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Physiological determinants of elite mountain bike cross-country Olympic performance

Authors :
Nikolai Baastrup Nordsborg
Jacob Bejder
Thomas Christian Bonne
Michael Nyberg
Kim A. Sjøberg
Source :
Bejder, J, Bonne, T C, Nyberg, M P, Sjøberg, K A & Nordsborg, N B 2019, ' Physiological determinants of elite mountain bike cross-country Olympic performance ', Journal of Sports Sciences, vol. 37, no. 10, pp. 1154-1161 . https://doi.org/10.1080/02640414.2018.1546546
Publication Year :
2018
Publisher :
Informa UK Limited, 2018.

Abstract

Detailed physiological phenotyping was hypothesized to have predictive value for Olympic distance cross-country mountain bike (XCO-MTB) performance. Additionally, mean (MPO) and peak power output (PPO) in 4 × 30 s all-out sprinting separated by 1 min was hypothesized as a simple measure with predictive value for XCO-MTB performance. Parameters indicative of body composition, cardiovascular function, power and strength were determined and related to XCO-MTB national championship performance (n = 11). Multiple linear regression demonstrated 98% of the variance (P < 0.001) in XCO-MTB performance (tXCO-MTB; [min]) is explained by maximal oxygen uptake relative to body mass (VO2peak,rel; [ml/kg/min]), 30 s all-out fatigue resistance (FI; [%]) and with a minor contribution from quadriceps femoris maximal torque (Tmax; [Nm]): tXCO-MTB = -0.217× VO2peak,rel.-0.201× FI+ 0.012× Tmax+ 85.4. Parameters with no additional predictive value included hemoglobin mass, leg peak blood flow, femoral artery diameter, knee-extensor peak workload, jump height, quadriceps femoris maximal voluntary contraction force and rate of force development. Additionally, multiple linear regression demonstrated parameters obtained from 4x30s repeated sprinting explained 88% of XCO-MTB variance (P < 0.001) with tXCO-MTB = -5.7× MPO+ 5.0× PPO+ 55.9. In conclusion, XCO-MTB performance is predictable from VO2peak,rel and 30 s all-out fatigue resistance. Additionally, power variables from a repeated sprint test provides a cost-effective way of monitoring athletes XCO-MTB performance.

Details

ISSN :
1466447X and 02640414
Volume :
37
Database :
OpenAIRE
Journal :
Journal of Sports Sciences
Accession number :
edsair.doi.dedup.....13e8daae0ec59698ae3c172a6658a13f
Full Text :
https://doi.org/10.1080/02640414.2018.1546546