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进一步证实步态偏差指数的有效性。

Further evidence of validity of the Gait Deviation Index.

机构信息

Gait Analysis Laboratory, Musgrave Park Hospital (Belfast HSC Trust), Northern Ireland, United Kingdom.

出版信息

Gait Posture. 2010 Apr;31(4):479-82. doi: 10.1016/j.gaitpost.2010.01.025. Epub 2010 Mar 11.

Abstract

In this paper, the relationship of the Gait Deviation Index (GDI) to gross motor function and its ability to distinguish between different Gross Motor Function Classification System (GMFCS) levels was determined. A representative sample of 184 ambulant children with CP in GMFCS levels I (n=57), II (n=91), III (n=22) and IV (n=14) were recruited as part of a population-based study. Representative gait cycles were selected following a 3D gait analysis and gross motor function was assessed using the Gross Motor Function Measure (GMFM). GDI scores were calculated in Matlab. Valid 3D kinematic data were obtained for 173 participants and both kinematic and GMFM data were obtained for 150 participants. A substantial relationship between mean GDI and GMFM-66 scores was demonstrated (r=0.70; p<0.001) with significant differences in mean GDI scores between GMFCS levels (p<0.001) indicating increasing levels of gait deviation in subjects less functionally able. The relationship between the GDI, GMFM and GMFCS in a representative sample of ambulators, lends further weight to the validity of the GDI scoring system. Furthermore it suggests that the subtleties of gait may not be wholly accounted for by gross motor function evaluation alone. Gait specific tools such as the GDI more likely capture both the functional and aesthetic components of walking.

摘要

本研究旨在探讨步态偏离指数(GDI)与粗大运动功能的关系,以及其区分不同粗大运动功能分类系统(GMFCS)水平的能力。该研究纳入了一个基于人群的研究中的 184 名 GMFCS 水平为 I(n=57)、II(n=91)、III(n=22)和 IV(n=14)的可步行脑瘫儿童的代表性样本。在 3D 步态分析后选择有代表性的步态周期,并使用粗大运动功能测量量表(GMFM)评估粗大运动功能。GDI 评分在 Matlab 中计算。173 名参与者获得了有效的 3D 运动学数据,150 名参与者获得了运动学和 GMFM 数据。平均 GDI 与 GMFM-66 评分之间存在显著的相关性(r=0.70;p<0.001),GMFCS 水平之间的平均 GDI 评分存在显著差异(p<0.001),表明运动功能较差的受试者步态偏离程度更高。在可步行的代表性样本中,GDI、GMFM 和 GMFCS 之间的关系进一步证明了 GDI 评分系统的有效性。此外,这表明步态的细微差别可能不仅仅是由粗大运动功能评估来解释的。像 GDI 这样的专门用于步态的工具更有可能同时捕捉到行走的功能和美学成分。

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