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Kym J. Williams, Dale W. Chapman, Elissa J. Phillips and Nick Ball

optimizes system power during a CMJ. A unique aspect of this investigation was the identification that the load that maximizes joint or system power is not a single universal load. Past findings report the bodyweight condition as the optimal load 6 , 7 ; however, the use of untrained subjects, or failure to

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Matthew I. Black, Joseph C. Handsaker, Sam J. Allen, Stephanie E. Forrester and Jonathan P. Folland

better running economy than recreational endurance runners. Due to the influence of speed on energy cost, we recommend that future investigations primarily compare energy-cost measurements at the same absolute running speed. Identification of the most economical running speed may be important to

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Ann Pulling Kuhn, Russell L. Carson, Aaron Beighle and Darla M. Castelli

assessed teachers’ emotional attachment to, identification with, and involvement in the new CSPAP leader role. As such, the referenced subject of the items was modified to correspond to the CSPAP leader role (e.g., “I would be very happy to spend the rest of my career with this organization” was changed to

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Gareth N. Sandford, Sian V. Allen, Andrew E. Kilding, Angus Ross and Paul B. Laursen

(endurance types; Table  1 ). Finally, we present the SRR construct (Figure  2 ) as a practical and easily implemented tool to support a coach’s identification of the 800-m athlete subgroup, which may aid training approaches and event specialization. Figure 2 —Speed reserve ratio (maximum sprint speed [km

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Nicolas Berryman, Iñigo Mujika, Denis Arvisais, Marie Roubeix, Carl Binet and Laurent Bosquet

with comprehensive meta-analysis ( www.meta-analysis.com ). Results The literature search allowed identification of 554 potentially relevant publications, of which 28 studies met all inclusion criteria. Exclusion criteria are detailed in Figure  1 . Sport disciplines included in this meta-analysis are

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José R. Lillo-Bevia and Jesús G. Pallarés

ergogenic or training intervention. When compared with the SRM, the mean error of the Hammer ergometer shows that, in our data, it falls in this range. Based on this study’s evaluation of 3 Hammers, a mean error of ∼2% compared with the SRM would be acceptable for talent identification purposes. Hopkins 11

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Michele Lastella, Gregory D. Roach, Grace E. Vincent, Aaron T. Scanlan, Shona L. Halson and Charli Sargent

-based (27%) and running (4%) exercises. Data extracted from the training diaries allowed identification of training and rest days. Daily data were used to quantify internal training load using the sRPE method developed by Foster et al. 21 Specifically, players recorded the start and end time for each

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Joel Garrett, Stuart R. Graham, Roger G. Eston, Darren J. Burgess, Lachlan J. Garrett, John Jakeman and Kevin Norton

, Cormack SJ . Identification of sensitive measures of recovery following external load from football match play . Int J Sports Physiol Perform . 2017 ; 12 ( 7 ): 969 – 976 . doi:10.1123/ijspp.2016-0522 10.1123/ijspp.2016-0522 23. Dalleau G , Belli A , Bourdin M , Lacour J-R . The spring

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Pedro L. Valenzuela, Guillermo Sánchez-Martínez, Elaia Torrontegi, Javier Vázquez-Carrión, Manuela González, Zigor Montalvo and Grégoire P. Millet

have conditioned these findings, and it is possible to hypothesize that different results might have been observed in other populations (eg, untrained individuals). Moreover, it must be noted that the HRV analysis performed allows the identification of a “global state of fatigue,” but it does not allow

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Arne Jaspers, Tim Op De Beéck, Michel S. Brink, Wouter G.P. Frencken, Filip Staes, Jesse J. Davis and Werner F. Helsen

given external training load. 32 , 33 The identification of key ELIs may aid in the evaluation of players’ training dose and response over time using efficiency ratios (ie, the proportion between RPE and ELIs). 34 , 35 For example, some ELIs may be perceived as less exerting at the end of preseason or