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Guro Strøm Solli, Espen Tønnessen, and Øyvind Sandbakk

, 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 10.1249/MSS.0b013e318207f87b 21131861 13. Armstrong LE , VanHeest JL . The unknown mechanism

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Luis A. Marco-Contreras, Beatriz Bachero-Mena, David Rodríguez-Rosell, and Juan J. González-Badillo

individual responses to training, assessing fatigue and recovery, and minimizing the risk of nonfunctional overreaching or injury. 6 , 7 Vertical jump tests have been widely proposed as an efficient and immediate assessment tool for lower limbs explosive strength, 8 as well as to monitor neuromuscular

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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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Øyvind Sandbakk, Thomas Haugen, and Gertjan Ettema

Training load management is crucial for the optimization of athlete training responses, competition readiness, and minimizing the risk of injury, illness, and nonfunctional overreaching. 1 Training load is traditionally determined by a series of components, such as training volume (duration

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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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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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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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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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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