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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

Introduction: Analyzing metabolic power of horizontal movements may contribute to the understandings of physical and metabolic demands in professional handball.

Purpose: To ascertain the typical metabolic power characteristics of elite handball players of different positions, and whether changes occur within matches during the European Championship 2020.

Design: Prospective cohort study.

Methods: 414 elite male handball players were included. During all 65 matches of the EURO 2020, local positioning system data were collected (16.6 Hz), yielding in 1853 datasets. Field players were categorized in six positional groups: centre 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 was calculated from the position data and further processed as dependent variables. We used linear mixed models with players as random and positions as fixed effects models. Intensity models included time played to account for a 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). Playing intensity decreased with longer playing time in a curvilinear manner with a stronger decrease in the short playing time areas.

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 for optimizing training and performance during matches.

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References

Akenhead R, French D, Thompson KG, Hayes PR. The acceleration dependent validity and reliability of 10 Hz GPS. Journal of science and medicine in sport 2014: 17(5): 562–566.

Alt PS, Baumgart C, Ueberschär O, Freiwald J, Hoppe MW. Validity of a Local Positioning System during Outdoor and Indoor Conditions for Team Sports. Sensors 2020: 20(20): 5733.

Bangsbo J, Nørregaard L, Thorsø F. Activity profile of competition soccer. Canadian journal of sport sciences = Journal canadien des sciences du sport 1991: 16(2): 110–116.

Bates D, Mächler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Soft. 2015: 67(1).

Bradley PS, Lago-Peñas C, Rey E. Evaluation of the Match Performances of Substitution Players in Elite Soccer. International journal of sports physiology and performance 2014: 9(3): 415–424.

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(5): 832–844.

Buglione A, Di Prampero PE. The energy cost of shuttle running. European journal of applied physiology 2013: 113(6): 1535–1543.

Cardinale M, Whiteley R, Hosny AA, Popovic N. Activity Profiles and Positional Differences of Handball Players During the World Championships in Qatar 2015. International journal of sports physiology and performance 2017: 12(7): 908–915.

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 medicine (Auckland, N.Z.) 2008: 38(10): 839–862.

Coutts AJ, Kempton T, Sullivan C, Bilsborough J, Cordy J, Rampinini E. Metabolic power and energetic costs of professional Australian Football match-play. Journal of science and medicine in sport 2015: 18(2): 219–224.

Di Prampero PE, Botter A, Osgnach C. The energy cost of sprint running and the role of metabolic power in setting top performances. European journal of applied physiology 2015: 115(3): 451–469.

Di Prampero PE, Fusi S, Sepulcri L, Morin JB, Belli A, Antonutto G. Sprint running: a new energetic approach. The Journal of experimental biology 2005: 208(Pt 14): 2809–2816.

Fasold F, Redlich D. Foul or no Foul? Effects of Permitted Fouls on the Defence Performance in Team Handball. Journal of human kinetics 2018: 63(1): 53–59.

Fleureau A, Lacome M, Buchheit M, Couturier A, Rabita G. Validity of an ultra-wideband local positioning system to assess specific movements in handball. bs 2020.

Font R, Karcher C, Reche X, Carmona G, Tremps V, Irurtia A. Monitoring external load in elite male handball players depending on playing positions. bs 2021: 38(3): 475–481.

Gaudino P, Alberti G, Iaia FM. Estimated metabolic and mechanical demands during different small-sided games in elite soccer players. Human Movement Science 2014: 36: 123–133.

Gray AJ, Shorter K, Cummins C, Murphy A, Waldron M. Modelling Movement Energetics Using Global Positioning System Devices in Contact Team Sports: Limitations and Solutions. Sports Med 2018: 48(6): 1357–1368.

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(2): e0192708.

Karcher C, Buchheit M. On-court demands of elite handball, with special reference to playing positions. Sports medicine (Auckland, N.Z.) 2014: 44(6): 797–814.

Kempton T, Sirotic AC, Rampinini E, Coutts AJ. Metabolic power demands of rugby league match play. International journal of sports physiology and performance 2015: 10(1): 23–28.

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.

MacLeod H, Bussell C, Sunderland C. Time-motion analysis of elite women’s field hockey, with particular reference to maximum intensity movement patterns. International Journal of Performance Analysis in Sport 2007: 13(3): 848–859.

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(2): 376–390.

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. International journal of environmental research and public health 2021: 18(6).

Manchado C, Tortosa Martínez J, Pueo B, Cortell Tormo JM, Vila H, Ferragut C, Sánchez Sánchez F, Busquier S, Amat S, Chirosa Ríos LJ. High-Performance Handball Player’s Time-Motion Analysis by Playing Positions. IJERPH 2020: 17(18): 6768.

Michalsik LB, Madsen K, Aagaard P. Match performance and physiological capacity of female elite team handball players. International journal of sports medicine 2014: 35(7): 595–607.

Minetti AE, Moia C, Roi GS, Susta D, Ferretti G. Energy cost of walking and running at extreme uphill and downhill slopes. Journal of applied physiology (Bethesda, Md. : 1985) 2002: 93(3): 1039–1046.

Ortega-Becerra M, Belloso-Vergara A, Pareja-Blanco F. Physical and Physiological Demands During Handball Matches in Male Adolescent Players. Journal of human kinetics 2020: 72: 253–263.

Osgnach C, Di Prampero PE. Metabolic Power in Team Sports - Part 2: Aerobic and Anaerobic Energy Yields. International journal of sports medicine 2018: 39(8): 588–595.

Osgnach C, Poser S, Bernardini R, Rinaldo R, Di Prampero PE. Energy cost and metabolic power in elite soccer: a new match analysis approach. Medicine and science in sports and exercise 2010: 42(1): 170–178.

Polglaze T, Dawson B, Buttfield A, Peeling P. Metabolic power and energy expenditure in an international men's hockey tournament. Journal of sports sciences 2018: 36(2): 140–148.

Polglaze T, Hoppe MW. Metabolic Power: A Step in the Right Direction for Team Sports. International journal of sports physiology and performance 2019: 14(3): 407–411.

Póvoas SCA, Seabra AFT, Ascensão AAMR, Magalhães J, Soares JMC, Rebelo ANC. Physical and physiological demands of elite team handball. Journal of strength and conditioning research 2012: 26(12): 3365–3375.

R Core Team. R: A Language and Environment for Statistical Computing, 2021. https://www.R-project.org/.

Savoia, C, Paduola J, Colli R, Marra E, McRobert A, Chester N, Azzone V, Pullinger S, Doran D. The Validity of an Updated Metabolic Power Algorithm Based upon d Prampero's Theoretical Model in Elite Soccer Players. Int J Environ Res Public Health 2021: 17(24): 9554.

Upton DE. The Effect of Assisted and Resisted Sprint Training on Acceleration and Velocity in Division IA Female Soccer Athletes. Journal of strength and conditioning research 2011: 25(10): 2645–2652.

Varley MC, Aughey RJ. Acceleration profiles in elite Australian soccer. International journal of sports medicine 2013: 34(1): 34–39.

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(1): 3–36.

Posted

2022-06-03 — Updated on 2022-06-05

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