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Predictors of walking speed and stride length in high- and low-heeled footwear

机译:高跟和低跟鞋的步行速度和步幅的预测指标

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摘要

Background: Footwear has a profound effect on walking speed, and lower extremity kinematics and kinetics. The purpose of this study is to identify possible predictors of walking speed and stride length in high- and low- heeled footwear. Methods: Thirty-one female subjects, each of whom were screened for lower extremity pain or dysfunction, and were determined not to be regular users of high-heeled shoes, participated in this study. Standardised, appropriately sized low- and high- heeled footwear were provided for all subjects. Euler angles were used to calculate the motion of the distal segment relative to the proximal segment. An inverse dynamics approach was used to calculate the net joint moment and power at the ankle, knee and hip joint. A paired t-test was used to assess the effect of footwear, and stepwise linear regression was performed to identify possible kinematic and kinetic predictors of walking speed and stride length. Results: Use of high-heeled footwear resulted in slower walking speed and shorter stride length. Regression analyses indicated that the most significant predictors of self-selected walking speed in high-heeled footwear were sagittal power generation at the knee, hip flexion, and sagittal power absorption at the ankle. Determinants of stride length when walking in high-heeled footwear included ankle sagittal power generation, hip sagittal range and the hip extension moment. Conclusion: A relatively simple model (three predictors or less) was able to explain 30-60% of the variance in walking speed and stride length. The key findings of our study underscore that altering heel height results in a change in motor strategy and attendant joint contribution used to maintain walking speed and stride length.
机译:背景:鞋类对步行速度,下肢运动学和动力学有深远影响。本研究的目的是确定高跟鞋和低跟鞋中步行速度和步幅的可能预测指标。方法:31名女性受试者参加了本研究,每名受试者均接受了下肢疼痛或功能障碍的筛查,并确定他们不是高跟鞋的常规使用者。为所有受试者提供了标准的,适当尺寸的低跟和高跟鞋。欧拉角用于计算远端部分相对于近端部分的运动。使用逆动力学方法来计算脚踝,膝盖和髋关节的净关节力矩和力量。配对t检验用于评估鞋类的效果,并进行逐步线性回归来确定步行速度和步幅的运动学和动力学预测指标。结果:使用高跟鞋会导致步行速度降低和步幅缩短。回归分析表明,高跟鞋自我选择的步行速度最重要的预测因素是膝盖的矢状位发电,髋关节屈曲和踝部的矢状位吸收。穿着高跟鞋时步幅的决定因素包括脚踝矢状位产生,髋关节矢状范围和髋关节伸展力矩。结论:一个相对简单的模型(三个或三个以下预测因子)能够解释步行速度和步幅变化的30-60%。我们研究的关键发现强调,改变脚跟高度会导致运动策略和随之而来的关节贡献发生变化,从而保持步行速度和步幅。

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