Intra-unit reliability and movement variability of submission grappling external load as measured by torso mounted accelerometery.

Submission grappling consists of skills and movements used in combat sports to physically control opponents whilst trying to apply choke holds and joint locks. There is currently no accepted method of monitoring external load in grappling-based sports due to the absence of key variables such as distance, velocity or time. The primary aim of this study was to determine whether PlayerLoad is a reliable variable for measuring external load of submission grappling movements, with a secondary aim of determining the between repetition variance of submission grappling movements. 7 experienced submission grapplers were recruited. Each wore a torso mounted Catapult® Optimeye S5 microelectromechanical systems (MEMS) device and completed 5 repetitions of each of the following: 4 submission techniques; 5 transition techniques; 2 guard pass techniques; 2 takedown techniques. Accumulated PlayerLoad (PLdACC) was recorded as a marker of absolute load, with accumulated PlayerLoad per minute (PLdACC∙min-1) representing relative load. Reliability of each was assessed using intraclass correlation coefficient (ICC(3,1)) (≥ 0.70). Between repetition movement variation was assessed via coefficient of variation with 95% confidence intervals (CV, 95%CI) (acceptable ≤ 15%, good ≤ 10%). PLdACC ICC(3,1) range = 0.78-0.98, with CV range = 9-22%. PLdACC∙min-1 ICC(3,1) range = 0.83-0.98, with CV range = 11-19%. Though several variables displayed CV > 15%, all had 95%CI lower boundaries ≤ 15%. Whilst PlayerLoad was found to be a reliable measure for submission grappling, relatively high CVs across most techniques examined suggest PlayerLoad may not be appropriate for measuring changes in external load for individual movements in submission grappling. However, it may prove a useful tool for monitoring the external load of full, grappling-based, training sessions within an individual.

[1]  S. Atkins,et al.  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 , 2020, Human Movement.

[2]  M. Greig,et al.  Physical Response to Pad- and Bag-Based Boxing-Specific Training Modalities. , 2020, Journal of strength and conditioning research.

[3]  B. Branco,et al.  Monitoring Internal Training Load, Stress-Recovery Responses, and Immune-Endocrine Parameters in Brazilian Jiu-Jitsu Training , 2020, Journal of strength and conditioning research.

[4]  Stephen Barrett,et al.  To infinity and beyond: the use of GPS devices within the football codes , 2019, Science and Medicine in Football.

[5]  Jace A. Delaney,et al.  Developing Athlete Monitoring Systems in Team Sports: Data Analysis and Visualization. , 2019, International journal of sports physiology and performance.

[6]  C. Brito,et al.  Suggestions for Professional Mixed Martial Arts Training With Pacing Strategy and Technical-Tactical Actions by Rounds , 2019, Journal of strength and conditioning research.

[7]  Franco M Impellizzeri,et al.  Internal and External Training Load: 15 Years On. , 2019, International journal of sports physiology and performance.

[8]  Tim J Gabbett,et al.  Validity of a Microsensor-Based Algorithm for Detecting Scrum Events in Rugby Union. , 2019, International journal of sports physiology and performance.

[9]  Matthew T. O. Worsey,et al.  Inertial Sensors for Performance Analysis in Combat Sports: A Systematic Review , 2019, Sports.

[10]  Karsten Øvretveit,et al.  Maximal Strength Training Improves Strength Performance in Grapplers , 2018, Journal of strength and conditioning research.

[11]  Robert Robergs,et al.  Caution using data from triaxial accelerometers housed in player tracking units during running , 2018, Journal of sports sciences.

[12]  Ciro José Brito,et al.  Suggestions for Judo Training with Pacing Strategy and Decision Making by Judo Championship Phases , 2018, Journal of human kinetics.

[13]  Grant Duthie,et al.  The Fit Matters: Influence of Accelerometer Fitting and Training Drill Demands on Load Measures in Rugby League Players. , 2018, International journal of sports physiology and performance.

