Modelo multivariable para la planificación del entrenamiento en fútbol profesional

  1. Marcos Chena Sinovas 1
  2. José Alfonso Morcillo Losa 2
  3. María Luisa Rodríguez Hernández 1
  4. Juan Carlos Zapardiel Cortés 1
  1. 1 Universidad de Alcalá
    info

    Universidad de Alcalá

    Alcalá de Henares, España

    ROR https://ror.org/04pmn0e78

  2. 2 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

Revista:
Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte

ISSN: 1577-0354

Año de publicación: 2022

Volumen: 22

Número: 85

Páginas: 183-197

Tipo: Artículo

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Otras publicaciones en: Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte

Resumen

The aim of this study was to describe a multivariable training planning model for weekly monitoring and its periodization in relation to the dynamic competitive profile. Twenty-two professional soccer players participated in this study. Thirtycompetitive microcycles were analyzed. Thirty competitive microcycles wererecorded individually in all training sessions and competition matches through a GPS device. The results showed a loading phase with values close to those achieved in competition, but with differentiated stimuli on consecutive days, and another phase of load reduction in the form of tapering prior to competition. The weekly accumulated load showed little variability between the microcycles; an average of 0.6% was observed. Dynamic load management presented an A: C ratio that ranged from 0.89-1.13. It can be concluded that the multivariate model for planning weekly training is an effective method to monitor training load in relation to performance profile

