Nijs Jo, Demol Seppe, Wallman Karen
Department of Human Physiology, Faculty of Physical Education & Physiotherapy, Vrije Universiteit, Brussels, Belgium.
Arch Med Res. 2007 Apr;38(3):350-3. doi: 10.1016/j.arcmed.2006.10.009. Epub 2007 Jan 30.
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.
本研究旨在探讨次最大运动水平(定义为年龄预测目标心率的75%)的生理运动变量是否能够预测慢性疲劳综合征(CFS)女性(n = 222)的运动峰值表现。受试者进行了一项自行车测力计测试,随着工作量的逐步增加,持续监测心电图和通气变量,直至力竭。次最大运动水平的摄氧量(VO2SUBMAX)与峰值摄氧量(VO2PEAK)密切相关(r = 0.70)。对于VO2PEAK的预测,线性回归分析确定最佳拟合线为:VO2PEAK = 0.95×VO2SUBMAX + 372.3。使用该方程,预测的平均误差为14.6±11.2%(范围为0.1 - 63.7%)。得出的结论是,基于VO2SUBMAX对VO2PEAK进行预测可能有助于分析组间差异或治疗效果,但不适用于个体(临床)目的。