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Journal Abstract Search

182 related items for PubMed ID: 24088710

  • 1. Predicting cycling performance in trained to elite male and female cyclists.
    Lamberts RP.
    Int J Sports Physiol Perform; 2014 Jul; 9(4):610-4. PubMed ID: 24088710
    [Abstract] [Full Text] [Related]

  • 2. A novel submaximal cycle test to monitor fatigue and predict cycling performance.
    Lamberts RP, Swart J, Noakes TD, Lambert MI.
    Br J Sports Med; 2011 Aug; 45(10):797-804. PubMed ID: 19622525
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  • 3. Allometric scaling and predicting cycling performance in (well-) trained female cyclists.
    Lamberts RP, Davidowitz KJ.
    Int J Sports Med; 2014 Mar; 35(3):217-22. PubMed ID: 23900902
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  • 4. Allometric scaling of peak power output accurately predicts time trial performance and maximal oxygen consumption in trained cyclists.
    Lamberts RP, Lambert MI, Swart J, Noakes TD.
    Br J Sports Med; 2012 Jan; 46(1):36-41. PubMed ID: 21821613
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  • 5. Reliability of recovery heart rate variability measurements as part of the Lamberts Submaximal Cycle Test and the relationship with training status in trained to elite cyclists.
    Lamberts RP, van Erp T, Javaloyes A, Eken MM, Langerak NG, Tam N.
    Eur J Appl Physiol; 2024 Jun; 124(6):1659-1668. PubMed ID: 38198009
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  • 9. Measuring submaximal performance parameters to monitor fatigue and predict cycling performance: a case study of a world-class cyclo-cross cyclist.
    Lamberts RP, Rietjens GJ, Tijdink HH, Noakes TD, Lambert MI.
    Eur J Appl Physiol; 2010 Jan; 108(1):183-90. PubMed ID: 19921241
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  • 14. A Systematic Review of Submaximal Cycle Tests to Predict, Monitor, and Optimize Cycling Performance.
    Capostagno B, Lambert MI, Lamberts RP.
    Int J Sports Physiol Perform; 2016 Sep; 11(6):707-714. PubMed ID: 27701968
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  • 15. Are peak oxygen uptake and power output at maximal lactate steady state obtained from a 3-min all-out cycle test?
    Sperlich B, Haegele M, Thissen A, Mester J, Holmberg HC.
    Int J Sports Med; 2011 Jun; 32(6):433-7. PubMed ID: 21380963
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  • 16. Reliability and validity of a new variable-power performance test in road cyclists.
    Sharma AP, Elliott AD, Bentley DJ.
    Int J Sports Physiol Perform; 2015 Apr; 10(3):278-84. PubMed ID: 25117436
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  • 17. Improved respiratory muscle endurance of highly trained cyclists and the effects on maximal exercise performance.
    Fairbarn MS, Coutts KC, Pardy RL, McKenzie DC.
    Int J Sports Med; 1991 Feb; 12(1):66-70. PubMed ID: 2030063
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  • 18. Reliability of physiological attributes and their association with stochastic cycling performance.
    Levin GT, Laursen PB, Abbiss CR.
    Int J Sports Physiol Perform; 2014 Mar; 9(2):309-15. PubMed ID: 23881270
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  • 19. The influence of training status, age, and muscle fiber type on cycling efficiency and endurance performance.
    Hopker JG, Coleman DA, Gregson HC, Jobson SA, Von der Haar T, Wiles J, Passfield L.
    J Appl Physiol (1985); 2013 Sep 01; 115(5):723-9. PubMed ID: 23813527
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  • 20. Strength training improves performance and pedaling characteristics in elite cyclists.
    Rønnestad BR, Hansen J, Hollan I, Ellefsen S.
    Scand J Med Sci Sports; 2015 Feb 01; 25(1):e89-98. PubMed ID: 24862305
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