Centre for Mental Health Research, Australian National University, Canberra ACT 0200, Australia.
Neuropsychology. 2011 Sep;25(5):613-21. doi: 10.1037/a0023835.
Older driver research has mostly focused on identifying that small proportion of older drivers who are unsafe. Little is known about how normal cognitive changes in aging affect driving in the wider population of adults who drive regularly. We evaluated the association of cognitive function and age with driving errors.
A sample of 266 drivers aged 70 to 88 years were assessed on abilities that decline in normal aging (visual attention, processing speed, inhibition, reaction time, task switching) and the UFOV®, which is a validated screening instrument for older drivers. Participants completed an on-road driving test. Generalized linear models were used to estimate the associations of cognitive factors with specific driving errors and number of errors in self-directed and instructor navigated conditions.
All error types increased with chronological age. Reaction time was not associated with driving errors in multivariate analyses. A cognitive factor measuring speeded selective attention and switching was uniquely associated with the most errors types. The UFOV® predicted blind-spot errors and errors on dual carriageways. After adjusting for age, education, and gender, the cognitive factors explained 7% of variance in the total number of errors in the instructor-navigated condition and 4% of variance in the self-navigated condition.
We conclude that among older drivers, errors increase with age and are associated with speeded selective attention, particularly when that requires attending to the stimuli in the periphery of the visual field, task switching, errors inhibiting responses, and visual discrimination. These abilities should be the target of cognitive training.
大多数关于老年驾驶员的研究都集中在识别少数不安全的老年驾驶员上。对于认知功能正常老化如何影响经常开车的成年人更广泛人群的驾驶行为,知之甚少。我们评估了认知功能和年龄与驾驶错误之间的关系。
评估了 266 名年龄在 70 至 88 岁之间的驾驶员的视觉注意力、处理速度、抑制、反应时、任务转换等正常衰老过程中会下降的能力,以及 UFOV®,这是一种经过验证的老年驾驶员筛选工具。参与者完成了道路驾驶测试。使用广义线性模型来估计认知因素与特定驾驶错误以及自我指导和指导员指导条件下错误数量的关联。
所有错误类型都随年龄的增长而增加。反应时在多变量分析中与驾驶错误无关。一项衡量快速选择性注意和转换的认知因素与大多数错误类型有关。UFOV®预测盲点错误和双车道错误。在调整年龄、教育程度和性别后,认知因素解释了指导员指导条件下总错误数的 7%和自我指导条件下总错误数的 4%。
我们的结论是,在老年驾驶员中,错误随年龄增长而增加,与快速选择性注意有关,特别是当需要注意视野周边的刺激、任务转换、抑制反应的错误以及视觉辨别时。这些能力应该是认知训练的目标。