Exploración de las métricas de carga externa en el balonmano de equipo: Un estudio del Campeonato Europeo Masculino Sub-20

Autores/as

  • João Freitas FADEUP
  • Luisa Estriga Faculty of Sport, University of Porto

DOI:

https://doi.org/10.17398/1885-7019.20.143

Palabras clave:

balonmano, jerk, DSL, acelerometría, rendimiento físico

Resumen

La evaluación objetiva de las cargas físicas externas se ha convertido en algo promisorio para mejor comprender la carga y la respuesta de un jugador. Sin embargo, hay una falta de consenso sobre las métricas a utilizar junto con información limitada sobre este tema en el balonmano de élite. Este estudio investigó las diferencias con métricas tradicionales y nuevas de carga mecánica externa según las posiciones de juego. Métodos: se utilizaron 27 partidos de la EHF Euro M20 2022, con un total de 711 muestras de jugadores registradas. Data series se recopiló con un sistema de posicionamiento local (LPS) con dispositivos de unidad de medición inercial (IMU) integrados. Variables cinemáticas: match-jerk, match-Dynamic Stress Load (match-DSL), la distancia recorrida y la distancia recorrida a alta velocidad. A pesar de carecer de validación contextual en balonmano, se encontraron diferencias entre las posiciones estudiadas en todas las variables. Parece posible una mayor sensibilidad basada en el match-DSL en comparación con el match-jerk. Los jugadores de primera línea y pivotes exhibieron los valores más altos de match-DSL. De forma divergente, los extremos cubrieron más distancia en carrera a alta velocidad mientras mostraban un menor match-DSL en relación con la primera línea. Las variables de locomoción proporcionan ventajas prácticas en comparación con match-DSL y match-jerk. Futuros estudios son necesarios que exploren la validez de las métricas y parámetros establecidos arbitrariamente y comparen estas variables de carga externa con las de carga interna.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

Alt, P. S., Baumgart, C., Ueberschär, O., Freiwald, J., & Hoppe, M. W. (2020). Validity of a Local Positioning System during Outdoor and Indoor Conditions for Team Sports. Sensors, 20(20), 5733. https://doi.org/10.3390/s20205733

Banister, E. W., & Calvert, T. W. (1980). Planning for future performance: implications for long term training. Canadian journal of applied sport sciences. Journal canadien des sciences appliquees au sport, 5(3), 170-176.

Bastida-Castillo, A.; Gómez-Carmona, C.D.; Hernández-Belmonte, A.;Pino-Ortega, J. (2018). Validez y Fiabilidad de un Dispositivo Inercial (WIMU PRO TM ) para el Análisis del Posicionamiento en Balonmano. E-balonmano.com: Revista de Ciencias del Deporte, 14(1), 9-16. http://hdl.handle.net/10662/7429

Bassek, M., Raabe, D., Memmert, D., & Rein, R. (2023). Analysis of Motion Characteristics and Metabolic Power in Elite Male Handball Players. Journal of sports science & medicine, 22(2), 310–316. https://doi.org/10.52082/jssm.2023.310

Bredt, S. D. G. T., Chagas, M. H., Peixoto, G. H., Menzel, H. J., & de Andrade, A. G. P. (2020). Understanding Player Load: Meanings and Limitations. Journal of human kinetics, 71, 5–9. https://doi.org/10.2478/hukin-2019-0072

Bullock, G. S., Hughes, T., Arundale, A. H., Ward, P., Collins, G. S., & Kluzek, S. (2022). Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care. Sports medicine (Auckland, N.Z.), 52(8), 1729–1735. https://doi.org/10.1007/s40279-022-01655-6

Cardinale, M., Whiteley, R., Hosny, A. A., & Popovic, N. (2017). Activity Profiles and Positional Differences of Handball Players During the World Championships in Qatar 2015. International journal of sports physiology and performance, 12(7), 908–915. https://doi.org/10.1123/ijspp.2016-0314

Carton-Llorente, A., Lozano, D., Gilart Iglesias, V., Jorquera, D. M., & Manchado, C. (2023). Worst-case scenario analysis of physical demands in elite men handball players by playing position through big data analytics. Biology of sport, 40(4), 1219–1227. https://doi.org/10.5114/biolsport.2023.126665

Crang, Z. L., Duthie, G., Cole, M. H., Weakley, J., Hewitt, A., & Johnston, R. D. (2022). The inter-device reliability of global navigation satellite systems during team sport movement across multiple days. Journal of Science and Medicine in Sport, 25(4), 340-344. https://doi.org/10.1016/j.jsams.2021.11.044

Eager, D., Pendrill, A. M., & Reistad, N. (2016). Beyond velocity and acceleration: jerk, snap and higher derivatives. European Journal of Physics, 37(6). https://doi.org/10.1088/0143-0807/37/6/065008

Ezquerra Condeminas, P., Mallol, M., Font, R., Tremps, V., Gutiérrez, J. A., Rodas, G., Perera Lluna, A., & Soria, J. M. (2024). Unraveling athletic performance: Transcriptomics and external load monitoring in handball competition. PLoS ONE, 19(3), e0299556. https://doi.org/10.1371/journal.pone.0299556

Field, A. (2017). Discovering statistics using IBM SPSS statistics (5th ed.). London: Sage Publications.

