Velocity at maximal oxygen uptake best predicts 3 km race time in collegiate distance runners
DOI:
https://doi.org/10.14198/jhse.2018.133.13Keywords:
Running performance, Running economy, Performance predictionAbstract
Purpose: There is a lack of scientific investigation into the predictors of 3 km race performance in collegiate distance runners. The purpose of this investigation was to determine what physiological variables best predict 3 km race time in a group of collegiate distance runners. Methods: Twenty-one endurance trained runners (11 men, 10 women) volunteered for this investigation. Running economy (RE) and maximal oxygen uptake (VO2max) testing were conducted within 9 ± 6 days of the race in a single session. All participants ran in a 3 km race at an NCAA sanctioned track meet. Pearson’s product moment correlations were performed between 3 km race time and velocity at VO2max (vVO2max), relative VO2max, RE at 9.7, 11.3, 12.9, and 14.5 km•hr-1 and percent of VO2max. A stepwise multiple regression was performed with 3 km race time as the dependent variable and independent variables of vVO2max, VO2max, RE9.7, RE11.3, RE12.9, RE14.5. Results: The results revealed that vVO2max was the best predictor of 3 km race performance in a heterogeneous group of collegiate distance runners (R2=0.90). For the men, vVO2max remained the best predictor of 3 km race performance (R2=0.49). For the women, the best predictors of 3 km performance were vVO2max and VO2max (R2=0.97). Conclusions: Distance coaches should consider emphasizing vVO2max as a primary factor in training to improve 3 km race performance and conversely, the pace achieved in a 3-km race is a good predictor of vVO2max.Funding
Loyola Marymount UniversityDownloads
References
Baumann, C.W., Rupp, J.C., Ingalls, C.P., & Doyle, J.A. (2012). Anaerobic work capacity's contribution to 5-km-race performance in female runners. International Journal of Sports Physiology and Performance, 7, 170-174. https://doi.org/10.1123/ijspp.7.2.170
Bragada, J.A., Santos, P.J., Maia, J.A., Colaco, P.J., Lopes, V.P., & Barbosa, T.A. (2010). Longitudinal study in 3,000 m male runners: Relationship between performance and selected physiological parameters. Journal of Sports Science and Medicine, 9, 439-444.
Conley, D.L. & Krahenbuhl, G.S. (1980). Running economy and distance running performance of highly trained athletes. Medicine and Science in Sports and Exercise, 12(5), 357-360. https://doi.org/10.1249/00005768-198025000-00010
Costill, D. L., Thomason, H., & Roberts, E. (1973). Fractional utilization of the aerobic capacity during distance running. Medicine and Science in Sports and Exercise, 5(4), 248-252. https://doi.org/10.1249/00005768-197300540-00007
Daniels, J. T. (1985). A physiologist's view of running economy. Medicine and Science in Sports and Exercise, 17(3) 332-338. https://doi.org/10.1249/00005768-198506000-00006
Foster, C., Costill, D. L., Daniels, J. T. & Fink, W. J. (1978). Skeletal muscle enzyme activity, fiber composition and VO2max in relation to distance running performance. European Journal of Applied Physiology, 39, 73-80. https://doi.org/10.1007/BF00421711
Grant, S., Craig, I., Wilson, J., & Aitchison, T. (1997). The relationship between running performance and selected physiological variables. Journal of Sports Sciences, 15, 403-410. https://doi.org/10.1080/026404197367191
Jones, A. M., (1998). A five year physiological case study of an olympic runner. British Journal of Sports Medicine, 32, 39-43. https://doi.org/10.1136/bjsm.32.1.39
Morgan, D. W., Baldini, F. D., Martin, P. E., & Kohrt, W. M. (1989). Ten kilometer performance and predicted velocity at VO2max among well-trained male runners. Medicine and Science in Sports and Exercise, 21(1), 78-83. https://doi.org/10.1249/00005768-198902000-00014
Noakes, T. D., Myburgh, K. H., & Schall, R. (1990). Peak treadmill velocity during the VO2max test predicts running performance. Journal of Sports Sciences, 8, 35-45. https://doi.org/10.1080/02640419008732129
Slattery, K. M., Wallace, L. K., Murphy, A. J., & Coutts, A. J. (2006). Physiological determinants of three-kilometer running performance in experienced triathletes. Journal of Strength and Conditioning Research, 20(1), 47-52.
Stratton, E., O'Brien, B. J., Harvey, J., Blitvich, J., McNicol, A. J., Janissen, D., … Knez, W. (2009). Treadmill velocity best predicts 5000-m run performance. International Journal of Sports Medicine, 30, 40-45. https://doi.org/10.1055/s-2008-1038761
Taylor, H. L., Buskirk, E., & Henschel, A. (1955). Maximal oxygen uptake as an objective measure of cardio-respiratory performance. Applied Journal of Physiology, 8, 73-80. https://doi.org/10.1152/jappl.1955.8.1.73
Yoshida, T., Udo, M., Iwai, K., Chida, M., Ichioka, M., Nakadomo, F., & Yamaguchi, T. (1990). Significance of the contribution of aerobic and anaerobic components to several distance running performances in female athletes. European Journal of Physiology, 60, 249-253. https://doi.org/10.1007/BF00379391
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