Kuhlman Nicholas M, Jones Margaret T, Jagim Andrew R, Feit Mary Kate, Aziz Richard, Crabill Thomas, Fields Jennifer B
Exercise Science and Athletic Training, Springfield College, Springfield, MA.
Patriot Performance Laboratory, Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA.
Biol Sport. 2023 Oct;40(4):1141-1150. doi: 10.5114/biolsport.2023.125587. Epub 2023 Apr 6.
The purpose was to examine relationships between external loads (ELs), perceived exertion, and soreness. Collegiate men soccer players (n = 19) were monitored for 72 sessions (training: n = 53; matches: n = 19). Likert scale assessments (0-6) of lower body soreness were collected prior to each session, and ELs were collected using positional monitoring technology. Session rate of perceived exertion (sRPE-load) was calculated by multiplying perceived exertion values (Borg CR-10 Scale) by respective session duration to determine internal load. Multiple analyses of variance were used to determine differences in ELs across seasons (pre-season, in-season, post-season) and sessions (training, match). Bivariate Pearson correlation coefficients and linear regression analyses were used to evaluate relationships among soreness, ELs, and sRPE-load. Greatest ELs were observed during pre-season and post-season phases (p < 0.001). Sessions with high perceived exertion and low soreness were associated with higher ELs (p < 0.05). Duration (t = 16.13), total distance (t = 9.17), sprint distance (t = 7.54), player load (t = 4.22), top speed (t = 4.69), and acceleration (t = 2.02) positively predicted sRPE-load (F = 412.9, p < 0.001, R = 0.75). Soreness was weakly and trivially correlated with ELs (p < 0.05). The very strong relationship between ELs and sRPE-load highlights the utility of sRPE-load as a practical means to estimate workload; however, more research into the relationship between soreness and workload is warranted.
目的是研究外部负荷（ELs）、自觉用力程度和肌肉酸痛之间的关系。对19名大学男子足球运动员进行了72节训练课的监测（训练：53节；比赛：19节）。在每节训练课之前收集下肢肌肉酸痛的李克特量表评估（0 - 6分），并使用位置监测技术收集ELs。通过将自觉用力程度值（Borg CR - 10量表）乘以相应的训练课持续时间来计算训练课的自觉用力程度率（sRPE -负荷），以确定内部负荷。使用多因素方差分析来确定不同赛季（季前赛、赛季中、季后赛）和训练课（训练、比赛）之间ELs的差异。使用双变量Pearson相关系数和线性回归分析来评估肌肉酸痛、ELs和sRPE -负荷之间的关系。在季前赛和季后赛阶段观察到最大的ELs（p < 0.001）。自觉用力程度高且肌肉酸痛低的训练课与较高的ELs相关（p < 0.05）。持续时间（t = 16.13）、总距离（t = 9.17）、冲刺距离（t = 7.54）、运动员负荷（t = 4.22）、最高速度（t = 4.69）和加速度（t = 2.02）正向预测sRPE -负荷（F = 412.9，p < 0.001，R = 0.75）。肌肉酸痛与ELs呈弱且微小的相关性（p < 0.05）。ELs和sRPE -负荷之间非常强的关系突出了sRPE -负荷作为估计工作量的实用手段的效用；然而，有必要对肌肉酸痛和工作量之间的关系进行更多研究。
