Sport and Exercise Discipline Group, UTS, Health, University of Technology, Sydney, Australia.
Int J Sports Physiol Perform. 2013 Jan;8(1):62-9. doi: 10.1123/ijspp.8.1.62.
The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league.
Thirty-two professional rugby league players participated in this study. Training-load (TL) data were collected during an entire season and assessed via microtechnology (heart-rate [HR] monitors, global positioning systems [GPS], and accelerometers) and sRPE. Within-individual correlation analysis was used to determine relationships between sRPE and various other measures of training intensity and load. Stepwise multiple regressions were used to determine a predictive equation to estimate sRPE during rugby league training.
There were significant within-individual correlations between sRPE and various other internal and external measures of intensity and load. The stepwise multiple-regression analysis also revealed that 62.4% of the adjusted variance in sRPE-TL could be explained by TL measures of distance, impacts, body load, and training impulse (y = 37.21 + 0.93 distance - 0.39 impacts + 0.18 body load + 0.03 training impulse). Furthermore, 35.2% of the adjusted variance in sRPE could be explained by exercise-intensity measures of percentage of peak HR (%HRpeak), impacts/min, m/min, and body load/min (y = -0.01 + 0.37%HRpeak + 0.10 impacts/min + 0.17 m/min + 0.09 body load/min).
A combination of internal and external TL factors predicts sRPE in rugby league training better than any individual measures alone. These findings provide new evidence to support the use of sRPE as a global measure of exercise intensity in rugby league training.
本研究旨在检验训练中感觉疲劳度评分(sRPE)监测训练强度的有效性。
32 名职业橄榄球运动员参与了这项研究。在整个赛季中,通过微技术(心率监测器、全球定位系统和加速度计)和 sRPE 收集训练负荷(TL)数据。使用个体内相关分析确定 sRPE 与其他各种训练强度和负荷指标之间的关系。逐步多元回归用于确定预测方程,以估计橄榄球训练中的 sRPE。
sRPE 与其他各种内部和外部强度和负荷指标之间存在显著的个体内相关性。逐步多元回归分析还表明,sRPE-TL 的调整方差的 62.4%可以通过距离、冲击、身体负荷和训练脉冲的 TL 指标来解释(y = 37.21 + 0.93 距离-0.39 冲击+0.18 身体负荷+0.03 训练脉冲)。此外,sRPE 的调整方差的 35.2%可以通过运动强度指标的峰值 HR 的百分比(%HRpeak)、冲击/分钟、米/分钟和身体负荷/分钟来解释(y = -0.01 + 0.37%HRpeak + 0.10 冲击/分钟+0.17 米/分钟+0.09 身体负荷/分钟)。
内部和外部 TL 因素的组合比任何单一指标都能更好地预测橄榄球训练中的 sRPE。这些发现为在橄榄球训练中使用 sRPE 作为运动强度的整体测量提供了新的证据。