Relationships between model-predicted and actual match-play exercise-intensity performance in professional Australian footballers during a preseason training macrocycle

Journal article


Graham, Stuart R., Cormack, Stuart, Parfitt, Gaynor and Eston, Roger. (2019). Relationships between model-predicted and actual match-play exercise-intensity performance in professional Australian footballers during a preseason training macrocycle. International Journal of Sports Physiology and Performance. 14(2), pp. 232-238. https://doi.org/10.1123/ijspp.2017-0752
AuthorsGraham, Stuart R., Cormack, Stuart, Parfitt, Gaynor and Eston, Roger
Abstract

Purpose: To assess and compare the validity of internal and external Australian football (AF) training-load measures for predicting preseason variation of match-play exercise intensity (MEI sim/min) using a variable dose–response model. Methods: A total of 21 professional male AF players completed an 18-wk preseason macrocycle. Preseason internal training load was quntified using the session rating-of-perceived-exertion method (sRPE) and external load from satellite (as distance [Dist] and high-speed distance [HS Dist]) and accelerometer (Player Load [PL]) data. Using a training-impulse (TRIMPs) calculation, external load expressed in arbitrary units was represented as TRIMPsDist, TRIMPsHSDist, and TRIMPsPL. Preseason training load and MEI sim/min data were applied to a variable dose–response model, which provided estimates of MEI sim/min. Model estimates of MEI sim/min were correlated with actual measures from each match-play drill performed during the preseason macrocycle. Magnitude-based inferences (effect size [90% confidence interval]) were calculated to determine practical differences in the precision of MEI sim/min estimates using each of the internal- and external-load inputs. Results: Estimates of MEI sim/min demonstrated very large and large associations with actual MEI sim/min with models constructed from external and internal training inputs (r [90% confidence interval]; TRIMPsDist .73 [.72–.74], TRIMPsPL .72 [.71–.73], and sRPESkills .67 [.56–.78]). There were trivial differences in the precision of MEI sim/min estimates between models constructed from TRIMPsDist and TRIMPsPL and between internal input methods. Conclusions: Variable dose-response models from multiple training-load inputs can predict the within-individual variation of MEI sim/min across an entire preseason macrocycle. Models informed by external training inputs (TRIMPsDist and TRIMPsPL) exhibited predictive power comparable to those of sRPESkills models.

Keywordsinternal training load; external training load; variable dose–response model
Year2019
JournalInternational Journal of Sports Physiology and Performance
Journal citation14 (2), pp. 232-238
PublisherHuman Kinetics, Inc.
ISSN1555-0265
Digital Object Identifier (DOI)https://doi.org/10.1123/ijspp.2017-0752
Scopus EID2-s2.0-85060620268
Open accessPublished as green open access
Page range232-238
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Online2019
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Deposited17 May 2021
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