Sleivert G, Mackinnon L T
Department of Human Movement Studies, University of Queensland, St. Lucia, Qld, Australia.
Eur J Appl Physiol Occup Physiol. 1991;63(2):135-9. doi: 10.1007/BF00235183.
The purpose of this study was to determine the validity and practicality of exponential vs linear backward extrapolation of the O2 recovery curve for prediction of exercise oxygen consumption (VO2). Eight men and women, age 20.1, 0.9 years, body mass 66.0, 2.5 kg (mean, SEM), completed seven bouts of cycle ergometer exercise at submaximal power outputs ranging from 50 to 175 W. Respiratory gases were collected from each subject during exercise and recovery. The monoexponential extrapolation of five recovery samples (r2 = 0.85) and linear extrapolation of one recovery sample taken during the first 20-s of recovery (r2 = 0.83) accounted for similar amounts of variance in predicting exercise VO2. The linear regression equation was the most practical predictor, as only one recovery gas sample was necessary and it did not require the complicated mathematical techniques used in exponential regression.
本研究的目的是确定氧气恢复曲线的指数与线性向后外推法预测运动耗氧量（VO₂）的有效性和实用性。八名年龄为20.1±0.9岁、体重为66.0±2.5千克（平均值±标准误）的男性和女性，以50至175瓦的次最大功率完成了七次自行车测力计运动。在运动和恢复过程中收集了每位受试者的呼吸气体。五个恢复样本的单指数外推法（r² = 0.85）和恢复开始后前20秒内采集的一个恢复样本的线性外推法（r² = 0.83）在预测运动VO₂时解释的方差量相似。线性回归方程是最实用的预测方法，因为只需要一个恢复气体样本，并且不需要指数回归中使用的复杂数学技术。
