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. 2020 Oct 29;17(21):7934.
doi: 10.3390/ijerph17217934.

Relationships Between Training Workload Parameters with Variations in Anaerobic Power and Change of Direction Status in Elite Youth Soccer Players

Hadi Nobari  1   2 , Luis Felipe Tubagi Polito  3 , Filipe Manuel Clemente  4 , Jorge Pérez-Gómez  5 , Mina Ahmadi  1 , Miguel Ángel Garcia-Gordillo  6 , Ana Filipa Silva  4   7   8 , Jose Carmelo Adsuar  5
Affiliations

Relationships Between Training Workload Parameters with Variations in Anaerobic Power and Change of Direction Status in Elite Youth Soccer Players

Hadi Nobari et al. Int J Environ Res Public Health. .

Abstract

The purpose of this study was to test the relationships between training workload (WL) parameters with variations in anaerobic power and change of direction (COD) in under-16 soccer players. Twenty-three elite players under 16 years were daily monitored for their WL across 20 weeks during the competition soccer season. Additionally, players were assessed three times for anthropometric, body composition, COD, and anaerobic power. A correlational analysis between the mean differences between assessments and accumulated WL parameters were conducted. Moreover, a regression analysis was executed to explain the variations in the percentage of change in fitness levels considering the accumulated WL parameters and peak height velocity. The accumulated daily loads during one week showed a large and a moderate correlation with peak power and COD at different periods of the season. Regression analysis showed no significant predictions for COD (F(12, 10) = 1.2, p = 0.41) prediction, acute load (F(12, 10) = 0.63, p = 0.78), or chronic load (F(12, 10) = 0.59, p = 0.81). In conclusion, it may be assumed that the values of the chronic workload and the accumulated training monotony can be used to better explain the physical capacities of young soccer players, suggesting the importance of psychophysiological instruments to identify the effects of the training process in this population.

Keywords: acceleration; deceleration; football; in-season; nonstarters; pre-season; soccer; starters; training monotony; training strain.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Research outline of the weekly monitoring on training and match load and assessed sessions during the competition season. EaS (early-season = before league for first study and W1 to W7 for the second study); MiS (mid-season = mid league for fist study and W8 to W13 for the second study); and EnS (end-season = after league for fist study and W14 to W20 for the second study); wAL = weekly acute workload; W = Week; TS = Training sessions; ASS = Assessments, and A.U. =Arbitrary unit.
Figure 2
Figure 2
Correlation coefficients (at level of 95% confidence interval) for the peak height velocity soccer player. COD (seconds) = change of direction; RPP (watts) = Running-Based Anaerobic Sprint Test (RAST) of peak power; RMP (watts) = RAST of minimum power; RAP (watts)= RAST of average power; RFI = RAST of fatigue index; AWL(A.U.) = acute workload; CWL (A.U.) = chronic workload; ACWLR (A.U.) = acute: chronic workload ration; TM (A.U.) = training monotony; TS (A.U.) = training strain; and A.U. =Arbitrary unit.
Figure 3
Figure 3
Multiple linear regression analysis was calculated to predict the percentage of change in fitness levels {i.e., COD (seconds), anaerobic power variables (watts), and workload parameter (A.U.)} based on accumulated workload parameters, baseline fitness levels, and the peak height velocity soccer player. (a); COD (seconds) = change of direction; (b); RPP (watts) = RAST of peak power; (c); RFI (%) = RAST of fatigue index; (d); AWL (A.U.) = acute workload; (e); CWL (A.U.) = chronic workload; (f); ACWLR (A.U.) = acute: chronic workload ration; (g); TM (A.U.) = training monotony; (h); TS (A.U.) = training strain; A.U. = Arbitrary unit.
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