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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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. |
format | Online Article Text |
id | pubmed-9601937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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