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Kevin M. Carroll, Jake R. Bernards, Caleb D. Bazyler, Christopher B. Taber, Charles A. Stuart, Brad H. DeWeese, Kimitake Sato, and Michael H. Stone

was unable to return to their baseline values for several variables (CMJH and early RFD). These findings demonstrate an impaired ability to fully recover in the RM group despite reduced training, which is indicative of nonfunctional overreaching. 42 Furthermore, these depressed performance variables

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Jahan Heidari, Jürgen Beckmann, Maurizio Bertollo, Michel Brink, K. Wolfgang Kallus, Claudio Robazza, and Michael Kellmann

monitoring recovery can best be explained by its relationship with performance and the negative consequences of too much training without appropriate recovery. Continuous nonfunctional overreaching (NFO) together with an emerging state of underrecovery characterizes a development of decreasing performance

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Jordan L. Fox, Robert Stanton, Charli Sargent, Cody J. O’Grady, and Aaron T. Scanlan

likelihood of negative outcomes such as illness, injury, and nonfunctional overreaching. 2 Workload data are typically reported using external and internal metrics, with data captured using wearable technologies, such as heart-rate monitors, and accelerometers or inertial measurement units. External

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Jose A. Rodríguez-Marroyo, Raúl Pernía, José G. Villa, and Carl Foster

state of nonfunctional overreaching. Under these circumstances, the isolated assessment of HR or PO at a fixed submaximal PO or HR, respectively, may lead to misinterpretation of cyclists’ training status. However, if the RPE is taken into consideration, an increased score at a fixed PO or a decreased

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Caoimhe Tiernan, Mark Lyons, Tom Comyns, Alan M. Nevill, and Giles Warrington

decrease in performance and may lead to nonfunctional overreaching or overtraining, while also increasing the risk of injury and illness. 2 Training load has been widely used as a monitoring marker to optimize training in many team sports such as rugby 3 and Australian football. 4 Evidence suggests that

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Jose Ignacio Priego-Quesada, Alejandro Pérez-Guarner, Alexis Gandia-Soriano, Fran Oficial-Casado, Carlos Galindo, Rosa M. Cibrián Ortiz de Anda, José David Piñeiro-Ramos, Ángel Sánchez-Illana, Julia Kuligowski, Marco A. Gomes Barbosa, Máximo Vento, and Rosario Salvador Palmer

Monitoring internal and external load is important for athletes, sport, and medical staff in order to improve training schedules and athletes’ adaptation and performance and to reduce the risk of injury and nonfunctional overreaching. 1 , 2 Although cardiovascular, biochemical, and psychological

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Filipe M. Clemente, Ana F. Silva, Cain C.T. Clark, Daniele Conte, João Ribeiro, Bruno Mendes, and Ricardo Lima

overtraining, and minimizes the risk of nonfunctional overreaching, injury, or illness. 1 Thus, owing to the obligations and potential stressors during the season, it is important to monitor player training load and well-being status fastidiously. 2 Moreover, monitoring subjective wellness may assist the

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Mònica Solana-Tramunt, Jose Morales, Bernat Buscà, Marina Carbonell, and Lara Rodríguez-Zamora

program and minimizing their risk of nonfunctional overreaching, injury, and illness. 4 In the last decade, studies have attempted to address the physiological responses of SS athletes during different types of training. 5 , 6 The variables that have been most frequently investigated include blood

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Thimo Wiewelhove, Constantin Thase, Marcel Glahn, Anthony Hessel, Christoph Schneider, Laura Hottenrott, Tim Meyer, Michael Kellmann, Mark Pfeiffer, and Alexander Ferrauti

It is assumed that optimizing recovery after strenuous exercise allows individuals to tolerate higher training and competition loads (intensity, volume, and frequency) 1 and lowers the risk of injury, illness, and/or nonfunctional overreaching. 2 In practice, various strategies are used to

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Davide Ferioli, Aaron T. Scanlan, Daniele Conte, Emanuele Tibiletti, and Ermanno Rampinini

of training 2 , 7 (ie, injury risk and nonfunctional overreaching) and the risk of undertraining. 4 , 6 Furthermore, monitoring player workloads provides insight into the precise demands imposed on players during training and games across different periods of the season. Given that basketball