Cuantificación de las demandas de carrera en hockey hierba femenino mediante el uso de umbrales individualizados. [Quantification of the running demands in women`s field hockey using individualized thresholds].

Resumen

El objetivo de este estudio fue analizar las demandas de carrera del hockey hierba femenino utilizando valores relativos para determinar los umbrales de intensidad. 15 jugadoras (23,7 ± 4,1 años) fueron monitorizadas en partidos de competición oficial, utilizando un sistema de posicionamiento global (GPS). Para determinar los umbrales relativos de intensidad de carrera se usaron el test 30-15_IFT y la velocidad máxima de sprint. Los resultados muestran que existen diferencias significativas entre analizar la carrera de alta intensidad de las jugadoras de hockey con valores absolutos y valores relativos pasando de 479,8 ±134,9 m a 1116,3 ± 281,4 m); Tamaño del efecto ± 90% LC = 2,78 (2,17-3,38), distancias que se ajustan más a los esfuerzos de las jugadoras. Sin embargo, el número de sprint realizados disminuyó (de 6,26 a 3,59). Se concluye que el uso de umbrales relativos incrementa la distancia recorrida a alta intensidad en jugadoras de hockey hierba.

Abstract

The objective of this study was to analyze the running demands of women’s field hockey, using relative values to determine intensity thresholds. 15 players (23,7 ± 4,1 years) were monitored in official competition matches, using a global positioning system (GPS). To determine the thresholds relative to the intensity of the race, the 30-15IFT test and the maximum sprint speed were used. The results show that there are significant differences between the analysis of high-speed running of the hockey players with absolute and relative values, increasing from 479.8 ± 134,9 m to 1116,3 ± 281,4 m; Effect size ± 90% CL = 2,78 (2,17-3,38), distances that are more accurate to the player’s effort. However, the sprint number was decreased (from 6,26 to 3,59). The use of relative thresholds increases high-intensity running in women’s field hockey.

https://doi.org/10.5232/ricyde2019.05601

Refetencias/references

Abt, G., & Lovell, R. (2009). The use of individualized speed and intensity thresholds for determining the distance run at high-intensity in professional soccer. Journal of Sports Sciences, 27(9), 893–898.
https://doi.org/10.1080/02640410902998239

Austin, D. J.; Gabbett, T. J., & Jenkins, D. J. (2011). Repeated high-intensity exercise in a professional rugby league. Journal of Strength and Conditioning Research, 25(7), 1898–1904.
https://doi.org/10.1519/JSC.0b013e3181e83a5b

Batterham, A. M., & Hopkins, W. G. (2006). Making meaningful inferences about magnitudes. International Journal of Sports Physiology and Performance, 1(1), 50–57.
https://doi.org/10.1123/ijspp.1.1.50

Bradley, P. S.; Sheldon, W.; Wooster, B.; Olsen, P.; Boanas, P., & Krustrup, P. (2009). High-intensity running in English FA Premier League soccer matches. Journal of Sports Sciences, 27(2), 159–168.
https://doi.org/10.1080/02640410802512775

Bradley, P. S., & Vescovi, J. D. (2015). Velocity thresholds for women’s soccer matches: Sex specificity dictates high-speed-running and sprinting thresholds—Female athletes in motion (FAiM). International Journal of Sports Physiology and Performance, 10(1), 112–116.
https://doi.org/10.1123/ijspp.2014-0212

Buchheit, M. (2008). The 30-15 intermittent fitness test: Accuracy for individualizing interval training of young intermittent sport players. Journal of Strength and Conditioning Research, 22(2), 365–374.
https://doi.org/10.1519/JSC.0b013e3181635b2e

Buchheit, M.; Al Haddad, H.; Millet, G. P.; Lepretre, P. M.; Newton, M., & Ahmaidi, S. (2009). Cardiorespiratory and cardiac autonomic responses to 30-15 intermittent fitness test in team sport players. Journal of Strength and Conditioning Research, 23(1), 93–100.
https://doi.org/10.1519/JSC.0b013e31818b9721

Buchheit, M.; Mendez-villanueva, A.; Simpson, B. M., & Bourdon, P. C. (2010). Repeated-sprint sequences during youth soccer matches. International Journal of Sports Medicine, 31(10), 709–716.
https://doi.org/10.1055/s-0030-1261897

