<p>The study investigated the relationship between external and internal training load measures in 25 male elite youth soccer players (age: 16.6 ± 0.9 years, VO<sub>2max</sub>: 59 ± 4&#xa0;ml/min/kg) over 3 months. External load&#xa0;(i.e., total distance, high metabolic power distance,&#xa0;high-speed running) was quantified using a local positioning system and related to subjective (RPE, sleep quality, drive (energy level)), biochemical (creatine kinase (CK), lactate dehydrogenase (LDH), C-reactive protein (CRP), urea, cortisol, transferrin), and neuromuscular (CMJ) markers. Single day workload (1DL), exponential 7-day workload (7DL), and the acute: chronic workload ratio (ACWR) were calculated. 1DL parameters were correlated (Spearman’s rho) with RPE (range <i>r</i> = 0.24&#xa0;to&#xa0;0.43, <i>p</i> &lt; 0.01) and 1DL distance was negatively related to drive (<i>r</i> = − 0.28, <i>p</i> &lt; 0.001). LDH correlated positively with training load across all calculation methods (up to <i>r</i> = 0.27, <i>p</i> &lt; 0.01). CK exhibited positive correlations to ACWR training load (<i>r</i> = 0.23 to 0.27, <i>p</i> &lt; 0.05), while transferrin (ACWR) and CRP (1DL) showed negative associations to training load (<i>r</i> = − 0.21 to − 0.28, <i>p</i> &lt; 0.05). CMJ eccentric mean force was negatively correlated with all ACWR training load variables (<i>r</i> = − 0.22 to − 0.25, <i>p</i> &lt; 0.01). In summary, subjective measures showed stronger and more consistent associations with training load than biomarkers or neuromuscular testing. Practitioners may confidently use well-structured questionnaires for load monitoring in elite youth soccer.</p>

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On the relationship between external and internal load variables in elite youth soccer players

  • Nils Haller,
  • Thomas Stanin,
  • Tilmann Strepp,
  • Julia Blumkaitis,
  • Manfred Düring,
  • Thomas Mroz,
  • Wolfgang Trutschnig,
  • Thomas Leonhard Stöggl

摘要

The study investigated the relationship between external and internal training load measures in 25 male elite youth soccer players (age: 16.6 ± 0.9 years, VO2max: 59 ± 4 ml/min/kg) over 3 months. External load (i.e., total distance, high metabolic power distance, high-speed running) was quantified using a local positioning system and related to subjective (RPE, sleep quality, drive (energy level)), biochemical (creatine kinase (CK), lactate dehydrogenase (LDH), C-reactive protein (CRP), urea, cortisol, transferrin), and neuromuscular (CMJ) markers. Single day workload (1DL), exponential 7-day workload (7DL), and the acute: chronic workload ratio (ACWR) were calculated. 1DL parameters were correlated (Spearman’s rho) with RPE (range r = 0.24 to 0.43, p < 0.01) and 1DL distance was negatively related to drive (r = − 0.28, p < 0.001). LDH correlated positively with training load across all calculation methods (up to r = 0.27, p < 0.01). CK exhibited positive correlations to ACWR training load (r = 0.23 to 0.27, p < 0.05), while transferrin (ACWR) and CRP (1DL) showed negative associations to training load (r = − 0.21 to − 0.28, p < 0.05). CMJ eccentric mean force was negatively correlated with all ACWR training load variables (r = − 0.22 to − 0.25, p < 0.01). In summary, subjective measures showed stronger and more consistent associations with training load than biomarkers or neuromuscular testing. Practitioners may confidently use well-structured questionnaires for load monitoring in elite youth soccer.