Relationship between Objective and Subjective Fatigue Monitoring Tests in Professional Soccer

Studying fatigue is challenging because it is influenced by physiological, psychological, and sociological states. Fatigue can be assessed objectively or subjectively, but the literature has difficulty understanding how an analytical test relates to a response via a questionnaire. Thus, the purpose...

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Veröffentlicht in:International journal of environmental research and public health 2023-01, Vol.20 (2), p.1539
Hauptverfasser: Lourenço, João, Gouveia, Élvio Rúbio, Sarmento, Hugo, Ihle, Andreas, Ribeiro, Tiago, Henriques, Ricardo, Martins, Francisco, França, Cíntia, Ferreira, Ricardo Maia, Fernandes, Luís, Teques, Pedro, Duarte, Daniel
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container_issue 2
container_start_page 1539
container_title International journal of environmental research and public health
container_volume 20
creator Lourenço, João
Gouveia, Élvio Rúbio
Sarmento, Hugo
Ihle, Andreas
Ribeiro, Tiago
Henriques, Ricardo
Martins, Francisco
França, Cíntia
Ferreira, Ricardo Maia
Fernandes, Luís
Teques, Pedro
Duarte, Daniel
description Studying fatigue is challenging because it is influenced by physiological, psychological, and sociological states. Fatigue can be assessed objectively or subjectively, but the literature has difficulty understanding how an analytical test relates to a response via a questionnaire. Thus, the purpose of this study was to evaluate the relationships between objective fatigue variables (Squat Jump (SJ) and Countermovement Jump (CMJ)) measured on day-2 to the game and subjective fatigue (Rating Perceived Exertion (RPE) measured on day-3 to the game and Hooper Index (HI) measured on day-2). The sample comprised 32 professional football players from the First Portuguese League aged 25.86 ± 3.15 years. The Spearman correlations and regression analyses were used to study the relationships between the variables. The results showed statistically significant (p < 0.05) but small correlations (0.113−0.172) between several objective metrics and the subjective metrics evaluated. In addition, we found two weak models with statistical significance (p < 0.05) between the dependent objective variables (contact time, height, and elasticity index) and the HI (R2 = 3.7%) and RPE (R2 = 1.6%). Also, nine statistically significant (p < 0.05) but weak models were observed between the subjective dependent variables (HI and RPE) and contact time (R2 = 1.8−2.7%), flight time (R2 = 1.1−1.9%), height (R2 = 1.2−2.3%), power (R2 = 1.4%), pace (R2 = 1.2−2.1%), and elasticity index (R2 = 1.6%). In conclusion, objective and subjective fatigue-monitoring tests in professional soccer do not measure identical but rather complementary aspects of fatigue, and therefore, both need to be considered to gain a holistic perspective.
doi_str_mv 10.3390/ijerph20021539
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Fatigue can be assessed objectively or subjectively, but the literature has difficulty understanding how an analytical test relates to a response via a questionnaire. Thus, the purpose of this study was to evaluate the relationships between objective fatigue variables (Squat Jump (SJ) and Countermovement Jump (CMJ)) measured on day-2 to the game and subjective fatigue (Rating Perceived Exertion (RPE) measured on day-3 to the game and Hooper Index (HI) measured on day-2). The sample comprised 32 professional football players from the First Portuguese League aged 25.86 ± 3.15 years. The Spearman correlations and regression analyses were used to study the relationships between the variables. The results showed statistically significant (p &lt; 0.05) but small correlations (0.113−0.172) between several objective metrics and the subjective metrics evaluated. In addition, we found two weak models with statistical significance (p &lt; 0.05) between the dependent objective variables (contact time, height, and elasticity index) and the HI (R2 = 3.7%) and RPE (R2 = 1.6%). Also, nine statistically significant (p &lt; 0.05) but weak models were observed between the subjective dependent variables (HI and RPE) and contact time (R2 = 1.8−2.7%), flight time (R2 = 1.1−1.9%), height (R2 = 1.2−2.3%), power (R2 = 1.4%), pace (R2 = 1.2−2.1%), and elasticity index (R2 = 1.6%). 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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central; Free Full-Text Journals in Chemistry
subjects Dependent variables
Elasticity
Evaluation
Fatigue
Fatigue - diagnosis
Fatigue tests
Global positioning systems
GPS
Humans
Jumping
Mathematical models
Monitoring
Posture
Questionnaires
Sleep
Soccer
Soccer - physiology
Software
Sports agents
Statistical analysis
Values
title Relationship between Objective and Subjective Fatigue Monitoring Tests in Professional Soccer
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