Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 5

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The validity of the Moxus Modular metabolic system during incremental exercise tests: impacts on detection of small changes in oxygen consumption

Beltrami, Fernando G., Froyd, Christian, Mamen, Asgeir, Noakes, Timothy D.·2014·European Journal of Applied Physiology
DOI 10.1007/s00421-014-2825-x
Open this paper in CoChat — free account

Abstract

Purpose We investigated the accuracy of the Moxus Modular Metabolic System (MOXUS) against the Douglas Bag Method (DBM) during high-intensity exercise, and whether the two methods agreed when detecting small changes in [Formula: see text] between two consecutive workloads ([Formula: see text]). Methods Twelve trained male runners performed two maximal incremental running tests while gas exchange was analyzed simultaneously by the two systems using a serial setup for four consecutive intervals of 30 s on each test. Comparisons between methods were performed for [Formula: see text], [Formula: see text], fractions of expired O2 (FeO2) and CO2 (FeCO2) and [Formula: see text]. Results The MOXUS produced significant higher (mean ± SD, n = 54) readings for [Formula: see text] (80 ± 200 mL min(-1), p = 0.005) and [Formula: see text] (2.9 ± 4.2 L min(-1), p Discussion Although it was tested during high-intensity exercise and short sampling intervals, the MOXUS performed within the acceptable range of accuracy reported for automated analyzers. Most of the differences between equipments were due to differences in [Formula: see text]. Detecting small changes in [Formula: see text] during an incremental test with small changes in workload, however, might be beyond the equipment's accuracy.

Overview

Integrity signals

Registry

Crossref · 10.1007/s00421-014-2825-x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 36

