Do regression-based computer algorithms for determining the ventilatory threshold agree?

The determination of the ventilatory threshold has been a persistent problem in research and clinical practice. Several computerized methods have been developed to overcome the subjectivity of visual methods but it remains unclear whether different computerized methods yield similar results. The pur...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Sports Sciences Vol. 26; no. 9; pp. 967 - 977
Autores principales: Ekkekakis P, Lind E, Hall EE, Petruzzello SJ
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul2008
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105665596&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 105665596
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        02640414
        5BV
      jtl: Journal of Sports Sciences
      issn: 02640414
      maglogo: Y
    pubinfo:
      dt: Jul2008
      vid: 26
      iid: 9
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        105665596
        105665596
        2009984500
        10.1080/02640410801910269
        NLM18569563
        105665596
      ppf: 967
      ppct: 10
      formats:
      tig:
        atl: Do regression-based computer algorithms for determining the ventilatory threshold agree?
      aug:
        au:
          Ekkekakis P
          Lind E
          Hall EE
          Petruzzello SJ
        affil: Department of Kinesiology, Iowa State University, Ames, Iowa.
      sug:
        subj:
          Algorithms
          Data Analysis, Computer Assisted
          Pulmonary Gas Exchange Evaluation
          Regression
          Adult
          Analysis of Variance
          Bivariate Statistics
          Comparative Studies
          Exercise Test, Cardiopulmonary
          Female
          Illinois
          Male
          Models, Statistical
          Oxygen Consumption Evaluation
          Paired T-Tests
          Pearson's Correlation Coefficient
          Spearman's Rank Correlation Coefficient
          Treadmills
          Human
          Adult: 19-44 years
          Female
          Male
      ab: The determination of the ventilatory threshold has been a persistent problem in research and clinical practice. Several computerized methods have been developed to overcome the subjectivity of visual methods but it remains unclear whether different computerized methods yield similar results. The purpose of this study was to compare nine regression-based computerized methods for the determination of the ventilatory threshold. Two samples of young and healthy volunteers (n = 30 each) participated in incremental treadmill protocols to volitional fatigue. The ventilatory data were averaged in 20-s segments and analysed with a computer program. Significant variance among methods was found in both samples (Sample 1: F = 11.50; Sample 2: F = 11.70, P < 0.001 for both). The estimates of the ventilatory threshold ranged from 2.47 litres . min(-1) (71%[Vdot]O(2max)) to 3.13 litres . min(-1) (90%[Vdot]O(2max)) in Sample 1 and from 2.37 litres . min(-1) (67%[Vdot]O(2max)) to 3.03 litres . min(-1) (83%[Vdot]O(2max)) in Sample 2. The substantial differences between methods challenge the practice of relying on any single computerized method. A standardized protocol, likely based on a combination of methods, might be necessary to increase the methodological consistency in both research and clinical practice.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N