Leat Susan J, Lovie-Kitchin Jan E
School of Optometry, University of Waterloo, Waterloo, Ontario, Canada.
Optom Vis Sci. 2008 Nov;85(11):1049-56. doi: 10.1097/OPX.0b013e31818b949d.
The aim of this study was to determine if useful field of view (UFV) measures help to predict aspects of orientation and mobility in people with visual impairment. The UFV is a composite measure of visual attention, ability to detect objects in the presence of clutter and basic visual functions such as visual field loss and contrast sensitivity.
Thirty-five participants aged 20 to 80 years with low vision due to a variety of visual disorders took part. Mobility around a partly indoor and exterior real-life mobility course was measured, together with UFV and clinical measures of contrast sensitivity (CS), visual fields, and visual acuity. Two series of models were considered; series 1 using the UFV scores as measured and series 2 using the UFV scores corrected for visual field loss (only counting errors in areas of intact visual field).
UFV was found to be an important predictor of some aspects of mobility performance. Mobility errors were best predicted by uncorrected UFV (R = 0.38), although CS was also a good predictor. Walking speed and preferred walking speed (PWS) were best predicted by uncorrected UFV and age (R = 0.575 and 0.573, respectively). The visual detection distance and visual identification distances were best predicted by clinical vision measures, such as contrast sensitivity, visual fields, and central vision function. The percent PWS was not predicted by any of the measures we used. None of these models was improved by the addition of the corrected UFV scores.
These results indicate that attention and the presence of distractors, as well as visual function and age, are important factors in orientation and mobility performance, in particular mobility errors, walking speed and PWS.
本研究旨在确定有用视野(UFV)测量是否有助于预测视力受损者的定向和移动能力。UFV是视觉注意力、在有干扰物情况下检测物体的能力以及诸如视野缺损和对比敏感度等基本视觉功能的综合测量指标。
35名年龄在20至80岁之间、因各种视觉障碍导致视力低下的参与者参与了研究。测量了他们在部分室内和室外现实生活移动路线上的移动情况,同时测量了UFV以及对比敏感度(CS)、视野和视力的临床指标。考虑了两个系列的模型;系列1使用测量得到的UFV分数,系列2使用针对视野缺损校正后的UFV分数(仅计算完整视野区域的误差)。
发现UFV是移动表现某些方面的重要预测指标。未校正的UFV对移动误差的预测效果最佳(R = 0.38),尽管CS也是一个良好的预测指标。未校正的UFV和年龄对步行速度和偏好步行速度(PWS)的预测效果最佳(分别为R = 0.575和0.573)。视觉检测距离和视觉识别距离由临床视觉指标(如对比敏感度、视野和中心视觉功能)预测效果最佳。我们使用的任何指标均未预测出PWS百分比。添加校正后的UFV分数并未改善这些模型。
这些结果表明,注意力、干扰物的存在以及视觉功能和年龄是定向和移动表现的重要因素,特别是移动误差、步行速度和PWS。