Schuth Gabor, Szigeti Gyorgy, Dobreff Gergely, Pasic Alija, Gabbett Tim, Szilas Adam, Pavlik Gabor
Hungarian Football Federation, Department of Sport Medicine and Sport Science, Budapest, Hungary.
University of Physical Education, Department of Health Sciences and Sport Medicine, Budapest, Hungary.
Sports Health. 2023 Sep-Oct;15(5):700-709. doi: 10.1177/19417381221128822. Epub 2022 Oct 30.
Previous studies have examined the relationship between external load and creatine-kinase (CK) response at the team level. This study aimed to build individualized CK prediction models for elite youth national team soccer players.
The CK response of youth soccer players can be categorized as being sensitive to micromovements (MM), high-velocity (HV) parameters, or the combination of both, measured during training sessions and matches.
Prospective cohort study.
Level 4.
A total of 25 U16-U17 youth national team soccer players were monitored during training sessions and matches using global positioning system (GPS) units. Individual CK values were measured every morning from whole blood. The data set consisted of 57 ± 17 individual datapoints per player. Individual prediction models were used to examine the relationship between external load and consecutive CK changes. Numerous models were built for each player using MM, HV parameters, or the combination of both. The performance of the models was described by the and the root mean square error (RMSE, U/l for CK values).
The MM models were superior for 8 players ( = 0.68; RMSE = 113 U/l), followed by HV (8 players; = 0.69; RMSE = 88 U/l) and the combined models (2 players; = 0.64; RMSE = 141 U/l). For the remaining 7 players, the of the models was <0.5. The recovery time between efforts was more important in the HV model.
Players could be categorized on sensitivity to MM, HV movements, or the combination of both.
These findings can be used to individualize postmatch recovery strategies and to optimize weekly training periodization to maximize match performance.
以往研究在团队层面考察了外部负荷与肌酸激酶(CK)反应之间的关系。本研究旨在为精英青年国家队足球运动员建立个性化的CK预测模型。
青年足球运动员的CK反应可分为对微动作(MM)、高速(HV)参数或两者结合敏感,这些可在训练课程和比赛期间进行测量。
前瞻性队列研究。
4级。
使用全球定位系统(GPS)设备对25名16 - 17岁青年国家队足球运动员在训练课程和比赛期间进行监测。每天早晨从全血中测量个体CK值。数据集包括每位球员57±17个个体数据点。使用个体预测模型来检验外部负荷与连续CK变化之间的关系。为每位球员构建了许多使用MM、HV参数或两者结合的模型。模型的性能通过[相关系数]和均方根误差(RMSE,CK值单位为U/l)来描述。
MM模型对8名球员表现更优([相关系数]=0.68;RMSE = 113 U/l),其次是HV模型(8名球员;[相关系数]=0.69;RMSE = 88 U/l)和联合模型(2名球员;[相关系数]=0.64;RMSE = 141 U/l)。对于其余7名球员,模型的[相关系数]<0.5。在HV模型中,努力之间的恢复时间更为重要。
球员可根据对MM、HV动作或两者结合的敏感性进行分类。
这些发现可用于个性化赛后恢复策略,并优化每周训练周期安排以最大化比赛表现。