Article
Sport Sciences
Raul Freire, Glauber R. Pereira, Juan M. A. Alcantara, Ruan Santos, Matheus Hausen, Alex Itaborahy
Summary: The present study aims to assess the agreement between measured resting metabolic rate and different predictive equations, and propose new equations for estimating the rate in high-level athletes. The new equations showed good agreement and accuracy, with Cunningham's equation being the best option among the existing equations.
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2022)
Article
Physiology
Aydin Balci, Ebru Arslanoglu Badem, Ayfer Ezgi Yilmaz, Asli Devrim-Lanpir, Bihter Akinoglu, Tugba Kocahan, Adnan Hasanoglu, Lee Hill, Thomas Rosemann, Beat Knechtle
Summary: A study comparing 12 prediction equations with measured RMR in Turkish national team athletes and sedentary controls revealed limited accuracy of predictive equations in determining resting energy expenditure levels, indicating that they may not be suitable for determining total energy expenditure.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Nutrition & Dietetics
Eduard Maury-Sintjago, Carmen Munoz-Mendoza, Alejandra Rodriguez-Fernandez, Marcela Ruiz-De la Fuente
Summary: This study aimed to analyze the influence of waist circumference (WC) in predicting resting metabolic rate (RMR) and propose a specific estimation equation for older Chilean women. The results showed that the proposed equation had the best adequacy and lowest overestimation.
Article
Biochemistry & Molecular Biology
Eduard Maury-Sintjago, Alejandra Rodriguez-Fernandez, Marcela Ruiz-De la Fuente
Summary: Underestimating/overestimating resting metabolic rate (RMR) has an impact on energy prescriptions. This study compared RMR measured by indirect calorimetry (RMR IC) with RMR estimated using predictive equations in women with excess body fat. The results showed that the predictive equations overestimated RMR in women with excess body fat, with the Mifflin-St Jeor equation showing less overestimation and better adequacy, but still prone to inaccuracy.
Article
Nutrition & Dietetics
Judi Porter, Leigh C. Ward, Kay Nguo, Zoe Davidson, Simone Gibson, Ross Prentice, Marian L. Neuhouser, Helen Truby
Summary: This research aimed to generate and validate new RMR equations specifically for older adults and to report their performance and accuracy. The new prediction equations showed marginal improvement compared to the existing equations, but the accuracy at the individual level still needs to be improved.
AMERICAN JOURNAL OF CLINICAL NUTRITION
(2023)
Article
Nutrition & Dietetics
Catia Martins, Jessica Roekenes, Gary R. Hunter, Barbara A. Gower
Summary: This study explored the association between ketosis and resting metabolic rate, revealing a positive correlation between ketone body concentration and metabolic adaptation in female individuals with obesity, but not in males.
CLINICAL NUTRITION
(2021)
Article
Biochemistry & Molecular Biology
Eleni Pavlidou, Sousana K. Papadopoulou, Kyriakos Seroglou, Constantinos Giaginis
Summary: This paper revises the Harris-Benedict equations by developing and validating new equations for estimating resting metabolic rate (RMR) in adult subjects with different body types. The study includes 722 Caucasian subjects, excluding pregnant or lactating women and those with active infections or uncontrolled diseases. The new equations, which consider age, body weight, height, and sex, show more accurate results compared to other equations commonly used for predicting RMR.
Article
Multidisciplinary Sciences
Taillan M. Oliveira, Paula A. Penna-Franca, Christian H. Dias-Silva, Victor Z. Bittencourt, Fabio F. L. C. Cahue, Sidnei J. Fonseca-Junior, Anna Paola T. R. Pierucci
Summary: High accuracy in estimating energy expenditure is crucial for improving sports performance. Predictive equations for resting metabolic rate (RMR) may not be applicable to adolescent athletes, as shown in this study comparing predicted RMR to values obtained through indirect calorimetry. Precise laboratory evaluation is recommended for adolescent athletes to ensure accurate recording of RMR information.
