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Metabolic Power in the Men’s European Handball Championship 2020

##article.authors##

  • Jan Venzke Ruhr University Bochum, Department of Sports Medicine and Sports Nutrition https://orcid.org/0000-0002-0746-9472
  • Robin Schäfer Ruhr University Bochum, Department of Sports Medicine and Sports Nutrition https://orcid.org/0000-0003-2149-8699
  • Daniel Niederer Goethe University Frankfurt, Department of Sports Medicine and Exercise Physiology, Institute of Sports Sciences
  • Carmen Manchado University of Alicante, Faculty of Education, Physical Education and Sport
  • Petra Platen Ruhr University Bochum, Department of Sports Medicine and Sports Nutrition

DOI:

https://doi.org/10.51224/SRXIV.160

Keywords:

energy expenditure, exercise, volume, intensity, external load, activity profile, local positioning system, mixed models

Abstract

Purpose: We aim to ascertain the typical metabolic power characteristics of elite handball players of different positions, and whether changes occur within matches.


Methods: 414 elite male handball players were included. During all 65 matches of the EURO 2020,  local positioning system data were collected, yielding 1853 datasets. Field players were categorized  into six positional groups: center backs (CB), left and right wings (LW/RW), left and right backs  (LB/RB) and pivots (P). Metabolic power, total energy expenditure, high-power energy, and the equivalent distance index were calculated. We used linear mixed models with players as random and positions as fixed effects models. Intensity models included time played to account for the time-dependency of the intensity. 
Results: LW/RW spent most time on the pitch, expended most total energy, and most relative energy per kg body weight in the high intensity categories. CB played at the highest mean intensity (highest mean metabolic power) (7.85 W/kg; CI95% [7.67, 8.03]). Playing intensity decreased by 2.5% (0.2 kJ/kg/s; CI95% [0.17, 0.23]) per 10 minutes played.


Conclusion: Metabolic power intensity profiles are modulated by playing positions and players’ time on the pitch. Analysis of metabolic intensity in handball should take these parameters into account.

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References

Manchado C, Pers J, Navarro F, Han A, Sung E, Platen P. Time-motion analysis in women’s team handball: importance of aerobic performance. jhse. 2013;8:376-390. doi:10.4100/jhse.2012.82.06.

Büchel D, Jakobsmeyer R, Döring M, Adams M, Rückert U, Baumeister J. Effect of playing position and time on-court on activity profiles in german elite team handball. International Journal of Performance Analysis in Sport. 2019;19:832-844. doi:10.1080/24748668.2019.1663071.

Manchado C, Pueo B, Chirosa-Rios LJ, Tortosa-Martínez J. Time-Motion Analysis by Playing Positions of Male Handball Players during the European Championship 2020. Int J Environ Res Public Health. 2021;18. doi:10.3390/ijerph18062787.

Cardinale M, Whiteley R, Hosny AA, Popovic N. Activity Profiles and Positional Differences of Handball Players During the World Championships in Qatar 2015. Int J Sports Physiol Perform. 2017;12:908-915. doi:10.1123/ijspp.2016-0314.

Carling C, Bloomfield J, Nelsen L, Reilly T. The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 2008;38:839-862.

Bangsbo J, Nørregaard L, Thorsø F. Activity profile of competition soccer. Can J Sport Sci. 1991;16:110-116.

Akenhead R, French D, Thompson KG, Hayes PR. The acceleration dependent validity and reliability of 10 Hz GPS. J Sci Med Sport. 2014;17:562-566.

Polglaze T, Dawson B, Buttfield A, Peeling P. Metabolic power and energy expenditure in an international men's hockey tournament. J Sports Sci. 2018;36:140-148.

Varley MC, Aughey RJ. Acceleration profiles in elite Australian soccer. Int J Sports Med. 2013;34:34-39.

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.

Osgnach C, Di Prampero PE. Metabolic Power in Team Sports - Part 2: Aerobic and Anaerobic Energy Yields. Int J Sports Med. 2018;39:588-595. doi:10.1055/a-0592-7219.

