IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0204696.html
   My bibliography  Save this article

Accuracy of training recommendations based on a treadmill multistage incremental exercise test

Author

Listed:
  • Hendrik Mugele
  • Ashley Plummer
  • Omar Baritello
  • Maggie Towe
  • Pia Brecht
  • Frank Mayer

Abstract

Competitive runners will occasionally undergo exercise in a laboratory setting to obtain predictive and prescriptive information regarding their performance. The present research aimed to assess whether the physiological demands of lab-based treadmill running (TM) can simulate that of over-ground (OG) running using a commonly used protocol. Fifteen healthy volunteers with a weekly mileage of ≥ 20 km over the past 6 months and treadmill experience participated in this cross-sectional study. Two stepwise incremental tests until volitional exhaustion was performed in a fixed order within one week in an Outpatient Clinic research laboratory and outdoor athletic track. Running velocity (IATspeed), heart rate (IATHR) and lactate concentration at the individual anaerobic threshold (IATbLa) were primary endpoints. Additionally, distance covered (DIST), maximal heart rate (HRmax), maximal blood lactate concentration (bLamax) and rate of perceived exertion (RPE) at IATspeed were analyzed. IATspeed, DIST and HRmax were not statistically significantly different between conditions, whereas bLamax and RPE at IATspeed showed statistical significance (p

Suggested Citation

  • Hendrik Mugele & Ashley Plummer & Omar Baritello & Maggie Towe & Pia Brecht & Frank Mayer, 2018. "Accuracy of training recommendations based on a treadmill multistage incremental exercise test," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-12, October.
  • Handle: RePEc:plo:pone00:0204696
    DOI: 10.1371/journal.pone.0204696
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204696
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0204696&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0204696?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
    ---><---

    Citations

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


    Cited by:

    1. Ying-Jen Lai & Willy Chou & I-Hua Chu & Yu-Lin Wang & Yi-Jing Lin & Shihfan Jack Tu & Lan-Yuen Guo, 2020. "Will the Foot Strike Pattern Change at Different Running Speeds with or without Wearing Shoes?," IJERPH, MDPI, vol. 17(17), pages 1-9, August.

    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:pone00:0204696. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.