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http://hdl.handle.net/1843/41036
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DC Field | Value | Language |
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dc.creator | Guilherme de Sousa Pinheiro | pt_BR |
dc.creator | Roberto Chiari Quintão | pt_BR |
dc.creator | Igor Oliveira Custódio | pt_BR |
dc.creator | David Casamichana | pt_BR |
dc.creator | Bruno Pena Couto | pt_BR |
dc.date.accessioned | 2022-04-14T18:16:48Z | - |
dc.date.available | 2022-04-14T18:16:48Z | - |
dc.date.issued | 2018 | - |
dc.citation.volume | 19 | pt_BR |
dc.citation.issue | 5 Special Issue | pt_BR |
dc.citation.spage | 52 | pt_BR |
dc.citation.epage | 59 | pt_BR |
dc.identifier.doi | https://doi.org/10.5114/hm.2018.81014 | pt_BR |
dc.identifier.issn | 1899-1955 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/1843/41036 | - |
dc.description.resumo | Purpose. 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). | pt_BR |
dc.description.resumo | Purpose. 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). | pt_BR |
dc.description.sponsorship | CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | pt_BR |
dc.description.sponsorship | Outra Agência | pt_BR |
dc.format.mimetype | pt_BR | |
dc.language | eng | pt_BR |
dc.publisher | Universidade Federal de Minas Gerais | pt_BR |
dc.publisher.country | Brasil | pt_BR |
dc.publisher.department | EEF - DEPARTAMENTO DE ESPORTES | pt_BR |
dc.publisher.initials | UFMG | pt_BR |
dc.relation.ispartof | Human Movement | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.subject | GPS technology | pt_BR |
dc.subject | GPS technology | pt_BR |
dc.subject | Training control | pt_BR |
dc.subject | Training control | pt_BR |
dc.subject | Session-RPE | pt_BR |
dc.subject | Session-RPE | pt_BR |
dc.subject.other | Futebol - Treinamento técnico | pt_BR |
dc.subject.other | Futebol - Treinamento técnico | pt_BR |
dc.subject.other | Jogadores de futebol | pt_BR |
dc.subject.other | Jogadores de futebol | pt_BR |
dc.title | Analysis of relationships between different training load monitoring tools in elite U-20 soccer | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.url.externa | https://www.termedia.pl/Analysis-of-relationships-between-different-training-load-monitoring-tools-in-elite-U-20-soccer,132,34554,1,1.html | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0002-5572-1505 | pt_BR |
dc.identifier.orcid | https://orcid.org/ 0000-0001-9264-8872 | pt_BR |
dc.identifier.orcid | https://orcid.org/ 0000-0002-7570-2694 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-2082-4344 | pt_BR |
dc.identifier.orcid | http://orcid.org/0000-0003-1011-6405 | pt_BR |
Appears in Collections: | Artigo de Periódico |
Files in This Item:
File | Description | Size | Format | |
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Analysis of relationships between different training load monitoring tools in elite U-20 soccer.pdf | 3.03 MB | Adobe PDF | View/Open |
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