Fleureau, A., Lacome, M., Buchheit, M., Couturier, A., & Rabita, G. (2020). Validity of an ultra-wideband local positioning system to assess specific movements in handball. Biology of Sport, 37(4), 351-357. https://doi.org/10.5114/biolsport.2020.96850

Font, R., Karcher, C., Reche, X., Carmona, G., Tremps, V., & Irurtia, A. (2021). Monitoring external load in elite male handball players depending on playing positions. Biology of Sport, 38(3), 475-481. https://doi.org/10.5114/biolsport.2021.101123

García-Sánchez, C., Navarro, R. M., Karcher, C., & de la Rubia, A. (2023). Physical Demands during Official Competitions in Elite Handball: A Systematic Review. International Journal of Environmental Research and Public Health, 20(4), 3353. https://doi.org/10.3390/ijerph20043353

González-Haro, P. J., Gómez-Carmona, C. D., Bastida-Castillo, A., Rojas-Valverde, D., Gómez-López, M., & Pino-Ortega, J. (2020). Analysis of playing position and match status-related differences in external load demands on amateur handball: a case study. Revista Brasileira de Cineantropometria & Desempenho Humano, 22. https://doi.org/10.1590/1980-0037.2020v22e71427

Gualtieri, A., Rampinini, E., Dello Iacono, A., & Beato, M. (2023). High-speed running and sprinting in professional adult soccer: Current thresholds definition, match demands and training strategies. A systematic review [Review]. Frontiers in Sports and Active Living, 5. https://doi.org/10.3389/fspor.2023.1116293

Heishman, A., Peak, K., Miller, R., Brown, B., Daub, B., Freitas, E., & Bemben, M. (2020, 03/11). Associations Between Two Athlete Monitoring Systems Used to Quantify External Training Loads in Basketball Players. Sports, 8, 33. https://doi.org/10.3390/sports8030033

Hostler, D., Schwob, J., Schlader, Z. J., & Cavuoto, L. (2021). Heat Stress Increases Movement Jerk During Physical Exertion. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.748981

IHF. (2016). Rules of the Game. https://www.ihf.info/sites/default/files/2019-07/New-Rules%20of%20the%20Game_GB.pdf

Kiely, J., Pickering, C., & Collins, D. J. (2019). Smoothness: An unexplored window into coordinated running proficiency. Sports Medicine - Open, 5(1). https://doi.org/10.1186/s40798-019-0215-y

Link, D., Weber, M., Linke, D., & Lames, M. (2019). CAN positioning systems replace timing gates for measuring sprint time in ice hockey? Frontiers in Physiology, 9. https://doi.org/10.3389/fphys.2018.01882

Luteberget, L. S., & Gilgien, M. (2020). Validation methods for global and local positioning-based athlete monitoring systems in Team Sports: A scoping review. BMJ Open Sport & Exercise Medicine, 6(1). https://doi.org/10.1136/bmjsem-2020-000794

Luteberget, L. S., Holme, B. R., & Spencer, M. (2018). Reliability of Wearable Inertial Measurement Units to Measure Physical Activity in Team Handball. Int J Sports Physiol Perform, 13(4), 467-473. https://doi.org/10.1123/ijspp.2017-0036

Luteberget, L. S., & Spencer, M. (2017). High-Intensity Events in International Women's Team Handball Matches. Int J Sports Physiol Perform, 12(1), 56-61. https://doi.org/10.1123/ijspp.2015-0641

Malone, J. J., Lovell, R., Varley, M. C., & Coutts, A. J. (2017). Unpacking the black box: Applications and considerations for using GPS devices in Sport. International Journal of Sports Physiology and Performance, 12(s2). https://doi.org/10.1123/ijspp.2016-0236

Manchado, C., Tortosa Martínez, J., Pueo, B., Cortell Tormo, J. M., Vila, H., Ferragut, C., Sánchez Sánchez, F., Busquier, S., Amat, S., & Chirosa Ríos, L. J. (2020). High-performance handball player’s time-motion analysis by playing positions. International Journal of Environmental Research and Public Health, 17(18), 6768. https://doi.org/10.3390/ijerph17186768

Manchado, C., Pueo, B., Chirosa-Rios, L. J., & Tortosa-Martínez, J. (2021). Time–motion analysis by playing positions of male handball players during the European Championship 2020. International Journal of Environmental Research and Public Health, 18(6), 2787. https://doi.org/10.3390/ijerph18062787

Matthys, S. P. J., Fransen, J., Vaeyens, R., Lenoir, M., & Philippaerts, R. (2013). Differences in biological maturation, anthropometry and physical performance between playing positions in youth team handball. Journal of Sports Sciences, 31(12), 1344-1352. https://doi.org/10.1080/02640414.2013.781663

Michalsik, L. B., & Aagaard, P. (2015). Physical demands in elite team handball: comparisons between male and female players. The Journal of sports medicine and physical fitness, 55(9), 878–891.

