Valoración del rendimiento deportivo, actividad física y salud y lesiones deportivas (REDAFLED), Department of Didactics of Musical, Plastic and Corporal Expression, Faculty of Education, University of Valladolid, 42004, Soria, Spain.
Research Centre in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, University of Trás-os-Montes e Alto Douro, 5001-801, Vila Real, Portugal.
Psychol Sport Exerc. 2023 Jul;67:102429. doi: 10.1016/j.psychsport.2023.102429. Epub 2023 Mar 21.
The aim of this study was to explore how situational variables affect youth soccer players' perceived exertion (RPE) after official matches. Thirty-five elite youth male players (14.33 ± 0.86 years; 173.49 ± 6.16 cm; 63.44 ± 5.98 kg) who belonged to two different teams of a professional club participated in this study. Data collection was conducted during two seasons (2016-2017, 2017-2018) and included 60 official matches (30 official matches per team). Ten minutes after each match players rated their RPE and using a modified Borg CR-10 scale. A Random Forest Regression was used to quantify the importance of match-related situational variables in RPE. Afterwards, a linear mixed model analysis was applied to identify the variability in RPE among the situational variables. The game-playing time, the player status (starter or substitute) and the player identity were the strongest predictors of RPE. Moreover, the match outcome and the final scoreline showed significant effects on both starter and substitute players but the main effect of the quality of the opponent was only identified in starter players (p < 0.05). These results allow practitioners to know how situational variables interact and modulate RPE after official matches and help them to prescribe and adapt the players' training content and load before and after matches.
本研究旨在探讨情境变量如何影响青年足球运动员在正式比赛后的感知用力(RPE)。35 名来自于一家职业俱乐部的两支不同队伍的精英青年男性足球运动员(14.33±0.86 岁;173.49±6.16cm;63.44±5.98kg)参与了这项研究。数据收集在两个赛季(2016-2017 年,2017-2018 年)进行,共包括 60 场正式比赛(每队 30 场正式比赛)。比赛结束后 10 分钟,球员使用改良版 Borg CR-10 量表对 RPE 进行评分。随机森林回归用于量化与比赛相关的情境变量对 RPE 的重要性。然后,应用线性混合模型分析来确定 RPE 在情境变量中的变异性。比赛时间、球员身份(首发或替补)和球员身份是 RPE 的最强预测因素。此外,比赛结果和最终比分对首发和替补球员都有显著影响,但对手质量的主要影响仅在首发球员中发现(p<0.05)。这些结果使从业者能够了解情境变量如何在正式比赛后相互作用和调节 RPE,并帮助他们在比赛前后为球员制定和调整训练内容和负荷。