Relación entre metodologías de control de la carga en el baloncesto profesional

  1. Isaac López Laval 1
  2. Rafel Cirer Sastre 2
  3. Sebastian Sitko 1
  4. Francesc Corbi Soler 3
  5. Alejandro Vaquera Jiménez 4
  6. Julio Calleja González 5
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 Instituto Nacional de Educación Física de Cataluña
  3. 3 Institut Nacional d´Educació Física de Catalunya
  4. 4 Universidad de León
    info

    Universidad de León

    León, España

    ROR https://ror.org/02tzt0b78

  5. 5 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

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

ISSN: 1577-0354

Year of publication: 2022

Volume: 22

Issue: 87

Pages: 649-661

Type: Article

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

Abstract

The aim of this study was to determine the relationship between different load assessment methods in a professional basketball team. Twelve professional basketball players of the same team were subjected to the same training plan design and were monitored daily with heart rate monitors, GPS tools and perceived exertion scales. Results suggested that there were significant differences in training load between all monitoring methods: RPE (x2=12.4; P=.015), sRPE (x2=21.5; P<.001), TRIMP (x2=23.5; P<.001), SHRZ (x2=19.3; P<.001) and distance (x2=21.7; P<.001). Correlations were found between RPE and heart rate but not between these methods and the distance travelled during sessions: Borg (p=.19; P=79), sRPE (p=.14; P=.299) and sHR-Z (p=.17; P=.197). These results suggested that different load assessment methods render varying results in a professional basketball team. In this sample, perceived exertion rate was suggested as the best method for assessing training load in professional basketball players.

