scholarly journals Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 223 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Guillermo Sanchez-Delgado ◽  
Juan Alcantara ◽  
Borja Martinez-Tellez ◽  
Victoria Muñoz-Hernandez ◽  
...  
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
United Nations ◽  
Weight Status ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Healthy Adults ◽  
Predictive Equations ◽  
Resting Energy

Having valid and reliable resting energy expenditure (REE) estimations is crucial to establish reachable goals for dietary and exercise interventions. However, most of the REE predictive equations were developed some time ago and, as the body composition of the current population has changed, it is highly relevant to assess the validity of REE predictive equations in contemporary young adults. In addition, little is known about the role of sex and weight status on the validity of these predictive equations. Therefore, this study aimed to investigate the role of sex and weight status in congruent validity of REE predictive equations in young adults. A total of 132 young healthy adults (67.4% women, 18–26 years old) participated in the study. We measured REE by indirect calorimetry strictly following the standard procedures, and we compared it to 45 predictive equations. The most accurate equations were the following: (i) the Schofield and the “Food and Agriculture Organization of the United Nations/World Health Organization/United Nations” (FAO/WHO/UNU) equations in normal weight men; (ii) the Mifflin and FAO/WHO/UNU equations in normal weight women; (iii) the Livingston and Korth equations in overweight men; (iv) the Johnstone and Frankenfield equations in overweight women; (v) the Owen and Bernstein equations in obese men; and (vi) the Owen equation in obese women. In conclusion, the results of this study show that the best equation to estimate REE depends on sex and weight status in young healthy adults.

scholarly journals Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1635 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Lucas Jurado-Fasoli ◽  
Alejandro De-la-O ◽  
Ángel Gutierrez ◽  
Manuel Castillo ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Prediction Accuracy ◽  
Weight Status ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Middle Aged ◽  
Predictive Equations ◽  
Middle Aged Adults ◽  
Resting Energy

Indirect calorimetry (IC) is considered the reference method to determine the resting energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a number of REE predictive equations to estimate the REE. However, it has been shown that the available REE predictive equations could either overestimate or underestimate the REE as measured by IC. Moreover, the role of the weight status in the accuracy and validity of the REE predictive equations requires further attention. Therefore, this study aimed to determine the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years old) participated in the study. We measured REE by indirect calorimetry, strictly following the standard procedures, and we compared it with the values obtained from 33 predictive equations. The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight status plays an important role in the accuracy and validity of different REE predictive equations in middle-aged adults.

scholarly journals Comparison of predictive equations for resting energy expenditure (REE) in Chinese and Korean young adults

2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
A. Fahmy Arif Tsani ◽  
Su-Young Ko ◽  
Seo-Eun Yeon ◽  
Myung-Hee Kim ◽  
Eun-Kyung Kim
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Predictive Equations ◽  
Resting Energy

MON-P154: Role of Predictive Equations for Estimating Resting Energy Expenditure in Obese Adults Females

2016 ◽  
Vol 35 ◽  
pp. S210
Author(s):  
M. Marra ◽  
I. Cioffi ◽  
R. Sammarco ◽  
L. Santarpia ◽  
E. Silvestri ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Obese Adults ◽  
Predictive Equations ◽  
Resting Energy

scholarly journals New predictive equations for estimating resting energy expenditure in subjects with normal weight and overweight

Nutrition ◽  
2020 ◽  
pp. 111105
Author(s):  
Maurizio Marra ◽  
Rosa Sammarco ◽  
Iolanda Cioffi ◽  
Delia Morlino ◽  
Olivia Di Vincenzo ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Predictive Equations ◽  
Resting Energy

scholarly journals Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity?

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 216 ◽  
Author(s):  
Maurizio Marra ◽  
Iolanda Cioffi ◽  
Rosa Sammarco ◽  
Lidia Santarpia ◽  
Franco Contaldo ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Group Equation ◽  
Bioimpedance Analysis ◽  
Specific Group ◽  
Predictive Equations ◽  
Individual Level ◽  
The Individual ◽  
Resting Energy

This study aimed to develop and validate new predictive equations for resting energy expenditure (REE) in a large sample of subjects with obesity also considering raw variables from bioimpedance-analysis (BIA). A total of 2225 consecutive obese outpatients were recruited and randomly assigned to calibration (n = 1680) and validation (n = 545) groups. Subjects were also split into three subgroups according to their body mass index (BMI). The new predictive equations were generated using two models: Model 1 with age, weight, height, and BMI as predictors, and Model 2 in which raw BIA variables (bioimpedance-index and phase angle) were added. Our results showed that REE was directly correlated with all anthropometric and raw-BIA variables, while the correlation with age was inverse. All the new predictive equations were effective in estimating REE in both sexes and in the different BMI subgroups. Accuracy at the individual level was high for specific group-equation especially in subjects with BMI > 50 kg/m2. Therefore, new equations based on raw-BIA variables were as accurate as those based on anthropometry. Equations developed for BMI categories did not substantially improve REE prediction, except for subjects with a BMI > 50 kg/m2. Further studies are required to verify the application of those formulas and the role of raw-BIA variables for predicting REE.

scholarly journals Effect of organ and tissue masses on resting energy expenditure in underweight, normal weight and obese adults

2003 ◽  
Vol 28 (1) ◽  
pp. 72-79 ◽  
Author(s):  
A Bosy-Westphal ◽  
U Reinecke ◽  
T Schlörke ◽  
K Illner ◽  
D Kutzner ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Obese Adults ◽  
Resting Energy
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