Matthew Weston1, Jason Siegler2, Andrew Bahnert3, James McBrien3, Ric Lovell2. 1. Sport and Exercise Subject Group, School of Social Sciences and Law, Teesside University, United Kingdom. Electronic address: m.weston@tees.ac.uk. 2. School of Science and Health, University of Western Sydney, Australia. 3. Greater Western Sydney Giants, Australia.
Abstract
OBJECTIVES: To investigate the application of differential ratings of perceived exertion for the examination of internal load during Australian Football League (AFL) matches. DESIGN: Single cohort, observational study. METHODS: Using the centiMax rating of perceived exertion (RPE) scale, 26 professional AFL players provided ratings for match exertion (RPE-M), along with differential ratings for breathlessness (RPE-B), leg exertion (RPE-L), and technical demand (RPE-T) following 129 matches (5.0 ± 1.6 matches per player). Global positioning satellite (GPS) and accelerometer measures were also collected. Data were analysed using magnitude-based inferences. RESULTS: RPE scores were 93.0 ± 8.2 AU (RPE-M), 89.0 ± 11.0 AU (RPE-B), 91.5 ± 9.8 AU (RPE-L), and 87.0 ± 10.0 AU (RPE-T). There was a most likely small difference between RPE-L and RPE-T (5.5%; ± 90% confidence limits 1.9%), a likely small difference between RPE-L and RPE-B (3.5%; ± 1.5%) and a possibly small difference between RPE-B and RPE-T (1.9%; ± 1.9%). Within-player correlations between RPE and GPS measures were small for RPE-M (r = 0.14-0.28), unclear to small for RPE-B (r = 0.06-0.24) and unclear to moderate for RPE-L (r = 0.06-0.37). Differential RPE's combined to explain 76% of the variance in RPE-M. For all RPE scores, within-player variability was moderate to high (typical error: 7.9-12.4%), and the thresholds for a likely between-match change were 8.8-13.7%. CONCLUSIONS: As differential RPE's represent distinct sensory inputs, the collection of these scores facilitate the interpretation of internal match loads and therefore represent a valuable addition to match data collection procedures. Moderate to high within-player variability should be considered when interpreting between-match changes in all RPE scores.
OBJECTIVES: To investigate the application of differential ratings of perceived exertion for the examination of internal load during Australian Football League (AFL) matches. DESIGN: Single cohort, observational study. METHODS: Using the centiMax rating of perceived exertion (RPE) scale, 26 professional AFL players provided ratings for match exertion (RPE-M), along with differential ratings for breathlessness (RPE-B), leg exertion (RPE-L), and technical demand (RPE-T) following 129 matches (5.0 ± 1.6 matches per player). Global positioning satellite (GPS) and accelerometer measures were also collected. Data were analysed using magnitude-based inferences. RESULTS: RPE scores were 93.0 ± 8.2 AU (RPE-M), 89.0 ± 11.0 AU (RPE-B), 91.5 ± 9.8 AU (RPE-L), and 87.0 ± 10.0 AU (RPE-T). There was a most likely small difference between RPE-L and RPE-T (5.5%; ± 90% confidence limits 1.9%), a likely small difference between RPE-L and RPE-B (3.5%; ± 1.5%) and a possibly small difference between RPE-B and RPE-T (1.9%; ± 1.9%). Within-player correlations between RPE and GPS measures were small for RPE-M (r = 0.14-0.28), unclear to small for RPE-B (r = 0.06-0.24) and unclear to moderate for RPE-L (r = 0.06-0.37). Differential RPE's combined to explain 76% of the variance in RPE-M. For all RPE scores, within-player variability was moderate to high (typical error: 7.9-12.4%), and the thresholds for a likely between-match change were 8.8-13.7%. CONCLUSIONS: As differential RPE's represent distinct sensory inputs, the collection of these scores facilitate the interpretation of internal match loads and therefore represent a valuable addition to match data collection procedures. Moderate to high within-player variability should be considered when interpreting between-match changes in all RPE scores.
Authors: Shaun J McLaren; Tom W Macpherson; Aaron J Coutts; Christopher Hurst; Iain R Spears; Matthew Weston Journal: Sports Med Date: 2018-03 Impact factor: 11.136
Authors: Asier Los Arcos; Juan Sebastián Vázquez; Juan Martín; Javier Lerga; Felipe Sánchez; Federico Villagra; Javier J Zulueta Journal: PLoS One Date: 2015-09-02 Impact factor: 3.240