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THE JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS

Rivista di Medicina, Traumatologia e Psicologia dello Sport


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The Journal of Sports Medicine and Physical Fitness 2017 Apr 28

DOI: 10.23736/S0022-4707.17.07139-0

Copyright © 2017 EDIZIONI MINERVA MEDICA

lingua: Inglese

Physiological performance predictors in mountain bike multi-stage races

Louise ENGELBRECHT, Elmarie TERBLANCHE

Department of Sport Science, Stellenbosch University, Stellenbosch, South Africa


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BACKGROUND: The study set out to identify physiological variables that may predict performance in The Cape Epic, an 8-day multi-stage mountain bike (MTB) race held annually in South Africa.
METHODS: Twenty four amateur riders underwent VO2max testing within the 8 weeks prior to the event. Blood lactate measurements were taken to determine the power output corresponding to a fixed lactate concentration of 2 (LT2) and 4 mmol.l-1 (OBLA) during the incremental test. Total race time was selected as dependent variable.
RESULTS: Absolute power output at LT2 (POLT2) had the strongest correlation (r = -0.80; CI: -0.91 to -0.59) with total race time. In general, absolute physiological variables, compared with relative values, correlated more favourably with total race time, suggesting that body mass may be of lesser importance in these longer events. Relative correlations were stronger when normalized to an exponent of 0.79. The correlations for VO2max and end maximal lactate with total race time were negligible (r = -0.14, CI: -0.51 to 0.28) ; r = 0.03, CI: -0.32 to 0.43).
CONCLUSIONS: The findings emphasize the importance of a well- developed aerobic system in multi-day MTB stage races and that riders should focus on developing a high sustainable sub maximal power output in order to complete the race in the shortest possible time.


KEY WORDS: Mountain bike - Stage-races - Performance - Physiological - Predictors

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Engelbrecht L, Terblanche E. Physiological performance predictors in mountain bike multi-stage races. J Sports Med Phys Fitness 2017 Apr 28. DOI: 10.23736/S0022-4707.17.07139-0 

Corresponding author e-mail

louisee@sun.ac.za