[14]  W G Hopkins,et al.  Validity of an ultra-wideband local positioning system to measure locomotion in indoor sports , 2018, Journal of sports sciences.

[15]  V. Coswig,et al.  Brazilian Jiu-Jitsu matches induced similar physiological and technical-tactical responses in gi and nogi conditions , 2018 .

[16]  P. Gentil,et al.  Physical fitness predicts technical-tactical and time-motion profile in simulated Judo and Brazilian Jiu-Jitsu matches , 2018, PeerJ.

[17]  Karsten Øvretveit Acute physiological and perceptual responses to Brazilian jiu-jitsu sparring: the role of maximal oxygen uptake , 2018 .

[18]  F. D. Vecchio Accelerometry Use to Study External Load in Combat Sports: An Example from Taekwondo , 2018 .

[19]  Menşure Aydin,et al.  The Effects of Biomechanical Factors to Teach Different Hook Punch Techniques in Boxing and Education Strategies , 2018 .

[20]  Kase J. Saylor,et al.  Validity and reliability of an accelerometer-based player tracking device , 2018, PloS one.

[21]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

[22]  A. Coutts,et al.  Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport. , 2017, International journal of sports physiology and performance.

[23]  Jos Vanrenterghem,et al.  The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements. , 2017, International journal of sports physiology and performance.

[24]  L. V. Andreato,et al.  Brazilian Jiu-Jitsu Combat Among Different Categories: Time-Motion and Physiology. A Systematic Review , 2016 .

[25]  George P Nassis,et al.  Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions. , 2016, International journal of sports physiology and performance.

[26]  Terry K Koo,et al.  A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal Chiropractic Medicine.

[27]  E. Franchini,et al.  Brazilian Jiu-Jitsu Simulated Competition Part II: Physical Performance, Time-Motion, Technical-Tactical Analyses, and Perceptual Responses , 2015, Journal of strength and conditioning research.

[28]  Stephen Atkins,et al.  Comparison of the Training Loads of Mixed Martial Arts Techniques in Isolated Training and Open Sparring , 2015 .

[29]  Tim J Gabbett,et al.  The Use of Wearable Microsensors to Quantify Sport-Specific Movements , 2015, Sports Medicine.

[30]  Stephen Atkins,et al.  Measuring the Workload of Mixed Martial Arts using Accelerometry, Time Motion Analysis and Lactate , 2015 .

[31]  G. G. Haff,et al.  A Comparison of Methods for Determining the Rate of Force Development During Isometric Midthigh Clean Pulls , 2015, Journal of strength and conditioning research.

[32]  Steve Barrett,et al.  PlayerLoad™: reliability, convergent validity, and influence of unit position during treadmill running. , 2014, International journal of sports physiology and performance.

[33]  Stephen Atkins,et al.  Reliability of a Portable Accelerometer for Measuring Workload during Mixed Martial Arts , 2014 .

[34]  B. Miarka,et al.  Reliability of A New Time-Motion Analysis Model Based on Technical-Tactical Interactions for Wrestling Competition , 2013 .

[35]  E. Franchini,et al.  Physiological and Technical-tactical Analysis in Brazilian Jiu-jitsu Competition , 2013, Asian journal of sports medicine.

[36]  Sergey Tabakov,et al.  Motor skills reliability of the throws technique of the young SAMBO players , 2011 .

[37]  K. Ball,et al.  The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. , 2011, International journal of sports physiology and performance.

[38]  Marc R Portus,et al.  The associations between fast bowling technique and ball release speed: A pilot study of the within-bowler and between-bowler approaches , 2007, Journal of sports sciences.

[39]  C. Kirk Does anthropometry influence technical factors in competitive mixed martial arts , 2018 .

[40]  Mohamad Adam Bujang,et al.  A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: a review , 2017 .

[41]  Tim J Gabbett,et al.  The validity of microsensors to automatically detect bowling events and counts in cricket fast bowlers. , 2015, International journal of sports physiology and performance.

[42]  Orit Shechtman,et al.  The Coefficient of Variation as an Index of Measurement Reliability , 2013 .