主观疲劳量表（RPE）评估足球运动员训练负荷的实证研究

应用主观疲劳量表（RPE）评价训练负荷的过程是一个心理生理过程，量化结果具有较大的主观性和不确定性，需将RPE训练负荷量化结果与生理指标测试结果进行结合分析。对16名大学生足球运动员的多次训练进行跟踪，采集每名运动员每次训练的训练前RPE值、训练后RPE值和整个训练过程的实时心率；采取训练后RPE值（Foster1算法）和训练累积RPE值（Foster2算法），4种心率算法（Banister1、Banister2、Edwards和Stagno）对每名运动员每次训练的内部负荷进行测算；采用相关分析，对两种RPE算法所得每名运动员每次训练的内部训练负荷值与4种心率算法所得的内部训练负荷值的相关性进行检验。显示：两种RPE算法估算的运动负荷：与Banister1算法测算出的相关性平均分别为0.91和0.79；与Banister2算法测算出的相关性平均分别为0.62和0.57；与Edwards算法测算出的相关性平均分别为0.75和0.69；与Stagno算法测算出的相关性平均分别为0.55和0.54。显示：RPE能够有效地量化评估足球运动员的训练负荷，且“训练后RPE值”比“训练累积RPE值”能更加准确地反映足球运动员的训练负荷。

An Empirical Study on the Assessment of Football Players' Training Load by Ratings of Perceived Exertion

Rating of Perceived Exertion (RPE) needs to be accompanied with more objective physiological indictors. The study tracked multiple training sessions of 16 collegiate football players, collected the pre-RPE, post-RPE and heart rate of players, and calculated the training load of each player using the RPE-based methods of Foster1 and Foster2, as well as the heart-rate-based methods of Banister1, Banister2, Edwards and Stagno. A Pearson Correlation analysis was carried out to test the relationships between the training load of every player in each session estimated from the two RPE-based methods and the four heart-rate-based methods. Results showed that training load of players estimated from the two RPE-based methods (Foster1 and Foster2) has a mean correlation of: 0.91 and 0.79 with the training load estimated from Banister1 method, of 0.62 and 0.57 with the training load estimated from Banister2 method, of 0.75 and 0.69 with the training load estimated from Edwards method, of 0.55 and 0.54 with the training load estimated Stagno method. Conclusion: that RPE can effectively estimate the training load of soccer players, while post-RPE is more accurate than accumulated RPE in measuring soccer players'' training load.