Department of Geriatrics and Clinic for Geriatric Rehabilitation, Robert-Bosch-Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany.
Aging Clin Exp Res. 2019 Dec;31(12):1843-1846. doi: 10.1007/s40520-019-01332-1. Epub 2019 Sep 5.
The aim of this study was to develop a simple visualized approach to classify persons into meaningful gait speed categories. Footprints of 310 instrumented gait analyses of 190 geriatric persons (mean age 79.1 years, 74 women) were used in a retrospective analysis to classify persons´ footprints into a left/right step overlapping, an intermediate or a long stepping pattern. The association between gait speed and step length was r = 0.91. More than 75% of the measurements classified as overlapping stepping pattern had a gait speed of below 0.5 m/s. All participants of the long stepping pattern group had a gait speed of faster than 1 m/s. The positive predictive values for classifying gait speed correctly were 71-100%. The proposed screening tool can be used in outpatient settings or home visits and is likely to be applicable if instrumented gait speed assessment is not available.
本研究旨在开发一种简单的可视化方法，以便将人的步态速度分为有意义的类别。在回顾性分析中，使用了 310 次步态分析仪器的 190 名老年患者（平均年龄 79.1 岁，74 名女性）的足迹，将患者的足迹分为左右步重叠、中间步或长步模式。步态速度与步长之间的相关性为 r=0.91。超过 75%的被分类为重叠步态模式的测量值的步态速度低于 0.5m/s。长步模式组的所有参与者的步态速度都快于 1m/s。正确分类步态速度的阳性预测值为 71-100%。该筛选工具可用于门诊或家访，如果无法进行步态速度评估，它可能具有适用性。
