Food Components and Health Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.
Physiol Meas. 2013 Jun;34(6):737-55. doi: 10.1088/0967-3334/34/6/737. Epub 2013 May 29.
This paper analyzes the accuracy of metabolic rate calculations performed in the whole room indirect calorimeter using the molar balance equations. The equations are treated from the point of view of cause-effect relationship where the gaseous exchange rates representing the unknown causes need to be inferred from a known, noisy effect-gaseous concentrations. Two methods of such inference are analyzed. The first method is based on the previously published regularized deconvolution of the molar balance equation and the second one, proposed in this paper, relies on regularized differentiation of gaseous concentrations. It is found that both methods produce similar results for the absolute values of metabolic variables and their accuracy. The uncertainty for O2 consumption rate is found to be 7% and for CO2 production--3.2%. The uncertainties in gaseous exchange rates do not depend on the absolute values of O2 consumption and CO2 production. In contrast, the absolute uncertainty in respiratory quotient is a function of the gaseous exchange rates and varies from 9.4% during the night to 2.3% during moderate exercise. The uncertainty in energy expenditure was found to be 5.9% and independent of the level of gaseous exchange. For both methods, closed form analytical formulas for confidence intervals are provided allowing quantification of uncertainty for four major metabolic variables in real world studies.
本文分析了在整个房间间接量热仪中使用摩尔平衡方程计算代谢率的准确性。这些方程是从因果关系的角度来处理的,其中代表未知原因的气体交换率需要从已知的、有噪声的效应-气体浓度中推断出来。分析了两种这样的推断方法。第一种方法基于先前发表的正则化解卷积摩尔平衡方程,第二种方法则依赖于正则化气体浓度微分。结果发现,这两种方法对于代谢变量的绝对值及其准确性都产生了相似的结果。发现 O2 消耗速率的不确定度为 7%,CO2 产生速率的不确定度为 3.2%。气体交换速率的不确定度不取决于 O2 消耗和 CO2 产生的绝对值。相反,呼吸商的绝对不确定度是气体交换速率的函数,在夜间变化范围为 9.4%,在适度运动时变化范围为 2.3%。发现能量消耗的不确定度为 5.9%,且与气体交换水平无关。对于这两种方法,都提供了置信区间的封闭形式解析公式,允许在实际研究中对四个主要代谢变量的不确定性进行量化。