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Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players

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Resumo:The aims of this study were 1) to analyze the influence of chronological age, relative age, and biological maturation on accumulated training load and perceived exertion in young sub-elite football players and 2) to understand the interaction effects amongst age grouping,maturation status, and birth quartiles on accumulated training load and perceived exertion in this target population. A 6-week period (18 training sessions and 324 observation cases) concerning 60 young male sub-elite football players grouped into relative age (Q1 to Q4), age group (U15, U17, and U19), and maturation status (Pre-peak height velocity (PHV), Mid-PHV, and Post- PHV) was established. External training load data were collected using 18 Hz global positioning system technology (GPS), heart-rate measures by a 1 Hz short-range telemetry system, and perceived exertion with total quality recovery (TQR) and rating of perceived exertion (RPE). U17 players and U15 players were 2.35 (95% CI: 1.25–4.51) and 1.60 (95% CI: 0.19–4.33) times more likely to pertain to Q1 and Q3, respectively. A negative magnitude for odds ratio was found in all four quartile comparisons within maturation status (95% CI: 6.72–0.64), except for Mid-PHV on Q2 (95% CI: 0.19–4.33). Between- and within-subject analysis reported significant differences in all variables on age group comparison measures (F = 0.439 to 26.636, p = 0.000 to 0.019, η2 = 0.003–0.037), except for dynamic stress load (DSL). Between-subject analysis onmaturity status comparison demonstrated significant differences for all training load measures (F = 6.593 to 14.424, p = 0.000 to 0.037, η2 = 0.020–0.092). Interaction effects were found for age group xmaturity band x relative age (Λ Pillai’s = 0.391, Λ Wilk’s = 0.609, F = 11.385, p = 0.000, η2 = 0.391) and maturity band x relative age (Λ Pillai’s = 0.252, Λ Wilk’s = 0.769,F=0.955, p = 0.004, η2 = 0.112). Current research has confirmed the effects of chronological age, relative age, and biological maturation on accumulated training load. Perceived exertion does not seem to show any differences concerning age group or maturity status. Evidence should be helpful for professionals to optimize the training process and young football players’ performance.
Autores principais:Teixeira, José Eduardo
Outros Autores:Alves, Ana Ruivo; Ferraz, Ricardo; Forte, Pedro; Leal, Miguel; Ribeiro, Joana; Silva, A.J.; Barbosa, Tiago M.; Monteiro, A.M.
Assunto:GPS Growth Heart rate RPE Workload Youth
Ano:2022
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Teixeira, José Eduardo
author2 Alves, Ana Ruivo
Ferraz, Ricardo
Forte, Pedro
Leal, Miguel
Ribeiro, Joana
Silva, A.J.
Barbosa, Tiago M.
Monteiro, A.M.
author2_role author
author
author
author
author
author
author
author
author_facet Teixeira, José Eduardo
Alves, Ana Ruivo
Ferraz, Ricardo
Forte, Pedro
Leal, Miguel
Ribeiro, Joana
Silva, A.J.
Barbosa, Tiago M.
Monteiro, A.M.
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Teixeira, José Eduardo\",\"Person.identifier.orcid\":\"0000-0003-4612-3623\"},{\"Person.name\":\"Alves, Ana Ruivo\"},{\"Person.name\":\"Ferraz, Ricardo\"},{\"Person.name\":\"Forte, Pedro\",\"Person.identifier.orcid\":\"0000-0003-0184-6780\"},{\"Person.name\":\"Leal, Miguel\"},{\"Person.name\":\"Ribeiro, Joana\"},{\"Person.name\":\"Silva, A.J.\"},{\"Person.name\":\"Barbosa, Tiago M.\",\"Person.identifier.orcid\":\"0000-0001-7071-2116\"},{\"Person.name\":\"Monteiro, A.M.\",\"Person.identifier.orcid\":\"0000-0003-4467-1722\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Teixeira, José Eduardo
Alves, Ana Ruivo
Ferraz, Ricardo
Forte, Pedro
Leal, Miguel
Ribeiro, Joana
Silva, A.J.
Barbosa, Tiago M.
