Cartón-Llorente Antonio, Roche-Seruendo Luis E, Mainer-Pardos Elena, Nobari Hadi, Rubio-Peirotén Alberto, Jaén-Carrillo Diego, García-Pinillos Felipe
Health Sciences Faculty, Universidad San Jorge, Autovia A23 km 299, 50830, Villanueva de Gállego, Saragossa, Spain.
Faculty of Sport Sciences, University of Extremadura, 10003, Cáceres, Spain.
BMC Sports Sci Med Rehabil. 2022 Jul 24;14(1):142. doi: 10.1186/s13102-022-00538-7.
The advent of power meters for running has raised the interest of athletes and coaches in new ways of assessing changes in running performance. The aim of this study is to determine the changes in power-related variables during and after a strenuous endurance running time trial.
Twenty-one healthy male endurance runners, with a personal record of 37.2 ± 1.2 min in a 10-km race, completed a 1-h run on a motorized treadmill trying to cover as much distance as they could. Before and after the time trial the athletes were asked to perform a 3-min run at 12 km h. Normalized mean power output, step frequency, form power and running effectiveness were calculated using the Stryd™ power meter. Heart rate (HR) and rating of perceived exertion (RPE) were monitored, and data averaged every 5 min.
Despite high levels of exhaustion were reached during the time trial (HRpeak = 176.5 ± 9.8 bpm; RPE = 19.2 ± 0.8), the repeated measures ANOVA resulted in no significant differences (p ≥ 0.05), between each pair of periods for any of the power-related variables. The pairwise comparison (T test) between the non-fatigued and fatigued constant 3-min runs showed an increase in step frequency (p = 0.012) and a decrease in form power (p < 0.001) under fatigue conditions, with no meaningful changes in normalized mean power output and running effectiveness.
Trained athletes are able to maintain power output and running effectiveness during a high demanding extended run. However, they preferred to reduce the intensity of vertical impacts under fatigue conditions by increasing their step frequency.
跑步功率计的出现引发了运动员和教练对评估跑步成绩变化新方法的兴趣。本研究的目的是确定在高强度耐力跑计时赛期间及之后与功率相关变量的变化。
21名健康的男性耐力跑运动员，10公里比赛个人最好成绩为37.2±1.2分钟，在电动跑步机上完成1小时跑步，尽力跑尽可能远的距离。计时赛前后，要求运动员以12公里/小时的速度进行3分钟跑步。使用Stryd™功率计计算标准化平均功率输出、步频、形态功率和跑步效率。监测心率（HR）和主观用力程度分级（RPE），并每5分钟取一次数据平均值。
尽管在计时赛期间达到了高度疲劳（HRpeak = 176.5±9.8次/分钟；RPE = 19.2±0.8），但重复测量方差分析结果显示，对于任何与功率相关的变量，各时间段之间均无显著差异（p≥0.05）。非疲劳和疲劳状态下3分钟恒定跑步的成对比较（T检验）显示，在疲劳状态下，步频增加（p = 0.012），形态功率降低（p < 0.001），标准化平均功率输出和跑步效率无显著变化。
训练有素的运动员在高要求的长时间跑步中能够保持功率输出和跑步效率。然而，他们在疲劳状态下倾向于通过增加步频来降低垂直冲击的强度。
