ORIGINAL PAPER
The pacing of mixed martial arts sparring bouts: A secondary investigation with new analyses of previous data to support accelerometry as a potential method of monitoring pacing
1
College of Life and Natural Sciences, University of Derby, Derby, United Kingdom
2
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
3
University of Salford, Salford, United Kingdom
4
University of Central Lancashire, Preston, United Kingdom
Submission date: 2019-08-16
Acceptance date: 2019-11-29
Publication date: 2020-06-18
Hum Mov. 2020;21(4):88-96
KEYWORDS
TOPICS
ABSTRACT
Purpose:
Body-worn accelerometry has been shown to be reliable and used to measure the external load of mixed martial arts (MMA) via the Playerload metric. These measurements were only reported on a round-by-round basis, offering little indication of minute-by-minute load changes. Understanding these changes may provide a proxy measure of fatigue, readiness, and the onset of non-functional overreaching. It is also unclear as to what Playerload is measuring in MMA. This study was a secondary investigation of previously reported data to describe minute-by-minute changes in external load in MMA.
Methods:
Six male MMA competitors participated in a 3 × 5 minute sparring bout wearing a Catapult Minimax × 3, which recorded accumulated Playerload. The bouts were video-recorded. Time-motion analysis was used to determine: total active time; total inactive time; high-intensity time; low-intensity time; standing time; grounded time; striking time; non-striking time.
Results:
Bayesian repeated measures ANOVA found statistically relevant differences in accumulated Playerload for each minute of sparring (BF10 = 410) with no statistically relevant differences between winners and losers. Bayesian correlations revealed a direct, nearly perfect relationship between accumulated Playerload and total active time (r = 0.992, BF10 = 9,666). No other relationships between Playerload and time-motion analysis results were observed, despite Bayesian t-tests finding differences between standing time and grounded time (BF10 = 83.7), striking time and non-striking time (BF10 = 1,419).
Conclusions:
Playerload reflects overall active movement in MMA and measures active movement minute-by-minute changes but cannot distinguish between different modes or intensities of movement. This should be investigated further as a potential measure of fatigue and non-functional overreaching during MMA training.
Body-worn accelerometry has been shown to be reliable and used to measure the external load of mixed martial arts (MMA) via the Playerload metric. These measurements were only reported on a round-by-round basis, offering little indication of minute-by-minute load changes. Understanding these changes may provide a proxy measure of fatigue, readiness, and the onset of non-functional overreaching. It is also unclear as to what Playerload is measuring in MMA. This study was a secondary investigation of previously reported data to describe minute-by-minute changes in external load in MMA.
Methods:
Six male MMA competitors participated in a 3 × 5 minute sparring bout wearing a Catapult Minimax × 3, which recorded accumulated Playerload. The bouts were video-recorded. Time-motion analysis was used to determine: total active time; total inactive time; high-intensity time; low-intensity time; standing time; grounded time; striking time; non-striking time.
Results:
Bayesian repeated measures ANOVA found statistically relevant differences in accumulated Playerload for each minute of sparring (BF10 = 410) with no statistically relevant differences between winners and losers. Bayesian correlations revealed a direct, nearly perfect relationship between accumulated Playerload and total active time (r = 0.992, BF10 = 9,666). No other relationships between Playerload and time-motion analysis results were observed, despite Bayesian t-tests finding differences between standing time and grounded time (BF10 = 83.7), striking time and non-striking time (BF10 = 1,419).
Conclusions:
Playerload reflects overall active movement in MMA and measures active movement minute-by-minute changes but cannot distinguish between different modes or intensities of movement. This should be investigated further as a potential measure of fatigue and non-functional overreaching during MMA training.
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