Effects of Chronological Age, Relative Age, and Maturation Status on Accumulated Training Load and Perceived Exertion in Young Sub-Elite Football Players

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 birt...

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Published in:Frontiers in Physiology
Main Authors: José Eduardo Teixeira, Ana Ruivo Alves, Ricardo Ferraz, Pedro Forte, Miguel Leal, Joana Ribeiro, António J. Silva, Tiago M. Barbosa, António M. Monteiro
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
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Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.832202/full
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author José Eduardo Teixeira
José Eduardo Teixeira
José Eduardo Teixeira
Ana Ruivo Alves
Ana Ruivo Alves
Ricardo Ferraz
Ricardo Ferraz
Pedro Forte
Pedro Forte
Pedro Forte
Miguel Leal
Joana Ribeiro
António J. Silva
António J. Silva
Tiago M. Barbosa
Tiago M. Barbosa
António M. Monteiro
António M. Monteiro
author_facet José Eduardo Teixeira
José Eduardo Teixeira
José Eduardo Teixeira
Ana Ruivo Alves
Ana Ruivo Alves
Ricardo Ferraz
Ricardo Ferraz
Pedro Forte
Pedro Forte
Pedro Forte
Miguel Leal
Joana Ribeiro
António J. Silva
António J. Silva
Tiago M. Barbosa
Tiago M. Barbosa
António M. Monteiro
António M. Monteiro
author_sort José Eduardo Teixeira
collection DOAJ
container_title Frontiers in Physiology
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 on maturity 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 x maturity 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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spelling doaj-art-804d28af37da4ea3850f65283d01bfc22025-08-19T19:28:57ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2022-03-011310.3389/fphys.2022.832202832202Effects of Chronological Age, Relative Age, and Maturation Status on Accumulated Training Load and Perceived Exertion in Young Sub-Elite Football PlayersJosé Eduardo Teixeira0José Eduardo Teixeira1José Eduardo Teixeira2Ana Ruivo Alves3Ana Ruivo Alves4Ricardo Ferraz5Ricardo Ferraz6Pedro Forte7Pedro Forte8Pedro Forte9Miguel Leal10Joana Ribeiro11António J. Silva12António J. Silva13Tiago M. Barbosa14Tiago M. Barbosa15António M. Monteiro16António M. Monteiro17Research Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sports, Exercise and Health Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, PortugalDepartment of Sport Sciences, Instituto Politécnico de Bragança, Bragança, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sport Sciences, University of Beira Interior, Covilhã, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sport Sciences, University of Beira Interior, Covilhã, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sport Sciences, Instituto Politécnico de Bragança, Bragança, PortugalDepartment of Sports, Douro Higher Institute of Educational Sciences, Penafiel, PortugalDepartment of Sports, Douro Higher Institute of Educational Sciences, Penafiel, PortugalDepartment of Sports, Douro Higher Institute of Educational Sciences, Penafiel, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sports, Exercise and Health Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sport Sciences, Instituto Politécnico de Bragança, Bragança, PortugalResearch Centre in Sports Sciences, Health and Human Development, Vila Real, PortugalDepartment of Sport Sciences, Instituto Politécnico de Bragança, Bragança, PortugalThe 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 on maturity 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 x maturity 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.https://www.frontiersin.org/articles/10.3389/fphys.2022.832202/fullyouthgrowthworkloadGPSRPEheart rate
spellingShingle José Eduardo Teixeira
José Eduardo Teixeira
José Eduardo Teixeira
Ana Ruivo Alves
Ana Ruivo Alves
Ricardo Ferraz
Ricardo Ferraz
Pedro Forte
Pedro Forte
Pedro Forte
Miguel Leal
Joana Ribeiro
António J. Silva
António J. Silva
Tiago M. Barbosa
Tiago M. Barbosa
António M. Monteiro
António M. Monteiro
Effects of Chronological Age, Relative Age, and Maturation Status on Accumulated Training Load and Perceived Exertion in Young Sub-Elite Football Players
youth
growth
workload
GPS
RPE
heart rate
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 youth
growth
workload
GPS
RPE
heart rate
url https://www.frontiersin.org/articles/10.3389/fphys.2022.832202/full
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