Astephen Wilson Janie L
School of Biomedical Engineering, Dalhousie University, Halifax, Nova Scotia, Canada.
Clin Biomech (Bristol). 2012 Mar;27(3):210-2. doi: 10.1016/j.clinbiomech.2011.09.009. Epub 2011 Oct 22.
The knee osteoarthritis biomechanics literature is varied in how researchers deal with the potentially confounding effects of differences in walking speed between individuals with osteoarthritis and healthy controls, and between increasing levels of knee osteoarthritis severity. While many studies choose to have participants walk at a self-selected pace in an attempt to observe and capture natural joint mechanics, some have chosen to have individuals walk at various speeds and analyze trials at pre-determined speeds. Others have chosen to statistically control for the confounding effects of speed by using an analysis of covariance model. This has made it difficult to assimilate findings of various studies into a consensus of biomechanical changes potentially associated with disease initiation and progression. And it begs the question of which method(s) are correct.
A discussion around this point is overdue and this report is an attempt to begin this discussion using some examples from the knee osteoarthritis literature.
Key conclusions of this report include the inappropriateness of using an analysis of covariance to statistically control for speed in studies of knee osteoarthritis, and the need to use caution when interpreting the results of studies that control for speed in different ways.
在膝骨关节炎生物力学文献中,研究人员处理骨关节炎患者与健康对照者之间以及膝骨关节炎严重程度不同水平之间步行速度差异的潜在混杂效应的方式各不相同。虽然许多研究选择让参与者以自我选择的速度行走,试图观察和捕捉自然的关节力学,但有些研究选择让个体以不同速度行走,并在预定速度下分析试验。还有一些研究选择通过使用协方差分析模型来统计控制速度的混杂效应。这使得难以将各种研究的结果整合为与疾病发生和进展潜在相关的生物力学变化的共识。这就引出了哪种方法是正确的问题。
围绕这一点的讨论早就该进行了,本报告试图通过引用膝骨关节炎文献中的一些例子来开启这一讨论。
本报告的主要结论包括,在膝骨关节炎研究中使用协方差分析来统计控制速度是不合适的,并且在解释以不同方式控制速度的研究结果时需要谨慎。