Comparison of predictive equations for resting energy expenditure (REE) in obese and nonobese children and adolescents

Abstract Background An accurate estimation of athletes’ energy needs is crucial in diet planning to improve sport performance and to maintain an appropriate body composition. This study aimed to develop and validate in elite athletes new equations for estimating resting energy expenditure (REE) based on anthropometric parameters as well as bioimpedance analysis (BIA)-derived raw variables and to validate the accuracy of selected predictive equations. Methods Adult elite athletes aged 18–40 yrs were studied. Anthropometry, indirect calorimetry and BIA were performed in all subjects. The new predictive equations were generated using different regression models. The accuracy of the new equations was assessed at the group level (bias) and at the individual level (precision accuracy), and then compared with the one of five equations used in the general population or three athletes-specific formulas. Results One-hundred and twenty-six male athletes (age 26.9 ± 9.1 yrs; weight 71.3 ± 10.9 kg; BMI 22.8 ± 2.7 kg/m2) from different sport specialties were randomly assigned to the calibration (n = 75) or validation group (n = 51). REE was directly correlated with individual characteristics, except for age, and raw BIA variables. Most of the equations from the literature were reasonably accurate at the population level (bias within ±5%). The new equations showed a mean bias −0.3% (Eq. A based on anthropometric parameters) and −0.6% (Eq. B based on BIA-derived raw variables). Precision accuracy (individual predicted-measured differences within ±5%) was ~75% in six out of eight of the selected equations and even higher for Eq. A (82.4%) and Eq. B (92.2%). Conclusion In elite athletes, BIA-derived phase angle is a significant predictor of REE. The new equations have a very good prediction accuracy at both group and individual levels. The use of phase angle as predictor of REE requires further research with respect to different sport specialties, training programs and training level.

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

Nutrients ◽

10.3390/nu10111635 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1635 ◽

Cited By ~ 12

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.

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MON-PO621: Validity of Predictive Equations for Estimation of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients at Different Phases of Critical Illness

Clinical Nutrition ◽

10.1016/s0261-5614(19)32454-9 ◽

2019 ◽

Vol 38 ◽

pp. S289-S290

Author(s):

P.C. Tah ◽

V.-R. Hakumat-Rai ◽

B.K. Poh ◽

M.B. Mat Nor ◽

H. Abdul Majid ◽

...

Keyword(s):

Critical Illness ◽

Energy Expenditure ◽

Critically Ill ◽

Critically Ill Patients ◽

Resting Energy Expenditure ◽

Predictive Equations ◽

Mechanically Ventilated ◽

Resting Energy

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Comparison of resting energy expenditure as calculated by predictive equations with that measured by indirect calorimetry in patients with Crohn’s disease

Clinical Nutrition ESPEN ◽

10.1016/j.clnesp.2020.09.227 ◽

2020 ◽

Vol 40 ◽

pp. 481

Author(s):

A.K. Karachaliou ◽

M. Bletsa ◽

E. Galatoula ◽

G. Mantzaris ◽

E. Archavlis ◽

...

Keyword(s):

Crohn’S Disease ◽

Crohn's Disease ◽

Energy Expenditure ◽

Indirect Calorimetry ◽

Resting Energy Expenditure ◽

Predictive Equations ◽

Resting Energy

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Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults

Nutrients ◽

10.3390/nu11020223 ◽

2019 ◽

Vol 11 (2) ◽

pp. 223 ◽

Cited By ~ 9

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.

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