Khalaj-Hedayati Kerstin, Bosy-Westphal Anja, Müller Manfred J, Dittmar Manuela
Department of Human Biology, Zoological Institute, Christian-Albrechts-University, 24118 Kiel, Germany.
Nutr Res. 2009 Aug;29(8):531-41. doi: 10.1016/j.nutres.2009.08.001.
The BIOPAC indirect calorimeter for measuring resting energy expenditure (REE) is less cumbersome than many other calorimeters. We tested the hypothesis that the BIOPAC calorimeter is as well suited for determining REE in older people as traditional calorimeters. In 50 healthy persons (24 men and 26 women; age range, 61-83 years), REE by BIOPAC was validated against Vmax Spectra indirect calorimeter as a criterion method. Resting energy expenditure by BIOPAC was recorded at 2 different time intervals to find optimal conditions for older persons. Also, REE by 7 published equations was validated. The Bland-Altman procedure was used to test agreement between methods. Multiple regression analysis was applied to develop a new equation for predicting REE from BIOPAC. The BIOPAC calorimeter and most empirical equations significantly overpredicted mean REE in both sexes. Mifflin's equation best-predicted mean REE. Limits of agreement were wide for BIOPAC and narrow for most empirical equations. The Lührmann and Müller equations had smallest limits of agreement in men (+/-950 kJ/24 h) and the Harris-Benedict and Müller equations in women (+/-672 kJ/24 h). A new equation was developed for the BIOPAC device improving both predictions of mean and individual REE (R(2) = 0.671, standard error of the estimate = 136 kJ/24 h). Using this equation, 72.9% of subjects were lying within 10% of measured REE, compared with only 12.5% when using the manufacturer's algorithm. In conclusion, the BIOPAC calorimeter is suitable for measuring REE in healthy older adults when the new prediction equation is applied. This calorimeter is not applicable to frail older persons.
用于测量静息能量消耗（REE）的BIOPAC间接热量计比许多其他热量计更轻便。我们检验了这样一个假设：BIOPAC热量计与传统热量计一样适合于测定老年人的REE。在50名健康人（24名男性和26名女性；年龄范围61 - 83岁）中，以Vmax Spectra间接热量计作为标准方法，对BIOPAC测定的REE进行了验证。在2个不同时间间隔记录BIOPAC的静息能量消耗，以寻找适合老年人的最佳条件。此外，还对7个已发表公式计算的REE进行了验证。采用Bland - Altman方法检验各方法之间的一致性。应用多元回归分析建立了一个根据BIOPAC预测REE的新公式。BIOPAC热量计和大多数经验公式均显著高估了两性的平均REE。Mifflin公式对平均REE的预测最佳。BIOPAC的一致性界限较宽，而大多数经验公式的较窄。Lührmann和Müller公式在男性中的一致性界限最小（±950 kJ/24 h），Harris - Benedict和Müller公式在女性中的最小（±672 kJ/24 h）。为BIOPAC设备开发了一个新公式，改善了对平均REE和个体REE的预测（R² = 0.671，估计标准误差 = 136 kJ/24 h）。使用这个公式时，72.9%的受试者的预测值在测量的REE的10%范围内，而使用制造商的算法时这一比例仅为12.5%。总之，当应用新的预测公式时，BIOPAC热量计适用于测量健康老年人的REE，但不适用于体弱的老年人。
