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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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          Abstract

          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, η 2 = 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, η 2 = 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, η 2 = 0.391) and maturity band x relative age ( Λ Pillai’s = 0.252, Λ Wilk’s = 0.769, F = 0.955 , p = 0.004, η 2 = 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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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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                Author and article information

                Contributors
                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                31 March 2022
                2022
                : 13
                : 832202
                Affiliations
                [1] 1 Research Centre in Sports Sciences , Health and Human Development , Vila Real, Portugal
                [2] 2 Department of Sports , Exercise and Health Sciences , University of Trás-os-Montes e Alto Douro , Vila Real, Portugal
                [3] 3 Department of Sport Sciences , Instituto Politécnico de Bragança , Bragança, Portugal
                [4] 4 Department of Sport Sciences , University of Beira Interior , Covilhã, Portugal
                [5] 5 Department of Sports , Douro Higher Institute of Educational Sciences , Penafiel, Portugal
                Author notes

                Edited by: Daniel Rojas-Valverde, National University of Costa Rica, Costa Rica

                Reviewed by: Corrado Lupo, University of Turin, Italy

                Moktar Chtara, Centre National de la Medecine et des Sciences Des Sports, Tunisia

                *Correspondence: José Eduardo Teixeira, jose.eduardo@ 123456ipb.pt

                This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology

                Article
                832202
                10.3389/fphys.2022.832202
                9010324
                35432006
                32f32b6d-563a-4291-8ee6-3d07831c44ff
                Copyright © 2022 Teixeira, Alves, Ferraz, Forte, Leal, Ribeiro, Silva, Barbosa and Monteiro.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 December 2021
                : 07 March 2022
                Categories
                Physiology
                Original Research

                Anatomy & Physiology
                youth,growth,workload,gps,rpe,heart rate
                Anatomy & Physiology
                youth, growth, workload, gps, rpe, heart rate

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