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A novel approach to calculating the thermic effect of food in a metabolic chamber

The thermic effect of food (TEF) is the well‐known concept in spite of its difficulty for measuring. The gold standard for evaluating the TEF is the difference in energy expenditure between fed and fasting states (ΔEE). Alternatively, energy expenditure at 0 activity (EE (0)) is estimated from the i...

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Autores principales: Ogata, Hitomi, Kobayashi, Fumi, Hibi, Masanobu, Tanaka, Shigeho, Tokuyama, Kumpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816895/
https://www.ncbi.nlm.nih.gov/pubmed/26908716
http://dx.doi.org/10.14814/phy2.12717
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author Ogata, Hitomi
Kobayashi, Fumi
Hibi, Masanobu
Tanaka, Shigeho
Tokuyama, Kumpei
author_facet Ogata, Hitomi
Kobayashi, Fumi
Hibi, Masanobu
Tanaka, Shigeho
Tokuyama, Kumpei
author_sort Ogata, Hitomi
collection PubMed
description The thermic effect of food (TEF) is the well‐known concept in spite of its difficulty for measuring. The gold standard for evaluating the TEF is the difference in energy expenditure between fed and fasting states (ΔEE). Alternatively, energy expenditure at 0 activity (EE (0)) is estimated from the intercept of the linear relationship between energy expenditure and physical activity to eliminate activity thermogenesis from the measurement, and the TEF is calculated as the difference between EE (0) and postabsorptive resting metabolic rate (RMR) or sleeping metabolic rate (SMR). However, the accuracy of the alternative methods has been questioned. To improve TEF estimation, we propose a novel method as our original TEF calculation method to calculate EE (0) using integrated physical activity over a specific time interval. We aimed to identify which alternative methods of TEF calculation returns reasonable estimates, that is, positive value as well as estimates close to ΔEE. Seven men participated in two sessions (with and without breakfast) of whole‐body indirect calorimetry, and physical activity was monitored with a triaxial accelerometer. Estimates of TEF by three simplified methods were compared to ΔEE. ΔEE, EE (0) above SMR, and our original method returned positive values for the TEF after breakfast in all measurements. TEF estimates of our original method was indistinguishable from those based on the ΔEE, whereas those as EE (0) above RMR and EE (0) above SMR were slightly lower and higher, respectively. Our original method was the best among the three simplified TEF methods as it provided positive estimates in all the measurements that were close to the value derived from gold standard for all measurements.
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spelling pubmed-48168952016-04-14 A novel approach to calculating the thermic effect of food in a metabolic chamber Ogata, Hitomi Kobayashi, Fumi Hibi, Masanobu Tanaka, Shigeho Tokuyama, Kumpei Physiol Rep Original Research The thermic effect of food (TEF) is the well‐known concept in spite of its difficulty for measuring. The gold standard for evaluating the TEF is the difference in energy expenditure between fed and fasting states (ΔEE). Alternatively, energy expenditure at 0 activity (EE (0)) is estimated from the intercept of the linear relationship between energy expenditure and physical activity to eliminate activity thermogenesis from the measurement, and the TEF is calculated as the difference between EE (0) and postabsorptive resting metabolic rate (RMR) or sleeping metabolic rate (SMR). However, the accuracy of the alternative methods has been questioned. To improve TEF estimation, we propose a novel method as our original TEF calculation method to calculate EE (0) using integrated physical activity over a specific time interval. We aimed to identify which alternative methods of TEF calculation returns reasonable estimates, that is, positive value as well as estimates close to ΔEE. Seven men participated in two sessions (with and without breakfast) of whole‐body indirect calorimetry, and physical activity was monitored with a triaxial accelerometer. Estimates of TEF by three simplified methods were compared to ΔEE. ΔEE, EE (0) above SMR, and our original method returned positive values for the TEF after breakfast in all measurements. TEF estimates of our original method was indistinguishable from those based on the ΔEE, whereas those as EE (0) above RMR and EE (0) above SMR were slightly lower and higher, respectively. Our original method was the best among the three simplified TEF methods as it provided positive estimates in all the measurements that were close to the value derived from gold standard for all measurements. John Wiley and Sons Inc. 2016-02-23 /pmc/articles/PMC4816895/ /pubmed/26908716 http://dx.doi.org/10.14814/phy2.12717 Text en © 2016 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ogata, Hitomi
Kobayashi, Fumi
Hibi, Masanobu
Tanaka, Shigeho
Tokuyama, Kumpei
A novel approach to calculating the thermic effect of food in a metabolic chamber
title A novel approach to calculating the thermic effect of food in a metabolic chamber
title_full A novel approach to calculating the thermic effect of food in a metabolic chamber
title_fullStr A novel approach to calculating the thermic effect of food in a metabolic chamber
title_full_unstemmed A novel approach to calculating the thermic effect of food in a metabolic chamber
title_short A novel approach to calculating the thermic effect of food in a metabolic chamber
title_sort novel approach to calculating the thermic effect of food in a metabolic chamber
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816895/
https://www.ncbi.nlm.nih.gov/pubmed/26908716
http://dx.doi.org/10.14814/phy2.12717
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