Csala Dániel, Kovács Bence Márk, Bali Péter, Reha Gábor, Pánics Gergely
1 University of Physical Education, Budapest, Hungary.
2 Sports Science Department, Ferencvárosi TC, Budapest, Hungary.
Physiol Int. 2021 Sep 16;108(3):371-382. doi: 10.1556/2060.2021.30019.
The aim of the present study was to analyse the relationships between creatine kinase (CK) concentration, an indirect marker of muscle damage, and global positioning system (GPS)-derived metrics of a continuous two-week-long preseason training period in elite football.
Twenty-one elite male professional soccer players were assessed during a 14-day preseason preparatory period. CK concentrations were determined each morning, and a GPS system was used to quantify the external load. A generalized estimating equation (GEE) model was established to determine the extent to which the external load parameter explained post-training CK levels.
The GEE model found that higher numbers of decelerations (χ 2 = 7.83, P = 0.005) were most strongly associated with the post-training CK level. Decelerations and accelerations accounted for 62% and 11% of the post-training CK level, respectively, and considerable interindividual variability existed in the data.
The use of GPS to predict muscle damage could be of use to coaches and practitioners in prescribing recovery practices. Based on GPS data, more individualized strategies could be devised and could potentially result in better subsequent performance.
本研究旨在分析肌肉损伤的间接标志物肌酸激酶(CK)浓度与精英足球运动员连续两周季前训练期全球定位系统(GPS)得出的指标之间的关系。
在为期14天的季前准备期对21名精英男性职业足球运动员进行评估。每天早晨测定CK浓度,并使用GPS系统量化外部负荷。建立广义估计方程(GEE)模型以确定外部负荷参数对训练后CK水平的解释程度。
GEE模型发现,减速次数较多(χ2 = 7.83,P = 0.005)与训练后CK水平的相关性最强。减速和加速分别占训练后CK水平的62%和11%,数据中存在相当大的个体间差异。
使用GPS预测肌肉损伤可能对教练和从业者制定恢复措施有用。基于GPS数据,可以制定更个性化的策略,并可能带来更好的后续表现。