Document Detail

Can submaximal exercise variables predict peak exercise performance in women with chronic fatigue syndrome?
MedLine Citation:
PMID:  17350488     Owner:  NLM     Status:  MEDLINE    
This study aimed at examining whether physiological exercise variables at the submaximal level, defined as 75% of the age-predicted target heart rate, are able to predict peak exercise performance in women with chronic fatigue syndrome (CFS) (n=222). Subjects performed a bicycle ergometric test against a graded increase in workload until exhaustion with continuous monitoring of electrocardiographic and ventilatory variables. Oxygen uptake at the submaximal level (VO2SUBMAX) correlated strongly with peak oxygen uptake (VO2PEAK) (r=0.70). For the prediction of VO2PEAK, linear regression analysis determined the line of best fit as: VO2PEAK=0.95xVO2SUBMAX+372.3. Using this equation, the mean error in the prediction was 14.6+/-11.2% (range 0.1-63.7%). It is concluded that the prediction of VO2PEAK based on VO2SUBMAX might be useful for analyzing group differences or treatment effects but not for individual (clinical) purposes.
Jo Nijs; Seppe Demol; Karen Wallman
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Publication Detail:
Type:  Journal Article     Date:  2007-01-30
Journal Detail:
Title:  Archives of medical research     Volume:  38     ISSN:  0188-4409     ISO Abbreviation:  Arch. Med. Res.     Publication Date:  2007 Apr 
Date Detail:
Created Date:  2007-03-12     Completed Date:  2007-06-05     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9312706     Medline TA:  Arch Med Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  350-3     Citation Subset:  IM    
Department of Human Physiology, Faculty of Physical Education & Physiotherapy, Vrije Universiteit, Brussels, Belgium.
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MeSH Terms
Exercise Test
Fatigue Syndrome, Chronic / physiopathology*
Heart Rate / physiology
Middle Aged
Oxygen Consumption
Physical Endurance*
Predictive Value of Tests
Statistics as Topic

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