non-motor vehicle crashes in Hefei,Anhui Province. Methods From June 2009 to June 2011,the wounded from nonmotor vehicle crashes in Hefei were admitted to our hospital.The data of the wounded were collected to perform hypothesis test to screen out the related risk factors,which were then analyzed with multiple-factor non-conditional Logistic regression analysis. Results A total of 205 cases who were wounded in the non-motor vehicle crashes were admitted to our hospital from June 2009 to June 2011.Among all the cases,146 cases were wounded in electric bicycle crashes and 59 cases in bicycle crashes.There were 147cases (71.7％) of mild to moderate injuries ( ISS ≤ 15 ),and 58 cases (28.3％) of severe injuries (ISS ＞ 15 ) including six deaths (2.9％).Single factor of different categories of the hypothesis test suggested that age,category,driving behavior,crash model,impact type,vehicle type were all related with the severity of injuries caused by non-motor vehicle crashes in Hefei.The multiple-factor non-conditional Logistic regression analysis showed four risk factors for the injury severity in non-motor vehicle crashes in Hefei,ie,vehicle type,crash model,violations of rules and regulations as well as age,according to the degree of correlation. Conclusion With the study of non-motor vehicle crashes in Hefei,primary identification of the risk factors for the traffic injuries is obtained,which provides scientific basis for the decrease of casualty and establishment of intervention measures.