在地面上,大众参与的五公里跑步期间,运行步态复杂性
Ben Jones1,2, Ben Heller1, Linda van Gelder1
1Sport and Physical Activity Research Centre, Sheffield Hallam University, Olympic Legacy Park, 2 Old Hall Rd, Sheffield S9 3TY, UK.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
运行步行的复杂性,通过阻断波动分析 (DFA) 测量,在下坡地形下降,但不受运动持续时间的影响. 解释步态变化,考虑到健康见解的路径升高.
科学领域:
- 生物力学 生物力学
- 人类的机动运动
- 生理适应生理适应
背景情况:
- 人类的运动表现出固有的变性,提供潜在的健康见解.
- 确定波动分析 (DFA) 量化了步态变化,但在地面跑步中研究较少.
- 在不受控制的环境中了解步行复杂性对于准确的健康评估至关重要.
研究的目的:
- 为了研究在不受控制的地面跑步过程中,跑步步的复杂性发生的变化.
- 评估不同坡度 (上坡/下坡) 和运动持续时间对步态变化的影响.
- 将DFA应用于来自大众参与活动的步伐时间数据.
主要方法:
- 68名参与者的步伐时间在5公里的公园跑中使用惯性测量单元记录下来.
- 数据被分析到四个间隔,代表两个圈的上坡和下坡段.
- 重复测量ANOVA在各种条件中比较了步伐时间大小 (SD) 和结构 (DFA-α).
主要成果:
- 步伐时间在整个运行过程中保持一致.
- 与上坡跑步相比,在下坡跑步时,步态复杂度 (DFA-α) 显著下降,而上坡跑步 (d = 0.39 ) 显著下降.
- 步伐时间变化 (SD) 在跑步的初始部分较高,但DFA-α不受运动持续时间的影响.
结论:
- 跑步梯度显著影响步伐的复杂性,而下坡跑步显示复杂性降低.
- 过时的运动持续时间没有改变步态复杂性结构 (DFA-α).
- 解释步态复杂性需要考虑跑道的高度概况,以避免误解与健康相关的变化.
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