10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation

Del Rosso, Sebastián, Pinho Souza, Danilo, Muñoz, Fabián, Behm, David G., Foster, Carl, Boullosa, Daniel, and UNSPECIFIED (2021) 10 km performance prediction by metabolic and mechanical variables: influence of performance level and post-submaximal running jump potentiation. Journal of Sports Sciences, 39 (10). pp. 1114-1126.

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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.

Item ID: 67016
Item Type: Article (Research - C1)
ISSN: 1466-447X
Keywords: aerobic thresholds, Endurance, maximal aerobic speed, post-activation performance enhancement, strength
Copyright Information: © 2020 Informa UK Limited, trading as Taylor & Francis Group
Date Deposited: 29 Mar 2022 04:06
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