Polo Tecnologico, IRCCS S. Maria Nascente, Fondazione Don C. Gnocchi, Italy.
Gait Posture. 2011 Jan;33(1):6-13. doi: 10.1016/j.gaitpost.2010.08.009. Epub 2010 Nov 30.
Standard clinical gait analysis protocols usually limit to test self-selected speed gait: this approach is generally valid and permits time and cost saving. Yet, the literature evidences suggest that some pathologies (especially at onset or subclinical level) may not primarily affect plain gait, but more demanding locomotor tasks. In the present study we therefore propose a multiple-task gait analysis protocol including: self-selected, increased and decreased speed gait; walking on toes; walking on heels; step ascending and step descending, and apply it to 40 healthy subjects (20 aged 6-17, 20 aged 22-72) thus building extensive reference data set. Published studies already report normative data for some of these tasks, but inhomogeneously (due to different collecting methods and biomechanical models, population characteristics, nature of data). We verify a good correlation between our results and those presented by Schwartz et al. (2008) [12] in their study providing extensive data on the effect of walking speed on the gait of healthy children. In discussing the results, the rationale and effectiveness of each task is confirmed, and we supply an electronic addendum with comprehensive kinematic, kinetic and electromyographic normative data for the considered population, along with a set of reference parameters and related statistical analysis, as a premise for further applications on pathological subjects.
这种方法通常是有效的，可以节省时间和成本。然而，文献证据表明，一些疾病（特别是在发病或亚临床阶段）可能不会首先影响普通步态，而是更具挑战性的运动任务。因此，在本研究中，我们提出了一种多任务步态分析方案，包括：自选择、增加和减少速度步态；足尖行走；脚跟行走；上台阶和下台阶，并将其应用于 40 名健康受试者（6-17 岁 20 名，22-72 岁 20 名），从而构建了广泛的参考数据集。已发表的研究已经报告了这些任务中的一些任务的规范数据，但存在不一致性（由于不同的收集方法和生物力学模型、人群特征、数据性质）。我们验证了我们的结果与 Schwartz 等人（2008 年）[12]的研究结果之间的良好相关性，该研究提供了广泛的数据，说明了行走速度对健康儿童步态的影响。在讨论结果时，确认了每个任务的原理和有效性，并提供了一个综合运动学、动力学和肌电图规范数据的电子附录，以及一套参考参数和相关统计分析，作为进一步应用于病理受试者的前提。
