Document Detail


Do regression-based computer algorithms for determining the ventilatory threshold agree?
MedLine Citation:
PMID:  18569563     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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% VO2max) to 3.13 litres.min(-1) (90% VO2max) in Sample 1 and from 2.37 litres.min(-1) (67% VO2max) to 3.03 litres.min(-1) (83% VO2max) 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.
Authors:
Panteleimon Ekkekakis; Erik Lind; Eric E Hall; Steven J Petruzzello
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of sports sciences     Volume:  26     ISSN:  0264-0414     ISO Abbreviation:  J Sports Sci     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-06-23     Completed Date:  2008-11-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8405364     Medline TA:  J Sports Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  967-76     Citation Subset:  IM    
Affiliation:
Department of Kinesiology, Iowa State University, Ames, Iowa 50011, USA. ekkekaki@iastate.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms*
Anaerobic Threshold / physiology*
Computers
Female
Humans
Male
Pulmonary Gas Exchange / physiology*
Regression Analysis
Reproducibility of Results

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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