Characterization and reproducibility of canoe slalom simulated races: Physiological, technical and performance analysis
The aims of this study were to characterise and test the reproducibility of canoe slalom race simulations performed on two different days, analysing the physiological, technical and performance responses characteristic of the sport. Six high-performance male canoe slalom K1 athletes (age 17±2yrs) underwent two race simulations with an interval of 72 hours. The artificial course consisted of twelve gates. Each simulation was analysed the runtime, distance travelled, mean velocity; images were captured by the digital camera (JVC) and determined quantitative variables. Heart monitors (Polar, RS800x model) were used to record heart rate during race simulations and recovery; data were stored every 5 s, to determine the blood lactate concentration ([Lac]), blood samples were collected from the earlobe at rest and after 1, 3, 5, 7 and 9 min of race simulation (recovery). Tests of normality (Shapiro Wilk) and variance (Levene) were applied. The variables were compared using paired t-tests. Intraclass coefficient correlation (ICC) and Pearson product moment were used for relationship. In all cases, the level of significance was pre-fixed at 5%. Differences between the first and second simulations could not be noticed. Another important indicator was the high correlation found between the runtime (ICC=0.71), distance travelled (ICC=0.77), mean velocity (ICC=0.80) and total number of paddles (ICC=0.79). The lactate levels on minutes 3, 5, 7 and 9 also pointed towards strong correlations (ICC=0.88, ICC=0.90, ICC=0.95 and ICC=0.90 respectively), which may indicate that the adopted simulation model seems to be practicable and of great value to canoe slalom evaluations.
Achten, J., & Jeukendrup, A. E. (2003). Heart rate monitoring: applications and limitations. Sports Medicine, 33(7), 517-538. https://doi.org/10.2165/00007256-200333070-00004
Baudouin, A., & Hawkins, D. (2004). Investigation of biomechanical factors affecting rowing performance. Journal of Biomechanics, 37(7), 969-976. https://doi.org/10.1016/j.jbiomech.2003.11.011
Billat, V. L., Siverent, O., Py, G., Korallsztein, J. P., & Mercier, J. (2003). The concept of maximal lactate steady state: a bridge between biochemistry, physiology and sport science. Sports Medicine, 33, 19. https://doi.org/10.2165/00007256-200333060-00003
Bloomfield, J., Jonsson, G. K., Polman, R., Houlahan, K., & O'Donoghue, P. (2005). Temporal pattern analysis and its application in soccer The hidden structure of interaction: From neurons to culture patterns.
Borresen, J., & Lambert, M. I. (2009). The quantification of training load, the training response and the effect on performance. Sports Medicine, 39(9), 779-795. https://doi.org/10.2165/11317780-000000000-00000
Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2008). The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Medicine, 38(10), 839-862. https://doi.org/10.2165/00007256-200838100-00004
Davies, K. (2003). Utilizing digital video for game, player, training and opposition analysis. Paper presented at the Communication to the International Conference on the Science and Practice of Rugby, Brisbane, Australia.
Engel, P. C., & Jones, J. B. (1978). Causes and elimination of erratic blanks in enzymatic metabolite assays involving the use of NAD+ in alkaline hydrazine buffers: improved conditions for the assay of L-glutamate, L-lactate, and other metabolites. Anal Biochem, 88(2), 475-484. https://doi.org/10.1016/0003-2697(78)90447-5
Gordon, D., Hopkins, S., King, C., Keiller, D., & Barnes, R. J. (2011). Incidence of the plateau at VO2max in dependent on the anaerobic capacity. International Journal of Sports Medicine, 32, 6. https://doi.org/10.1055/s-0030-1267192
Gray, A. J., & Jenkins, D. G. (2010). Match analysis and the physiological demands of Australian football. Sports Medicine, 40(4), 347-360. https://doi.org/10.2165/11531400-000000000-00000
Hill-Haas, S. V., Dawson, B. T., Coutts, A. J., & Rowsell, G. J. (2009). Physiological responses and time-motion characteristics of various small-sided soccer games in youth players. Journal of Sports Science, 27(1), 1-8. https://doi.org/10.1080/02640410802206857
Hopkins, W. G., Schabort, E. J., & Hawley, J. A. (2001). Reliability of power in physical performance tests. Sports Medicine, 31(3), 211-234. https://doi.org/10.2165/00007256-200131030-00005
Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Science, 20(10), 739-754. https://doi.org/10.1080/026404102320675602
Hunter, A., Cochrane, J., & Sachlikidis, A. (2007). Canoe slalom--competition analysis reliability. Sports Biomech, 6(2), 155-170. https://doi.org/10.1080/14763140701324842
Hunter, A., Cochrane, J., & Sachlikidis, A. (2008). Canoe slalom competition analysis. Sports Biomech, 7(1), 24-37. https://doi.org/10.1080/14763140701683155
Jackson, P. S. (1995). Performance prediction for Olympic kayaks. Journal of Sports Science, 13(3), 239-245. https://doi.org/10.1080/02640419508732233
Kendal, S. J., & Sanders, R. H. (1992). The technique of elite flatwater kayak paddlers using the wing paddle. International Journal of Sports Medicine, 8, 17. https://doi.org/10.1123/ijsb.8.3.233
Lamberts, R. P., Swart, J., Capostagno, B., Noakes, T. D., & Lambert, M. I. (2010). Heart rate recovery as a guide to monitor fatigue and predict change in performance parameters. Scandinavian Journal of Medicine & Science in Sports, 20, 8. https://doi.org/10.1111/j.1600-0838.2009.00977.x
Lehmann, M., Gastmann, U., & Petersen, K. G. (1992). Training-over-training: performance and hormone levels, after a defined increase in training volume vs intensity in experienced middle and long-distance runners. British Journal of Sports Medicine, 26, 11. https://doi.org/10.1136/bjsm.26.4.233
Lima-Silva, A. E., Bertuzzi, R. C., Pires, F. O., Barros, R. V., Gagliardi, J. F., Hammond, J., Bishop, D. J. (2010). Effect of performance level on pacing strategy during a 10-km running race. European Journal of Applied Physiology, 108(5), 1045-1053. https://doi.org/10.1007/s00421-009-1300-6
Mann, R. V., & Kearney, J. T. (1980). A biomechanical analysis of the Olympic-style flatwater kayak stroke. Medicine and Science Sports Exercise, 12(3), 183-188. https://doi.org/10.1249/00005768-198023000-00010
Martin, D., Carl, K., & Lehnertz, K. (2008). Manual de Teoria do Treinamento Esportivo. São Paulo, IN: Phorte.