Michalsik LB, Madsen K, Aagaard P. Match performance and physiological capacity of female elite team handball players. Int J Sports Med. 2014;35:595-607. doi:10.1055/s-0033-1358713.

Hoppe MW, Baumgart C, Polglaze T, Freiwald J. Validity and reliability of GPS and LPS for measuring distances covered and sprint mechanical properties in team sports. PLOS ONE. 2018;13:e0192708. doi:10.1371/journal.pone.0192708.

Fleureau A, Lacome M, Buchheit M, Couturier A, Rabita G. Validity of an ultra-wideband local positioning system to assess specific movements in handball. Biol Sport. 2020. doi:10.5114/biolsport.2020.96850.

Link D, Weber M, Linke D, Lames M. Can Positioning Systems Replace Timing Gates for Measuring Sprint Time in Ice Hockey? Front. Physiol. 2019;9. doi:10.3389/fphys.2018.01882.

Manchado C, Tortosa Martínez J, Pueo B, et al. High-Performance Handball Player’s Time-Motion Analysis by Playing Positions. IJERPH. 2020;17:6768. doi:10.3390/ijerph17186768.

Di Prampero PE, Botter A, Osgnach C. The energy cost of sprint running and the role of metabolic power in setting top performances. Eur J Appl Physiol. 2015;115:451-469.

Minetti AE, Moia C, Roi GS, Susta D, Ferretti G. Energy cost of walking and running at extreme uphill and downhill slopes. J Appl Physiol. 2002;93:1039-1046.

Buglione A, Di Prampero PE. The energy cost of shuttle running. Eur J Appl Physiol. 2013;113:1535-1543.

Savoia C, Padulo J, Colli R, et al. The Validity of an Updated Metabolic Power Algorithm Based upon di Prampero’s Theoretical Model in Elite Soccer Players. Int J Environ Res Public Health. 2020;17:9554. doi:10.3390/ijerph17249554.

R Core Team. R: A Language and Environment for Statistical Computing. https://www.R-project.org/.

Bates D, Mächler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Soft. 2015;67. doi:10.18637/jss.v067.i01.

Wood SN. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2011;73:3-36. doi:10.1111/j.1467-9868.2010.00749.x.

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. 2015;18:219-224.

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.

Póvoas SCA, Seabra AFT, Ascensão AAMR, Magalhães J, Soares JMC, Rebelo ANC. Physical and physiological demands of elite team handball. J Strength Cond Res. 2012;26:3365-3375. doi:10.1519/JSC.0b013e318248aeee.

Karcher C, Buchheit M. On-court demands of elite handball, with special reference to playing positions. Sports Med. 2014;44:797-814. doi:10.1007/s40279-014-0164-z.

Taylor JB, Wright AA, Dischiavi SL, Townsend MA, Marmon AR. Activity Demands During Multi-Directional Team Sports: A Systematic Review. Sports Med. 2017;47:2533-2551. doi:10.1007/s40279-017-0772-5.

Morrison S, Ward P, duManoir GR. Energy System Development and Load Management Through the Rehabilitation and Return to Play Process. Int J Sports Phys Ther. 2017;12:697-710.

Font R, Karcher C, Reche X, Carmona G, Tremps V, Irurtia A. Monitoring external load in elite male handball players depending on playing positions. Biol Sport. 2021;38:475-481. doi:10.5114/biolsport.2021.101123.

Upton DE. The Effect of Assisted and Resisted Sprint Training on Acceleration and Velocity in Division IA Female Soccer Athletes. J Strength Cond Res. 2011;25:2645-2652. doi:10.1519/JSC.0b013e318201be16.

Bradley PS, Lago-Peñas C, Rey E. Evaluation of the Match Performances of Substitution Players in Elite Soccer. Int J Sports Physiol Perform. 2014;9:415-424. doi:10.1123/ijspp.2013-0304.

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.

Posted

2022-06-03 — Updated on 2023-02-21

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