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Commentaries on Viewpoint: Resistance training and exercise tolerance during high-intensity exercise: moving beyond just running economy and muscle strength
Author(s) -
Rômulo Bertuzzi,
Arthur F. Gáspari,
Lucas Rosiello Trojbicz,
Marcos David SilvaCavalcante,
Adriano Eduardo LimaSilva,
François Billaut,
Olivier Girard,
Grégoire P. Millet,
Arthur Henrique Bossi,
James Hopker,
Domingos R. Pandeló,
Timothy J. Fulton,
Hunter L. Paris,
Robert F. Chapman,
Gregory J. Grosicki,
Kevin A. Murach,
Thomas J. Hureau,
Stéphane Dufour,
Fabrice Favret,
Nicholas T. Kruse,
Andrea Nicolò,
Massimo Sacchetti,
Marinei Lopes Pedralli,
Fabiano Aparecido Pinheiro,
Valmor Tricoli,
Cayque Brietzke,
Flávio Oliveira Pires,
Gareth N. Sandford,
Simon Pearson,
Andrew E. Kilding,
Angus Ross,
Paul B. Laursen,
Anderson Luiz Bezerra da Silveira,
Emerson L. Olivares,
Fernando A. C. Seara,
Rodrigo MigueldosSantos,
Thássio Mesquita,
Sudarshan R. Nelatury,
Mary Vagula
Publication year - 2018
Publication title -
journal of applied physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.253
H-Index - 229
eISSN - 8750-7587
pISSN - 1522-1601
DOI - 10.1152/japplphysiol.01064.2017
Subject(s) - resistance training , running economy , training (meteorology) , physical medicine and rehabilitation , muscle strength , strength training , exercise physiology , physical therapy , physical exercise , intensity (physics) , medicine , vo2 max , heart rate , physics , blood pressure , quantum mechanics , meteorology
TO THE EDITOR: A consistent increase in endurance performance has often been observed after resistance training (RT) (4). Based on the critical power (CP) concept, Denadai and Greco (1) recently proposed an interesting model to explain this RT-induced improvement in endurance performance. According to these authors, the gains (35– 60%) in the curvature constant of the power-duration hyperbola (W=) could explain the performance improvements during constant-workload exercises performed above the CP after a RT program. However, it is important to highlight that during most athletic events, the intensity of the exercise is not previously fixed, but self-selected by the athletes. The intensity distribution during middleand long-distance running races has often been characterized by a U-shaped pacing profile, with start and finish intensities being higher than in the middle part of the race (5). This U-shaped pacing makes the W= use more complex, because athletes might switch from one exercise intensity domain to another throughout the race (3). This could indicate that the increase in W= with RT might be more relevant for some specific parts of the race, in which athletes perform at intensities above the CP, such as during the fast start and the final sprint. This suggestion is in agreement with previous findings showing that RT can counteract fatigue during the last part of a running race (2). Therefore, further research in this exciting area is necessary to elucidate the influence of RT on W= and its possible relationship with changes in specific parts of self-paced, real races.

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