Literature DB >> 32314673

The relative contribution of training intensity and duration to daily measures of training load in professional rugby league and union.

Dan Weaving1,2,3, Nicholas Dalton-Barron1,4,5, Shaun McLaren1,4, Sean Scantlebury1,4, Cloe Cummins1,6,7, Gregory Roe1,8, Ben Jones1,2,4,6,9, Clive Beggs1, Grant Abt3.   

Abstract

This study examined the relative contribution of exercise duration and intensity to team-sport athlete's training load. Male, professional rugby league (n = 10) and union (n = 22) players were monitored over 6- and 52-week training periods, respectively. Whole-session (load) and per-minute (intensity) metrics were monitored (league: session rating of perceived exertion training load [sRPE-TL], individualised training impulse, total distance, BodyLoad™; union: sRPE-TL, total distance, high-speed running distance, PlayerLoad™). Separate principal component analyses were conducted on the load and intensity measures to consolidate raw data into principal components (PC, k = 4). The first load PC captured 70% and 74% of the total variance in the rugby league and rugby union datasets, respectively. Multiple linear regression subsequently revealed that session duration explained 73% and 57% of the variance in first load PC, respectively, while the four intensity PCs explained an additional 24% and 34%, respectively. Across two professional rugby training programmes, the majority of the variability in training load measures was explained by session duration (~60-70%), while a smaller proportion was explained by session intensity (~30%). When modelling the training load, training intensity and duration should be disaggregated to better account for their between-session variability.

Keywords:  Training load; principal component analysis; rugby; time series

Mesh:

Year:  2020        PMID: 32314673     DOI: 10.1080/02640414.2020.1754725

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  2 in total

Review 1.  Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis.

Authors:  Lorena Torres-Ronda; Emma Beanland; Sarah Whitehead; Alice Sweeting; Jo Clubb
Journal:  Sports Med Open       Date:  2022-01-25

2.  A four-season study quantifying the weekly external training loads during different between match microcycle lengths in professional rugby league.

Authors:  James Parmley; Ben Jones; Tom Sawczuk; Dan Weaving
Journal:  PLoS One       Date:  2022-01-31       Impact factor: 3.240

  2 in total

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