Publication
Title
Can submaximal exercise variables predict peak exercise performance in women with chronic fatigue syndrome?
Author
Abstract
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 = 0.7). For the prediction of VO2PEAK, linear regression analysis determined the line of best fit as: VO2(PEAK) = 0.95 X VO2SUBMAX + 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. (C) 2007 IMSS. Published by Elsevier Inc.
Language
English
Source (journal)
Archives of medical research / Instituto Mexicano del Seguro Social. - México
Publication
México : 2007
ISSN
0188-4409
Volume/pages
38:3(2007), p. 350-353
ISI
000245449400014
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.01.2013
Last edited 07.08.2017
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