Referencias bibliográficas

  • Barnes C, Archer TDC, Hogg B, Bush M, Bradley PS. 2014. The evolution of physical and technical performance parameters in the English Premier League. Int J Sports Med, 35:1095-100. https://doi.org/10.1055/s-0034-1375695
  • Malone JJ, Di Michele R, Morgans R, Burgess D, Morton JP, Drust B. 2015. Seasonal training-load quantification in elite English premier league soccer players. Int J Sports Physiol Perform. 10:489-497. https://doi.org/10.1123/ijspp.2014-0352
  • Bradley PS, Ade JD. 2018. Are Current Physical Match Performance Metrics in Elite Soccer Fit for Purpose or Is the Adoption of an Integrated Approach Needed? Int J Sports Physiol Perform. 13:656-664. https://doi.org/10.1123/ijspp.2017-0433
  • Lago C, Casais L, Dominguez E, Sampaio J. 2010. The effects of situational variables on distance covered at various speeds in elite soccer. Eur J of Sport Sci. 20:103-109. https://doi.org/10.1080/17461390903273994
  • Owen AL, Djaoui L, Newtonc M, Malone S, Mendesa B. 2017. A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer. Science Med Football. 1:216-221. https://doi.org/10.1080/24733938.2017.1334958
  • Gabbett TJ. 2016. The training-injury prevention paradox: should athletes be training smarter and harder? Br J Sports med. 50:273-280. https://doi.org/10.1136/bjsports-2015-095788
  • Bowen L, Gross AS, Gimpel M, Li FX. 2016. Accumulated workloads and the acute:chronic workload ratio relate to injury risk in elite youth football players. Br J Sports Med. 0:1-8. https://doi.org/10.1136/bjsports-2015-095820
  • Gabbett TJ, Domrow N. 2007. Relationships between training load, injury and fitness in sub-elite collision sport athletes. J Sport Sci. 25:1507-19. https://doi.org/10.1080/02640410701215066
  • Malone S, Owen A, Newton M, Mendes B, Collins KC, Gabbett TJ. 2017. The acute: chronic workload ratio in relation to injury risk in profesional soccer. J Sci Med Sport. 20:561-565. https://doi.org/10.1016/j.jsams.2016.10.014
  • Ehrmann FE, Duncan CS, Sindhusake D, Franzsen WN, Greene DA. 2016. GPS and injury prevention in professional soccer. J Strength Cond Res. 30:360-7. https://doi.org/10.1519/JSC.0000000000001093
  • Casamichana D, Castellano J, Calleja-Gonzalez J, San Roman J, Castagna C. 2013. Relationship between indicators of training load in soccer players. J Strength Cond Res 27: 369-374. https://doi.org/10.1519/JSC.0b013e3182548af1
  • Scott BR, Lockie RG, Knight TJ, Clark AC, De Jonge J. 2013. A comparison of methods to quantify the in-season training load of professional soccer players. Int J Sports Physiol Perform. 8:195-202. https://doi.org/10.1123/ijspp.8.2.195
  • Jaspers A, Brink MS, Probst SGM, Frencken WGP, Helsen WF. 2016. Relationship between training load indicators and training outcomes in professional soccer. Sports Med. 47:533-544. https://doi.org/10.1007/s40279-016-0591-0
  • di Prampero PE, Botter A, Osgnach C. 2015. The energy cost of sprint running and the role of metabolic power in setting top performances. Eur J Appl Physiol, 115:451-69. https://doi.org/10.1007/s00421-014-3086-4
  • Issurin VB. 2010. New horizons for the methodology and physiology of training periodization. Sports Med. 40:189-206. https://doi.org/10.2165/11319770-000000000-00000
  • Baptista I, Johansen D, Figueiredo P, Rebelo A, & Pettersen SA. 2019. Positional Differences in Peak- and Accumulated- Training Load Relative to Match Load in Elite Football. Sports. 8(1):1. doi:10.3390/sports8010001. https://doi.org/10.3390/sports8010001
  • Castellano J, Blanco-Villaseñor A, Alvarez D. 2011. Contextual Variables and Time-Motion Analysis in Soccer. Int J Sports Med. 32:415-21. https://doi.org/10.1055/s-0031-1271771
  • Bradley PS, Ade JD. Are Current Physical Match Performance Metrics in Elite Soccer Fit for Purpose or Is the Adoption of an Integrated Approach Needed? 2018. Int J Sports Physiol Perform. 13: 656-664. https://doi.org/10.1123/ijspp.2017-0433
  • Morgans R, Di Michele R, Drust B. 2018. Soccer match play as an important component of the power-training stimulus in Premier League players. Int J Sports Physiol Perform. 2:1-3. https://doi.org/10.1123/ijspp.2016-0412
  • Impellizzeri FM, Rampinini E, Coutts AJ, Sassi A, Marcora SM. 2004. Use of RPE-based training load in soccer. Med Sci Sports Exerc. 36:1042-1047. https://doi.org/10.1249/01.MSS.0000128199.23901.2F
  • Gabbett TJ, Kennelly S, Sheehan J, Hawkins R, Milsom J, King E, … Ekstrand J. 2016. If overuse injury is a "training load error", should undertraining be viewed the same way? British Journal of Sports Medicine. 50(17): 1017-1018. doi:10.1136/bjsports-2016-096308. https://doi.org/10.1136/bjsports-2016-096308
  • Kelly VG, Coutts AJ. 2007. Planning and monitoring training loads during the competition phase in team sports. Strength Cond J. 29:32-37. https://doi.org/10.1519/00126548-200708000-00005
  • Raastad T, Owe SG, Paulsen G, Enns D, Overguard K, Crameri R, Kiil S, Belcastro A, Bergersen L, Hallen J. 2010. Changes in calpain activity, muscle structure, and function after eccentric exercise. J Med Sci Sports Exerc. 42:86-95. https://doi.org/10.1249/MSS.0b013e3181ac7afa
  • Young WB, Hepner J, Robbins DW. 2012. Movement demands in Australian rules football as indicators of muscle damage. J Strength Conditioning Res. 26:492-496. https://doi.org/10.1519/JSC.0b013e318225a1c4
  • Silva JR, Rebelo A, Marques F. 2014. Biochemical impact of soccer: an analysis of hormonal, muscle damage, and redox markers during the season. Appl J Physiol Nutr Metabolism. 39:432-438. https://doi.org/10.1139/apnm-2013-0180
  • Opar MDA, Williams MD, Shield AJ. 2012. Hamstring strain injuries: factors that lead to injury and re-injury. Sports Med. 42:209-226. https://doi.org/10.2165/11594800-000000000-00000
  • Tsoukos A, Veligekas P, Brown LE, Terzis G1 Bogdanis GC. 2018. Delayed effects of a low-volume, power-type resistance exercise session on explosive performance. J Strength Cond Res. 32:643-650. https://doi.org/10.1519/JSC.0000000000001812
  • Buchheit M, Lacome M, Cholley Y, Simpson BM. 2017. Neuromuscular responses to conditioned soccer sessions assessed via gps-embedded accelerometers: Insights into tactical periodization. Int J Sports Physiol Perform. 5:1-21. https://doi.org/10.1123/ijspp.2017-0045
  • Rogalski B, Dawson B, Heasman J, Gabbett TJ. 2013. Training and game loads and injury riskin elite Australian footballers. J Sci Med Sport, 16:499-503.21. https://doi.org/10.1016/j.jsams.2012.12.004
  • Blanch P, Gabbettt TJ. 2016. Has the athlete trained enough to return to play safely? The acute:chronic workload ratio permits clinicians to quantify a player's risk of subsequent injury. Br J Sports Med, 50:471-5. https://doi.org/10.1136/bjsports-2015-095445
  • Hulin BT, Gabberr TJ, Capuyi P et al. 2016. Low chronic workload and the acute:chronic workload ratio are more predictive of injury than between-match recovery time:a two-season prospective cohort study in elite rugby league players. Br J Sports Med. 50:1008-12. https://doi.org/10.1136/bjsports-2015-094817 https://doi.org/10.1136/bjsports-2015-095364
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