The validity of self-assessment predicts on-road driving performance beyond the effects of age and sex in older drivers with and without MCI

IF 6.2 1区 工程技术 Q1 ERGONOMICS
Daniel A. Schlueter, Kim L. Austerschmidt, Jessica Koenig, Maximilian Flieger, Julia Bergerhausen, Thomas Beblo, Martin Driessen, Max Toepper
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Abstract

Objectives

Higher age is often seen as a key factor in the decline of driving skills. Moreover, there is some evidence that overestimation is related to both higher age and poorer on-road performance in older drivers. However, it is unknown how the extent of overestimation or underestimation affects on-road driving performance beyond age.

Methods

112 older drivers with and without mild cognitive impairment participated in this prospective on-road study. All participants underwent a standardized on-road driving assessment, neuropsychological testing, collection of driving-related data and different self-assessments. Statistical analyses included a hierarchical regression analysis to predict on-road driving performance by adding age and sex in the first step and the validity of self-assessment (VSA) in the second step. Correlation analyses focused on the association between VSA and cognitive and driving-related behavioral factors.

Results

Results revealed that the combination of age and sex significantly predicted on-road driving skills (R2adjusted = 0.320). The inclusion of VSA led to a significant increase of explained variance in the criterion (R2adjusted = 0.639). Moreover, the degree of overestimation correlated with higher age, lower cognitive performance and more risky driving behavior.

Discussion

Our results highlight the importance of the VSA for on-road driving performance beyond the effects of age and sex. Moreover, the VSA appears to decrease towards overestimation with increasing age and decreasing cognition and should thus be a focus of safety research.
自我评估的有效性预测道路驾驶表现超越年龄和性别的影响,在老年司机有和没有轻度认知损伤
年龄的增长通常被认为是驾驶技能下降的一个关键因素。此外,有一些证据表明,高估与年龄较大的驾驶员的年龄和较差的道路表现有关。然而,目前尚不清楚高估或低估的程度如何影响年龄以外的道路驾驶性能。方法112名有或无轻度认知障碍的老年驾驶员参加了这项前瞻性道路研究。所有参与者都进行了标准化的道路驾驶评估、神经心理测试、驾驶相关数据收集和不同的自我评估。统计分析采用层次回归分析,第一步通过增加年龄和性别来预测道路驾驶表现,第二步通过自我评估效度(VSA)来预测道路驾驶表现。相关分析侧重于VSA与认知和驾驶相关行为因素之间的关联。结果年龄和性别组合对道路驾驶技能有显著预测作用(r2调整 = 0.320)。纳入VSA导致标准的解释方差显著增加(r2调整 = 0.639)。此外,高估程度与年龄越大、认知能力越低、驾驶行为越危险相关。我们的研究结果强调了VSA对道路驾驶性能的重要性,而不是年龄和性别的影响。此外,随着年龄的增长和认知能力的下降,VSA似乎朝着高估的方向下降,因此应该成为安全研究的重点。
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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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