ArticleBiology of sport2023
A novel application of entropy analysis for assessing changes in movement variability during cumulative tackles in young elite rugby league players.
Article in Biology of sport, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Residual Neuromuscular Deficits Following Anterior Cruciate Ligament Reconstruction Revealed by Phase-Specific Force, Electromyographic Complexity and Inter-Limb Asymmetries in Flywheel Squat.Sensors (Basel, Switzerland) · 2026Article
- Analysis of Movement Variability During the Spike Jump Action in Young and High-Level Female Volleyball Players: Differences Between Categories and Playing Positions.Journal of functional morphology and kinesiology · 2025Article
- Comparison of Mean Values and Entropy in Accelerometry Time Series from Two Microtechnology Sensors Recorded at 100 vs. 1000 Hz During Cumulative Tackles in Young Elite Rugby League Players.Sensors (Basel, Switzerland) · 2024Article
- Adding mechanical vibration to a half squat with different ballasts and rhythms increases movement variability.PloS one · 2023Article
- Decision making influences movement variability and performance of high-level female football players in an elastic resistance task.Frontiers in psychology · 2023Article
- Are change of direction speed and agility different abilities from time and coordinative perspectives?PloS one · 2023Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to identify between-position (forwards vs. backs) differences in movement variability in cumulative tackle events training during both attacking and defensive roles. Eleven elite adolescent male rugby league players volunteered to participate in this study (mean ± SD, age; 18.5 ± 0.5 years, height; 179.5 ± 5.0 cm, body mass; 88.3 ± 13.0 kg). Participants performed a drill encompassing four blocks of six tackling (i.e. tackling an opponent) and six tackled (i.e. being tackled by an opponent while carrying a ball) events (i.e. 48 total tackles) while wearing a micro-technological inertial measurement unit (WIMU, Realtrack Systems, Spain). The acceleration data were used to calculate sample entropy (SampEn) to analyse the movement variability during tackles performance. In tackling actions SampEn showed significant between-position differences in block 1 (p = 0.0001) and block 2 (p = 0.0003). Significant between-block differences were observed in backs (block 1 vs 3, p = 0,0021; and block 1 vs 4, p = 0,0001) but not in forwards. When being tackled, SampEn showed significant between-position differences in block 1 (p = 0.0007) and block 3 (p = 0.0118). Significant between-block differences were only observed for backs in block 1 vs 4 (p = 0,0025). Movement variability shows a progressive reduction with cumulative tackle events, especially in backs and when in the defensive role (tackling). Forwards present lower movement variability values in all blocks, particularly in the first block, both in the attacking and defensive role. Entropy measures can be used by practitioners as an alternative tool to analyse the temporal structure of variability of tackle actions and quantify the load of these actions according to playing position.
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