Monitoring Psychometric States of Recovery to Improve Performance in Soccer Players: A Brief Review

Okba Selmi, Ibrahim Ouergui, Antonella Muscella, Giulia My, Santo Marsigliante, Hadi Nobari, Katsuhiko Suzuki and Anissa Bouassida
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Okba Selmi: High Institute of Sports and Physical Education of Kef, University of Jendouba, Jendouba 7100, Tunisia
Ibrahim Ouergui: High Institute of Sports and Physical Education of Kef, University of Jendouba, Jendouba 7100, Tunisia
Antonella Muscella: Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy
Giulia My: Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy
Santo Marsigliante: Department of Biological and Environmental Science and Technologies, University of Salento, 73100 Lecce, Italy
Hadi Nobari: Faculty of Physiology, School of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
Katsuhiko Suzuki: Faculty of Sport Sciences, Institute of Sports Nutrition, Waseda University, Tokyo 359-1192, Japan
Anissa Bouassida: High Institute of Sports and Physical Education of Kef, University of Jendouba, Jendouba 7100, Tunisia

IJERPH, 2022, vol. 19, issue 15, 1-18

Abstract: In order to maximize adaptations and to avoid nonfunctional overreaching syndrome or noncontact injury, coaches in high-performance sports must regularly monitor recovery before and after competitions/important training sessions and maintain well-being status. Therefore, quantifying and evaluating psychometric states of recovery during the season in sports teams such as soccer is important. Over the last years, there has been substantial growth in research related to psychometric states of recovery in soccer. The increase in research on this topic is coincident with the increase in popularity obtained by subjective monitoring of the pre-fatigue state of the players before each training sessions or match with a strong emphasis on the effects of well-being or recovery state. Among the subjective methods for players’ control, the Hooper index (HI) assesses the quality of sleep during the previous night, overall stress, fatigue, and delayed-onset muscle soreness. Additionally, the total quality of recovery (TQR) scale measures recovery status. The HI and TQR recorded before each training session or match were affected by the variability of training load (TL) and influenced the physical and technical performances, and the affective aspects of soccer players. Researchers have recommended wellness monitoring soccer players’ psychometric state of recovery before each training session or match in order to detect early signs of fatigue and optimize high-level training performance. This method allows for better detecting signs of individual fatigue and allows coaches to adapt and readjust the TL, and avoid physical and technical gaps in order to improve the performance of soccer players.

Keywords: soccer; well-being; training load; fatigue; performance; TQR (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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