Buchheit, M.; Simpson, B. M.; Peltola, E., & Mendez-Villanueva, A. (2012). Assessing maximal sprinting speed in highly trained young soccer players. International Journal of Sports Physiology and Performance, 7(1), 76–78.
https://doi.org/10.1123/ijspp.7.1.76

Buchheit, M.; Simpson, B., & Mendez-Villanueva, A. (2013). Repeated high-speed activities during youth soccer games in relation to changes in maximal sprinting and aerobic speeds. International Journal of Sports Medicine, 34, 40–48.
https://doi.org/10.1055/s-0032-1316363

Cahill, N.; Lamb, K.; Worsfold, P.; Headey, R., & Murray, S. (2013). The movement characteristics of English Premiership rugby union players. Journal of Sports Sciences, 31(3), 229–237.
https://doi.org/10.1080/02640414.2012.727456

Clarke, A. C.; Anson, J., & Pyne, D. (2015). Physiologically based GPS speed zones for evaluating running demands in women’s rugby sevens. Journal of Sports Sciences, 33(11), 1101–1108.
https://doi.org/10.1080/02640414.2014.988740

Cohen, J. (1988). Statistical power analysis for the behavioral sciences 2nd edn. Hillsdale, NJ: Erlbaum Associates,.

Cunniffe, B.; Proctor, W.; Baker, J. S.; & Davies, B. (2009). An evaluation of the physiological demands of elite rugby union using Global Positioning System tracking software. Journal of Strength and Conditioning Research, 23(4), 1195–1203.
https://doi.org/10.1519/JSC.0b013e3181a3928b

Del Coso, J.; Portillo, J.; Salinero, J. J.; Lara, B.;Abian-Vicen, J., & Areces, F. (2016). Caffeinated energy drinks improve high-speed running in elite field hockey players. International Journal of Sport Nutrition and Exercise Metabolism, 26(1), 26–32.
https://doi.org/10.1123/ijsnem.2015-0128

Dwyer, D. B., & Gabbett, T. J. (2012). Global positioning system data analysis: Velocity ranges and a new definition of sprinting for field sport athletes. Journal of Strength and Conditioning Research, 26(3), 818–824.
https://doi.org/10.1519/JSC.0b013e3182276555

Fernández-Fernández, J. (2012). El Entrenamiento de alta intensidad, una herramienta para la mejora del rendimiento en los deportes de perfil intermitente. Revista de Entrenamiento Deportivo, 24, 5–14.

Gabbett, T. J. (2010). GPS analysis of elite womenʼs field hockey training and competition. Journal of Strength and Conditioning Research, 24(5), 1321–1324.
https://doi.org/10.1519/JSC.0b013e3181ceebbb

Gabbett, T. J. (2015). Use of relative speed zones increases the high-speed running Performed in team sport match play. Journal of Strength and Conditioning Research, 29(12), 3353–3359.
https://doi.org/10.1519/JSC.0000000000001016

Haugen, T., & Buchheit, M. (2016). Sprint running performance monitoring: Methodological and practical considerations. Sports Medicine, 46(5), 641–656.
https://doi.org/10.1007/s40279-015-0446-0

Hodun, M.; Clarke, R.; De Ste Croix, M. B. A., & Hughes, J. D. (2016). Global positioning system analysis of running performance in female field sports: A review of the literature. Strength and Conditioning Journal, 38(2), 49–56.
https://doi.org/10.1519/SSC.0000000000000200

Hopkins, W. G. (2007). A spreadhseet to compare means of two groups. Sportscience, 11, 22–23.

Hopkins, W. G.; Marshall, S. W.; Batterham, A. M., & Hanin, J. (2009). Progressive Statistics for Studies in Sports Medicine and Exercise Science. Medicine & Science in Sports & Exercise, 41(1), 3–12.
https://doi.org/10.1249/MSS.0b013e31818cb278

Lythe, J., & Kilding, A. E. (2011). Physical demands and physiological responses during elite field hockey. International Journal of Sports Medicine, 32(7), 523–528.
https://doi.org/10.1055/s-0031-1273710

MacLeod, H.;Bussell, C., & Sunderland, C. (2007). Time-motion analysis of elite women’s field hockey, with particular reference to maximum intensity movement patterns. International Journal of Performance Analysis in Sport, 7(2), 1–12.
https://doi.org/10.1080/24748668.2007.11868392

