Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, 4900-347 Viana do Castelo, Portugal.
Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal.
Int J Environ Res Public Health. 2022 Mar 2;19(5):2935. doi: 10.3390/ijerph19052935.
The aim of this study was two-fold: (i) analyze the weekly variations of well-being and training/match intensity measures in youth soccer players, and (ii) test relations between well-being and training intensity outcomes. The study followed a descriptive case study design. Twenty-seven under-17 male soccer players were monitored for well-being and training intensity parameters over seventeen consecutive weeks. An adjusted version of the Hooper questionnaire was used to monitor the perceptive sleep quality, readiness, fatigue, and delayed onset muscle soreness (DOMS) early in the morning. The CR-10 Borg’s scale was also used for monitoring the rate of perceived exertion (RPE) of players after training sessions. Repeated-measures analysis of variance was executed to test the between-week variations of both well-being and training intensity outcomes. Moreover, Pearson product moment correlation was used to test the relations between well-being and training intensity outcomes. Repeated measures ANOVA revealed significant differences between weeks in the sleep quality (F = 0.422; p < 0.001; ηp2 = 0.140), readiness (F = 0.8.734; p < 0.001; ηp2 = 0.251), fatigue (F = 4.484; p < 0.001; ηp2 = 0.147), DOMS (F = 3.775; p = 0.001; ηp2 = 0.127), RPE (F = 7.301; p < 0.001; ηp2 = 0.219), and session-RPE (F = 17.708; p < 0.001; ηp2 = 0.405). Correlations between well-being and training intensity outcomes in the same week revealed moderate correlations between fatigue and session-RPE (r = 0.325). As conclusions, it was found that well-being and training intensity fluctuates over the season, while well-being outcomes seems to be related with training intensity, although with a small magnitude.
(i) 分析青少年足球运动员的幸福感和训练/比赛强度指标的周变化,(ii) 测试幸福感和训练强度结果之间的关系。该研究采用描述性案例研究设计。27 名 17 岁以下的男性足球运动员在连续十七周内监测了幸福感和训练强度参数。使用经过调整的 Hooper 问卷监测清晨的感知睡眠质量、准备状态、疲劳和迟发性肌肉酸痛 (DOMS)。CR-10 Borg 量表也用于监测训练后球员的感觉用力程度 (RPE)。使用重复测量方差分析检验幸福感和训练强度结果的周间变化。此外,使用 Pearson 积矩相关检验幸福感和训练强度结果之间的关系。重复测量方差分析显示,睡眠质量 (F = 0.422;p < 0.001; ηp2 = 0.140)、准备状态 (F = 0.8.734;p < 0.001; ηp2 = 0.251)、疲劳 (F = 4.484;p < 0.001; ηp2 = 0.147)、DOMS (F = 3.775;p = 0.001; ηp2 = 0.127)、RPE (F = 7.301;p < 0.001; ηp2 = 0.219) 和训练后 RPE (F = 17.708;p < 0.001; ηp2 = 0.405) 之间存在显著差异。同一周内幸福感和训练强度结果之间的相关性显示,疲劳与训练后 RPE 之间存在中度相关性 (r = 0.325)。结论是,幸福感和训练强度在整个赛季中波动,而幸福感结果似乎与训练强度相关,尽管相关程度较小。