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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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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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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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Jordan L. Fox, Robert Stanton, Aaron T. Scanlan, Masaru Teramoto and Charli Sargent

athletes. 6 Sleep offers protective mechanisms for players by reducing the likelihood of negative consequences such as illness 7 and injury, 8 typically associated with nonfunctional overreaching or insufficient recovery. In addition to safeguarding against negative outcomes of training and competition

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Davide Ferioli, Andrea Bosio, Johann C. Bilsborough, Antonio La Torre, Michele Tornaghi and Ermanno Rampinini

The quantification of training load (TL) is a common practice in basketball, with the aim to ensure that players achieve an adequate training stimulus and to reduce the negative consequences of training (ie, risk of injury and nonfunctional overreaching) and the chances of undertraining. 1 , 2 The

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Piia Kaikkonen, Esa Hynynen, Arto Hautala and Juha P. Ahtiainen

the balance between training and recovery has not been optimal, resulting in nonfunctional overreaching, or overtraining. 7 , 8 , 17 Therefore, it could be hypothesized that a significant increase in TL may also predict a similar outcome in resting HRV during a resistance training program. In this

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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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Jinger S. Gottschall, Joshua J. Davis, Bryce Hastings and Heather J. Porter

:10.1177/1941738111434406 23016079 10.1177/1941738111434406 11. Matos NF , Winsley RJ , Williams CA . Prevalence of nonfunctional overreaching/overtraining in young English athletes . Med Sci Sports Exerc . 2011 ; 43 ( 7 ): 1287 – 1294 . PubMed ID: 21131861 doi:10.1249/MSS.0b013e318207f87b

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Nick Dobbin, Cari Thorpe, Jamie Highton and Craig Twist

possible mechanisms, such as hyperactivation of the parasympathetic nervous system in response to nonfunctional overreaching. 26 Changes in perceived well-being during the tournament were consistent with the previous studies of intensified competition periods. 7 , 9 We observed a small reduction in total

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Diogo V. Leal, Lee Taylor and John Hough

weeks) facilitates a “supercompensatory” performance-enhancing effect (referred to as functional overreaching). 2 , 3 Without sufficient recovery from periods of overload, “nonfunctional overreaching” (NFOR) can occur (requiring weeks/months for full recovery) with NFOR complicit in the more protracted