Francescato Maria Pia, Cettolo Valentina
Department of Medicine, University of Udine, P.le Kolbe 4, 33100, Udine, Italy.
Eur J Appl Physiol. 2025 Mar;125(3):781-791. doi: 10.1007/s00421-024-05629-6. Epub 2024 Oct 17.
Gas exchange data acquired repeatedly under the same exercise conditions are assembled together to improve the kinetic parameters of breath-by-breath oxygen uptake. The latter are provided by the non-linear regression procedure, together with the corresponding estimators of the width of the Confidence Intervals (i.e., the Asymptotic Standard Errors; ASEs). We tested, for two different assembling procedures, whether the range of values identified by the ASE actually correspond to the 95% Confidence Interval. Ten O uptake responses were acquired on 10 healthy volunteers performing a square-wave moderate-intensity exercise. Kinetic parameters were estimated running the non-linear regression with a mono-exponential model on an increasingly greater number of responses (Nr, from 1 to 10), assembled together using the "stacking" and the "1-s-bins" procedures. Kinetic values obtained assembling together the 10 repetitions were assumed as "true" values. The time constant was not affected by Nr or by the assembling procedure (ANOVA; p>0.54 and p>0.16, respectively). The corresponding ASE decreased according to Nr (ANOVA; p=0.000), being significantly smaller for the "1-s-bins" procedure compared to the "stacking" one (ANOVA; p<0.001). Excluding 20s at the start of the fitting window, the range of values identified with the ASE provided by the "1-s-bins" and the "stacking" procedures included the "true" value in 85% and in 95% of cases, respectively. The "stacking" procedure should be preferred since it yielded ASEs for the time constant that provided a range of values satisfying the statistical meaning of the width of the Confidence Intervals, at the given degree of probability.
在相同运动条件下反复获取的气体交换数据被汇总在一起,以改善逐次呼吸摄氧量的动力学参数。后者由非线性回归程序提供,同时还提供置信区间宽度的相应估计值(即渐近标准误差;ASEs)。我们针对两种不同的汇总程序,测试了由ASE确定的值范围是否实际对应于95%置信区间。对10名进行方波中等强度运动的健康志愿者获取了10次摄氧量反应。使用“堆叠”和“1-s-区间”程序,将越来越多的反应(Nr,从1到10)汇总在一起,通过单指数模型进行非线性回归来估计动力学参数。将10次重复汇总在一起获得的动力学值被视为“真实”值。时间常数不受Nr或汇总程序的影响(方差分析;p分别>0.54和p>0.16)。相应的ASE根据Nr而降低(方差分析;p = 0.000),“1-s-区间”程序的ASE明显小于“堆叠”程序(方差分析;p<0.001)。在拟合窗口开始时排除20秒,“1-s-区间”和“堆叠”程序提供的ASE所确定的值范围分别在85%和95%的情况下包含“真实”值。应首选“堆叠”程序,因为它为时间常数产生的ASE所提供的值范围在给定概率程度上满足置信区间宽度的统计意义。