Determinants of time trial performance and maximal incremental exercise in highly trained endurance athletes

Robert Acton Jacobs, Peter Rasmussen, Christoph Siebenmann, Víctor Díaz, Max Gassmann, Dominik Pesta, Erich Gnaiger, Nikolai Baastrup Nordsborg, Paul Robach, Carsten Lundby

    102 Citations (Scopus)

    Abstract

    Human endurance performance can be predicted from maximal oxygen consumption (VO 2max), lactate threshold, and exercise efficiency. These physiological parameters, however, are not wholly exclusive from one another, and their interplay is complex. Accordingly, we sought to identify more specific measurements explaining the range of performance among athletes. Out of 150 separate variables we identified 10 principal factors responsible for hematological, cardiovascular, respiratory, musculoskeletal, and neurological variation in 16 highly trained cyclists. These principal factors were then correlated with a 26-km time trial and test of maximal incremental power output. Average power output during the 26-km time trial was attributed to, in order of importance, oxidative phosphorylation capacity of the vastus lateralis muscle (P = 0.0005), steady-state submaximal blood lactate concentrations (P = 0.0017), and maximal leg oxygenation (sO 2LEG) (P = 0.0295), accounting for 78% of the variation in time trial performance. Variability in maximal power output, on the other hand, was attributed to total body hemoglobin mass (Hb mass; P = 0.0038), VO2max (P = 0.0213), and sO 2LEG (P = 0.0463). In conclusion, 1) skeletal muscle oxidative capacity is the primary predictor of time trial performance in highly trained cyclists; 2) the strongest predictor for maximal incremental power output is Hb mass; and 3) overall exercise performance (time trial performance + maximal incremental power output) correlates most strongly to measures regarding the capability for oxygen transport, highVO2max and Hb mass, in addition to measures of oxygen utilization, maximal oxidative phosphorylation, and electron transport system capacities in the skeletal muscle.

    Original languageEnglish
    JournalJournal of Applied Physiology
    Volume111
    Issue number5
    Pages (from-to)1422-1430
    Number of pages9
    ISSN8750-7587
    DOIs
    Publication statusPublished - Nov 2011

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