Matveev, L. P. (1997). Treino Desportivo: metodologia e planejamento: Phorte.
Messias, L. H. D., Reis, I. M., Ferrari, H. G., & Manchado-Gobatto, F. B. (2014). Physiological, psychological and biomechanical parameters applied in canoe slalom training: a review. International Journal of Performance Analysis in Sport, 14, 24-41. https://doi.org/10.1080/24748668.2014.11868700
Michael, J. S., Rooney, K. B., & Smith, R. (2008). The metabolic demands of kayaking: A review. Journal of Sports Science and Medicine, 7, 7.
Michael, J. S., Smith, R., & Rooney, K. (2010). Physiological responses to kayaking with a swivel seat. International Journal of Sports Medicine, 31(8), 555-560. https://doi.org/10.1055/s-0030-1252053
Mujika, I. (2010). Intense training: the key to optimal performance before and during the taper. Scandinavian Journal of Medicine & Science in Sports, 20, 7. https://doi.org/10.1111/j.1600-0838.2010.01189.x
Nibali, M., Hopkins, W. G., & Drinkwater, E. (2011). Variability and predictability of elite competitive salom-kayak performance. European Journal of Sport Science, 11, 5. https://doi.org/10.1080/17461391.2010.487121
Samphao, S., Wheeler, A. J., Rafferty, E., Michaelson, J. S., Specht, M. C., Gadd, M. A., Smith, B. L. (2009). Diagnosis of breast cancer in women age 40 and younger: delays in diagnosis result from underuse of genetic testing and breast imaging. Am J Surg, 198(4), 538-543. https://doi.org/10.1016/j.amjsurg.2009.06.010
Schokman, P., Le Rossignol, P. F., & Sparrow, W. A. (2002). Validity and reliability of a voice-recognition game analysis system for field sports. Journal of Science Medicine Sport, 5(4), 362-371. https://doi.org/10.1016/S1440-2440(02)80025-1
Shephard, R. J. (1987). Science and medicine of canoeing and kayaking. Sports Medicine, 4(1), 19-33. https://doi.org/10.2165/00007256-198704010-00003
Takahashi, S., Wakayoshi, K., Hayashi, A., Sakaguchi, Y., & Kitagawa, K. (2009). A method for determining critical swimming velocity. International Journal of Sports Medicine, 30(2), 119-123. https://doi.org/10.1055/s-2008-1039164
Tanskanen, M., Uusitalo, A. L., Hakkinen, K., Nissila, J., Santtila, M., Westerterp, K. R., & Kyrolainen, H. (2009). Aerobic fitness, energy balance, and body mass index are associated with training load assessed by activity energy expenditure. Scandinavian Journal Medicine Science Sports, 19(6), 871-878. https://doi.org/10.1111/j.1600-0838.2008.00857.x
Vieira, N. A., Messias, L. H. D., Terezani, D., Borin, J. P., Cunha, S. A., Oliveira, R. M., & Manchado-Gobatto, F. B. (2011). Relationship among load training, aerobic/anaerobic parameters and performance during 22-weekes of slalom kayakers training. Paper presented at the 16th Congress of the European College of Sports science.
Vieira, N. A., Terezani, D., Schimdt, A., Cesar, M. C., Pellegrinotti, I. L., & Manchado-Gobatto, F. B. (2010). Simulation race on slalom kayak: time of course, number of strokes and blood lactate. Paper presented at the 15th Congress of the European College of Sports science.
Zamparo, P., Tomadini, S., Didone, F., Grazzina, F., Rejc, E., & Capelli, C. (2006). Bioenergetics of a slalom kayak (k1) competition. Int J Sports Med, 27(7), 546-552. https://doi.org/10.1055/s-2005-865922