  1. Astorino TA (2009) Alterations in VO2max and the VO2 plateau with manipulation of sampling interval. Clin Physiol Funct Imaging 29:60–67 · DOI
  2. Atkinson G, Nevill AM (1998) Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 26:217–238 · DOI
  3. Atkinson G, Davison RC, Nevill AM (2005) Performance characteristics of gas analysis systems: what we know and what we need to know. Int J Sports Med 26(Suppl 1):S2–S10 · DOI
  4. Auchincloss JH Jr, Gilbert R, Bowman RP, Baule GH (1971) Determination of maximal oxygen uptake with unsteady-state measurements. J Appl Physiol 31:191–197 · DOI
  5. Bassett DR Jr, Howley ET, Thompson DL, King GA, Strath SJ, McLaughlin JE, Parr BB (2001) Validity of inspiratory and expiratory methods of measuring gas exchange with a computerized system. J Appl Physiol 91:218–224 · DOI · Paper page
  6. Beltrami FG, Froyd C, Mauger AR, Metcalfe AJ, Marino F, Noakes TD (2012) Conventional testing methods produce submaximal values of maximum oxygen consumption. Br J Sports Med 46(1):23–29 · DOI
  7. Bland JM, Altman DG (1995) Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 346:1085–1087 · DOI · Paper page
  8. Bland JM, Altman DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8:135–160 · DOI · Paper page
  9. Carter J, Jeukendrup AE (2002) Validity and reliability of three commercially available breath-by-breath respiratory systems. Eur J Appl Physiol 86:435–441 · DOI
  10. Crouter S, Antczak A, Hudak J, DellaValle D, Haas J (2006) Accuracy and reliability of the Parvo Medics TrueOne 2400 and MedGraphics VO2000 metabolic systems. Eur J Appl Physiol 98:139–151 · DOI · Paper page
  11. Doherty M, Nobbs L, Noakes TD (2003) Low frequency of the “plateau phenomenon” during maximal exercise in elite British athletes. Eur J Appl Physiol 89:619–623 · DOI
  12. Duffield R, Dawson B, Pinnington HC, Wong P (2004) Accuracy and reliability of a Cosmed K4b2 portable gas analysis system. J Sci Med Sport 7:11–22 · DOI · Paper page
  13. Foss A, Hallen J (2004) Validity and stability of a computerized metabolic system with mixing chamber. Int J Sports Med 26:569–575 · DOI
  14. Gore CJ, Clark RJ, Shipp NJ, Van Der Ploeg GE, Withers RT (2003) CPX/D underestimates VO (2) in athletes compared with an automated Douglas bag system. Med Sci Sports Exerc 35:1341 · DOI
  15. Hodges LD, Brodie DA, Bromley PD (2005) Validity and reliability of selected commercially available metabolic analyzer systems. Scand J Med Sci Sports 15:271–279 · DOI
  16. Howley ET (2007) VO2max and the plateau—needed or not? Med Sci Sports Exerc 39:101–102 · DOI
  17. Howley ET, Bassett DR, Welch HG (1995) Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc 27:1292 · DOI · Paper page
  18. Jakovljevic DG, Nunan D, Donovan G, Hodges LD, Sandercock GRH, Brodie DA (2008) Lack of agreement between gas exchange variables measured by two metabolic systems. J Sports Sci Med 7:15–22
  19. Kim DY, Robergs RA (2012) Validation of a new mixing chamber system for breath-by-breath indirect calorimetry. Appl Physiol Nutr Metab 37:157–166 · DOI
  20. La Mere VJ, Brown K, Wigglesworth JK, Edwards JE (1993) Reproducibility between three metabolic systems and validation by Douglas Bag method. Med Sci Sports Exerc 225:S9 · DOI
  21. Macfarlane DJ (2001) Automated metabolic gas analysis systems: a review. Sports Med 31:841–861 · DOI
  22. Macfarlane DJ, Wong P (2012) Validity, reliability and stability of the portable Cortex Metamax 3B gas analysis system. Eur J Appl Physiol 112:2539–2547 · DOI
  23. Macfarlane DJ, Wu HL (2013) Inter-unit variability in two Parvo Medics TrueOne 2400 automated metabolic gas analysis systems. Eur J Appl Physiol 113:753–762 · DOI
  24. Medbo JI, Mamen A, Welde B, von Heimburg E, Stokke R (2002) Examination of the Metamax I and II oxygen analysers during exercise studies in the laboratory. Scand J Clin Lab Invest 62:585–598 · DOI
  25. Medbo JI, Mamen A, Beltrami FG (2012) Examination of the Moxus Modular Metabolic System by the Douglas-bag technique. Appl Physiol Nutr Metab 37:860–871 · DOI
  26. Meyer T, Scharhag J, Kindermann W (2005) Peak oxygen uptake. Myth and truth about an internationally accepted reference value. Z Kardiol 94:255–264 · DOI
  27. Midgley AW, Carroll S (2009) Emergence of the verification phase procedure for confirming ‘true’ VO(2max). Scand J Med Sci Sports 19(3):313–322 · DOI
  28. Midgley AW, McNaughton LR, Carroll S (2007) Effect of the VO2 time-averaging interval on the reproducibility of VO2max in healthy athletic subjects. Clin Physiol Funct Imaging 27:122–125 · DOI
  29. Nevill AM, Atkinson G (1997) Assessing agreement between measurements recorded on a ratio scale in sports medicine and sports science. Br J Sports Med 31:314–318 · DOI
  30. Noakes TD, St Clair GA (2004) Logical limitations to the “catastrophe” models of fatigue during exercise in humans. Br J Sports Med 38:648–649 · DOI
  31. Reybrouck T, Deroost F, Van der Hauwaert LG (1992) Evaluation of breath-by-breath measurement of respiratory gas exchange in pediatric exercise testing. Chest 102:147–152 · DOI
  32. Rietjens GJ, Kuipers H, Kester AD, Keizer HA (2001) Validation of a computerized metabolic measurement system (Oxycon-Pro) during low and high intensity exercise. Int J Sports Med 22:291–294 · DOI
  33. Rosdahl H, Lindberg T, Edin F, Nilsson J (2013) The Moxus Modular metabolic system evaluated with two sensors for ventilation against the Douglas Bag method. Eur J Appl Physiol 113(5):1353–1367 · DOI
  34. Salier EJ, Rosdahl H, Schantz P (2012) Validity of the Oxycon Mobile metabolic system under field measuring conditions. Eur J Appl Physiol 112:345–355 · DOI
  35. Taylor HL, Buskirk E, Henschel A (1955) Maximal oxygen intake as an objective measure of cardio-respiratory performance. J Appl Physiol 8:73–80 · DOI
  36. Wilmore JH, Davis JA, Norton AC (1976) An automated system for assessing metabolic and respiratory function during exercise. J Appl Physiol 40:619–624 · DOI

Cited by

See all 5

Metadata

Authors
Beltrami, F. G., Froyd, C., Mamen, A., & Noakes, T. D.
Venue
European Journal of Applied Physiology
Publisher
Springer Science and Business Media LLC
Published
2014-01-30
Volume
114
Issue
5
Pages
941-950
ISSN
  • 1439-6319
  • 1439-6327
DOI
10.1007/s00421-014-2825-x
Cited by
5
References
2
Language
en
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.