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Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players

The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study follo...

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Autores principales: Silva, Rui Miguel, Clemente, Filipe Manuel, González-Fernández, Francisco Tomás, Nobari, Hadi, Oliveira, Rafael, Silva, Ana Filipa, Cancela-Carral, José María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601937/
https://www.ncbi.nlm.nih.gov/pubmed/36292261
http://dx.doi.org/10.3390/healthcare10101814
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author Silva, Rui Miguel
Clemente, Filipe Manuel
González-Fernández, Francisco Tomás
Nobari, Hadi
Oliveira, Rafael
Silva, Ana Filipa
Cancela-Carral, José María
author_facet Silva, Rui Miguel
Clemente, Filipe Manuel
González-Fernández, Francisco Tomás
Nobari, Hadi
Oliveira, Rafael
Silva, Ana Filipa
Cancela-Carral, José María
author_sort Silva, Rui Miguel
collection PubMed
description The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study followed a longitudinal design, lasting 38 weeks. Twenty-five players (age: 15.0 ± 0.4 years) participated in this study. Participants were monitored daily to quantify the training intensity (TI) using the session-rate of perceived exertion (s-RPE) and its related indices: training monotony (TM), weekly training intensity (wTI), mean training intensity (mTI), and 5-day average (5d-AVG). A four-item questionnaire was collected daily to quantify the well-being status of each player. Fatigue, stress, delayed onset muscle soreness (DOMS), sleep quality, and the Hooper Index (HI) measures were analyzed. Kruskal-Wallis H test revealed significant differences for TM, mTI, wTI and 5d-AVG (H = 359.53, p = 0.001, η2 = 0.35; H = 414.97, p = 0.001, η2 = 0.41, H = 258.42, p = 0.001, η2 = 0.24 and H = 282.18, p = 0.001, η2 = 0.26). A positive large correlation was found between TM and sleep quality (r = 0.65, p = 0.05) and a negative large correlation between mTI and sleep quality (r = −0.69, p = 0.04). In conclusion, both TI and well-being measures present significant between-week differences at different periods of the season. Also, the variations of sleep quality seem to depend on TM and mTI variations across a youth football season.
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spelling pubmed-96019372022-10-27 Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players Silva, Rui Miguel Clemente, Filipe Manuel González-Fernández, Francisco Tomás Nobari, Hadi Oliveira, Rafael Silva, Ana Filipa Cancela-Carral, José María Healthcare (Basel) Article The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study followed a longitudinal design, lasting 38 weeks. Twenty-five players (age: 15.0 ± 0.4 years) participated in this study. Participants were monitored daily to quantify the training intensity (TI) using the session-rate of perceived exertion (s-RPE) and its related indices: training monotony (TM), weekly training intensity (wTI), mean training intensity (mTI), and 5-day average (5d-AVG). A four-item questionnaire was collected daily to quantify the well-being status of each player. Fatigue, stress, delayed onset muscle soreness (DOMS), sleep quality, and the Hooper Index (HI) measures were analyzed. Kruskal-Wallis H test revealed significant differences for TM, mTI, wTI and 5d-AVG (H = 359.53, p = 0.001, η2 = 0.35; H = 414.97, p = 0.001, η2 = 0.41, H = 258.42, p = 0.001, η2 = 0.24 and H = 282.18, p = 0.001, η2 = 0.26). A positive large correlation was found between TM and sleep quality (r = 0.65, p = 0.05) and a negative large correlation between mTI and sleep quality (r = −0.69, p = 0.04). In conclusion, both TI and well-being measures present significant between-week differences at different periods of the season. Also, the variations of sleep quality seem to depend on TM and mTI variations across a youth football season. MDPI 2022-09-21 /pmc/articles/PMC9601937/ /pubmed/36292261 http://dx.doi.org/10.3390/healthcare10101814 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Silva, Rui Miguel
Clemente, Filipe Manuel
González-Fernández, Francisco Tomás
Nobari, Hadi
Oliveira, Rafael
Silva, Ana Filipa
Cancela-Carral, José María
Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title_full Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title_fullStr Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title_full_unstemmed Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title_short Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players
title_sort relationships between internal training intensity and well-being changes in youth football players
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601937/
https://www.ncbi.nlm.nih.gov/pubmed/36292261
http://dx.doi.org/10.3390/healthcare10101814
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