scholarly journals Influence of Contextual Factors, Technical Performance, and Movement Demands on the Subjective Task Load Associated With Professional Rugby League Match-Play

2020 ◽  
pp. 1-9
Author(s):  
Thomas Mullen ◽  
Craig Twist ◽  
Matthew Daniels ◽  
Nicholas Dobbin ◽  
Jamie Highton
Keyword(s):  
Contextual Factors ◽  
Rugby League ◽  
Match Play ◽  
Final Model ◽  
Task Load ◽  
Technical Performance ◽  
Mental Demand ◽  
Technical Errors ◽  
Perception Of Effort ◽  
Data Points

Purpose: To identify the association between several contextual match factors, technical performance, and external movement demands on the subjective task load of elite rugby league players. Methods: Individual subjective task load, quantified using the National Aeronautics and Space Administration Task Load Index (NASA-TLX), was collected from 29 professional rugby league players from one club competing in the European Super League throughout the 2017 season. The sample consisted of 26 matches (441 individual data points). Linear mixed modeling revealed that various combinations of contextual factors, technical performance, and movement demands were associated with subjective task load. Results: Greater number of tackles (effect size correlation ± 90% confidence intervals; η2 = .18 ± .11), errors (η2 = .15 ± .08), decelerations (η2 = .12 ± .08), increased sprint distance (η2 = .13 ± .08), losing matches (η2 = .36 ± .08), and increased perception of effort (η2 = .27 ± .08) led to most likely–very likely increases in subjective total task load. The independent variables included in the final model for subjective mental demand (match outcome, time played, and number of accelerations) were unclear, excluding a likely small correlation with technical errors (η2 = .10 ± .08). Conclusions: These data provide a greater understanding of the subjective task load and their association with several contextual factors, technical performance, and external movement demands during rugby league competition. Practitioners could use this detailed quantification of internal loads to inform recovery sessions and current training practices.

scholarly journals Influence of Physical Characteristics and Match Outcome on Technical Errors During Rugby League Match Play

2019 ◽  
Vol 14 (8) ◽  
pp. 1043-1049
Author(s):  
Rich D. Johnston
Keyword(s):  
Bayes Factor ◽  
Rugby League ◽  
Physical Characteristics ◽  
Lower Body ◽  
Match Play ◽  
Technical Performance ◽  
Technical Errors ◽  
Body Strength ◽  
Lower Body Strength ◽  
The Relationship

Purpose: To explore the relationship between technical errors during rugby league games, match success, and physical characteristics. Methods: A total of 27 semiprofessional rugby league players participated in this study (24.8 [2.5] y, 183.5 [5.3] cm, 97.1 [11.6] kg). Aerobic fitness, strength, and power were assessed prior to the start of the competitive season before technical performance was tracked during 22 competitive fixtures. Attacking errors were determined as any error that occurred in possession of the ball that resulted in a handover to the opposition. Defensive errors included line breaks, penalties, and missed or ineffective tackles. Match outcome, the zone on the field in which each error occurred, and the number of errors in an error chain (≤60 s between errors) were assessed. Results: During a loss, there were more defensive errors in the 0- to 40-m zone than when a match was won (effect size = 0.99 [0.04–1.94]). Error chains were a predictor of conceding a try (P = .0001, r2 = .22), with the odds ratio increasing to 2.33 when there were 7 errors per chain. High lower-body strength was associated with fewer defensive errors for backs (Bayes factor = 3.67) and forwards (Bayes factor = 19.31); relative bench press was also important for backs (Bayes factor = 3.21). Conclusions: Fewer defensive errors occur in the 0- to 40-m zone during winning matches; lower-body strength is strongly associated with fewer defensive errors in rugby league players.

