Suppr超能文献

认知和视觉能力在驾驶安全多因素模型中的预测作用。

The role of cognitive and visual abilities as predictors in the Multifactorial Model of Driving Safety.

机构信息

Centre for Mental Health Research, Australian National University, Australia.

出版信息

Accid Anal Prev. 2012 Mar;45:766-74. doi: 10.1016/j.aap.2011.10.006. Epub 2011 Nov 30.

Abstract

OBJECTIVE

The current study evaluated part of the Multifactorial Model of Driving Safety to elucidate the relative importance of cognitive function and a limited range of standard measures of visual function in relation to the Capacity to Drive Safely. Capacity to Drive Safely was operationalized using three validated screening measures for older drivers. These included an adaptation of the well validated Useful Field of View (UFOV) and two newer measures, namely a Hazard Perception Test (HPT), and a Hazard Change Detection Task (HCDT).

METHOD

Community dwelling drivers (n=297) aged 65-96 were assessed using a battery of measures of cognitive and visual function.

RESULTS

Factor analysis of these predictor variables yielded factors including Executive/Speed, Vision (measured by visual acuity and contrast sensitivity), Spatial, Visual Closure, and Working Memory. Cognitive and Vision factors explained 83-95% of age-related variance in the Capacity to Drive Safely. Spatial and Working Memory were associated with UFOV, HPT and HCDT, Executive/Speed was associated with UFOV and HCDT and Vision was associated with HPT.

CONCLUSION

The Capacity to Drive Safely declines with chronological age, and this decline is associated with age-related declines in several higher order cognitive abilities involving manipulation and storage of visuospatial information under speeded conditions. There are also age-independent effects of cognitive function and vision that determine driving safety.

摘要

目的

本研究评估了驾驶安全多因素模型的一部分,以阐明认知功能和有限范围的标准视觉功能测量与安全驾驶能力的相对重要性。安全驾驶能力通过三种经过验证的老年驾驶员筛选测试来实现。其中包括对经过充分验证的有用视野(UFOV)的改编,以及两种较新的测试,即危险感知测试(HPT)和危险变化检测任务(HCDT)。

方法

对 297 名年龄在 65-96 岁之间的社区居住驾驶员进行了一系列认知和视觉功能测试。

结果

对这些预测变量的因子分析产生了包括执行/速度、视觉(通过视力和对比敏感度测量)、空间、视觉闭合和工作记忆在内的因素。认知和视觉因素解释了 83-95%的与年龄相关的安全驾驶能力的变化。空间和工作记忆与 UFOV、HPT 和 HCDT 相关,执行/速度与 UFOV 和 HCDT 相关,而视觉与 HPT 相关。

结论

安全驾驶能力会随年龄增长而下降,这种下降与涉及在快速条件下操纵和存储视空间信息的几种高级认知能力的年龄相关下降有关。认知功能和视觉还有独立于年龄的影响,决定了驾驶安全。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验