Metabolic power in hurling with respect to position and halves of match-play
Autoři:
Damien Young aff001; Shane Malone aff002; Kieran Collins aff002; Laurent Mourot aff004; Marco Beato aff006; Giuseppe Coratella aff007
Působiště autorů:
Limerick Institute of Technology, Thurles Campus, Thurles, Tipperary, Ireland
aff001; Gaelic Sports Research Centre, Technological University Dublin, Tallaght, Dublin, Ireland
aff002; The Tom Reilly Building, Research Institute for sport and exercise sciences, Liverpool John Moores University, Liverpool, United Kingdom
aff003; Research Unit EA3920 Prognostic Markers and Regulatory Factors of Cardiovascular Diseases and Exercise Performance, Exercise Performance Health, Innovation Platform, University of Bourgogne Franche-Comté, Besancon, France
aff004; Tomsk Polytechnic University, Tomsk, Russia
aff005; School of Health and Sports Science, University of Suffolk, Ipswich, United Kingdom
aff006; Department of Biomedical Sciences for Health, University of Milan, Italy
aff007
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225947
Souhrn
The current investigation compared the metabolic power and energetic characteristics in team sports with respect to positional lines and halves of match-play. Global positioning system (GPS) technology data were collected from 22 elite competitive hurling matches over a 3-season period. A total of 250 complete match-files were recorded with players split into positional groups of full-back; half-back; midfield; half-forward; full-forward. Raw GPS data were exported into a customized spreadsheet that provided estimations of metabolic power and speed variables across match-play events (average metabolic power [Pmet], high metabolic load distance [HMLD], total distance, relative distance, high-speed distance, maximal speed, accelerations, and deceleration). Pmet, HMLD, total, relative and high-speed distance were 8.9 ± 1.6 W·kg-1, 1457 ± 349 m, 7506 ± 1364 m, 107 ± 20 m·min-1 and 1169 ± 260 m respectively. Half-backs, midfielders and half-forwards outperformed full-backs (Effect Size [ES] = 1.03, 1.22 and 2.07 respectively), and full-forwards in Pmet (Effect Size [ES] = 1.70, 2.07 and 1.28 respectively), and HMLD (full-backs: ES = -1.23, -1.37 and -0.84 respectively, and full-forwards: ES = -1.77, -2.00 and -1.38 respectively). Half-backs (ES = -0.60), midfielders (ES = -0.81), and half-forwards (ES = -0.74) experienced a second-half temporal decrement in HMLD. The current investigation demonstrates that metabolic power may increase our understanding of the match-play demands placed on elite hurling players. Coaches may utilize these findings to construct training drills that replicate match-play demands.
Klíčová slova:
Acceleration – Bioenergetics – Biological locomotion – Deceleration – Games – Global positioning system – Running – Sports
Zdroje
1. Young D, Mourot L, Beato M, Coratella G. The Match-Play Temporal and Position-Specific Physical and Physiological Demands of Senior Hurlers. J Strength Cond Res. 2018; Epub ahead of print
2. Young D, Mourot L, Beato M, Coratella G. The match heart-rate and running profile of elite under 21 hurlers during competitive match-play. J Strength Cond Res. 2018;32: 2925–2933. doi: 10.1519/JSC.0000000000002558 29489710
3. Young D, Mourot L, Beato M, Coratella G. Match-play demands of elite U17 hurlers during competitive matches. J Strength Cond Res. 2018; Epub ahead of print
4. Collins K, McRobert A, Morton J, O’Sullivan D, Doran D. The Work-Rate of Elite Hurling Match-Play. J Strength Cond Res. 2018;32: 805–811. doi: 10.1519/JSC.0000000000001822 28562524
5. Young D, Malone S, Beato M, Mourot L, Coratella G. Identification of maximal running intensities during elite hurling match-play. J Strength Cond Res. 2018; Epub ahead of print
6. Young D, Coratella G, Malone S, Collins K, Mourot L, Beato M. The match-play sprint performance of elite senior hurlers during competitive games. PLoS One. 2019;14: e0215156. doi: 10.1371/journal.pone.0215156 31017921
7. Coutts AJ, Kempton T, Sullivan C, Bilsborough J, Cordy J, Rampinini E. Metabolic power and energetic costs of professional Australian Football match-play. J Sci Med Sport. Sports Medicine Australia; 2015;18: 219–224. doi: 10.1016/j.jsams.2014.02.003 24589369
8. Malone S, Solan B, Collins K, Doran D. The metabolic power and energetic demands of elite Gaelic football match play. J Sport medince Phys Fit. 2017;57: 543–549.
