Adaptations in trunk-pelvis coordination variability in response to fatiguing exercise.

Adaptations in trunk-pelvis coordination variability in response to fatiguing exercise.
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躯干-骨盆协调变异性对疲劳运动的适应。

DOI:
10.1016/j.gaitpost.2020.11.019
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发表时间:
2021-03
期刊:
影响因子:
2.4
通讯作者:
König Ignasiak N
König Ignasiak N
中科院分区:
医学3区
文献类型:
--
作者:
Smith JA;Eiteman-Pang WK;Soangra R;König Ignasiak N

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在行走过程中,在不同的步幅之间如何协调运动的可变性有助于适应不断变化的环境或任务约束。这种节段间协调变异性的幅度在患者群体中降低,并且也可能响应于肌肉疲劳而降低。以前,步幅到步幅的可变性已经用矢量编码(VC)方法量化,然而最近的研究引入了新的椭圆区域方法(EAM)以避免与VC相关的统计伪影。确定躯干-骨盆协调变异性在步行转弯过程中对疲劳运动的反应的变化,并比较用VC量化的协调变异性与EAM方法,15名年轻人(平均年龄:23.7(±3.2)岁)在疲劳的椎旁肌肉运动之前和之后进行了15次90度步行转弯试验。使用三维运动捕捉对躯干和骨盆节段在轴向平面中的角运动学进行量化。使用VC和EAM方法计算躯干和骨盆之间的轴向协调的步幅变化。采用配对t检验比较了VC和EAM的疲劳前后变异性幅度,并使用Pearson相关系数计算了两种方法的变异性幅度之间的关系。使用这两种分析方法,躯干-骨盆协调变异性在步幅周期和转身的站立阶段内显著降低(所有比较p< 0.034)。用VC和EAM计算的平均变异幅度高度相关。疲劳前后的时间序列交叉相关系数在0.81 ~ 0.98之间.在健康个体中,躯干-骨盆步幅到步幅协调变异性的幅度在疲劳运动后降低,但步幅周期中变异性的时间分布保持不变。这一发现是强大的方法来量化协调的变化。
During walking, variability in how movement is coordinated between body segments from stride to stride facilitates adaptation to changing environmental or task constraints. Magnitude of this inter-segmental coordination variability is reduced in patient populations and may also decrease in response to muscle fatigue. Previously, stride-to-stride variability has been quantified with the Vector Coding (VC) method, however recent research introduced a new Ellipse Area Method (EAM) to avoid statistical artifacts associated with VC. Determine changes in trunk-pelvis coordination variability during walking turns in response to fatiguing exercise and to compare coordination variability quantified with VC to the EAM method 15 young adults (mean age: 23.7 (±3.2) years) performed 15 trials of a 90-degree walking turn before and after fatiguing paraspinal muscle exercise. Angular kinematics of the trunk and pelvis segments in the axial plane were quantified using three-dimensional motion capture. Stride to stride variability of axial coordination between the trunk and pelvis pre- and post-fatigue was calculated using both VC and EAM methods. Magnitudes of pre- and post-fatigue variability for VC and EAM were compared with paired t-tests and relationship between the magnitude of variability for the two methods was calculated using Pearson correlation coefficients. Using both analytical approaches, trunk-pelvis coordination variability decreased significantly post-fatiguing exercise across the stride cycle and within the stance phase of the turn (p< 0.034 for all comparisons). Average magnitudes of variability calculated with VC and EAM were highly correlated. Time series cross correlations pre- post fatigue ranged from 0.81 to 0.98. In healthy individuals, magnitude of trunk-pelvis stride-to-stride coordination variability is reduced following fatiguing exercise but the temporal distribution of variability across the stride cycle is maintained. This finding is robust to the method used to quantify coordination variability.
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