The case for adopting a multivariate approach to optimize training load quantification in team sports

Weaving, Dan; Jones, Ben; Till, Kevin; Abt, Grant; Beggs, Clive

doi:10.3389/fphys.2017.01024

The case for adopting a multivariate approach to optimize training load quantification in team sports

Weaving, Dan; Jones, Ben; Till, Kevin; Abt, Grant; Beggs, Clive

Authors

Dan Weaving

Ben Jones

Kevin Till

Professor Grant Abt G.Abt@hull.ac.uk
Professor of Exercise Physiology

Clive Beggs

Citation

Weaving, D., Jones, B., Till, K., Abt, G., & Beggs, C. (2017). The case for adopting a multivariate approach to optimize training load quantification in team sports. Frontiers in Physiology, 8(DEC), Article 1024. https://doi.org/10.3389/fphys.2017.01024

Acceptance Date	Nov 27, 2017
Online Publication Date	Dec 12, 2017
Publication Date	Dec 12, 2017
Deposit Date	Nov 30, 2017
Publicly Available Date	Dec 12, 2017
Journal	Frontiers in physiology
Electronic ISSN	1664-042X
Publisher	Frontiers Media
Peer Reviewed	Peer Reviewed
Volume	8
Issue	DEC
Article Number	1024
DOI	https://doi.org/10.3389/fphys.2017.01024
Keywords	Multivariate analysis; Global Positioning Systems (GPS); External training load; Training; Heart rate; Session rating of perceived exertion; Training impulse; Reductionism; Performance monitoring; Orthogonal analysis
Public URL	https://hull-repository.worktribe.com/output/479723

Files

Published article (192 Kb)
PDF

Copyright Statement
© 2017 Weaving, Jones, Till, Abt and Beggs. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.