load monitoring models need to be prescriptive in nature by linking the training dose with the athlete’s response and performance. Microtechnology has allowed the monitoring and evaluation of external work performed by athletes. However, previous work 4 , 5 has shown variability in the accuracy of
Simon J. MacLeod, Chris Hagan, Mikel Egaña, Jonny Davis and David Drake
James J. Malone, Arne Jaspers, Werner Helsen, Brenda Merks, Wouter G.P. Frencken and Michel S. Brink
.1080/02640414.2011.583671 16. Vanrenterghem J , Nedergaard NJ , Robinson MA , Drust B . Training load monitoring in team sports: a novel framework separating physiological and biomechanical load-adaptation pathways . Sport Med . 2017 ; 47 ( 11 ): 2135 – 2142 . PubMed doi:10.1007/s40279-017-0714-2 10.1007/s40279-017-0714-2
David L. Carey, Justin Crow, Kok-Leong Ong, Peter Blanch, Meg E. Morris, Ben J. Dascombe and Kay M. Crossley
training-load monitoring become available. 5 , 6 , 10 – 12 Optimization is the task of finding a set of values (decision variables) that maximize an objective function (goal) and satisfy a set of constraints. Optimizing training loads has been explored in studies of tapering 8 and to generate training
Michely V. Andreatta, Victor M. Curty, João Victor S. Coutinho, Miguel Ângelo A. Santos, Paula F. Vassallo, Nuno F. de Sousa and Valério G. Barauna
to RE intensity, which may contribute to training-load monitoring. Although more study is necessary before the routine use of cfDNA in clinical and sporting settings, cfDNA levels seem to be a promising biomarker and deserve further studies. Acknowledgments This study was supported by Fundação de
INTERNATIONAL SPORT COACHING JOURNAL
DIGEST VOLUME 5, Issue #2
that typically follow rapid growth, these players should be considered an important group for training load monitoring and injury prevention strategies. This research study provides a worrying indication that the increased professionalisation of youth sport may result in an increase in negative
Dean J. McNamara, Tim J. Gabbett, Peter Blanch and Luke Kelly
athletes and does not require a coach or sport scientist to be present at the time of data collection. This method of load monitoring is important in cricket, as players often train in decentralized programs or are required to participate on various domestic teams across the world within the same
Adam Douglas, Michael A. Rotondi, Joseph Baker, Veronica K. Jamnik and Alison K. Macpherson
that previous literature has focused on mean and peak HR values instead of a cumulative load measure such as TRIMP. The current study chose to measure TRIMP as it has been shown to be a reliable measure of both intensity and internal training load in previously published work with team-based load
Dan Weaving, Clive Beggs, Nicholas Dalton-Barron, Ben Jones and Grant Abt
.1136/bjsports-2016-096581 9. Vanrenterghem J , Nedergaard NJ , Robinson MA , Drust B . Training load monitoring in team sports: a novel framework separating physiological and biomechanical load adaptation pathways . Sports Med . 2017 ; 47 ( 11 ): 2135 – 2142 . PubMed ID: 28283992 doi:10.1007/s
Joseph O.C. Coyne, Sophia Nimphius, Robert U. Newton and G. Gregory Haff
Med . doi:10.1136/bjsports-2018-099422 30792258 8. Coyne JOC , Gregory Haff G , Coutts AJ , Newton RU , Nimphius S . The current state of subjective training load monitoring—a practical perspective and call to action . Sports Med Open . 2018 ; 4 ( 1 ): 58 . PubMed ID: 30570718 doi:10
Daniel Bok and Igor Jukić
between matches might also contribute to the daily [CK]. Between-match variability was also higher than previously reported in the study analyzing 4 competitive games. 9 The greatest between-match CV (60.7%) was observed on G−1, so more careful load monitoring and management strategies are necessary to
