Devos Hannes, Ranchet Maud, Backus Deborah, Abisamra Matt, Anschutz John, Allison C Dan, Mathur Sunil, Akinwuntan Abiodun E
Department of Physical Therapy and Rehabilitation Science, School of Health Professions, University of Kansas Medical Center, Kansas City, KS; Department of Physical Therapy, College of Allied Health Sciences, Augusta University, Augusta, GA.
Department of Physical Therapy, College of Allied Health Sciences, Augusta University, Augusta, GA; French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), Laboratory of Ergonomic and Cognitive Sciences for Transports (TS2-LESCOT), Bron, France.
Arch Phys Med Rehabil. 2017 Jul;98(7):1332-1338.e2. doi: 10.1016/j.apmr.2016.10.008. Epub 2016 Nov 10.
To investigate the cognitive, visual, and motor deficits underlying poor performance on different dimensions of on-road driving in individuals with multiple sclerosis (MS).
Prospective cross-sectional study.
MS clinic and driving simulator lab.
Active drivers (N=102) with various types of MS.
Not applicable.
Off-road cognitive, visual, and motor functions, as well as 13 specific driving skills. These skills were categorized into hierarchic clusters of operational, tactical, visuo-integrative, and mixed driving. Stepwise regression analysis was used to determine the off-road functions influencing performance on the on-road test and each cluster.
Visuospatial function (P=.002), inhibition (P=.008), binocular acuity (P=.04), vertical visual field (P=.02), and stereopsis (P=.03) best determined variance in total on-road score (unadjusted R=.37). Attentional shift (P=.0004), stereopsis (P=.007), glare recovery (P=.047), and use of assistive devices (P=.03) best predicted the operational cluster (unadjusted R=.28). Visuospatial function (P=.002), inhibition (P=.002), reasoning (P=.003), binocular acuity (P=.04), and stereopsis (P=.005) best determined the tactical cluster (unadjusted R=.41). The visuo-integrative model (unadjusted R=.12) comprised binocular acuity (P=.007) and stereopsis (P=.045). Inhibition (P=.0001) and binocular acuity (P=.001) provided the best model of the mixed cluster (unadjusted R=.25).
Our results provide more insights into the specific impairments that influence different dimensions of on-road driving and may be used as a framework for targeted driving intervention programs in MS.
研究多发性硬化症(MS)患者在道路驾驶不同维度上表现不佳背后的认知、视觉和运动缺陷。
前瞻性横断面研究。
MS诊所和驾驶模拟器实验室。
患有各种类型MS的活跃驾驶员(N = 102)。
不适用。
越野认知、视觉和运动功能,以及13项特定驾驶技能。这些技能被分类为操作、战术、视觉整合和混合驾驶的层次集群。采用逐步回归分析来确定影响道路测试及每个集群表现的越野功能。
视觉空间功能(P = 0.002)、抑制能力(P = 0.008)、双眼视力(P = 0.04)、垂直视野(P = 0.02)和立体视(P = 0.03)最能确定道路总得分的方差(未调整R = 0.37)。注意力转移(P = 0.0004)、立体视(P = 0.007)、眩光恢复(P = 0.047)和辅助设备的使用(P = 0.03)最能预测操作集群(未调整R = 0.28)。视觉空间功能(P = 0.002)、抑制能力(P = 0.002)、推理能力(P = 0.003)、双眼视力(P = 0.04)和立体视(P = 0.005)最能确定战术集群(未调整R = 0.41)。视觉整合模型(未调整R = 0.12)包括双眼视力(P = 0.007)和立体视(P = 0.045)。抑制能力(P = 0.0001)和双眼视力(P = 0.001)提供了混合集群的最佳模型(未调整R = 0.25)。
我们的研究结果为影响道路驾驶不同维度的特定损伤提供了更多见解,并可作为MS针对性驾驶干预计划的框架。