Literature DB >> 26196661

Relationship Between Accelerometer Load, Collisions, and Repeated High-Intensity Effort Activity in Rugby League Players.

Tim J Gabbett1.   

Abstract

Triaxial accelerometers have been critical in providing information on the high-acceleration, low-velocity movements that occur in team sports. In addition, these sensors have proven to be useful in quantifying the activities that do not involve the vertical acceleration associated with locomotion (e.g., tackling, on-ground wrestling, and grappling). This study investigated the relationship between Player Load (PL), 2D Player Load (2DPL), and Player Load Slow (PL Slow), collisions, and repeated high-intensity effort (RHIE) activity in rugby league players. One hundred and eighty-two rugby league players (age, 24.3 ± 3.3 years) participated in this study. Movement was recorded using a global positioning system unit sampling at 10 Hz and triaxial accelerometer sampling at 100 Hz. Analysis was completed during 26 matches (totaling 386 appearances). Pearson product-moment correlation coefficients were used to determine relationships between PL, 2DPL, and PL Slow and total collisions and RHIE activity. When all players were considered, weak relationships were found between PL and the number of collisions and RHIE bouts performed. However, PL was strongly associated (p ≤ 0.05) with total distance, low-speed activity, high-speed running distance, total collisions, and the number of RHIE bouts for forwards and hookers. Weak and typically insignificant relationships were found between PL, 2DPL, and PL Slow and the number of collisions and RHIE bouts performed by the adjustables and outside backs positional groups. The relationships between PL and the number of collisions and RHIE bouts are stronger in positions where contact and repeated-effort demands are high. From a practical perspective, these results suggest that PL, 2DPL, and PL Slow offer useful "real-time" measures of collision and RHIE activity, particularly in forwards and hookers, to inform interchange strategies and ensure players are training at an adequate intensity.

Mesh:

Year:  2015        PMID: 26196661     DOI: 10.1519/JSC.0000000000001017

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  6 in total

Review 1.  Application of Global Positioning System and Microsensor Technology in Competitive Rugby League Match-Play: A Systematic Review and Meta-analysis.

Authors:  Joanne Hausler; Mark Halaki; Rhonda Orr
Journal:  Sports Med       Date:  2016-04       Impact factor: 11.136

2.  Movement Demands and Injury Characteristics in Under-20-Years University Rugby Union Players.

Authors:  Shane Ball; Mark Halaki; Rhonda Orr
Journal:  J Athl Train       Date:  2020-03-11       Impact factor: 2.860

Review 3.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

4.  ENERGY SYSTEM DEVELOPMENT AND LOAD MANAGEMENT THROUGH THE REHABILITATION AND RETURN TO PLAY PROCESS.

Authors:  Scot Morrison; Patrick Ward; Gregory R duManoir
Journal:  Int J Sports Phys Ther       Date:  2017-08

Review 5.  The Relationships Between Internal and External Measures of Training Load and Intensity in Team Sports: A Meta-Analysis.

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

6.  Sport Readaptation: Where Do We Draw the Lines Between Professionals?

Authors:  Daniel Rojas-Valverde; Juan Carlos Gutiérrez-Vargas; Braulio Sánchez-Ureña
Journal:  Front Sports Act Living       Date:  2019-11-27
  6 in total

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