Physical and Technical Demands of Rugby League 9s Tournament Match Play: A Preliminary Study

2015 ◽  
Vol 10 (6) ◽  
pp. 774-779 ◽  
Author(s):  
Thomas Kempton ◽  
Aaron J. Coutts
Keyword(s):  
High Speed ◽  
Activity Cycle ◽  
Rugby League ◽  
Performance Data ◽  
Match Play ◽  
Technical Performance ◽  
Cycle Lengths ◽  
System Data ◽  
Average Activity ◽  
Activity Cycles

Purpose:To describe the physical and technical demands of rugby league 9s (RL9s) match play for positional groups.Methods:Global positioning system data were collected during 4 games from 16 players from a team competing in the Auckland RL9s tournament. Players were classified into positional groups (pivots, outside backs, and forwards). Absolute and relative physical-performance data were classified as total high-speed running (HSR; >14.4 km/h), very-high-speed running (VHSR; >19.0 km/h), and sprint (>23.0 km/h) distances. Technical-performance data were obtained from a commercial statistics provider. Activity cycles were coded by an experienced video analyst.Results:Forwards (1088 m, 264 m) most likely completed less overall and high-speed distances than pivots (1529 m, 371 m) and outside backs (1328 m, 312 m). The number of sprint efforts likely varied between positions, although differences in accelerations were unclear. There were no clear differences in relative total (115.6−121.3 m/min) and HSR (27.8−29.8 m/min) intensities, but forwards likely performed less VHSR (7.7 m/min) and sprint distance (1.3 m/min) per minute than other positions (10.2−11.8 m/min, 3.7−4.8 m/min). The average activity and recovery cycle lengths were ~50 and ~27 s, respectively. The average longest activity cycle was ~133 s, while the average minimum recovery time was ~5 s. Technical involvements including tackles missed, runs, tackles received, total collisions, errors, off-loads, line breaks, and involvements differed between positions.Conclusions:Positional differences exist for both physical and technical measures, and preparation for RL9s play should incorporate these differences.

Match-related fatigue reduces physical and technical performance during elite rugby league match-play: a case study

2013 ◽  
Vol 31 (16) ◽  
pp. 1770-1780 ◽  
Author(s):  
Thomas Kempton ◽  
Anita C. Sirotic ◽  
Matthew Cameron ◽  
Aaron J. Coutts
Keyword(s):  
Rugby League ◽  
Match Play ◽  
Technical Performance

A Shaping Procedure to Modulate Two Cognitive Tasks to Improve a Sensorimotor Rhythm-Based Brain-Computer Interface System

2018 ◽  
Vol 21 ◽  
Author(s):  
Leandro da Silva-Sauer ◽  
Luis Valero-Aguayo ◽  
Francisco Velasco-Álvarez ◽  
Álvaro Fernández-Rodríguez ◽  
Ricardo Ron-Angevin
Keyword(s):  
Interaction Effect ◽  
Single Case ◽  
Brain Computer Interface ◽  
Cognitive Task ◽  
Computer Interface ◽  
Cognitive Tasks ◽  
Significant Interaction Effect ◽  
Task Load ◽  
Mental Demand ◽  
Shaping Procedure

AbstractThis study aimed to propose an adapted feedback using a psychological learning technique based on Skinner’s shaping method to help the users to modulate two cognitive tasks (right-hand motor imagination and relaxed state) and improve better control in a Brain-Computer Interface. In the first experiment, a comparative study between performance in standard feedback (N = 9) and shaping method (N = 10) was conducted. The NASA Task Load Index questionnaire was applied to measure the user’s workload. In the second experiment, a single case study was performed (N = 5) to verify the continuous learning by the shaping method. The first experiment showed significant interaction effect between sessions and group (F(1, 17) = 5.565; p = .031) which the shaping paradigm was applied. A second interaction effect demonstrates a higher performance increase in the relax state task with shaping procedure (F(1, 17) = 5. 038; p = .038). In NASA-TXL an interaction effect was obtained between the group and the cognitive task in Mental Demand (F(1, 17) = 6, 809; p = .018), Performance (F(1, 17) = 5, 725; p = .029), and Frustration (F(1, 17) = 9, 735; p = .006), no significance was found in Effort. In the second experiment, a trial-by-trial analysis shows an ascendant trend learning curve for the cognitive task with the lowest initial acquisition (relax state). The results suggest the effectiveness of the shaping procedure to modulate brain rhythms, improving mainly the cognitive task with greater initial difficulty and provide better interaction perception.