9. Kempton T, Sirotic AC, Coutts AJ. An integrated analysis of match-related fatigue in professional rugby league. J Sports Sci. 2015;33: 39–47. doi: 10.1080/02640414.2014.921832 24857235
10. Polglaze T, Dawson B, Buttfield A, Peeling P. Metabolic power and energy expenditure in an international men’s hockey tournament. J Sports Sci. Routledge; 2018;36: 140–148.
11. Johnston RJ, Watsford ML, Austin DJ, Pine MJ, Spurrs RW. Movement demands and metabolic power comparisions between elite and subelite Australian footballers. J Strength Cond Res. 2015;29: 2738–2744. doi: 10.1519/JSC.0000000000000936 26402474
12. Osgnach C, Poser S, Bernardini R, Rinaldo R, Di Prampero PE. Energy cost and metabolic power in elite soccer: A new match analysis approach. Med Sci Sports Exerc. 2010;42: 170–178. doi: 10.1249/MSS.0b013e3181ae5cfd 20010116
13. Kempton T, Sirotic AC, Rampinini E, Coutts AJ. Metabolic power demands of rugby league match play. Int J Sports Physiol Perform. 2015;10: 23–28. doi: 10.1123/ijspp.2013-0540 24897755
14. di Prampero PE. Sprint running: a new energetic approach. J Exp Biol. 2005;208: 2809–2816. doi: 10.1242/jeb.01700 16000549
15. Brown DM, Dwyer DB, Robertson SJ, Gastin PB. Metabolic Power Method Underestimates Energy Expenditure in Field Sport Movements Using a GPS Tracking System. Int J Sports Physiol Perform. 2016;11: 1067–1073. doi: 10.1123/ijspp.2016-0021 26999381
16. Stevens TGA, De Ruiter CJ, Van Maurik D, Van Lierop CJW, Savelsbergh GJP, Beek PJ. Measured and estimated energy cost of constant and shuttle running in soccer players. Med Sci Sports Exerc. 2015;47: 1219–1224. doi: 10.1249/MSS.0000000000000515 25211365
17. Buchheit M, Manouvrier C, Cassirame J, Morin JB. Monitoring locomotor load in soccer: Is metabolic power, powerful? Int J Sports Med. 2015;36: 1149–1155. doi: 10.1055/s-0035-1555927 26393813
18. Manzi V, Impellizzeri F, Castagna C. Aerobic fitness ecological validity in elite soccer players: A metabolic power approach. J Strength Cond Res. 2014;28: 914–919. doi: 10.1519/JSC.0000000000000239 24345968
19. Kempton T, Coutts AJ, Kempton T, Sirotic AC, Coutts AJ. An integrated analysis of match-related fatigue in professional rugby league. J Sports Sci. 2015;33: 39–47. doi: 10.1080/02640414.2014.921832 24857235
20. Young D, Mourot L, Coratella G. Match-play performance comparisons between elite and sub-elite hurling players. Sport Sci Health. Springer Milan; 2018;14: 201–208.
21. Reilly T, Collins K. Science and the Gaelic sports: Gaelic football and hurling. Eur J Sport Sci. 2008;8: 231–240.
22. Malone S, Collins K, Doran D. The running performance and estimated energy cost of hurling specific small-sided games. Int J Sports Sci Coach. 2016;11: 853–858.
