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Correlations of the Gait Profile Score and the Movement Analysis Profile relative to clinical judgments.

机译:步态特征评分和运动分析特征与临床判断的相关性。

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摘要

The Gait Profile Score (GPS) is a single index measure that summarises the overall deviation of kinematic gait data relative to normative data. The GPS can be decomposed to provide Gait Variable Scores (GVS) of nine key component kinematic gait variables, which are presented as a Movement Analysis Profile (MAP). The purpose of this study was to investigate the validity of the GPS and MAP relative to clinician judgments. Kinematic data were selected from 60 children and inspected by 17 experienced clinicians. The degree of abnormality of the overall unilateral gait pattern and the nine kinematic variables was rated according to a 0-10 point scale. Strong, significant, positive correlations were found between the GPS and MAP component scores, and clinicians' ratings of kinematic gait deviation, with Spearman correlations ranging from 0.84 to 0.97. These high correlations provide evidence that the GPS and the MAP have criterion-related validity relative to clinician judgments. We propose that the GPS and particularly its MAP decomposition may be useful in clinical practice and education as an adjunct to the traditional presentation of complex kinematic data.
机译:步态轮廓分数(GPS)是一个单一指标,用于总结运动步态数据相对于规范数据的总体偏差。 GPS可以分解以提供九个关键成分运动步态变量的步态变量分数(GVS),以运动分析轮廓(MAP)的形式呈现。这项研究的目的是调查相对于临床医师判断的GPS和MAP的有效性。从60名儿童中选择运动学数据,并由17位经验丰富的临床医生进行检查。总体单侧步态模式和九个运动学变量的异常程度根据0-10分制进行评分。在GPS和MAP组件评分与临床医生的运动步态偏差评分之间发现强而显着的正相关,Spearman相关性介于0.84至0.97之间。这些高度相关性提供了证据,表明GPS和MAP相对于临床医师的判断具有与标准相关的有效性。我们建议,GPS,尤其是其MAP分解,可作为复杂运动学数据传统表示的辅助手段,在临床实践和教育中有用。

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