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The relationship between forefoot position, plantar pressures and rearfoot kinematics during the stance phase of gait.

机译:步态站立阶段前脚位置,足底压力与后脚运动学之间的关系。

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At the cornerstone of this research was the theory that structure dictates function. In foot research, the influence of the forefoot on foot and lower extremity biomechanics has not been adequately studied. The purpose of this research was to demonstrate a relationship between forefoot position and four separate dynamic variables, including, medial midfoot pressure-time integral (MMPTI), medial midfoot peak pressure (MMPP), rearfoot eversion excursion (RFEE), and average rearfoot eversion velocity (RFEV). The underlying hypothesis was that forefoot position would be able to predict each dynamic variable due to the compensatory action of the midfoot for forefoot position.; Sixty-four cases (feet) were studied (N = 64, age = 26.8 ± 8.8 yrs, ht = 162.5 ± 9.5 cm, wt = 75.7 ± 21.8 kg). Static measurements of forefoot position, rearfoot eversion and navicular drop were taken by the primary investigator (KRB). Plantar pressure measurements were taken using the EMED pressure platform system (Novel Inc, Minneapolis, MN). Three-dimensional kinematic data for the rearfoot were collected using the Vicon system (VICON, Oxford Metrics Ltd, Oxford, England). The relationship, using a Pearson (r) correlation, between forefoot position and each dynamic variable was studied. The ability of the forefoot to best predict each dynamic variable was assessed using regression analysis. Finally, the mean differences among each dynamic variable were analyzed when the forefoot was sub-categorized into three groups dependent on forefoot position.; The relationships between forefoot position and each dynamic variable were found to be related and statistically significant (FF vs MMPTI: r = .55, p = .001; FF vs MMPP: r = .59, p = .001; FF vs RFEE: r = .65, p = .001; FF vs RFEV: r = .54, p = .001). The forefoot was the best predictor for each dynamic variable except one (MMPP) where navicular drop was a better predictor. The differences between FF categories and MWTI were significant between the low and high groups and the neutral and high groups; however, there was no statistically significant difference between the low and neutral groups. This may have been an issue of power. The differences between FF categories and MMPP were statistically significantly for all categories. The differences between FF categories and RFEE and RFEV were different between the low and high groups and low and neutral groups but not the neutral and high groups.; These findings suggest that forefoot structure plays a significant role in the prediction of MMPTI, MMPP, RFEE and RFEV. Further research should continue to assess the role that the forefoot plays in foot and gait biomechanics.
机译:该研究的基石是结构决定功能的理论。在足部研究中,尚未充分研究前足对足部和下肢生物力学的影响。这项研究的目的是证明前脚位置与四个独立的动态变量之间的关系,包括中足中压时间积分(MMPTI),中足峰中压(MMPP),后足外翻偏移(RFEE)和平均后足外翻速度(RFEV)。基本假设是,由于中足对前足位置的补偿作用,前足位置将能够预测每个动态变量。研究了64例(英尺)(N = 64,年龄= 26.8±8.8岁,ht = 162.5±9.5 cm,体重= 75.7±21.8 kg)。主要研究者(KRB)进行了前脚位置,后脚外翻和鼻下垂的静态测量。使用EMED压力平台系统(明尼苏达州明尼阿波利斯的Novel Inc)进行足底压力测量。使用Vicon系统(VICON,牛津Metrics Ltd,牛津,英国)收集后脚的三维运动学数据。使用Pearson(r)相关性,研究了前脚位置与每个动态变量之间的关系。使用回归分析评估前脚最好地预测每个动态变量的能力。最后,根据前脚的位置将前脚分为三类时,分析每个动态变量之间的平均差异。前脚位置与每个动态变量之间的关系被发现是相关的并且具有统计学意义(FF vs MMPTI:r = .55,p = .001; FF vs MMPP:r = .59,p = .001; FF vs RFEE: r = .65,p = .001; FF vs RFEV:r = .54,p = .001)。前足是每个动态变量的最佳预测指标,但其中一个(MMPP)的前倾是更好的预测指标。 FF组和MWTI之间的差异在低和高组之间以及中性和高组之间有显着性;然而,低和中性组之间没有统计学上的显着差异。这可能是权力问题。在所有类别中,FF类别和MMPP之间的差异在统计学上均显着。 FF类别与RFEE和RFEV之间的差异在低和高组以及低和中立组之间有所不同,但在中性和高组之间没有差异。这些发现表明,前脚结构在MMPTI,MMPP,RFEE和RFEV的预测中起着重要作用。进一步的研究应继续评估前脚在脚和步态生物力学中的作用。

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