Workload of learners during simulated paediatric cardiopulmonary resuscitation

2020 ◽  
pp. bmjstel-2020-000652
Author(s):  
Ann L Young ◽  
Cara B Doughty ◽  
Kaitlin C Williamson ◽  
Sharon K Won ◽  
Marideth C Rus ◽  
...  
Keyword(s):  
Emergency Medicine ◽  
Cardiopulmonary Resuscitation ◽  
Descriptive Study ◽  
Emergency Nurses ◽  
Physical Demand ◽  
Task Load ◽  
Mental Demand ◽  
Simulation Based ◽  
Workload Distribution ◽  
Nasa Task Load Index

IntroductionLearner workload during simulated team-based resuscitations is not well understood. In this descriptive study, we measured the workload of learners in different team roles during simulated paediatric cardiopulmonary resuscitation.MethodsPaediatric emergency nurses and paediatric and emergency medicine residents formed teams of four to eight and randomised into roles to participate in simulation-based, paediatric resuscitation. Participant workload was measured using the NASA Task Load Index, which provides an average workload score (from 0 to 100) across six subscores: mental demand, physical demand, temporal demand, performance, frustration and mental effort. Workload is considered low if less than 40, moderate if between 40 and 60 and high if greater than 60.ResultsThere were 210 participants representing 40 simulation teams. 138 residents (66%) and 72 nurses (34%) participated. Team lead reported the highest workload at 65.2±10.0 (p=0.001), while the airway reported the lowest at 53.9±10.8 (p=0.001); team lead had higher scores for all subscores except physical demand. Team lead reported the highest mental demand (p<0.001), while airway reported the lowest. Cardiopulmonary resuscitation coach and first responder reported the highest physical demands (p<0.001), while team lead and nurse recorder reported the lowest (p<0.001).ConclusionsWorkload for learners in paediatric simulated resuscitation teams was moderate to high and varied significantly based on team role. Composition of workload varied significantly by team role. Measuring learner workload during simulated resuscitations allows improved processes and choreography to optimise workload distribution.

Phases of match-play in professional Australian Football: Distribution of physical and technical performance

2020 ◽  
Vol 38 (14) ◽  
pp. 1682-1689 ◽  
Author(s):  
Michael J. Rennie ◽  
Stephen J. Kelly ◽  
Stephen Bush ◽  
Robert W. Spurrs ◽  
Damien J. Austin ◽  
...  
Keyword(s):  
Match Play ◽  
Technical Performance ◽  
Australian Football

scholarly journals Evidence of Concussion Signs in National Rugby League Match Play: a Video Review and Validation Study

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Andrew J. Gardner ◽  
David R. Howell ◽  
Christopher R. Levi ◽  
Grant L. Iverson
Keyword(s):  
Validation Study ◽  
Rugby League ◽  
Match Play ◽  
Video Review

scholarly journals Effects of consecutive days of match play on technical performance in tennis

2016 ◽  
Vol 35 (20) ◽  
pp. 1988-1994 ◽  
Author(s):  
Danielle T. Gescheit ◽  
Rob Duffield ◽  
Melissa Skein ◽  
Neil Brydon ◽  
Stuart J. Cormack ◽  
...  
Keyword(s):  
Match Play ◽  
Technical Performance

scholarly journals Technical Performance Reduces during the Extra-Time Period of Professional Soccer Match-Play

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110995 ◽  
Author(s):  
Liam D. Harper ◽  
Daniel J. West ◽  
Emma Stevenson ◽  
Mark Russell
Keyword(s):  
Match Play ◽  
Soccer Match ◽  
Extra Time ◽  
Technical Performance ◽  
Professional Soccer ◽  
Time Period
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