10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation.
J Sports Sci
; 39(10): 1114-1126, 2021 May.
Article
em En
| MEDLINE
| ID: mdl-33393434
ABSTRACT
We aimed to develop models to explain performance and pacing during a 10-km running trial.Well-trained runners (n = 27, VO2max = 62.3 ± 4.5 mL·kg-1·min-1) divided into High (HPG, T10km = 33.9 ± 1.2 min, n = 9) and Low (LPG, T10km = 37.9 ± 1.2 min, n = 18) performers completed, in different days, the half squat and loaded squat jump (LSJ) exercises (1st day), an incremental test and a submaximal running bout to induce jump potentiation (2nd day), and a 10-km time trial (3rd day). Pacing was significantly different between performance groups (p < 0.05). The inclusion of mechanical and metabolic variables increased the explained variance in performance (LPG, r2adj = 0.87, p < 0.001; HPG, r2adj = 0.99 p < 0.01). Analysis between potentiation and non-potentiation groups revealed significant differences for the speed in the last 400 m (p = 0.02), and in the final RPE (p = 0.03). Performance and pacing can be explained by combining metabolic and mechanical variables and should be controlled by performance level. The relationship between jump potentiation and speed during the last 400 m may suggest that post-activation performance enhancement could be involved in pacing regulation.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Resistência Física
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Corrida
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Modelos Lineares
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Metabolismo Energético
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Adolescent
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Adult
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Humans
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Male
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article