Michalsik, L. B., Aagaard, P., & Madsen, K. (2013). Locomotion Characteristics and Match-Induced Impairments in Physical Performance in Male Elite Team Handball Players. International Journal of Sports Medicine, 34(7), 590-599. https://doi.org/10.1055/s-0032-1329989

Michalsik, L. B., Madsen, K., & Aagaard, P. (2014). Match Performance and Physiological Capacity of Female Elite Team Handball Players. International Journal of Sports Medicine, 35(7), 595-607. https://doi.org/10.1055/s-0033-1358713

Michalsik, L. B., Madsen, K., & Aagaard, P. (2015). Physiological capacity and physical testing in male elite team handball. The Journal of sports medicine and physical fitness, 55(5), 415–429.

Mónaco, M., Rincón, J. A. G., Ronsano, B. J. M., Whiteley, R., Sanz-Lopez, F., & Rodas, G. (2019). Injury incidence and injury patterns by category, player position, and maturation in elite male handball elite players. Biology of sport, 36(1), 67–74. https://doi.org/10.5114/biolsport.2018.78908

Pérez-Armendáriz, M. L., Spyrou, K., & E. Alcaraz, P. (2024). Match demands of female team sports: a scoping review. Biology of Sport, 41(1), 175-199. https://doi.org/10.5114/biolsport.2024.129476

Pino-Ortega J, Rojas-Valverde D, Gómez-Carmona CD, Rico-González M. Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby. International Journal of Environmental Research and Public Health. 2021; 18(5):2642. https://doi.org/10.3390/ijerph18052642

Póvoas, S. C., Ascensão, A. A., Magalhães, J., Seabra, A. F., Krustrup, P., Soares, J. M., & Rebelo, A. N. (2014). Physiological demands of elite team handball with special reference to playing position. Journal of strength and conditioning research, 28(2), 430–442. https://doi.org/10.1519/JSC.0b013e3182a953b1

Póvoas, S. C., Ascensão, A. A., Magalhães, J., Seabra, A. F., Krustrup, P., Soares, J. M., & Rebelo, A. N. (2014). Analysis of fatigue development during elite male handball matches. Journal of strength and conditioning research, 28(9), 2640–2648. https://doi.org/10.1519/JSC.0000000000000424

Povoas, S. C. A., Seabra, A. F. T., Ascensao, A. A. M. R., Magalhaes, J., Soares, J. M. C., & Rebelo, A. N. C. (2012). Physical and Physiological Demands of Elite Team Handball. Journal of strength and conditioning research, 26(12), 3365-3375. https://doi.org/10.1519/JSC.0b013e318248aeee

Saal, C., Baumgart, C., Wegener, F., Ackermann, N., Sölter, F., & Hoppe, M. W. (2023). Physical match demands of four LIQUI-MOLY Handball-Bundesliga teams from 2019–2022: effects of season, team, match outcome, playing position, and halftime [Original Research]. Frontiers in Sports and Active Living, 5. https://www.frontiersin.org/articles/10.3389/fspor.2023.1183881

Stevens, L. J., Hopkins, W. G., Chittenden, J. A., Koper, B. Z., & Smith, T. B. (2024). Quantifying Offense and Defense Workloads in Professional Rugby Union. International Journal of Sports Physiology and Performance, 19(3), 307-314. https://doi.org/10.1123/ijspp.2023-0149

Torres-Ronda, L., Beanland, E., Whitehead, S., Sweeting, A., & Clubb, J. (2022). Tracking Systems in Team Sports: A Narrative Review of Applications of the Data and Sport Specific Analysis. Sports Medicine-Open, 8(1). https://doi.org/10.1186/s40798-022-00408-z

Wik, E. H., Luteberget, L. S., & Spencer, M. (2017). Activity Profiles in International Women's Team Handball Using PlayerLoad. International Journal of Sports Physiology and Performance, 12(7), 934-942. https://doi.org/10.1123/ijspp.2015-0732

Zhang, L. C., Diraneyya, M. M., Ryu, J., Haas, C. T., & Abdel-Rahman, E. M. (2019). Jerk as an indicator of physical exertion and fatigue. Automation in Construction, 104, 120-128. https://doi.org/10.1016/j.autcon.2019.04.016

Descargas

Publicado

2024-05-31

Cómo citar

Exploración de las métricas de carga externa en el balonmano de equipo: Un estudio del Campeonato Europeo Masculino Sub-20. (2024). E-Balonmano Com, 20(2), 143-154. https://doi.org/10.17398/1885-7019.20.143