Reliability of resting metabolic rate measurements in young adults: Impact of methods for data analysis

Abstract

A high inter-day reliability is a key factor to analyze the magnitude of change in resting metabolic rate (RMR) after an intervention, and the impact of using different methods for data analysis is not known. The aims of this study were: i) to analyze the impact of methods for data analysis on RMR and respiratory exchange ratio (RER) estimation; ii) to analyze the impact of methods for data analysis on inter-day RMR and RER reliability; iii) to compare inter-day RMR and RER reliability across methods for data analysis in participants who achieved steady state (SS) vs. participants who did not achieve SS. Seventeen young healthy adults completed two 30-min indirect calorimetry (IC) measures ontwo consecutive mornings, using two metabolic carts each day. Two methods for data analysis wereused: i) Selection of a predefined time interval (TI) every 5min (1-5min, 6-10min, 11-15min, 16-20min, 21-25min, 26-30min); and TI representing the whole measurement period (0-30min, 5-30min, 5-25min); and ii) Methods based on the selection of the most stable period (SSt methods) (3min SSt, 4min SSt, 5min SSt, 10min SSt). Additionally, participants were classified as those achieving SS (CV<10% for VO2, VCO2 and VE, and CV<5% for RER) and those who did not. RMR and RER measurements were lower when following SSt methods than when following TI methods (all P<0.01). Although no significant differences were found between different lengths of SSt, 5min SSt presented the lowest RMR. There were no differences on the inter-day reliability across methods for data analysis (TI and SSt) (all P>0.2), and there was no systematic bias when comparing RMR and RER day 1 and day 2 measurements (all P>0.1). Inter-day reliability was similar in individuals who achieved the SS and individuals who did not achieve it. The results were consistent independently of the metabolic cart used. The 5min SSt approach should be the method of choice for analyzing IC measures with metabolic carts. However, achieving SS should not be an inclusion criterion in an IC study with young healthy adults.