O'Connor Peter J, Brown Doug
University of Adelaide, SA, Australia.
Accid Anal Prev. 2006 Nov;38(6):1081-6. doi: 10.1016/j.aap.2006.04.013. Epub 2006 Jun 6.
Road crashes involving occupants of light passenger vehicles are the leading cause of traumatic spinal cord injury (SCI). Confirming the results of an earlier study, this study showed that: in single vehicle car crashes in the country, the odds of SCI were nearly five times higher (4.7) for occupants of non-sedan type light passenger vehicles compared with sedans; in single vehicle rollover crashes in the country, the odds of SCI were nearly three times higher (2.8) in non-sedans compared with sedans; the odds of SCI were nearly five times higher (4.8) for sports utility vehicles (SUVs) compared with sedans. When the data from the earlier study was included in order to increase statistical power, it was found that when compared to sedans that did not roll, occupants of all types of light passenger vehicles had a statistically significant substantially higher likelihood of SCI when involved in rollover (sedans 7.5 times, SUVs 5.9 times and others 8.4 times). In addition, SUVs had a higher likelihood of SCI even when not involved in rollover (5.4 times). Vehicle designers and regulators need to give more attention to the prevention of vehicle rollover and the means to improve occupant protection in the event of rollover. This study should be extended nationally to gain a larger case series so that the SCI risk of particular vehicle configurations, considering other crash factors, can be more precisely quantified and characteristics for low occurrence of SCI identified.
涉及轻型乘用车驾乘人员的道路交通事故是创伤性脊髓损伤(SCI)的主要原因。本研究证实了早期一项研究的结果,表明:在该国的单车碰撞事故中,非轿车型轻型乘用车驾乘人员发生SCI的几率比轿车驾乘人员高出近五倍(4.7倍);在该国的单车翻车事故中,非轿车发生SCI的几率比轿车高出近三倍(2.8倍);运动型多用途汽车(SUV)发生SCI的几率比轿车高出近五倍(4.8倍)。为了提高统计效力而纳入早期研究的数据后发现,与未翻车的轿车相比,所有类型轻型乘用车的驾乘人员在发生翻车事故时发生SCI的可能性在统计学上显著更高(轿车为7.5倍,SUV为5.9倍,其他车型为8.4倍)。此外,即使不发生翻车,SUV发生SCI的可能性也更高(5.4倍)。车辆设计师和监管机构需要更加关注预防车辆翻车以及在翻车情况下提高驾乘人员保护的方法。本研究应在全国范围内扩展以获得更大的病例系列,以便在考虑其他碰撞因素的情况下,能够更精确地量化特定车辆配置的SCI风险,并确定SCI发生率低的特征。