Please use this identifier to cite or link to this item: https://doi.org/10.1017/S0007114520001014
Title: The use of a portable metabolic monitoring device for measuring RMR in healthy adults
Authors: Yeung, Suey SY
Trappenburg, Marijke C
Meskers, Carel GM
Maier, Andrea B 
Reijnierse, Esmee M
Keywords: Science & Technology
Life Sciences & Biomedicine
Nutrition & Dietetics
RMR
Basal metabolism
Indirect calorimetry
Nutrition assessment
RESTING ENERGY-EXPENDITURE
INDIRECT CALORIMETRY
PREDICTIVE EQUATIONS
PHYSICAL-ACTIVITY
REQUIREMENTS
REAPPRAISAL
RELIABILITY
VALIDITY
SYSTEMS
Issue Date: 14-Dec-2020
Publisher: CAMBRIDGE UNIV PRESS
Citation: Yeung, Suey SY, Trappenburg, Marijke C, Meskers, Carel GM, Maier, Andrea B, Reijnierse, Esmee M (2020-12-14). The use of a portable metabolic monitoring device for measuring RMR in healthy adults. BRITISH JOURNAL OF NUTRITION 124 (11) : 1229-1240. ScholarBank@NUS Repository. https://doi.org/10.1017/S0007114520001014
Abstract: 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.
Source Title: BRITISH JOURNAL OF NUTRITION
URI: https://scholarbank.nus.edu.sg/handle/10635/234889
ISSN: 0007-1145
1475-2662
DOI: 10.1017/S0007114520001014
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