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Susan Vrijkotte, Romain Meeusen, Cloe Vandervaeren, Luk Buyse, Jeroen van Cutsem, Nathalie Pattyn and Bart Roelands

identification of target letter in a non-search task . Percept Psychophys . 1974 ; 16 ( 1 ): 143 – 149 . doi:10.3758/BF03203267 10.3758/BF03203267 12. Morgan WP , Brown DR , Raglin JS , O’Connor PJ , Ellickson KA . Psychological monitoring of overtraining and staleness . Br J Sports Med . 1987

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Rachael L. Thurecht and Fiona E. Pelly

questionnaire for broader application in athlete populations. Practical Implications Practitioners and sports dietitians working with large and diverse sport programs could use the AFCQ for screening athletes for targeted nutrition education. An example of this may be the identification of athletes who may be

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Adam J. Zemski, Shelley E. Keating, Elizabeth M. Broad, Damian J. Marsh, Karen Hind and Gary J. Slater

 al., 2015 ), can facilitate the identification of true changes and thus influence interpretation of results. This would then enable practitioners to further personalize dietary and/or training interventions in the pursuit of improved performance outcomes. There are a number of considerations to make when

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Blake D. McLean, Donald Strack, Jennifer Russell and Aaron J. Coutts

indoor tracking technologies (eg, local positioning systems [LPSs]), compared with outdoor sports that have utilized GPS technology. Developments in indoor LPSs, including technologies such as radio frequency identification (RFID) and optical camera tracking, are now used throughout the NBA. These LPS

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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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Richard Johnston, Roisin Cahalan, Laura Bonnett, Matthew Maguire, Alan Nevill, Philip Glasgow, Kieran O’Sullivan and Thomas Comyns

support the International Olympic Committee consensus statement, 16 which highlights the importance of using internal and cumulative TL factors in the identification of IP risk. A history of previous IP was found to be significantly associated with new IP risk, whereas ESP sex and age were not associated

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Sean H. Kerr, Tiffanye M. Vargas, Mimi Nakajima and Jim Becker

Warner coaches signed an informed consent document to participate in the study, they were given a demographic questionnaire and the RoCKAS questionnaire. Responses were kept completely confidential and no personal identification was utilized in the research. The questionnaire took 30 min to complete. The

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Steffi L. Colyer, Keith A. Stokes, James L.J. Bilzon, Danny Holdcroft and Aki I.T. Salo

phase and final race time in skeleton performance . J Strength Cond Res . 2006 ; 20 : 579 – 583 . PubMed 16937971 6. Bullock N , Gulbin JP , Martin DT , Ross A , Holland T , Marino F . Talent identification and deliberate programming in skeleton: ice novice to Winter Olympian in 14

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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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Ida A. Heikura, Louise M. Burke, Dan Bergland, Arja L.T. Uusitalo, Antti A. Mero and Trent Stellingwerff

January 31,2016. 23. Melin A , Tornberg AB , Skouby S , et al . The LEAF questionnaire: a screening tool for the identification of female athletes at risk for the female athlete triad . Br J Sports Med . 2014 ; 48 ( 7 ): 540 – 545 . PubMed ID: 24563388 doi:10.1136/bjsports-2013