Analysis of relationships between different training load monitoring tools in elite U-20 soccer

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dc.creatorGuilherme de Sousa Pinheiro
dc.creatorRoberto Chiari Quintão
dc.creatorIgor Oliveira Custódio
dc.creatorDavid Casamichana
dc.creatorBruno Pena Couto
dc.date.accessioned2022-04-14T18:16:48Z
dc.date.accessioned2025-09-08T23:42:08Z
dc.date.available2022-04-14T18:16:48Z
dc.date.issued2018
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.description.sponsorshipOutra Agência
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.5114/hm.2018.81014
dc.identifier.issn1899-1955
dc.identifier.urihttps://hdl.handle.net/1843/41036
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofHuman Movement
dc.rightsAcesso Aberto
dc.subjectFutebol - Treinamento técnico
dc.subjectFutebol - Treinamento técnico
dc.subjectJogadores de futebol
dc.subjectJogadores de futebol
dc.subject.otherGPS technology
dc.subject.otherGPS technology
dc.subject.otherTraining control
dc.subject.otherTraining control
dc.subject.otherSession-RPE
dc.subject.otherSession-RPE
dc.titleAnalysis of relationships between different training load monitoring tools in elite U-20 soccer
dc.typeArtigo de periódico
local.citation.epage59
local.citation.issue5 Special Issue
local.citation.spage52
local.citation.volume19
local.description.resumoPurpose. The study analysed the responses from different training load monitoring tools in the elite U-20 soccer category and checked the level of association between these responses. Methods. The participants were 10 elite male soccer players (age, 18.61 ± 0.95 years; height, 176.81 ± 5.03 cm; body mass, 70.32 ± 8.41 kg). The progressive test to exhaustion assessed maximum oxygen consumption and maximum heart rate. The athletes were monitored over 15 training sessions with a heart-rate-based method (Edwards) and mechanical load indicators obtained from GPS devices (15 Hz). Results. Individual training load was calculated with the Foster’s session rating of perceived exertion (session-RPE) procedure. A significant correlation was found between session-RPE and Edwards (0.564, p < 0.05). There were no significant correlations between session-RPE and average speed (–0.161), average heart rate of the training session (–0.187), distance over 20 km/h (0.006), or number of accelerations performed in different zones (–0.194, –0.178, –0.171, –0.236). The Edwards method showed significant correlations with the total distance (0.642, p < 0.01), average heart rate (0.333, p < 0.01), and distances covered at 0–20 km/h (0.634, p < 0.01; 0.568, p < 0.01; 0.424, p < 0.01; 0.289, p < 0.01; 0.201, p < 0.015). There were no significant correlations between Edwards and average speed (0.158), distance over 20 km/h (0.014), number of accelerations performed in different zones (–0.194, –0.178, –0.171, –0.236), or number of normalized accelerations (–0.118, –0.038, –0.058, –0.035). Conclusions. The Edwards method and session-RPE are limited load monitoring tools to indicate the reality of training situations (high-intensity action with recovery intervals).
local.description.resumoPurpose. The study analysed the responses from different training load monitoring tools in the elite U-20 soccer category and checked the level of association between these responses. Methods. The participants were 10 elite male soccer players (age, 18.61 ± 0.95 years; height, 176.81 ± 5.03 cm; body mass, 70.32 ± 8.41 kg). The progressive test to exhaustion assessed maximum oxygen consumption and maximum heart rate. The athletes were monitored over 15 training sessions with a heart-rate-based method (Edwards) and mechanical load indicators obtained from GPS devices (15 Hz). Results. Individual training load was calculated with the Foster’s session rating of perceived exertion (session-RPE) procedure. A significant correlation was found between session-RPE and Edwards (0.564, p < 0.05). There were no significant correlations between session-RPE and average speed (–0.161), average heart rate of the training session (–0.187), distance over 20 km/h (0.006), or number of accelerations performed in different zones (–0.194, –0.178, –0.171, –0.236). The Edwards method showed significant correlations with the total distance (0.642, p < 0.01), average heart rate (0.333, p < 0.01), and distances covered at 0–20 km/h (0.634, p < 0.01; 0.568, p < 0.01; 0.424, p < 0.01; 0.289, p < 0.01; 0.201, p < 0.015). There were no significant correlations between Edwards and average speed (0.158), distance over 20 km/h (0.014), number of accelerations performed in different zones (–0.194, –0.178, –0.171, –0.236), or number of normalized accelerations (–0.118, –0.038, –0.058, –0.035). Conclusions. The Edwards method and session-RPE are limited load monitoring tools to indicate the reality of training situations (high-intensity action with recovery intervals).
local.identifier.orcidhttp://orcid.org/0000-0002-5572-1505
local.identifier.orcidhttps://orcid.org/ 0000-0001-9264-8872
local.identifier.orcidhttps://orcid.org/ 0000-0002-7570-2694
local.identifier.orcidhttps://orcid.org/0000-0002-2082-4344
local.identifier.orcidhttp://orcid.org/0000-0003-1011-6405
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE ESPORTES
local.publisher.initialsUFMG
local.url.externahttps://www.termedia.pl/Analysis-of-relationships-between-different-training-load-monitoring-tools-in-elite-U-20-soccer,132,34554,1,1.html

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