Monteiro, A.M.
datacite.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2022-05-17T15:01:28Z
datacite.date.embargoed.fl_str_mv 2022-05-17T15:01:28Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv GPS
Growth
Heart rate
RPE
Workload
Youth
datacite.titles.title.fl_str_mv Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Teixeira, José Eduardo
Alves, Ana Ruivo
Ferraz, Ricardo
Forte, Pedro
Leal, Miguel
Ribeiro, Joana
Silva, A.J.
Barbosa, Tiago M.
Monteiro, A.M.
dc.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
dc.date.available.fl_str_mv 2022-05-17T15:01:28Z
dc.date.embargoed.fl_str_mv 2022-05-17T15:01:28Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/25473
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv GPS
Growth
Heart rate
RPE
Workload
Youth
dc.title.fl_str_mv Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The aims of this study were 1) to analyze the influence of chronological age, relative age, and biological maturation on accumulated training load and perceived exertion in young sub-elite football players and 2) to understand the interaction effects amongst age grouping,maturation status, and birth quartiles on accumulated training load and perceived exertion in this target population. A 6-week period (18 training sessions and 324 observation cases) concerning 60 young male sub-elite football players grouped into relative age (Q1 to Q4), age group (U15, U17, and U19), and maturation status (Pre-peak height velocity (PHV), Mid-PHV, and Post- PHV) was established. External training load data were collected using 18 Hz global positioning system technology (GPS), heart-rate measures by a 1 Hz short-range telemetry system, and perceived exertion with total quality recovery (TQR) and rating of perceived exertion (RPE). U17 players and U15 players were 2.35 (95% CI: 1.25–4.51) and 1.60 (95% CI: 0.19–4.33) times more likely to pertain to Q1 and Q3, respectively. A negative magnitude for odds ratio was found in all four quartile comparisons within maturation status (95% CI: 6.72–0.64), except for Mid-PHV on Q2 (95% CI: 0.19–4.33). Between- and within-subject analysis reported significant differences in all variables on age group comparison measures (F = 0.439 to 26.636, p = 0.000 to 0.019, η2 = 0.003–0.037), except for dynamic stress load (DSL). Between-subject analysis onmaturity status comparison demonstrated significant differences for all training load measures (F = 6.593 to 14.424, p = 0.000 to 0.037, η2 = 0.020–0.092). Interaction effects were found for age group xmaturity band x relative age (Λ Pillai’s = 0.391, Λ Wilk’s = 0.609, F = 11.385, p = 0.000, η2 = 0.391) and maturity band x relative age (Λ Pillai’s = 0.252, Λ Wilk’s = 0.769,F=0.955, p = 0.004, η2 = 0.112). Current research has confirmed the effects of chronological age, relative age, and biological maturation on accumulated training load. Perceived exertion does not seem to show any differences concerning age group or maturity status. Evidence should be helpful for professionals to optimize the training process and young football players’ performance.
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eu_rights_str_mv openAccess
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person_str_mv Teixeira, José Eduardo
Teixeira, José Eduardo
https://www.ciencia-id.pt/D11C-9591-7A8A
D11C-9591-7A8A
http://orcid.org/0000-0003-4612-3623
0000-0003-4612-3623
Alves, Ana Ruivo
Ferraz, Ricardo
Forte, Pedro
Forte, Pedro
https://www.ciencia-id.pt/351B-B16B-79C7
351B-B16B-79C7
http://orcid.org/0000-0003-0184-6780
0000-0003-0184-6780
Leal, Miguel
Ribeiro, Joana
Silva, A.J.
Barbosa, Tiago M.
Barbosa, Tiago M.
https://www.ciencia-id.pt/8B11-BDC4-F6FF
8B11-BDC4-F6FF
http://orcid.org/0000-0001-7071-2116
0000-0001-7071-2116
Monteiro, A.M.
Monteiro, A.M.
