Leblanc Michele, Ferkranus Heidi
Exercise Science Department, California Lutheran University, Thousand Oaks, CA, USA.
Int J Exerc Sci. 2018 Jun 1;11(1):717-729. doi: 10.70252/AJOU8254. eCollection 2018.
Barefoot running is considered to decrease injury risk, but is not always practical, particularly while running on a fitness center treadmill. The purpose of this study was to compare the kinematics of shod, barefoot, and simulated barefoot running. Twelve subjects (age = 21.1 ± 1.2 years) who regularly run on a treadmill for fitness participated in the study. After a warm up, each runner ran on a Biodex RTM 400 treadmill set at 7.4 mph (approximately 3.3 m/s) in their own shoes, barefoot, and while running "like they were barefoot" in their own shoes. Sixteen reflective markers were affixed to each subject to use PlugInGait (Vicon) to determine three-dimensional body landmark coordinates and to compute lower extremity joint angles. Values at touchdown and during stance were averaged over ten strides for analysis. Repeated measures ANOVA was implemented to determine differences based on running condition (p < 0.05) and post hoc testing was performed with an adjustment for multiple comparisons (p<0.05/3). At touchdown, ankle angle values significantly differed based on condition (6.2 ± 5.9° vs. -4.0 ± 12.0° vs, -0.2 ± 13.3°; p = 0.004 for shod, barefoot and simulated barefoot running, respectively) indicating that when simulating barefoot running the subjects altered their foot strike pattern. Stride frequency differed between shod and barefoot running (1.415±0.068 Hz vs. 1.457±0.065 Hz; p = 0.001) but the simulated barefoot condition did not differ from the shod condition. The runners were able to simulate an important element of barefoot running, but they did not completely mimic their barefoot running pattern.
赤脚跑步被认为可以降低受伤风险，但并不总是可行的，尤其是在健身中心的跑步机上跑步时。本研究的目的是比较穿鞋跑步、赤脚跑步和模拟赤脚跑步的运动学。12名（年龄 = 21.1 ± 1.2岁）经常在跑步机上跑步健身的受试者参与了该研究。热身之后，每位跑步者分别穿着自己的鞋子、赤脚以及穿着自己的鞋子“像赤脚一样”在Biodex RTM 400跑步机上以7.4英里/小时（约3.3米/秒）的速度跑步。在每个受试者身上粘贴16个反光标记，以使用PlugInGait（Vicon）来确定三维身体标志点坐标并计算下肢关节角度。着地时和站立期间的值在十个步幅上进行平均以进行分析。采用重复测量方差分析来确定基于跑步条件的差异（p < 0.05），并进行事后检验以调整多重比较（p<0.05/3）。着地时，踝关节角度值因条件不同而有显著差异（分别为6.2 ± 5.9°、-4.0 ± 12.0°、-0.2 ± 13.3°；穿鞋、赤脚和模拟赤脚跑步的p = 0.004），这表明在模拟赤脚跑步时受试者改变了他们的着地方式。穿鞋跑步和赤脚跑步之间的步频不同（1.415±0.068赫兹对1.457±0.065赫兹；p = 0.001），但模拟赤脚条件与穿鞋条件没有差异。跑步者能够模拟赤脚跑步的一个重要因素，但他们并没有完全模仿赤脚跑步模式。