23. Morgans R, Di Michele R, Drust B. Soccer Match Play as an Important Component of the Power-Training Stimulus in Premier League Players. Int J Sports Physiol Perform. 2018;13: 665–667. doi: 10.1123/ijspp.2016-0412 28422525
24. Zamparo P, Zadro I, Lazzer S, Beato M, Sepulcri L. Energetics of shuttle runs: the effects of distance and change of direction. Int J Sports Physiol Perform. 2014;9: 1033–1039. doi: 10.1123/ijspp.2013-0258 24700201
25. Cummins C, Gray A, Shorter K, Halaki M, Orr R. Energetic and Metabolic Power Demands of National Rugby League Match-Play. Int J Sports Med. 2016;37: 552–558. doi: 10.1055/s-0042-101795 27116345
26. Beato M, Coratella G, Schena F, Hulton A. Evaluation of the external and internal workload in female futsal players. J Biol Sport. 2017;34: 227–231.
27. Maddison R, Ni Mhurchu C. Global positioning system: a new opportunity in physical activity measurement. Int J Behav Nutr Phys Act. BioMed Central; 2009;4: 73.
28. Duffield R, Reid M, Baker J, Spratford W. Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. J Sci Med Sport. Sports Medicine Australia; 2010;13: 523–525. doi: 10.1016/j.jsams.2009.07.003 19853507
29. Jennings D, Cormack S, Coutts AJ, Boyd LJ, Aughey RJ. Variability of GPS units for measuring distance in team sport movements. Int J Sports Physiol Perform. 2010;5: 565–569. doi: 10.1123/ijspp.5.4.565 21266740
30. Beato M, Devereux G, Stiff A. Validity and reliability of global position system units (STATSports Viper) for measuring distance and peak speed in sports. J Strength Cond Res. 2018;32: 2831–2837. doi: 10.1519/JSC.0000000000002778 30052603
31. Beato M, Bartolini D, Ghia G, Zamparo P. Accuracy of a 10 Hz GPS unit in measuring shuttle velocity performed at different speeds and distances (5–20 M). J Hum Kinet. 2016;54: 15–22. doi: 10.1515/hukin-2016-0031 28031753
32. Carling CJ, Lacome M, Flanagan E, O’Doherty P, Piscione J. Exposure time, running and skill-related performance in international u20 rugby union players during an intensified tournament. PLoS One. 2017;12: 1–15.
33. Hopkins WG. Spreadsheets for analysis for controlled trails with adjustment for a predictor. In: Sports Science [Internet]. 2006 [cited 28 Dec 2017]. Available: http://sportsci.org/
34. Gaudino P, Iaia FM, Alberti G, Strudwick AJ, Atkinson G, Gregson W. Monitoring training in elite soccer players: Systematic bias between running speed and metabolic power data. Int J Sports Med. 2013;34: 963–968. doi: 10.1055/s-0033-1337943 23549691
35. Young D, Collins K, Mourot L, Coratella G. The match-play activity cycles in elite U17, U21 and senior hurling competitive games. Sport Sci Health. Springer Milan; 2019;15: 351–358.
36. Polglaze T, Hoppe MW. Metabolic Power: A Step in the Right Direction for Team Sports. Int J Sports Physiol Perform. 2019;14: 407–411. doi: 10.1123/ijspp.2018-0661 30732493
Článek vyšel v časopise
PLOS One
2019 Číslo 12
- Pomohou nám s detekcí karcinomu plic i včely?
- Duševní onemocnění se u teenagerů přenáší v rámci školní třídy
- Od kostiček k lidské kůži. Jak si postavit 3D biotiskárnu?
- Řekněte mi, co jíte, a já vám řeknu, jaká je úroveň vaší kognice
- Umělá inteligence v mozkovém implantátu pomáhá muži po mrtvici s dvojjazyčnou konverzací
Nejčtenější v tomto čísle
- Methylsulfonylmethane increases osteogenesis and regulates the mineralization of the matrix by transglutaminase 2 in SHED cells
- Oregano powder reduces Streptococcus and increases SCFA concentration in a mixed bacterial culture assay
- The characteristic of patulous eustachian tube patients diagnosed by the JOS diagnostic criteria
- Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD Python scripts
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy