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S. Sawilowsky (2009)
New Effect Size Rules of ThumbJournal of Modern Applied Statistical Methods, 8
T. Reilly (2005)
An ergonomics model of the soccer training processJournal of Sports Sciences, 23
L. Luteberget, Matt Spencer (2016)
High-Intensity Events in International Women's Team Handball Matches.International journal of sports physiology and performance, 12 1
E. Borg, G. Borg (2002)
A comparison of AME and CR100 for scaling perceived exertion.Acta psychologica, 109 2
S. Barrett, A. Midgley, Matt Reeves, T. Joel, Ed Franklin, R. Heyworth, A. Garrett, R. Lovell (2016)
The within-match patterns of locomotor efficiency during professional soccer match play: Implications for injury risk?Journal of science and medicine in sport, 19 10
(1997)
Using the general linear mixed model to analyze unbalanced repeated measures and longitudinal data, 16
J. Bloomfield, R. Polman, P. O'Donoghue (2007)
Physical Demands of Different Positions in FA Premier League Soccer.Journal of sports science & medicine, 6 1
D. Wundersitz, P. Gastin, C. Richter, S. Robertson, K. Netto (2015)
Validity of a trunk-mounted accelerometer to assess peak accelerations during walking, jogging and runningEuropean Journal of Sport Science, 15
Ted Polglaze, B. Dawson, D. Hiscock, P. Peeling (2015)
A comparative analysis of accelerometer and time-motion data in elite men's hockey training and competition.International journal of sports physiology and performance, 10 4
P. Bradley, C. Carling, Antonio Díaz, P. Hood, C. Barnes, J. Ade, Mark Boddy, P. Krustrup, M. Mohr (2013)
Match performance and physical capacity of players in the top three competitive standards of English professional soccer.Human movement science, 32 4
S. Bredt, M. Chagas, Gustavo Peixoto, H. Menzel, A. Andrade (2020)
Understanding Player Load: Meanings and LimitationsJournal of Human Kinetics, 71
S. Barrett, A. Midgley, R. Lovell (2014)
PlayerLoad™: reliability, convergent validity, and influence of unit position during treadmill running.International journal of sports physiology and performance, 9 6
F. Impellizzeri, Samuele Marcora (2009)
Test validation in sport physiology: lessons learned from clinimetrics.International journal of sports physiology and performance, 4 2
P. Montgomery, D. Pyne, C. Minahan (2010)
The physical and physiological demands of basketball training and competition.International journal of sports physiology and performance, 5 1
J. Bangsbo (2003)
The physiology of soccer--with special reference to intense intermittent exercise.Acta physiologica Scandinavica. Supplementum, 619
(2016)
Player load, acceleration and deceleration during 45 competitive matches of elite soccer
J. Malone, R. Lovell, M. Varley, A. Coutts (2017)
Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport.International journal of sports physiology and performance, 12 Suppl 2
P. Barreira, M. Robinson, B. Drust, N. Nedergaard, R. Azidin, J. Vanrenterghem (2017)
Mechanical Player Load™ using trunk-mounted accelerometry in football: Is it a reliable, task- and player-specific observation?Journal of Sports Sciences, 35
P. Gaudino, P. Gaudino, F. Iaia, G. Alberti, A. Strudwick, G. Atkinson, W. Gregson, W. Gregson (2013)
Monitoring Training in Elite Soccer Players: Systematic Bias between Running Speed and Metabolic Power DataInternational Journal of Sports Medicine, 34
B. Scott, R. Lockie, Timothy Knight, A. Clark, X. Jonge (2013)
A comparison of methods to quantify the in-season training load of professional soccer players.International journal of sports physiology and performance, 8 2
P. Bradley, C. Carling, D. Archer, Jenny Roberts, Andrew Dodds, M. Mascio, D. Paul, Antonio Díaz, D. Peart, P. Krustrup (2011)
The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matchesJournal of Sports Sciences, 29
B. Drust, M. Green (2013)
Science and football: evaluating the influence of science on performanceJournal of Sports Sciences, 31
M. Campello, M. Nordin, S. Weiser (1996)
Physcial exercise and low back painScandinavian Journal of Medicine & Science in Sports, 6
M. Brysbaert, Michaël Stevens (2018)
Power Analysis and Effect Size in Mixed Effects Models: A TutorialJournal of Cognition, 1
S. Barrett, A. Midgley, C. Towlson, A. Garrett, M. Portas, R. Lovell (2016)
Within-Match PlayerLoad™ Patterns During a Simulated Soccer Match: Potential Implications for Unit Positioning and Fatigue Management.International journal of sports physiology and performance, 11 1
R. Shephard (1999)
Biology and medicine of soccer: an update.Journal of sports sciences, 17 10
Jasper Verheul, N. Nedergaard, J. Vanrenterghem, M. Robinson (2019)
Measuring biomechanical loads in team sports – from lab to fieldScience and Medicine in Football, 4
D. Wundersitz, P. Gastin, S. Robertson, K. Netto (2015)
Validity of a Trunk-Mounted Accelerometer to Measure Physical Collisions in Contact Sports.International journal of sports physiology and performance, 10 6
E. Rampinini, G. Alberti, Matteo Fiorenza, M. Riggio, R. Sassi, T. Borges, A. Coutts (2014)
Accuracy of GPS Devices for Measuring High-intensity Running in Field-based Team SportsInternational Journal of Sports Medicine, 36
J. Malone, R. Michele, R. Morgans, D. Burgess, J. Morton, B. Drust (2015)
