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Durva Vahia, Adam Kelly, Harry Knapman and Craig A. Williams

nonfunctional overreaching and overtraining compared with recreational players ( 22 ). The Long-Term Athlete Development model classifies players aged 16–18 as in the “training to compete” phase of development with highly structured training ( 12 , 21 ). At this age, players are still developing their physical

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Miranda J. Menaspà, Paolo Menaspà, Sally A. Clark and Maurizio Fanchini

future. Int J Sports Physiol Perform . 2017 ; 12 ( suppl 2 ): 22 – 28 . PubMed ID: 28253038 doi:10.1123/IJSPP.2016-0388 10.1123/IJSPP.2016-0388 23. Piacentini MF , Meeusen R . An online training-monitoring system to prevent nonfunctional overreaching . Int J Sports Physiol Perform . 2015 ; 10

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Roberto Baldassarre, Marco Bonifazi, Romain Meeusen and Maria Francesca Piacentini

-distance swimmers . Eur J Appl Physiol . 2005 ; 94 ( 5–6 ): 697 – 704 . PubMed ID: 15887025 doi:10.1007/s00421-005-1337-0 15887025 10.1007/s00421-005-1337-0 6. Piacentini MF , Meeusen R . An online training-monitoring system to prevent nonfunctional overreaching . Int J Sports Physiol Perform . 2015

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Travis Anderson, Amy R. Lane and Anthony C. Hackney

negative state of nonfunctional overreaching, 1 with continued overloads resulting in the overtraining syndrome. 3 Therefore, a balance exists between optimizing performance outcomes in a dose–response manner and preventing the negative consequences of overtraining. In this context, athletes and coaches

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Twan ten Haaf, Selma van Staveren, Danilo Iannetta, Bart Roelands, Romain Meeusen, Maria F. Piacentini, Carl Foster, Leo Koenderman, Hein A.M. Daanen and Jos J. de Koning

An imbalance between exercise load and recovery time results in maladaptation to physical training. This process is termed overtraining, which can lead to functional overreaching (FOR) or nonfunctional overreaching (NFOR) or overtraining syndrome. 1 , 2 FOR is sometimes intentionally induced in

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Marcus J. Colby, Brian Dawson, Peter Peeling, Jarryd Heasman, Brent Rogalski, Michael K. Drew and Jordan Stares

exercised with this method due to mathematical coupling. 25 Table 1 Quantification of High-Risk Scenarios and Supporting Literature High-risk scenario Calculation Supporting literature Count of sessions exposed for the past “n” weeks Overload/nonfunctional overreaching  ACWR spike Very high ACWR as

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

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 study, an

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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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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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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