Document Detail

A comparison of practical assessment methods to determine treadmill, cycle, and elliptical ergometer VO2 peak.
MedLine Citation:
PMID:  20393357     Owner:  NLM     Status:  MEDLINE    
This investigation compared estimated and predicted peak oxygen consumption (VO2 peak) and maximal heart rate (HRmax) among the treadmill, cycle ergometer, and elliptical ergometer. Seventeen women (mean +/- SE: 21.9 +/- 0.3 y) exercised to exhaustion on all modalities. American College of Sports Medicine metabolic equations were used to estimate VO2 peak. Digital displays on the elliptical ergometer were used to estimate VO2 peak. Two individual linear regression methods were used to predict VO2 peak: (a) 2 steady state heart rate (HR) responses up to 85% of age-predicted HRmax and (b) multiple steady state/nonsteady state HR responses up to 85% of age-predicted HRmax. Estimated VO2 peak for the treadmill (46.3 +/- 1.3 ml x kg(-1) x min(-1)) and the elliptical ergometer (44.4 +/- 1.0 ml x kg(-1) x min(-1)) did not differ. The cycle ergometer estimated VO2 peak (36.5 +/- 1.0 ml x kg(-1) x min(-1)) was lower (p < 0.001) than the estimated VO2 peak values for the treadmill and elliptical ergometer. Elliptical ergometer VO2 peak predicted from steady-state (51.4 +/- .8 ml x kg(-1) x min(-1)) and steady-state/nonsteady-state (50.3 +/- 2.0 ml x kg(-1) x min(-1)) models were higher than estimated elliptical ergometer VO2 peak, p < 0.01. HRmax, and estimates of VO2 peak were similar between the treadmill and elliptical ergometer; thus, crossmodal exercise prescriptions may be generated. The use of digital display estimates of submaximal oxygen uptake for the elliptical ergometer may not be an accurate method for predicting VO2 peak. Health-fitness professionals should use caution when utilizing submaximal elliptical ergometer digital display estimates to predict VO2 peak.
Ryan J Mays; Nicholas F Boér; Lisa M Mealey; Kevin H Kim; Fredric L Goss
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of strength and conditioning research / National Strength & Conditioning Association     Volume:  24     ISSN:  1533-4287     ISO Abbreviation:  J Strength Cond Res     Publication Date:  2010 May 
Date Detail:
Created Date:  2010-05-04     Completed Date:  2010-08-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9415084     Medline TA:  J Strength Cond Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1325-31     Citation Subset:  IM    
Division of Cardiology, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
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MeSH Terms
Cross-Sectional Studies
Exercise Test / instrumentation*,  methods
Heart Rate / physiology
Linear Models
Monitoring, Physiologic / methods*
Oxygen Consumption / physiology*
Predictive Value of Tests

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

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