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. 2022 Mar;39(2):319-327.
doi: 10.5114/biolsport.2022.104065. Epub 2021 Apr 9.

Training, psychometric status, biological markers and neuromuscular fatigue in soccer

Affiliations

Training, psychometric status, biological markers and neuromuscular fatigue in soccer

Okba Selmi et al. Biol Sport. 2022 Mar.

Abstract

The study examined the relationship between psychometric status, neuromuscular, and biochemical markers of fatigue in response to an intensified training (IT) period in soccer. Fifteen professional soccer players volunteered to participate in the study (mean ± SD: age: 25 ± 1 years; body height: 179 ± 7 cm, body mass: 73.7 ± 16.2 kg, experience: 13.2 ± 3 years). Training load, monotony, strain, Hooper index and total quality recovery (TQR) were determined for each training session during a 2-week of IT. Counter-movement jump (CMJ) and biochemical responses [testosterone, cortisol, testosterone-to-cortisol ratio (T/C ratio), creatine kinase, and C-reactive protein] were collected before and after IT. Results showed that IT induced significant increases in cortisol, creatine kinase and C-reactive protein and significant decreases in T/C ratio and CMJ performance from before to after IT (p < 0.01, p < 0.001, p < 0.001, p < 0.01, p < 0.05, respectively). However, testosterone did not differ from before to after IT (p > 0.05). Training loads were positively correlated with Hooper index (p < 0.05) and negatively correlated with total quality recovery (p < 0.05). Hooper index was positively correlated with cortisol (p < 0.05), T/C ratio (p < 0.01), and creatine kinase (p < 0.01), and negatively correlated with CMJ (p < 0.05). Furthermore, TQR was negatively correlated with T/C ratio (p < 0.01), creatine kinase (p < 0.001), and C-reactive protein (p < 0.05), and positively correlated with CMJ (p < 0.01). Neuromuscular fatigue, muscle damage, and change in the anabolic/catabolic state induced by the IT were related to well-being and perceived recovery state among professional soccer players.

Keywords: Cortisol; Fatigue; Recovery; Testosterone; Training load; Well-being.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

FIG. 1
FIG. 1
Weekly average training loads, monotony, and strain measured throughout the 2-week intensive training period (Values are means ± SD; n = 15). Abbreviation: W-1: week-1, W-2: week-2, AU: arbitrary units, asterisks indicate a value higher than the value for the preceding week; *p < 0.05, **p < 0.01, ***p < 0.001.
FIG. 2
FIG. 2
Weekly average rating of well-being indices and recovery state measured throughout the 2-week intensive training period. (Values are means ± SD; n = 15). Asterisks indicate a value different from the preceding week, *p < 0.05, **p < 0.01. Abbreviation: AU: arbitrary units, W-1: week-1, W-2: week-2, DOMS: delayed-onset muscle soreness, HI: Hooper index, TQR: total quality recovery (TQR).
FIG. 3
FIG. 3
Changes in biological parameters and counter movement jump performance pre (T1) and post (T2) 2-week intensive training period (Values are means ± SD; n = 15). Abbreviation: T/C ratio: testosterone to cortisol ratio; CK: creatine kinase: CRP: C-reactive protein; CMJ: counter movement jump. *Different from T1 (p < 0.05), **different from T1 (p < 0.01), ***different from T1 (p < 0.001).

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