Can submaximal exercise variables predict peak exercise performance in women with Chronic Fatigue Syndrome?

Journal: Archives of Medical Research. 2007 Apr;38(3):350-3. E-publication 2007 Jan 30.

Authors and affiliations: Nijs J, Demol S, Wallman K. Department of Human Physiology, Faculty of Physical Education & Physiotherapy, Vrije Universiteit, Brussels, Belgium (Nijs, Demol)); Division of Musculoskeletal Physiotherapy, Department of Health Care Sciences, University College Antwerp, Antwerp, Belgium (Nijs); Human Movement & Exercise Science, University of Western Australia, Perth, Australia (Wallman).

PMID: 17350488

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 (VO(2SUBMAX)) correlated strongly with peak oxygen uptake (VO(2PEAK)) (r = 0.70). For the prediction of VO(2PEAK), linear regression analysis determined the line of best fit as: 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 VO(2PEAK) based on VO(2SUBMAX) might be useful for analyzing group differences or treatment effects but not for individual (clinical) purposes.

Key Words: submaximal, exercise test, prediction, Chronic Fatigue Syndrome, Fibromyalgia

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