Playerload variables: sensitive to changes in direction and not related to collision workloads in rugby league match play
Article
Article Title | Playerload variables: sensitive to changes in direction and not related to collision workloads in rugby league match play |
---|---|
ERA Journal ID | 40358 |
Article Category | Article |
Authors | Hulin, Billy T. (Author), Gabbett, Tim J. (Author), Johnston, Rich D. (Author) and Jenkins, David G. (Author) |
Journal Title | International Journal of Sports Physiology and Performance |
Journal Citation | 13 (9), pp. 1136-1142 |
Number of Pages | 7 |
Year | 2018 |
Publisher | Human Kinetics Publishers |
Place of Publication | United States |
ISSN | 1555-0265 |
1555-0273 | |
Digital Object Identifier (DOI) | https://doi.org/10.1123/ijspp.2017-0557 |
Web Address (URL) | https://journals.humankinetics.com/doi/10.1123/ijspp.2017-0557 |
Abstract | PURPOSE: To determine (1) how change-of-direction (COD) workloads influence PlayerLoad (PL) variables when controlling total distance covered and (2) relationships among collision workloads and PL variables during rugby league match play. METHODS: Participants completed 3 protocols (crossover design) consisting of 10 repetitions of a 60-m effort in 15 s. The difference between protocols was the COD demands required to complete 1 repetition: no COD (straight line), 1 degrees x 180 degrees COD, or 3 degrees x 180 degrees COD. During rugby league matches, relationships among collision workloads, triaxial vector-magnitude PlayerLoad (PLVM), anteroposterior + mediolateral PL (PL2D), and PLVM accumulated at locomotor velocities below 2 m.s(-1) (ie, PLSLOW) were examined using Pearson correlations (r) with coefficients of determination (R(2)). RESULTS: Comparing 3 degrees x 180 degrees COD to straight-line drills, PLVM.min(-1) (d = 1.50 +/- 0.49, large, likelihood = 100%, almost certainly), PL2D.min(-1) (d = 1.38 +/- 0.53, large, likelihood = 100%, almost certainly), and PLSLOW.min(-1) (d = 1.69 +/- 0.40, large, likelihood = 100%, almost certainly) were greater. Collisions per minute demonstrated a distinct (ie, R(2) < .50) relationship from PLVM.min(-1) (R(2) = .30, r = .55) and PL2D.min(-1) (R(2) = .37, r = .61). Total distance per minute demonstrated a very large relationship with PLVM.min(-1) (R(2) = .62, r = .79) and PL2D.min(-1) (R(2) = .57, r = .76). CONCLUSIONS: PL variables demonstrate (1) large increases as COD demands intensify, (2) separate relationships from collision workloads, and (3) moderate to very large relationships with total distance during match play. PL variables should be used with caution to measure collision workloads in team sport. |
Keywords | training load, monitoring, sport medicine |
ANZSRC Field of Research 2020 | 420799. Sports science and exercise not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Queensland |
Institute for Resilient Regions | |
Australian Catholic University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q53wq/playerload-variables-sensitive-to-changes-in-direction-and-not-related-to-collision-workloads-in-rugby-league-match-play
Download files
184
total views360
total downloads0
views this month0
downloads this month