IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0199794.html
   My bibliography  Save this article

Manipulating graded exercise test variables affects the validity of the lactate threshold and V˙O2peak

Author

Listed:
  • Nicholas A Jamnick
  • Javier Botella
  • David B Pyne
  • David J Bishop

Abstract

Background: To determine the validity of the lactate threshold (LT) and maximal oxygen uptake (V˙O2max) determined during graded exercise test (GXT) of different durations and using different LT calculations. Trained male cyclists (n = 17) completed five GXTs of varying stage length (1, 3, 4, 7 and 10 min) to establish the LT, and a series of 30-min constant power bouts to establish the maximal lactate steady state (MLSS). V˙O2 was assessed during each GXT and a subsequent verification exhaustive bout (VEB), and 14 different LTs were calculated from four of the GXTs (3, 4, 7 and 10 min)—yielding a total 56 LTs. Agreement was assessed between the highest V˙O2 measured during each GXT (V˙O2peak) as well as between each LT and MLSS. V˙O2peak and LT data were analysed using mean difference (MD) and intraclass correlation (ICC). Results: The V˙O2peak value from GXT1 was 61.0 ± 5.3 mL.kg-1.min-1 and the peak power 420 ± 55 W (mean ± SD). The power at the MLSS was 264 ± 39 W. V˙O2peak from GXT3, 4, 7, 10 underestimated V˙O2peak by ~1–5 mL.kg-1.min-1. Many of the traditional LT methods were not valid and a newly developed Modified Dmax method derived from GXT4 provided the most valid estimate of the MLSS (MD = 1.1 W; ICC = 0.96). Conclusion: The data highlight how GXT protocol design and data analysis influence the determination of both V˙O2peak and LT. It is also apparent that V˙O2max and LT cannot be determined in a single GXT, even with the inclusion of a VEB.

Suggested Citation

  • Nicholas A Jamnick & Javier Botella & David B Pyne & David J Bishop, 2018. "Manipulating graded exercise test variables affects the validity of the lactate threshold and V˙O2peak," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-21, July.
    • Handle: RePEc:plo:pone00:0199794
    DOI: 10.1371/journal.pone.0199794
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199794
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199794&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0199794?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Aldrich, J., 1995. "Correlations genuine and spurious in Pearson and Yule," Discussion Paper Series In Economics And Econometrics 9502, Economics Division, School of Social Sciences, University of Southampton.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cesare Granata & Nikeisha J. Caruana & Javier Botella & Nicholas A. Jamnick & Kevin Huynh & Jujiao Kuang & Hans A. Janssen & Boris Reljic & Natalie A. Mellett & Adrienne Laskowski & Tegan L. Stait & A, 2021. "High-intensity training induces non-stoichiometric changes in the mitochondrial proteome of human skeletal muscle without reorganisation of respiratory chain content," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    2. Victor A B Costa & Adrian W Midgley & Sean Carroll & Todd A Astorino & Tainah de Paula & Paulo Farinatti & Felipe A Cunha, 2021. "Is a verification phase useful for confirming maximal oxygen uptake in apparently healthy adults? A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-33, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:rdg:wpaper:em-dp2013-03 is not listed on IDEAS
    2. Karim M. Abadir & Gabriel Talmain, 2012. "Beyond Co-Integration: Modelling Co-Movements in Macro finance," Working Paper series 25_12, Rimini Centre for Economic Analysis.
    3. Serrano Cinca, C. & Mar Molinero, C. & Gallizo Larraz, J.L., 2005. "Country and size effects in financial ratios: A European perspective," Global Finance Journal, Elsevier, vol. 16(1), pages 26-47, August.
    4. Chatelain, Jean-Bernard, 2010. "Can statistics do without artefacts?," MPRA Paper 42867, University Library of Munich, Germany.
    5. Marek Hanusch, 2013. "Islam and democracy: a response," Public Choice, Springer, vol. 154(3), pages 315-321, March.
    6. Peter C. B. Phillips, 2023. "Discrete Fourier Transforms of Fractional Processes with Econometric Applications," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Theory, volume 45, pages 3-71, Emerald Group Publishing Limited.
    7. Kim, Ji-Hyun, 1999. "Spurious correlation between ratios with a common divisor," Statistics & Probability Letters, Elsevier, vol. 44(4), pages 383-386, October.
    8. Lipovetsky, Stan & Conklin, W. Michael, 2006. "Data aggregation and Simpson's paradox gauged by index numbers," European Journal of Operational Research, Elsevier, vol. 172(1), pages 334-351, July.
    9. Böddeling, Annika & Witte, Benjamin, 2011. "An investigation into the causal relation between institutions and economic development," Wittener Diskussionspapiere zu alten und neuen Fragen der Wirtschaftswissenschaft 9/2011, Witten/Herdecke University, Faculty of Management and Economics.
    10. You, Wen & Davis, George C. & Nayga, Rodolfo M., Jr. & McIntosh, Alex, 2005. "Parental Time and Children's Obesity Measures," 2005 Annual meeting, July 24-27, Providence, RI 19386, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. M. Eileen Magnello, 2009. "Karl Pearson and the Establishment of Mathematical Statistics," International Statistical Review, International Statistical Institute, vol. 77(1), pages 3-29, April.
    12. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    13. Aris Spanos, 2021. "Yule–Simpson’s paradox: the probabilistic versus the empirical conundrum," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 605-635, June.
    14. Jacques Peeperkorn, 2014. "A Proposed Model to Behaviourally Pricing Risk," Journal of Economics and Behavioral Studies, AMH International, vol. 6(6), pages 477-487.
    15. Ronald W. Michener, 2019. "Re-examination of the Empirical Evidence Concerning Colonial New Jersey's Paper Money, 1709–1775: A Comment on Farley Grubb," Econ Journal Watch, Econ Journal Watch, vol. 16(2), pages 180–217-1, September.
    16. Mora-Valencia, Andrés & Rodríguez-Raga, Santiago & Vanegas, Esteban, 2021. "Skew index: Descriptive analysis, predictive power, and short-term forecast," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    17. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    18. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    19. Roger Bjørnstad & Ragnar Nymoen, 2006. "Will it float? The New Keynesian Phillips curve tested on OECD panel data," Discussion Papers 463, Statistics Norway, Research Department.
    20. Karim M. Abadir & Gabriel Talmain, 2008. "Macro and Financial Markets: The Memory of an Elephant?," Working Paper series 17_08, Rimini Centre for Economic Analysis.
    21. Marek Ćwiklicki & Łukasz Jabłoński & Riccardo Sartori & Marius Dan Gavriletea, 2019. "The relationship between the economic development of nations and the adoption of green initiatives by companies: a statistical study on 105 countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 339-361, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0199794. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.