Impact of methods for data selection on the day-to-day reproducibility of resting metabolic rate assessed with four different metabolic carts

Background and aims: Accomplishing a high day-to-day reproducibility is important to detect changes in resting metabolic rate (RMR) and respiratory exchange ratio (RER) that may be produced after an intervention or for monitoring patients’ metabolism over time. We aimed to analyze: (i) the influence...

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Detalles Bibliográficos
Autores: Alcántara Alcántara, Juan Manuel, Jurado Fasoli, Lucas, Dote-Montero, Manuel, Merchán Ramírez, Elisa, Amaro Gahete, Francisco J., Labayen Goñi, Idoia, Ruiz, Jonatan R., Sánchez Delgado, Guillermo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/46731
Acceso en línea:https://hdl.handle.net/2454/46731
Access Level:acceso abierto
Palabra clave:Between-days reproducibility
Coefficient of variation
Indirect calorimetry
REE
Reliability
Resting energy expenditure
Descripción
Sumario:Background and aims: Accomplishing a high day-to-day reproducibility is important to detect changes in resting metabolic rate (RMR) and respiratory exchange ratio (RER) that may be produced after an intervention or for monitoring patients’ metabolism over time. We aimed to analyze: (i) the influence of different methods for selecting indirect calorimetry data on RMR and RER assessments; and, (ii) whether these methods influence RMR and RER day-to-day reproducibility. Methods and results: Twenty-eight young adults accomplished 4 consecutive RMR assessments (30-min each), using the Q-NRG (Cosmed, Rome, Italy), the Vyntus CPX (Jaeger-CareFusion, Höchberg, Germany), the Omnical (Maastricht Instruments, Maastricht, The Netherlands), and the Ultima CardiO2 (Medgraphics Corporation, St. Paul, Minnesota, USA) carts, on 2 consecutive mornings. Three types of methods were used: (i) short (periods of 5 consecutive minutes; 6e10, 11e15, 16e20, 21e25, and 26e30 min) and long time intervals (TI) methods (6e25 and 6 e30 min); (ii) steady state (SSt methods); and, (iii) methods filtering the data by thresholding from the mean RMR (filtering methods). RMR and RER were similar when using different methods (except RMR for the Vyntus and RER for the Q-NRG). Conversely, using different methods impacted RMR (all P 0.037) and/or RER (P 0.009) day-to-day reproducibility in all carts. The 6e25 min and the 6e30 min long TI methods yielded more reproducible measurements for all metabolic carts. Conclusion: The 6e25 min and 6e30 min should be the preferred methods for selecting data, as they result in the highest day-to-day reproducibility of RMR and RER assessments.