Oxygen uptake plateau: calculation artifact or physiological reality?

Purpose: To test whether the oxygen uptake ([Formula: see text]) plateau at [Formula: see text] is simply a calculation artifact caused by the variability of [Formula: see text] or a clearly identifiable physiological event.Methods: Forty-six male participants performed an incremental ramp and a [Fo...

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Publicado en:European Journal of Applied Physiology Vol. 120; no. 1; pp. 231 - 243
Autores principales: Niemeyer, Max, Bergmann, Tobias G. J., Beneke, Ralph
Formato: Journal Article
Publicado: Springer Nature Jan2020
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: European Journal of Applied Physiology
      issn: 14396319
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      dt: Jan2020
      vid: 120
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      pub: Springer Nature
      place: New York, New York
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        NLM31748882
        10.1007/s00421-019-04267-7
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        atl: Oxygen uptake plateau: calculation artifact or physiological reality?
      aug:
        au:
          Niemeyer, Max
          Bergmann, Tobias G. J.
          Beneke, Ralph
        affil: Abt. Medizin, Training Und Gesundheit, Institut für Sportwissenschaft Und Motologie, Philipps-Universität Marburg, Jahnstr. 12, 35037, Marburg, Germany
      sug:
        subj:
          Physical Fitness Methods
          Artifacts
          Exercise Test Methods
          Oxygen Consumption
          Adult
          Physical Fitness Standards
          Exercise Test Standards
          Male
          Adult: 19-44 years
          Male
      ab: Purpose: To test whether the oxygen uptake ([Formula: see text]) plateau at [Formula: see text] is simply a calculation artifact caused by the variability of [Formula: see text] or a clearly identifiable physiological event.Methods: Forty-six male participants performed an incremental ramp and a [Formula: see text] verification test. Variability of the difference between adjacent sampling intervals (difference) and of the slope of the [Formula: see text]-workload relationship (slope) in the submaximal intensity domain were calculated. Workload defined sampling intervals used for the calculation of the difference and slope were systematically increased from 20 to 100 W until the expected risk of false plateau diagnoses based on the Gaussian distribution function was lower than 5%. Overall, more than 1500 differences and slopes were analyzed. Subsequently, frequencies of plateau diagnoses in the submaximal and maximal intensity domains were compared.Results: Variability of the difference and slope decreased with increasing sampling interval (p < 0.001). At a sampling interval of 50 W, the predefined acceptable risk of false plateau diagnoses (≤ 5%) was achieved. At this sampling interval, the actual frequency (1.4%) of false-positive plateau diagnoses did not differ from the expected frequency in the submaximal intensity domain (1.6%; p = 0.491). In contrast, the actual frequency at maximal intensity (35.7%) was significantly higher compared to the submaximal intensity domain (p < 0.001) and even higher than the expected frequency of false-positive diagnoses (p < 0.001).Conclusion: The [Formula: see text] plateau at [Formula: see text] represents a physiological event and no calculation artifact caused by [Formula: see text] variability. However, detecting a [Formula: see text] plateau with sufficient certainty requires large sampling intervals.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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