https://www.ciencia-id.pt/C41C-6CCD-A1F0
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http://orcid.org/0000-0003-4467-1722
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spelling engpt_PTThe aims of this study were 1) to analyze the influence of chronological age, relative age, and biological maturation on accumulated training load and perceived exertion in young sub-elite football players and 2) to understand the interaction effects amongst age grouping,maturation status, and birth quartiles on accumulated training load and perceived exertion in this target population. A 6-week period (18 training sessions and 324 observation cases) concerning 60 young male sub-elite football players grouped into relative age (Q1 to Q4), age group (U15, U17, and U19), and maturation status (Pre-peak height velocity (PHV), Mid-PHV, and Post- PHV) was established. External training load data were collected using 18 Hz global positioning system technology (GPS), heart-rate measures by a 1 Hz short-range telemetry system, and perceived exertion with total quality recovery (TQR) and rating of perceived exertion (RPE). U17 players and U15 players were 2.35 (95% CI: 1.25–4.51) and 1.60 (95% CI: 0.19–4.33) times more likely to pertain to Q1 and Q3, respectively. A negative magnitude for odds ratio was found in all four quartile comparisons within maturation status (95% CI: 6.72–0.64), except for Mid-PHV on Q2 (95% CI: 0.19–4.33). Between- and within-subject analysis reported significant differences in all variables on age group comparison measures (F = 0.439 to 26.636, p = 0.000 to 0.019, η2 = 0.003–0.037), except for dynamic stress load (DSL). Between-subject analysis onmaturity status comparison demonstrated significant differences for all training load measures (F = 6.593 to 14.424, p = 0.000 to 0.037, η2 = 0.020–0.092). Interaction effects were found for age group xmaturity band x relative age (Λ Pillai’s = 0.391, Λ Wilk’s = 0.609, F = 11.385, p = 0.000, η2 = 0.391) and maturity band x relative age (Λ Pillai’s = 0.252, Λ Wilk’s = 0.769,F=0.955, p = 0.004, η2 = 0.112). Current research has confirmed the effects of chronological age, relative age, and biological maturation on accumulated training load. Perceived exertion does not seem to show any differences concerning age group or maturity status. Evidence should be helpful for professionals to optimize the training process and young football players’ performance.application/pdfpt_PTEffects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football playersPersonalTeixeira, José EduardoDSpacehttp://dspace.org/items/79042f92-ce53-4b79-a33f-76ac63c55b8dDSpacehttp://dspace.org/items/79042f92-ce53-4b79-a33f-76ac63c55b8dTeixeiraJosé EduardoCiência IDhttps://www.ciencia-id.ptD11C-9591-7A8AORCIDhttp://orcid.org0000-0003-4612-3623Alves, Ana RuivoFerraz, RicardoPersonalForte, PedroDSpacehttp://dspace.org/items/3ecc6d1b-07a4-40d7-81f4-df6fd7b3d5b0DSpacehttp://dspace.org/items/3ecc6d1b-07a4-40d7-81f4-df6fd7b3d5b0FortePedroCiência IDhttps://www.ciencia-id.pt351B-B16B-79C7ORCIDhttp://orcid.org0000-0003-0184-6780Leal, MiguelRibeiro, JoanaSilva, A.J.PersonalBarbosa, Tiago M.DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42DSpacehttp://dspace.org/items/941a6f14-cfba-458a-a2e3-0cbd1846cd42BarbosaTiago M.Ciência IDhttps://www.ciencia-id.pt8B11-BDC4-F6FFORCIDhttp://orcid.org0000-0001-7071-2116Scopus Author IDhttps://www.scopus.com10044856400PersonalMonteiro, A.M.DSpacehttp://dspace.org/items/5b5d8601-e683-42d5-a1b5-c8e29a4e0a41DSpacehttp://dspace.org/items/5b5d8601-e683-42d5-a1b5-c8e29a4e0a41MonteiroAntónio M.Ciência IDhttps://www.ciencia-id.ptC41C-6CCD-A1F0ORCIDhttp://orcid.org0000-0003-4467-1722HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.3389/fphys.2022.8322022022-05-17T15:01:28Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/25473http://purl.org/coar/access_right/c_abf2open accessGPSGrowthHeart rateRPEWorkloadYouth1473030 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/9078d867-dd4b-47c9-9139-1a44fab0bb99/downloadFrontiers in Physiology13
spellingShingle Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
Teixeira, José Eduardo
GPS
Growth
Heart rate
RPE
Workload
Youth
status SINGLETON
subject.fl_str_mv GPS
Growth
Heart rate
RPE
Workload
Youth
title Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
title_full Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
title_fullStr Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
title_full_unstemmed Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
title_short Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
title_sort Effects of chronological age, relative age, and maturation status on accumulated training load and perceived exertion in young sub-elite football players
topic GPS
Growth
Heart rate
RPE
Workload
Youth
topic_facet GPS
Growth
Heart rate
RPE
Workload
Youth
url http://hdl.handle.net/10198/25473
visible 1