4.3 Article

Factors Influencing Creatine Kinase Response in Youth National Team Soccer Players

Journal

SPORTS HEALTH-A MULTIDISCIPLINARY APPROACH
Volume 13, Issue 4, Pages 332-340

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/1941738121999387

Keywords

muscle damage; cluster-based prediction; external load; internal load

Categories

Funding

  1. Hungarian Football Federation
  2. National Research, Development and Innovation Office of Hungary (NKFIH) [FK 128233, FK_18]

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This study aimed to establish CK prediction models for elite youth national team soccer players, finding that training and match load have different effects on CK response, and there are position-specific differences in the influential external and internal load parameters on CK changes.
Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R-2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions (R-2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day's CK values.

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