Simons-Morton Bruce, Li Kaigang, Ehsani Johnathon, Vaca Federico E
a Health Behavior Branch, National Institute of Child Health & Human Development , Bethesda , Maryland.
b Colorado State University , Department of Health and Exercise Science , Fort Collins , Colorado.
Traffic Inj Prev. 2016 Jul 3;17(5):441-6. doi: 10.1080/15389588.2015.1107183. Epub 2015 Oct 29.
This research examined the extent to which teenagers who engaged in one form of risky driving also engaged in other forms and whether risky driving measures were reciprocally associated over time.
The data were from waves 1, 2, and 3 (W1, W2, and W3) of the NEXT Generation study, with longitudinal assessment of a nationally representative sample starting with 10th graders starting in 2009-2010. Three measures of risky driving were assessed in autoregressive and cross-lagged analyses: driving while alcohol/drug impaired (DWI), Checkpoints Risky Driving Scale (risky and unsafe driving), and secondary task engagement while driving.
In adjusted autoregression models, the risk variables demonstrated high levels of stability, with significant associations observed across the 3 waves. However, associations between variables were inconsistent. DWI at W2 was associated with risky and unsafe driving at W3 (β = 0.21, P < .01); risky and unsafe driving at W1 was associated with DWI at W2 (β = 0.20, P < .01); and risky and unsafe driving at W2 is associated with secondary task engagement at W3 (β = 0.19, P < .01). Over time, associations between DWI and secondary task engagement were not significant.
Our findings provide modest evidence for the covariability of risky driving, with prospective associations between the Risky Driving Scale and the other measures and reciprocal associations between all 3 variables at some time points. Secondary task engagement, however, appears largely to be an independent measure of risky driving. The findings suggest the importance of implementing interventions that addresses each of these driving risks.
本研究调查了从事一种危险驾驶形式的青少年在多大程度上也从事其他形式的危险驾驶,以及危险驾驶行为指标随时间推移是否存在相互关联。
数据来自下一代研究的第1、2和3波(W1、W2和W3),对2009 - 2010年开始的10年级学生这一具有全国代表性的样本进行纵向评估。在自回归和交叉滞后分析中评估了三种危险驾驶行为指标:酒精/药物影响下驾驶(DWI)、检查点危险驾驶量表(危险和不安全驾驶)以及驾驶时从事次要任务。
在调整后的自回归模型中,风险变量显示出高度稳定性,在3波研究中均观察到显著关联。然而,变量之间的关联并不一致。W2时的DWI与W3时的危险和不安全驾驶相关(β = 0.21,P <.01);W1时的危险和不安全驾驶与W2时的DWI相关(β = 0.20,P <.01);W2时的危险和不安全驾驶与W3时的次要任务参与相关(β = 0.19,P <.01)。随着时间推移,DWI与次要任务参与之间的关联不显著。
我们的研究结果为危险驾驶行为的协变性提供了一定证据,危险驾驶量表与其他指标之间存在前瞻性关联,并且在某些时间点所有3个变量之间存在相互关联。然而,次要任务参与似乎在很大程度上是危险驾驶的一个独立指标。研究结果表明实施针对每种驾驶风险的干预措施具有重要意义。