Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy; and.
Villa Stuart Sport Clinic-FIFA Medical Center of Excellence, Rome, Italy.
J Strength Cond Res. 2022 Sep 1;36(9):2566-2572. doi: 10.1519/JSC.0000000000003875. Epub 2020 Oct 30.
Montini, M and Rocchi, JE. Monitoring training load in soccer: The Relation of Ongoing Monitored Exercise in Individual model. J Strength Cond Res 36(9): 2566-2572, 2022. For a training organization, monitoring training load (TL) is of paramount importance. Despite this, a conclusive response on such topic is yet to be reported. The aims of this study were to investigate the relationship between TL indicators and to propose a new method for monitoring TL response and physical fitness. Twenty professional soccer players were retrospectively evaluated. The first phase of data analysis included 34 in-season training sessions. Subsequently, three microcycles (T1-T2-T3) of pre-season training were processed. A regression model was used to examine the relationships between internal TL (session rating of perceived exertion [s-RPE]) and external TL (energy expenditure, EE). The standard error of the regression equation was used to propose a new model called "ROMEI" (Relation of Ongoing Monitored Exercise in Individual). The level of statistical significance was set at p < 0.05. During the competitive season and the pre-season training camp, the average TL values were 65.8 ± 22 and 58.2 ± 22 minutes; 336 ± 204 and 228 ± 101 AU of s-RPE; and 29 ± 13 and 25 ± 9 kJ kJ -1 of EE, respectively. In the competitive season, the collective and average individual correlation coefficients between s-RPE and EE were r = 0.888 and r = 0.892 ± 0.05, respectively. Considering slope values ( m ) of the regression line, data highlighted a significant increase of +34.4 ± 15.9% in T2 vs. T3 ( p < 0.001) and +38.2 ± 15.2% in T1 vs. T3 ( p < 0.001). Data shown in this investigation support the use of an individualized analysis to better understand the TL administered to soccer players rather than a collective analysis. This may be accomplished with the proposed ROMEI model.
蒙蒂尼,M 和罗奇,JE。监测足球训练负荷:个体模型中持续监测运动的关系。J 力量与条件研究 36(9):2566-2572,2022。对于一个训练组织来说,监测训练负荷(TL)至关重要。尽管如此,对于这个话题还没有一个明确的答案。本研究的目的是调查 TL 指标之间的关系,并提出一种新的监测 TL 反应和身体适应能力的方法。20 名职业足球运动员被回顾性评估。数据分析的第一阶段包括 34 个赛季中的训练课程。随后,对三个微周期(T1-T2-T3)进行了分析。回归模型用于检查内部 TL(自我感觉的努力程度[ s-RPE])和外部 TL(能量消耗,EE)之间的关系。回归方程的标准误差用于提出一种新的模型,称为“ROMEI”(个体中持续监测运动的关系)。统计显著性水平设置为 p<0.05。在比赛赛季和季前训练营期间,平均 TL 值分别为 65.8±22 和 58.2±22 分钟;336±204 和 228±101 s-RPE 的 AU;29±13 和 25±9 kJ kJ -1 的 EE。在比赛赛季中,s-RPE 和 EE 之间的集体和个体平均相关系数分别为 r=0.888 和 r=0.892±0.05。考虑回归线的斜率值( m ),数据显示 T2 与 T3 相比增加了显著的+34.4±15.9%( p<0.001),T1 与 T3 相比增加了+38.2±15.2%( p<0.001)。本研究中的数据支持使用个体化分析来更好地理解对足球运动员进行的 TL,而不是使用集体分析。这可以通过提出的 ROMEI 模型来实现。