Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.
Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia.
Br J Nutr. 2020 Dec 14;124(11):1229-1240. doi: 10.1017/S0007114520001014. Epub 2020 Mar 16.
Objective measurement of RMR may be important for optimal nutritional care but is hindered by the price and practicality of the metabolic monitoring device. This study compared two metabolic monitoring devices for measuring RMR and VO2 and compared the measured RMR with the predicted RMR calculated from equations. RMR was measured using QUARK RMR (reference device) and Fitmate GS (COSMED) in a random order for 30 min, each on fasted participants. In total, sixty-eight adults participated (median age 22 years, interquartile range 21-32). Pearson correlation showed that RMR (r 0·86) and VO2 (r 0·86) were highly correlated between the two devices (P < 0·05). Intraclass correlation coefficients (ICC) showed good relative agreements regarding RMR (ICC = 0·84) and VO2 (ICC = 0·84) (P < 0·05). RMR measured by QUARK RMR was significantly higher (649 (sd 753) kJ/d) than Fitmate GS. Equations significantly overpredicted RMR. Accurate RMR (i.e. within ±10 % of the RMR measured by QUARK RMR) was found among 38 % of the participants for Fitmate GS and among 46-68 % depending on the equations. Bland-Altman analysis showed a low absolute agreement with QUARK RMR at an individual level for both Fitmate GS (limits of agreement (LOA): -828 to +2125 kJ/d) and equations (LOA ranged from -1979 to +1879 kJ/d). In conclusion, both Fitmate GS and predictive equations had low absolute agreements with QUARK RMR at an individual level. Therefore, these limitations should be considered when determining RMR using Fitmate GS or equations.
客观测量 RMR 可能对最佳营养护理很重要,但受到代谢监测设备价格和实用性的阻碍。本研究比较了两种代谢监测设备测量 RMR 和 VO2 的效果,并将测量的 RMR 与通过方程计算得出的预测 RMR 进行了比较。RMR 使用 QUARK RMR(参考设备)和 Fitmate GS(COSMED)在禁食参与者中以随机顺序测量,每种设备测量 30 分钟。共有 68 名成年人参与(中位数年龄 22 岁,四分位间距 21-32 岁)。Pearson 相关分析显示,两种设备之间 RMR(r 0·86)和 VO2(r 0·86)高度相关(P<0·05)。组内相关系数(ICC)显示,RMR(ICC=0·84)和 VO2(ICC=0·84)具有良好的相对一致性(P<0·05)。QUARK RMR 测量的 RMR 显著更高(649(sd 753)kJ/d),而 Fitmate GS 则较低。方程显著高估了 RMR。在 Fitmate GS 中,有 38%的参与者的 RMR 测量值在准确范围内(即与 QUARK RMR 测量值相差±10%),而根据不同的方程,这一比例在 46-68%之间。Bland-Altman 分析显示,对于 Fitmate GS(界限范围(LOA):-828 至+2125 kJ/d)和方程(LOA 范围从-1979 至+1879 kJ/d),在个体水平上与 QUARK RMR 的绝对一致性较低。总之,在个体水平上,Fitmate GS 和预测方程与 QUARK RMR 的绝对一致性均较低。因此,在使用 Fitmate GS 或方程确定 RMR 时,应考虑到这些限制。