St Louis Renée M, Koppel Sjaan, Molnar Lisa J, Di Stefano Marilyn, Darzins Peteris, Bédard Michel, Mullen Nadia, Myers Anita, Marshall Shawn, Charlton Judith L
University of Michigan Transportation Research Institute, Ann Arbor, USA.
Monash University Accident Research Centre, Clayton, Australia.
J Appl Gerontol. 2023 Aug;42(8):1749-1759. doi: 10.1177/07334648231156320. Epub 2023 Feb 7.
This study compared a sample of Australian drivers aged 77 years and older to participants from an older driver longitudinal cohort study (Ozcandrive) and examined the relationship between resilience and self-reported driving measures within these samples. Using a survey with a subset of questions from Ozcandrive, data were collected from 237 older drivers throughout Australia. The two samples were analyzed for differences in demographics, health, resilience, and self-reported driving behavior. A series of multiple regression models were fit for each driving outcome measure for both samples. The two samples had both similarities and differences, with the largest difference observed for resilience. Strong and consistent associations were found between resilience and driving comfort, abilities, and frequency for the Australian sample. Across samples, resilience remained a significant variable in seven of 10 regression models, more than any other independent variable.
本研究将一组77岁及以上的澳大利亚驾驶员与一项老年驾驶员纵向队列研究（Ozcandrive）的参与者进行了比较，并考察了这些样本中恢复力与自我报告的驾驶指标之间的关系。通过一项采用Ozcandrive部分问题的调查，从澳大利亚各地的237名老年驾驶员中收集了数据。对这两个样本在人口统计学、健康状况、恢复力和自我报告的驾驶行为方面的差异进行了分析。针对两个样本的每项驾驶结果指标，拟合了一系列多元回归模型。这两个样本既有相似之处，也有不同之处，其中恢复力方面的差异最为明显。在澳大利亚样本中，恢复力与驾驶舒适度、能力和频率之间存在强烈且一致的关联。在所有样本中，恢复力在10个回归模型中的7个中仍是一个显著变量，比任何其他自变量都更显著。