Bibliographic References

  • Aoki, M. S., Ronda, L. T., Marcelino, P. R., Drago, G., Carling, C., Bradley, P. S., & Moreira, A. (2017). Monitoring training loads in professional basketball players engaged in a periodized training program. Journal of Strength and Conditioning Research, 31(2), 348–358. https://doi.org/10.1519/JSC.0000000000001507
  • Banister, E. W., & Calvert, T. W. (1980). Planning for Future Performance-Implications for Long Term Training. Can J Appl Spt Sci, 5(3), 170-173.https://doi.org/6778623
  • Bartlett, J. D., O’Connor, F., Pitchford, N., Torres-Ronda, L., & Robertson, S. J. (2017). Relationships between internal and external training load in team-sport athletes: Evidence for an individualized approach. International Journal of Sports Physiology and Performance, 12(2), 230–234. https://doi.org/10.1123/ijspp.2015-0791
  • Berkelmans, D. M., Dalbo, V. J., Kean, C. O., Milanovic, Z., Stojanovic, E., Stojiljkovic, N., & Scanlan, A. T. (2018). Heart Rate Monitoring in Basketball: Applications, Player Responses, and Practical Recommendations. Journal of Strength and Conditioning Research, 32(8), 2383–2399. https://doi.org/10.1519/JSC.0000000000002194
  • Borg, G., & Löllgen, H. (2001). Borg’s perceived exertion and pain scales. Sage: Germany Casamichana, D., Castellano, J., Calleja-Gonzalez, J., RomaN, J. S., & Castagna, C. (2013). Relationship between indicators of training load in soccer players. Journal of Strength and Conditioning Research, 27(2), 369–374. https://doi.org/10.1519/JSC.0b013e3182548af1
  • Edwars, S. (1993). The Heart Rate Monitoring Book. CA: Fleet Press, editor. Ferioli, D., Bosio, A., La Torre, A., Carlomagno, D., Connolly, D. R., & Rampinini, E. (2018). Different training loads partially influence physiological response to the preparation period in basketball. Journal of Strength and Conditioning Research, 32(3), 790–797. http://doi: 10.1519/JSC.0000000000001823.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage: Londres.Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., Doleshal, P., & Dodge, C. (2001). A New Approach to Monitoring Exercise Training. Journal of Strength and Conditioning Research, 15(1), 109-115. https://doi.org/10.1519/1533-4287
  • Fox, J. L., Scanlan, A. T., & Stanton, R. (2017). A Review of Player Monitoring Approaches in Basketball: Current Trends and Future Directions. In Journal of Strength and Conditioning Research, 31(7), 2021-2019. https://doi.org/10.1519/JSC.0000000000001964
  • Fox, J. L., Stanton, R., Sargent, C., Wintour, S.-A., & Scanlan, A. T. (2018). The Association Between Training Load and Performance in Team Sports: A Systematic Review. Sports Medicine (Auckland, N.Z.), 48(12), 2743–2774. https://doi.org/10.1007/s402790180982-5
  • Gabbett, T. J., Nassis, G. P., Oetter, E., Pretorius, J., Johnston, N., Medina, D., Rodas, G., Myslinski, T., Howells, D., Beard, A., & Ryan, A. (2017). The athlete monitoring cycle: A practical guide to interpreting and applying training monitoring data. British Journal of Sports Medicine, 51(20), 1451–1452. https://doi.org/10.1136/bjsports-2016-097298
  • Garcia-Santos, D., Pino-Ortega, J., Garcia-Rubio, J., Vaquera, A., & Ibanez, S. J. (2019). Internal and External Demands in Basketball Referees during the U-16 European Women’s Championship. International Journal of Environmental Research and Public Health, 16(18). https://doi.org/10.3390/ijerph16183421
  • Gomez-Carmona, C. D., Pino-Ortega, J., Sanchez-Urena, B., Ibanez, S. J., & Rojas-Valverde, D. (2019). Accelerometry-Based External Load Indicators in Sport: Too Many Options, Same Practical Outcome? International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245101
  • González-Espinosa, S., García-Rubio, J., Feu, S.; Ibáñez, S.J. (2020) External Load in Basketball. According To Game Situation and Methodology. Revista Internacional de Medicina y Ciencias de la Actividad Física y el Deporte, 20 (79), 395-417.https://doi.org/10.15366/rimcafd2020.79.002
  • Haddad, M., Stylianides, G., Djaoui, L., Dellal, A., & Chamari, K. (2017). Session-RPE method for training load monitoring: Validity, ecological usefulness, and influencing factors. Frontiers in Neuroscience, 11(2), 1–13. https://doi.org/10.3389/fnins.2017.00612
  • Herrán, A., Usabiaga, O., & Castellano, J. (2017). Comparación del perfil físico entre 3x3 y 5x5 de baloncesto formativo / Physical Profile Comparison Between 3x3 and 5x5 Basketball Training. Revista Internacional de Medicina y Ciencias de La Actividad Física y Del Deporte; Núm. 67(67).https://10.15366/rimcafd2017.67.003
  • Lucía, A., Hoyos, J., Santalla, A., Earnest, C., & Chicharro, J. L. (2003). Tour de France versus Vuelta a España: Which is harder? Medicine and Science in Sports and Exercise, 35(5), 872–878. https://doi.org/10.1249/01.MSS.0000064999.82036.B4
  • Lupo, C., Tessitore, A., Gasperi, L., & Gomez, M. A. R. (2017). Session-RPE for quantifying the load of different youth basketball training sessions. Biology of Sport, 34(1), 11–17. https://doi.org/10.5114/biolsport.2017.63381
  • Maupin, D., Schram, B., Canetti, E., & Orr, R. (2020). The Relationship Between Acute: Chronic Workload Ratios and Injury Risk in Sports: A Systematic Review. Open Access Journal of Sports Medicine, 11(1), 51–75. https://doi.org/10.2147/OAJSM.S231405
  • McLaren, S. J., Macpherson, T. W., Coutts, A. J., Hurst, C., Spears, I. R., & Weston, M. (2018). The Relationships Between Internal and External Measures of Training Load and Intensity in Team Sports: A Meta-Analysis. Sports Medicine, 48(3), 641–658. https:// doi.org/10.1007/s40279-017-0830-z Moreira, A., McGuigan, M. R., Arruda, A. F. S., Freitas, C. G., & Aoki, M. S. (2012). Monitoring internal load parameters during simulated and official basketball matches. Journal of Strength and Conditioning Research, 26(3), 861–866. htpps://doi.org/10.1519/JSC.0b013e31822645e9
  • Mujika, I. (2017). Quantification of training and competition loads in endurance sports: Methods and applications. In International Journal of Sports Physiology and Performance, 12(2), 9–17. https://doi.org/10.1123/ijspp.2016-0403
  • Petway, A. J., Freitas, T. T., Calleja-Gonzalez, J., Medina Leal, D., & Alcaraz, P. E. (2020). Training load and match-play demands in basketball based on competition level: A systematic review. PloS One, 15(3), htt p:// e0229212.doi.org/10.1371/journal.pone.0229212
  • Pueo, B., Jimenez-Olmedo, J. M., Penichet-Tomas, A., Ortega Becerra, M., & Espina Agullo, J. J. (2017). Analysis of time-motion and heart rate in elite male and female beach handball. Journal of Sports Science and Medicine, 16(4), 450–458.
  • Reche-Soto, P., Cardona, D., Díaz, A., Gómez-Carmona, C., & Pino-Ortega, J. (2020). Acelt y player load: dos variables para la cuantificación de la carga neuromuscular. Revista Internacional de Medicina y Ciencias de La Actividad Física y Del Deporte, 20(77), 167–183. https://revistas.uam.es/rimcafd/article/view/rimcafd2020.77.011/11927
  • Rojas-Inda, S. (2018). Análisis de carga interna y externa de futbolistas jóvenes en juegos reducidos // Analysis of internal and external load in small games in young football players. Revista Internacional de Medicina y Ciencias de La Actividad Física y Del Deporte; Vol. 18(71). https://doi.org/http://dx.doi.org/10.15366/rimcafd2018.71.004.
  • Scanlan, A. T., Fox, J. L., Borges, N. R., Ben, J, D., & Vicent J, D. (2016). Cumulative Training Dose Alters the Interrelationships Between Common Training Load Models During Basketball Activity. International Journal of Sports Physiology and Performance, 16(4), 35–54.
  • Scanlan, A. T., Wen, N., Tucker, P. S., Borges, N. R., & Dalbo, V. J. (2014). Training mode’s influence on the relationships between training-load models during basketball conditioning. International Journal of Sports Physiology and Performance, 9(5), 851–856. https://doi.org/10.1123/ijspp.2013-0410
  • Scherr, J., Wolfarth, B., Christle, J. W., Pressler, A., Wagenpfeil, S., & Halle, M. (2013). Associations between Borg’s rating of perceived exertion and physiological measures of exercise intensity. European Journal of Applied Physiology, 113(1), 147–155. https://doi.org/10.1007/s00421-012-2421-x