Seasonal training-load quantification in elite English premier league soccer players.International journal of sports physiology and performance, 10 4
Oi-man Kwok, S. West, S. Green (2007)
The Impact of Misspecifying the Within-Subject Covariance Structure in Multiwave Longitudinal Multilevel Models: A Monte Carlo StudyMultivariate Behavioral Research, 42
P. Bradley, W. Sheldon, B. Wooster, P. Olsen, Paul Boanas, P. Krustrup (2009)
High-intensity running in English FA Premier League soccer matchesJournal of Sports Sciences, 27
C. Meylan, Joshua Trewin, K. McKean (2017)
Quantifying Explosive Actions in International Women's Soccer.International journal of sports physiology and performance, 12 3
R. Akenhead, D. French, K. Thompson, P. Hayes (2014)
The acceleration dependent validity and reliability of 10 Hz GPS.Journal of science and medicine in sport, 17 5
P. Prampero, S. Fusi, L. Sepulcri, Jean-Benoit Morin, A. Belli, G. Antonutto (2005)
Sprint running: a new energetic approachJournal of Experimental Biology, 208
Jacob Cohen (1969)
Statistical Power Analysis for the Behavioral SciencesThe SAGE Encyclopedia of Research Design
L. Boyd, K. Ball, R. Aughey (2011)
The reliability of MinimaxX accelerometers for measuring physical activity in Australian football.International journal of sports physiology and performance, 6 3
T. Gabbett (2015)
Relationship Between Accelerometer Load, Collisions, and Repeated High-Intensity Effort Activity in Rugby League PlayersJournal of Strength and Conditioning Research, 29
P. Lachenbruch (1989)
Statistical Power Analysis for the Behavioral Sciences (2nd ed.)Journal of the American Statistical Association, 84
J. Vanrenterghem, N. Nedergaard, M. Robinson, B. Drust (2017)
Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation PathwaysSports Medicine, 47
L. Boyd, K. Ball, R. Aughey (2013)
Quantifying external load in Australian football matches and training using accelerometers.International journal of sports physiology and performance, 8 1
R. Akenhead, G. Nassis (2016)
Training Load and Player Monitoring in High-Level Football: Current Practice and Perceptions.International journal of sports physiology and performance, 11 5
A. Dellal, K. Chamari, D. Wong, S. Ahmaidi, Dominique Keller, R. Barros, G. Bisciotti, C. Carling (2011)
Comparison of physical and technical performance in European soccer match-play: FA Premier League and La LigaEuropean Journal of Sport Science, 11
Alec Scott, James Malone, R. Morgans, Darren Burgess, W. Gregson, James Morton, B. Drust (2016)
The relationship between physical match performance and 48-h post-game creatine kinase concentrations in English Premier League soccer playersInternational Journal of Sports Science & Coaching, 11
Denise Jennings, Stuart Cormack, A. Coutts, L. Boyd, R. Aughey (2010)
The validity and reliability of GPS units for measuring distance in team sport specific running patterns.International journal of sports physiology and performance, 5 3
A. Cnaan, N. Laird, P. Slasor (2005)
Mixed Models: Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data
D. Bishop (2008)
An Applied Research Model for the Sport SciencesSports Medicine, 38
(2007)
Warm-up revisited: the ramp method of optimizing warm-ups
In elite football, the emphasis is placed on monitoring the output from the Global Positioning Systems (GPS) component of a Micro-Electro-Mechanical Systems (MEMS) device; however, this does not comprehensively overview the total demands due to the intermittent multidirectional nature. The aim of the study was to investigate the application of accelerometer data provided by MEMS, to evaluate movement requirements in elite football. A two-staged research approach, involving an effectiveness and efficacy stage, was deployed. The effectiveness stage examined two MEMS-accelerometer variables (PlayerLoadTM (PL) and PlayerLoadTM per meter (PL.m−1)) for four years and four months. Ninety-nine English Premier League outfield football players’ participated. In the efficacy stage, 26 elite outfield football players completed three different training modalities (running, possession and dribbling) and a range of MEMS-accelerometer variables were analysed. In the effectiveness stage, the mean difference in PL for all training activities other than Set Pieces were similar to Matches (−283 to −246au). Model coefficients for PL.m−1 were smallest in Team Shape (−0.00114au), Attacking (0.00025au) and Games (0.00196au), and largest for Possession (0.03356AU), Defending (0.03182au) and Skills Games (0.03106au) compared to Matches. The findings suggest that PL.m−1 but not PL may be effective at describing differences in movement requirements. In the efficacy stage, PL.m−1 and inertial movement analysis (IMA) efforts were the only variables that had greater mean differences in the smaller conditions, confirming PL.m−1’s suitability in evaluating movement requirements of different training activities and pitch dimensions. The findings suggest such a variable offers value in a monitoring strategy in football.
Science and Medicine in Football – Taylor & Francis
Published: Jan 2, 2023
Keywords: Accelerometry; football; training; movement; density; monitoring
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