Relationships between internal training intensity and well-being changes in youth football players
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/20.500.11960/3586 |
Resumo: | 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, 2 = 0.35; H = 414.97, p = 0.001, 2 = 0.41, H = 258.42, p = 0.001, 2 = 0.24 and H=282.18, p = 0.001, 2 =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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Relationships between internal training intensity and well-being changes in youth football playersAthletic performanceHooper indexLoad monitoringPerceived exertionSoccerTestingWellnessThe 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, 2 = 0.35; H = 414.97, p = 0.001, 2 = 0.41, H = 258.42, p = 0.001, 2 = 0.24 and H=282.18, p = 0.001, 2 =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.2023-10-26T11:52:34Z2022-09-21T00:00:00Z2022-09-212023-08-28T15:59:43Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/3586eng2227-903210.3390/healthcare10101814Silva, Rui MiguelClemente, Filipe ManuelGonzález-Fernández, Francisco TomásNobari, HadiOliveira, RafaelSilva, Ana FilipaCancela-Carral, José Maríainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-02T07:35:43Zoai:repositorio.ipvc.pt:20.500.11960/3586Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:26:29.772293Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Relationships between internal training intensity and well-being changes in youth football players Silva, Rui Miguel Athletic performance Hooper index Load monitoring Perceived exertion Soccer Testing Wellness |
title_short |
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_sort |
Relationships between internal training intensity and well-being changes in youth football players |
author |
Silva, Rui Miguel |
author_facet |
Silva, Rui Miguel Clemente, Filipe Manuel González-Fernández, Francisco Tomás Nobari, Hadi Oliveira, Rafael Silva, Ana Filipa Cancela-Carral, José María |
author_role |
author |
author2 |
Clemente, Filipe Manuel González-Fernández, Francisco Tomás Nobari, Hadi Oliveira, Rafael Silva, Ana Filipa Cancela-Carral, José María |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Rui Miguel Clemente, Filipe Manuel González-Fernández, Francisco Tomás Nobari, Hadi Oliveira, Rafael Silva, Ana Filipa Cancela-Carral, José María |
dc.subject.por.fl_str_mv |
Athletic performance Hooper index Load monitoring Perceived exertion Soccer Testing Wellness |
topic |
Athletic performance Hooper index Load monitoring Perceived exertion Soccer Testing Wellness |
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, 2 = 0.35; H = 414.97, p = 0.001, 2 = 0.41, H = 258.42, p = 0.001, 2 = 0.24 and H=282.18, p = 0.001, 2 =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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-21T00:00:00Z 2022-09-21 2023-10-26T11:52:34Z 2023-08-28T15:59:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/20.500.11960/3586 |
url |
http://hdl.handle.net/20.500.11960/3586 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2227-9032 10.3390/healthcare10101814 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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