The George Institute for Global Health, The University of Sydney, PO Box M201, Missenden Road, Sydney, NSW 2050, Australia.
J Epidemiol Community Health. 2010 Nov;64(11):998-1003. doi: 10.1136/jech.2009.091496. Epub 2009 Oct 12.
Previous studies that found increased crash risks for young drivers of low socioeconomic status (SES) have failed to adjust for factors such as driving exposure and rural residence. This aim of this study is to examine the independent effect of SES on crash risk, adjusting for such factors, and to examine the relationship between injury severity following a crash and SES.
Information on risk factors for crash collected from 20,822 newly licenced drivers aged 17-24 years in New South Wales, Australia, as part of the DRIVE Study was prospectively linked to hospitalisation data. SES was classified as high, moderate or low based on the Australia 2001 Socio-Economic Index for Areas. Poisson regression was used to model risk of crash-related hospitalisation by SES, adjusting for confounders. Two measures of injury severity--urgency of treatment and length of hospital stay--were examined by SES.
Results of multivariable analysis showed that drivers from low SES areas had increased relative risk (RR 1.8, 95% CI 1.1 to 3.1) of crash-related hospitalisation compared to drivers from high SES areas. This increased risk remained when adjusting for confounders including driving exposure and rurality (RR 1.9, 95% CI 1.1 to 3.2). No significant association was found between injury severity and SES.
The higher risk of crash-related hospitalisation for young drivers from low SES areas is independent of driving exposure and rural-urban differences. This finding may help improve and better target interventions for youth of low SES.
之前的研究发现,社会经济地位(SES)较低的年轻驾驶员发生事故的风险增加,但这些研究未能调整驾驶暴露和农村居住等因素。本研究旨在检验 SES 对事故风险的独立影响,同时调整这些因素,并检验事故后受伤严重程度与 SES 的关系。
澳大利亚新南威尔士州 20,822 名年龄在 17-24 岁的新获得驾照的驾驶员作为 DRIVE 研究的一部分,前瞻性地收集了与事故相关的危险因素信息,并与住院数据相关联。SES 根据澳大利亚 2001 年社会经济区域指数进行分类,分为高、中、低。采用泊松回归模型,调整混杂因素后,按 SES 模型计算与事故相关的住院风险。通过 SES 检验了两种严重程度的衡量指标——治疗的紧迫性和住院时间长度。
多变量分析结果表明,与 SES 较高地区的驾驶员相比,SES 较低地区的驾驶员发生与事故相关的住院治疗的相对风险增加(RR 1.8,95%CI 1.1 至 3.1)。在调整驾驶暴露和城乡差异等混杂因素后,这种风险仍然存在(RR 1.9,95%CI 1.1 至 3.2)。SES 与受伤严重程度之间无显著关联。
SES 较低的年轻驾驶员发生与事故相关的住院治疗的风险较高,这独立于驾驶暴露和城乡差异。这一发现可能有助于改善和更好地针对 SES 较低的年轻人实施干预措施。