info:eu-repo/semantics/article
10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation
Fecha
2021-01Registro en:
del Rosso, Sebastián; Souza, Danilo Pinho; Muñoz, Fabian Leonardo; Behm, David G.; Foster, Carl; et al.; 10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation; Taylor & Francis Ltd; Journal Of Sports Sciences; 39; 10; 1-2021; 1114-1126
0264-0414
1466-447X
CONICET Digital
CONICET
Autor
del Rosso, Sebastián
Souza, Danilo Pinho
Muñoz, Fabian Leonardo
Behm, David G.
Foster, Carl
Boullosa, Daniel
Resumen
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.