Macutkiewicz, D., & Sunderland, C. (2011). The use of GPS to evaluate activity profiles of elite women hockey players during match-play. Journal of Sports Sciences, 29(9), 967–973.
https://doi.org/10.1080/02640414.2011.570774

McGuinness, A.; Malone, S.; Petrakos, G., & Collins, K. (2018). The physical and physiological demands of elite international female field hockey players during competitive match-play. Journal of Strength and Conditioning Research, in press.
https://doi.org/10.1519/JSC.0000000000002158

McLellan, C. P., & Lovell, D. I. (2013). Performance analysis of professional, semiprofessional, and junior elite rugby league match-play using global positioning systems. Journal of Strength and Conditioning Research, 27(12), 3266–3274.
https://doi.org/10.1519/JSC.0b013e31828f1d74

Mendez-Villanueva, A.; Buchheit, M.;Simpson, B.; & Bourdon, P. (2012). Match play intensity distribution in youth soccer. International Journal of Sports Medicine, 34(2), 101–110.
https://doi.org/10.1055/s-0032-1306323

Rampinini, E.; Coutts, A.; Castagna, C.; Sassi, R., & Impellizzeri, F. (2007). Variation in top level soccer match performance. International Journal of Sports Medicine, 28(12), 1018–1024.
https://doi.org/10.1055/s-2007-965158

Reardon, C.;Tobin, D. P., & Delahunt, E. (2015). Application of individualized speed thresholds to interpret position specific running demands in elite professional rugby union: A GPS study. PLoS ONE, 10(7), 1–12.
https://doi.org/10.1371/journal.pone.0133410

Rodríguez-Baena, J., & Gálvez-González, J. (2017). Uso de la aceleración como indicador para cuantificar el número de sprints en rugby sevens femenino. Revista Internacional de Deportes Colectivos, 30, 93–104

Sell, K. M., & Ledesma, A. B. (2016). Heart rate and energy expenditure in division I field hockey players during competitive play. Journal of Strength and Conditioning Research, 30(8), 2122–2128.
https://doi.org/10.1519/JSC.0000000000001334

Scott, M. T. U.; Scott, T. J., & Kelly, V. G. (2016). The validity and reliability of global positioning systems in team sport. Journal of Strength and Conditioning Research, 30(5), 1470–1490.
https://doi.org/10.1519/JSC.0000000000001221

Scott, T. J.;Thornton, H. R.; Scott, M. T. U.; Dascombe, B. J., & Duthie, G. M. (2018). Differences between relative and absolute speed and metabolic thresholds in rugby league. International Journal of Sports Physiology and Performance, 13(3), 298-304.
https://doi.org/10.1123/ijspp.2016-0645

Sirotic, A. C.; Coutts, A. J.; Knowles, H., & Catterick, C. (2009). A comparison of match demands between elite and semi-elite rugby league competition. Journal of Sports Sciences, 27(3), 203–211.
https://doi.org/10.1080/02640410802520802

Suarez-Arrones, L.;Portillo, J.; Pareja-Blanco, F.;Sáez de Villareal, E.; Sánchez-Medina, L., & Munguía-Izquierdo, D. (2014). Match-play activity profile in elite womenʼs rugby union players. Journal of Strength and Conditioning Research, 28(2), 452–458.
https://doi.org/10.1519/JSC.0b013e3182999e2b

Vescovi, J. D. (2016). Locomotor, heart-rate, and metabolic power characteristics of youth women’s field hockey: Female athletes in motion (FAiM) study. Research Quarterly for Exercise and Sport, 87(1), 68–77.
https://doi.org/10.1080/02701367.2015.1124972

Vescovi, J. D., & Frayne, D. H. (2015). Motion characteristics of division I college field hockey: Female athletes in motion (FAiM) study. International Journal of Sports Physiology and Performance, 10(4), 476–481.
https://doi.org/10.1123/ijspp.2014-0324

White, A. D., & MacFarlane, N. G. (2015). Contextual effects on activity profiles of domestic field hockey during competition and training. Human Movement Science, 40, 422–431.
https://doi.org/10.1016/J.HUMOV.2015.01.007