Simultaneous estimation of effects of gender, age and walking speed on kinematic gait data
Simultaneous estimation of effects of gender, age and walking speed on kinematic gait data
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DOI：
10.1016/j.gaitpost.2009.07.002
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发表时间：
2009-11-01
期刊：
影响因子：
2.4
通讯作者：
Opheim, Arve
中科院分区：
文献类型：
--
作者：
Roislien, Jo;Skare, Oivind;Opheim, Arve
在过去的几年里，正常步态的变化分析受到了相当大的关注。然而，大多数此类分析是一次对一个解释变量进行的，而对其他可能的影响因素的调整往往是使用临时方法进行的。因此，很难知道观察到的影响是否实际上是所研究变量的结果。我们希望同时在统计学上测试性别、年龄和步行速度对正常人群步态的影响，同时适当调整身高和体重的可能混杂影响。由于逐点分析不考虑数据中的时间依赖性。我们转向功能数据分析（FDA）。在FDA中，整个步态曲线不是由一组点表示，而是由跨越整个步态周期的数学函数表示。我们进行了几次多元函数回归分析，结果表明，步行速度是影响步态的主要因素在我们的运动分析实验室的参考材料。这种影响也基本上不受模型中其他变量的影响。性别效应在几个平面和关节中也很明显，但这种效应在多变量回归分析中往往比在单变量回归分析中更明显，突出了调整身高和体重等混杂因素的重要性。(C)2009爱思唯尔有限公司版权所有。
Analysis of variations in normal gait has received considerable attention over the last years. However, most such analyses are carried out on one explanatory variable at a time, and adjustments for other possibly influencing factors are often done using ad hoc methods. As a result, it can be difficult to know whether observed effects are actually a result of the variable under study. We wanted to simultaneously statistically test the effect of gender, age and walking speed on gait in a normal population, while also properly adjusting for the possibly confounding effects of body height and weight. Since point-by-point analysis does not take into account the time dependency in the data. we turned to functional data analysis (FDA). In FDA the whole gait curve is represented not by a set of points, but by a mathematical function spanning the whole gait cycle. We performed several multiple functional regression analyses, and the results indicate that walking speed is the main factor influencing gait in the reference material at our motion analysis laboratory. This effect is also largely unaffected by the presence of other variables in the model. A gender effect was also apparent in several planes and joints, but this effect was often more outspoken in the multiple than in the univariate regression analyses, highlighting the importance of adjusting for confounders like body height and weight. (C) 2009 Elsevier B.V. All rights reserved.