Department of Biomolecular Sciences, Section of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.
Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Int J Environ Res Public Health. 2020 Aug 29;17(17):6294. doi: 10.3390/ijerph17176294.
The study aimed to investigate the correlations among immune, haematological, endocrinological markers and fitness parameters, and assess if the physiological parameters could be a predictor of fitness values. Anthropometric, physical evaluations (countermovement jump-CMJ, 10 m sprint, VOmax, repeated sprint ability-RSA total time and index) and determination of blood (IL-6, IL-10, IL-17A and tumour necrosis factor) and salivary (testosterone and cortisol) samples parameters in 28 young male soccer players (age: 13.0 ± 0.2 years, body mass index (BMI): 19.5 ± 2.2 kg/m) were analysed. To evaluate the dependence of the variables related to athletic performance, multiple linear regression with backward stepwise elimination was considered. A significant regression equation was found in CMJ (F = 9.86, < 0.001, R adjusted = 0.679) and in the RSA index (F = 15.39, < 0.001, R adjusted = 0.774) considering only five variables, in a 10 m sprint (F = 20.25, < 0.001, R adjusted = 0.786) and in the RSA total time (F = 15.31, < 0.001, R adjusted = 0.732) considering only four variables and in VOmax (F = 32.09, < 0.001, R adjusted = 0.930) considering nine variables. Our study suggests the use of regression equations to predict the fitness values of youth soccer players by blood and saliva samples, during different phases of the season, short periods of match congestion or recovery from an injury.
本研究旨在探讨免疫、血液学、内分泌标志物与体能参数之间的相关性，并评估生理参数是否可以作为体能值的预测指标。对 28 名年轻男性足球运动员（年龄：13.0±0.2 岁，体脂指数（BMI）：19.5±2.2kg/m²）的人体测量学、体能评估（反跳式纵跳-CMJ、10m 冲刺、最大摄氧量、重复冲刺能力-RSA 总时间和指数）以及血液（IL-6、IL-10、IL-17A 和肿瘤坏死因子）和唾液（睾酮和皮质醇）样本参数进行了分析。为了评估与运动表现相关的变量的依赖性，采用逐步向后剔除的多元线性回归进行分析。仅考虑五个变量时，在 CMJ（F=9.86，<0.001，调整后的 R²=0.679）和 RSA 指数（F=15.39，<0.001，调整后的 R²=0.774）中发现了一个显著的回归方程，仅考虑四个变量时，在 10m 冲刺（F=20.25，<0.001，调整后的 R²=0.786）和 RSA 总时间（F=15.31，<0.001，调整后的 R²=0.732）中发现了一个显著的回归方程，在 VOmax（F=32.09，<0.001，调整后的 R²=0.930）中发现了九个变量的回归方程。我们的研究表明，在赛季的不同阶段、比赛密集期较短或受伤恢复期间，可以使用回归方程来预测青年足球运动员的体能值，通过血液和唾液样本进行预测。
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