Departamento de Ciencias de la Salud, Carrera de Nutrición y Dietética, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Clin Sci (Lond). 2018 Aug 22;132(16):1741-1751. doi: 10.1042/CS20180317. Print 2018 Aug 31.
: There are several predictive equations for estimating resting metabolic rate (RMR) in healthy humans. Concordance of these equations against measured RMR is variable, and often dependent on the extent of RMR. Part of the discrepancy may be due to an insufficient accuracy of metabolic carts, but this accuracy can be improved via a correction procedure. : To determine the validity of predictive RMR equations by comparing them against measured and corrected (i.e. the reference) RMR. : RMR was measured, in 69 healthy volunteers (29 males/40 females; 32±8 years old; BMI 25.5±3.8 kg/m) and then corrected by simulating gas exchange through pure gases and high-precision mass-flow regulators. RMR was predicted using 13 published equations. Bland-Altman analyses compared predicted vs. reference RMRs. : All equations correlated well with the reference RMR (>0.67; <0.0001), but on average, over-predicted the reference RMR (89-312 kcal/d; <0.05). Based on Bland-Altman analyses, 12 equations showed a constant bias across RMR, but the bias was not different from zero for nine of them. Three equations stood out because the absolute difference between predicted and reference RMR was equal or lower than 200 kcal/d for >60% of individuals (the Mifflin, Oxford and Müller equations). From them, only the Oxford equations performed better in both males and females separately. : The Oxford equations are a valid alternative to predict RMR in healthy adult humans. Gas-exchange correction appears to be a good practice for the reliable assessment of RMR.
有几种预测健康人类静息代谢率(RMR)的方程式。这些方程式与实测 RMR 的一致性是可变的,并且通常取决于 RMR 的程度。部分差异可能是由于代谢车的准确性不足,但可以通过校正程序来提高准确性。
通过将预测 RMR 方程与实测和校正(即参考)RMR 进行比较,来确定预测 RMR 方程的有效性。
在 69 名健康志愿者(29 名男性/40 名女性;32±8 岁;BMI 25.5±3.8kg/m)中测量 RMR,然后通过模拟纯气体和高精度质量流量调节器的气体交换来校正 RMR。使用 13 种已发表的方程预测 RMR。Bland-Altman 分析比较了预测与参考 RMR。
所有方程与参考 RMR 相关性良好(>0.67;<0.0001),但平均而言,预测值高于参考 RMR(89-312kcal/d;<0.05)。基于 Bland-Altman 分析,12 个方程在 RMR 范围内表现出恒定的偏差,但其中 9 个方程的偏差与零无差异。有三个方程比较突出,因为预测值与参考值的绝对差异对于>60%的个体等于或低于 200kcal/d(Mifflin、Oxford 和 Müller 方程)。其中,只有 Oxford 方程在男性和女性中分别表现更好。
Oxford 方程是预测健康成年人类 RMR 的有效替代方法。气体交换校正似乎是可靠评估 RMR 的一种好方法。