<abstract xmlns="http://www.w3.org/1999/xhtml"><sec><h3>Introduction</h3><p>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.</p></sec><sec><h3>Methods</h3><p>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<sup>2</sup> 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.</p></sec><sec><h3>Results</h3><p>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.</p></sec><sec><h3>Conclusions</h3><p>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.</p></sec></abstract>

IntroductionThe 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.MethodsWe 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/m2 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.ResultsA 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.ConclusionsWe 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.

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Slovenian Journal of Public Health

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Prediktivne Enačbe in Spremembe V Porabi Energije V Mirovanju Pri Prekomerno Hranjenih Odraslih

IntroductionThe aim of the study is to show the differences between the measured and estimated values of resting energy expenditure and any changes occurring...

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Article Category: Original scientific article

Published Online: Dec 13, 2019

Page range: 33 - 41

Received: May 02, 2019

Accepted: Nov 05, 2019

DOI: https://doi.org/10.2478/sjph-2020-0005

Keywords
resting energy expenditure, energy expenditure, obesity, indirect calorimetry, predictive equations

© 2020 Mojca Stubelj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Predicting Equations and Resting Energy Expenditure Changes in Overweight Adults

Article Category: Original scientific article

Published Online: Dec 13, 2019

Page range: 33 - 41

Received: May 02, 2019

Accepted: Nov 05, 2019

DOI: https://doi.org/10.2478/sjph-2020-0005

Keywordsresting energy expenditure, energy expenditure, obesity, indirect calorimetry, predictive equations

© 2020 Mojca Stubelj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
resting energy expenditure, energy expenditure, obesity, indirect calorimetry, predictive equations