Article
Multidisciplinary Sciences
Edyta Luszczki, Pawel Jagielski, Anna Bartosiewicz, Katarzyna Deren, Piotr Matlosz, Maciej Kuchciak, Lukasz Oleksy, Artur Stolarczyk, Artur Mazur
Summary: Measurement or estimation of resting energy expenditure (REE) is crucial for determining energy demand in physically active boys. This study developed and validated new equations for estimating REE in male children and adolescents who play soccer. The equations showed good predictive accuracy and are recommended for estimating REE in physically active boys, when other methods are not feasible.
SCIENTIFIC REPORTS
(2023)
Article
Medicine, General & Internal
Assaf Buch, Jonathan Diener, Naftali Stern, Amir Rubin, Ofer Kis, Yael Sofer, Mariana Yaron, Yona Greenman, Roy Eldor, Sigal Eilat-Adar
Summary: Measuring resting metabolic rate is time-consuming and expensive, so equations have been developed to estimate RMR. In elderly individuals with type 2 diabetes, existing equations generally underestimate RMR. Equations developed for obesity or the elderly may be more accurate for this specific population.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Nutrition & Dietetics
Maurizio Marra, Olivia Di Vincenzo, Iolanda Cioffi, Rosa Sammarco, Delia Morlino, Luca Scalfi
Summary: This study developed and validated new equations for estimating resting energy expenditure in elite athletes based on anthropometric parameters and BIA-derived raw variables. The new equations showed very good prediction accuracy at both group and individual levels.
JOURNAL OF THE INTERNATIONAL SOCIETY OF SPORTS NUTRITION
(2021)
Article
Nutrition & Dietetics
Aviv Kfir, Yair Lahav, Yftach Gepner
Summary: The current prediction equations for resting metabolic rate (RMR) have limitations due to small sample size and individual variance. This study evaluated the accuracy of five common RMR equations and developed a new prediction equation that includes body composition. The results showed that all the prediction equations underestimated RMR, and the proposed model, which includes sex, age, fat mass (FM), and free-fat mass (FFM), successfully predicted 73.5% of the explained variation of RMR with a bias of 0.7%.
Article
Nutrition & Dietetics
Maurizio Marra, Rosa Sammarco, Iolanda Cioffi, Delia Morlino, Olivia Di Vincenzo, Enza Speranza, Fabrizio Pasanisi
Summary: The study developed and validated new predictive equations for estimating resting energy expenditure in subjects with normal weight and overweight, incorporating raw variables from bioimpedance analysis. The new equations showed good accuracy at both the group and individual levels, with a slight improvement in individual accuracy for the formula including raw BIA variables.
Article
Physiology
Petra Frings-Meuthen, Sara Henkel, Michael Boschmann, Philip D. Chilibeck, Jose Ramon Alvero Cruz, Fabian Hoffmann, Stefan Moestl, Uwe Mittag, Edwin Mulder, Natia Rittweger, Wolfram Sies, Hirofumi Tanaka, Joern Rittweger
Summary: Resting energy expenditure is mainly determined by fat-free mass, and equations are used to predict it in master athletes, with De Lorenzo's formula being the most accurate. Body weight, fat-free mass, fat mass, sex, and ambient temperature are significant predictors of resting energy expenditure in master athletes.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Nutrition & Dietetics
J. M. A. Alcantara, J. E. Galgani, L. Jurado-Fasoli, M. Dote-Montero, E. Merchan-Ramirez, E. Ravussin, J. R. Ruiz, G. Sanchez-Delgado
Summary: This study evaluated the accuracy and precision of four commercially available metabolic carts in measuring RMR and RER, finding that the Omnical had the lowest measurement error. The results showed discordant estimations of RMR and RER among the four metabolic carts, and the ICcE procedure did not improve measurement concordance.
CLINICAL NUTRITION
(2022)