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Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

INTRODUCTION: The aim of the study is to show the differences between the measured and estimated values of resting energy expenditure and any changes occurring after the 6-month weight loss intervention program. METHODS: We included 33 healthy adults aged 25–49 years with an average body mass index...

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Autores principales: Stubelj, Mojca, Teraž, Kaja, Poklar Vatovec, Tamara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478086/
https://www.ncbi.nlm.nih.gov/pubmed/32952701
http://dx.doi.org/10.2478/sjph-2020-0005
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author Stubelj, Mojca
Teraž, Kaja
Poklar Vatovec, Tamara
author_facet Stubelj, Mojca
Teraž, Kaja
Poklar Vatovec, Tamara
author_sort Stubelj, Mojca
collection PubMed
description INTRODUCTION: The aim of the study is to show the differences between the measured and estimated values of resting energy expenditure and any changes occurring after the 6-month weight loss intervention program. METHODS: We included 33 healthy adults aged 25–49 years with an average body mass index 29.1±2.7 kg/m 2 for female and 29.8±2.8 kg/m(2) for male. The measured resting energy expenditure was obtained by indirect calorimeter MedGem® Microlife and estimated resting energy expenditure by the Harris–Benedict equation, the Mifflin–St Jeor equation, the Owen equation, the Wright equation, and by the Tanita body composition analyser. All measurements and calculations were carried out before and after the 6-month intervention. Results were compared using paired t-tests. P value less than 0.05 was considered statistically significant. RESULTS: A comparison of the measured resting energy expenditure of female subjects with the estimated resting energy expenditure using the Harris–Benedict equation, the Mifflin–St Jeor equation and the Wright equation showed a statistically significant difference. A comparison of the measured resting energy expenditure of male subjects with the estimated resting energy expenditure using the Harris–Benedict equation and the Wright equation showed a statistically significant difference. There was a significant difference in the measured resting energy expenditure and estimated resting energy expenditure using Tanita. CONCLUSIONS: We concluded that the most comparable equation for our sample was the Owen’s equation. After losing weight, the measured resting energy expenditure has decreased, which must be taken into account in further diet therapy.
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spelling pubmed-74780862020-12-13 Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults Stubelj, Mojca Teraž, Kaja Poklar Vatovec, Tamara Zdr Varst Original Scientific Article INTRODUCTION: The aim of the study is to show the differences between the measured and estimated values of resting energy expenditure and any changes occurring after the 6-month weight loss intervention program. METHODS: We included 33 healthy adults aged 25–49 years with an average body mass index 29.1±2.7 kg/m 2 for female and 29.8±2.8 kg/m(2) for male. The measured resting energy expenditure was obtained by indirect calorimeter MedGem® Microlife and estimated resting energy expenditure by the Harris–Benedict equation, the Mifflin–St Jeor equation, the Owen equation, the Wright equation, and by the Tanita body composition analyser. All measurements and calculations were carried out before and after the 6-month intervention. Results were compared using paired t-tests. P value less than 0.05 was considered statistically significant. RESULTS: A comparison of the measured resting energy expenditure of female subjects with the estimated resting energy expenditure using the Harris–Benedict equation, the Mifflin–St Jeor equation and the Wright equation showed a statistically significant difference. A comparison of the measured resting energy expenditure of male subjects with the estimated resting energy expenditure using the Harris–Benedict equation and the Wright equation showed a statistically significant difference. There was a significant difference in the measured resting energy expenditure and estimated resting energy expenditure using Tanita. CONCLUSIONS: We concluded that the most comparable equation for our sample was the Owen’s equation. After losing weight, the measured resting energy expenditure has decreased, which must be taken into account in further diet therapy. Sciendo 2020-12-13 /pmc/articles/PMC7478086/ /pubmed/32952701 http://dx.doi.org/10.2478/sjph-2020-0005 Text en © 2020 Mojca Stubelj et al., published by Sciendo http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Original Scientific Article
Stubelj, Mojca
Teraž, Kaja
Poklar Vatovec, Tamara
Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title_full Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title_fullStr Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title_full_unstemmed Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title_short Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults
title_sort predicting equations and resting energy expenditure changes in overweight adults
topic Original Scientific Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478086/
https://www.ncbi.nlm.nih.gov/pubmed/32952701
http://dx.doi.org/10.2478/sjph-2020-0005
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