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Individual Patterns in Blood-Borne Indicators of Fatigue—Trait or Chance

Julian, Ross, Meyer, Tim, Fullagar, Hugh H.K., Skorski, Sabrina, Pfeiffer, Mark, Kellmann, Michael, Ferrauti, Alexander, Hecksteden, Anne·2017·Journal of Strength and Conditioning Research

Abstract

Julian, R, Meyer, T, Fullagar, HHK, Skorski, S, Pfeiffer, M, Kellmann, M, Ferrauti, A, and Hecksteden, A. Individual patterns in blood-borne indicators of fatigue—trait or chance. J Strength Cond Res 31(3): 608–619, 2017—Blood-borne markers of fatigue such as creatine kinase (CK) and urea (U) are widely used to fine-tune training recommendations. However, predictive accuracy is low. A possible explanation for this dissatisfactory characteristic is the propensity of athletes to react to different patterns of fatigue indicators (e.g., predominantly muscular [CK] or metabolic [U]). The aim of the present trial was to explore this hypothesis by using repetitive fatigue-recovery cycles. A total of 22 elite junior swimmers and triathletes (18 ± 3 years) were monitored for 9 weeks throughout 2 training phases (low-intensity, high-volume [LIHV] and high-intensity, low-volume [HILV] phases). Blood samples were collected each Monday (recovered) and Friday (fatigued) morning. From measured values of CK, U, free-testosterone (FT), and cortisol (C) as determined in the rested and fatigued state, respectively, Monday–Friday differences (Δ) were calculated and classified by magnitude before calculation of ratios (ΔCK/ΔU and ΔFT/ΔC). Coefficient of variation (CV) was calculated as group-based estimate s of reproducibility. Linear mixed modeling was used to differentiate inter- and intraindividual variability. Consistency of patterns was analyzed by comparing with threshold values (<0.9 or >1.1 for all weeks). Reproducibility was very low for fatigue-induced changes (CV ≥ 100%) with interindividual variation accounting for 45–60% of overall variability. Case-wise analysis indicated consistent ΔCK/ΔU patterns for 7 individuals in LIHV and 7 in HILV; 5 responded consistently throughout. For ΔFT/ΔC the number of consistent patterns was 2 in LIHV and 3 in HILV. These findings highlight the potential value of an individualized and multivariate approach in the assessment of fatigue.

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Metadata

Authors
Julian, R., Meyer, T., Fullagar, H. H. K., Skorski, S., Pfeiffer, M., Kellmann, M., Ferrauti, A., & Hecksteden, A.
Affiliations
  • Institute of Sport and Preventive Medicine, Saarland University, Germany;
  • Institute of Sports Science, Johannes-Gutenberg University, Mainz, Germany; and
  • Faculty of Sports Science, Ruhr-University of Bochum, Bochum, Germany
Venue
Journal of Strength and Conditioning Research
Published
2017-03
Volume
31
Issue
3
Pages
608-619
ISSN
1064-8011
Cited by
23
References
1
Language
en

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CoChat. (2026). Citation check: Individual Patterns in Blood-Borne Indicators of Fatigue—Trait or Chance. https://app.cochat.ai/papers/10.1519/jsc.0000000000001390
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Julian, R., Meyer, T., Fullagar, H. H. K., Skorski, S., Pfeiffer, M., Kellmann, M., Ferrauti, A., & Hecksteden, A. (2017). Individual Patterns in Blood-Borne Indicators of Fatigue—Trait or Chance. Journal of Strength and Conditioning Research. https://doi.org/10.1519/jsc.0000000000001390

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