TY - JOUR
T1 - Multiple Measures are Needed to Quantify Training Loads in Professional Rugby League
AU - Weaving, D.
AU - Jones, Ben
AU - Marshall, P.
AU - Till, K.
AU - Abt, G.
PY - 2017/11/29
Y1 - 2017/11/29
N2 - This study aims to investigate the effect of training mode (conditioning and skills) on multivariate training load relationships in professional rugby league via principal component analysis. Four measures of training load (internal: heart rate exertion index, session rating of perceived exertion; external: PlayerLoad™, individualised high-speed distance) were collected from 23 professional male rugby league players over the course of one 12 wk preseason period. Training was categorised by mode (skills or conditioning) and then subjected to a principal component analysis. Extraction criteria were set at an eigenvalue of greater than 1. Modes that extracted more than 1 principal component were subject to a varimax rotation. Skills extracted 1 principal component, explaining 57% of the variance. Conditioning extracted 2 principal components (1st: internal; 2nd: external), explaining 85% of the variance. The presence of multiple training load dimensions (principal components) during conditioning training provides further evidence of the influence of training mode on the ability of individual measures of external or internal training load to capture training variance. Consequently, a combination of internal and external training-load measures is required during certain training modes.
AB - This study aims to investigate the effect of training mode (conditioning and skills) on multivariate training load relationships in professional rugby league via principal component analysis. Four measures of training load (internal: heart rate exertion index, session rating of perceived exertion; external: PlayerLoad™, individualised high-speed distance) were collected from 23 professional male rugby league players over the course of one 12 wk preseason period. Training was categorised by mode (skills or conditioning) and then subjected to a principal component analysis. Extraction criteria were set at an eigenvalue of greater than 1. Modes that extracted more than 1 principal component were subject to a varimax rotation. Skills extracted 1 principal component, explaining 57% of the variance. Conditioning extracted 2 principal components (1st: internal; 2nd: external), explaining 85% of the variance. The presence of multiple training load dimensions (principal components) during conditioning training provides further evidence of the influence of training mode on the ability of individual measures of external or internal training load to capture training variance. Consequently, a combination of internal and external training-load measures is required during certain training modes.
UR - http://www.scopus.com/inward/record.url?scp=85028565389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028565389&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/ad3dc1ec-f35a-3bb9-bdc1-ff297a14402f/
U2 - 10.1055/s-0043-114007
DO - 10.1055/s-0043-114007
M3 - Article (journal)
SN - 0172-4622
VL - 38
SP - 735
EP - 740
JO - International Journal of Sports Medicine
JF - International Journal of Sports Medicine
IS - 10
ER -