# Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population.

### Abstract

### OBJECTIVE

The aim of our study was to evaluate the accuracy of the equations to estimate REE in obese patents and develop a new equation in our obese population.### SUBJECTS AND METHODS

A population of 200 obesity outpatients was analyzed in a prospective way. The following variables were specifically recorded: age, weight, body mass index (BMI), waist circumference, and waist-to-hip ratio. Basal glucose, insulin, and TSH (thyroid-stimulating hormone) were measured. An indirect calorimetry and a tetrapolar electrical bioimpedance were performed. REE measured by indirect calorimetry was compared with REE obtained by prediction equations to obese or nonobese patients.### RESULTS

The mean age was 44.8 +/- 16.81 years and the mean BMI 34.4 +/- 5.3. Indirect calorimetry showed that, as compared to women, men had higher resting energy expenditure (REE) (1,998.1 +/- 432 vs. 1,663.9 +/- 349 kcal/day; p < 0.05) and oxygen consumption (284.6 +/- 67.7 vs. 238.6 +/- 54.3 ml/min; p < 0.05). Correlation analysis among REE obtained by indirect calorimetry and REE predicted by prediction equations showed the next data; Berstein's equation (r = 0.65; p < 0.05), Harris Benedict's equation (r = 0.58; p < 0.05), Owen's equation (r = 0.56; p < 0.05), Ireton's equation (r = 0.58; p < 0.05) and WHO's equation (r = 0.57; p < 0.05). Both the Berstein's and the Ireton's equations overpredicted REE and showed nonsignificant mean differences form measured REE. The Owen's, WHO's, and Harris Benedict's equations underpredicted REE. Our male prediction equation was REE = 58.6 + (6.1 x weight (kg)) + (1,023.7 x height (m)) - (9.5 x age). The female model was REE = 1,272.5 + (9.8 x weight (kg)) - (61.6 x height (m)) - (8.2 x age). Our prediction equations showed a nonsignificant difference with REE measured (-3.7 kcal/day) with a significant correlation coefficient (r = 0.67; p < 0.05).### CONCLUSION

Previously developed prediction equations overestimated and underestimated REE measured. WHO equation developed in normal weight individuals provided the closest values. The two new equations (male and female equations) developed in our study had a good accuracy.### Links

### Authors+Show Affiliations

,Institute of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, Valladolid, Spain.

, ,### Source

Annals of nutrition & metabolism 50:3 2006 pg 193-6

### MeSH

AdultBasal Metabolism

Body Composition

Body Mass Index

Calorimetry, Indirect

Electric Impedance

Energy Metabolism

Female

Humans

Male

Mathematics

Middle Aged

Obesity

Obesity, Morbid

Predictive Value of Tests

Prospective Studies

Reproducibility of Results

Sensitivity and Specificity

Sex Factors

Spain

Thinness

### Pub Type(s)

Journal Article### Language

eng

### PubMed ID

16407645

### Citation

de Luis, D A., et al. "Prediction Equation of Resting Energy Expenditure in an Adult Spanish Population of Obese Adult Population."

*Annals of Nutrition & Metabolism,*vol. 50, no. 3, 2006, pp. 193-6.de Luis DA, Aller R, Izaola O, et al. Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population.

*Ann Nutr Metab*. 2006;50(3):193-6.de Luis, D. A., Aller, R., Izaola, O., & Romero, E. (2006). Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population.

*Annals of Nutrition & Metabolism,**50*(3), pp. 193-6.de Luis DA, et al. Prediction Equation of Resting Energy Expenditure in an Adult Spanish Population of Obese Adult Population.

*Ann Nutr Metab.*2006;50(3):193-6. PubMed PMID: 16407645.* Article titles in AMA citation format should be in sentence-case

TY - JOUR
T1 - Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population.
AU - de Luis,D A,
AU - Aller,R,
AU - Izaola,O,
AU - Romero,E,
Y1 - 2006/01/10/
PY - 2005/07/28/received
PY - 2005/10/14/accepted
PY - 2006/1/13/pubmed
PY - 2006/10/25/medline
PY - 2006/1/13/entrez
SP - 193
EP - 6
JF - Annals of nutrition & metabolism
JO - Ann. Nutr. Metab.
VL - 50
IS - 3
N2 - OBJECTIVE: The aim of our study was to evaluate the accuracy of the equations to estimate REE in obese patents and develop a new equation in our obese population. SUBJECTS AND METHODS: A population of 200 obesity outpatients was analyzed in a prospective way. The following variables were specifically recorded: age, weight, body mass index (BMI), waist circumference, and waist-to-hip ratio. Basal glucose, insulin, and TSH (thyroid-stimulating hormone) were measured. An indirect calorimetry and a tetrapolar electrical bioimpedance were performed. REE measured by indirect calorimetry was compared with REE obtained by prediction equations to obese or nonobese patients. RESULTS: The mean age was 44.8 +/- 16.81 years and the mean BMI 34.4 +/- 5.3. Indirect calorimetry showed that, as compared to women, men had higher resting energy expenditure (REE) (1,998.1 +/- 432 vs. 1,663.9 +/- 349 kcal/day; p < 0.05) and oxygen consumption (284.6 +/- 67.7 vs. 238.6 +/- 54.3 ml/min; p < 0.05). Correlation analysis among REE obtained by indirect calorimetry and REE predicted by prediction equations showed the next data; Berstein's equation (r = 0.65; p < 0.05), Harris Benedict's equation (r = 0.58; p < 0.05), Owen's equation (r = 0.56; p < 0.05), Ireton's equation (r = 0.58; p < 0.05) and WHO's equation (r = 0.57; p < 0.05). Both the Berstein's and the Ireton's equations overpredicted REE and showed nonsignificant mean differences form measured REE. The Owen's, WHO's, and Harris Benedict's equations underpredicted REE. Our male prediction equation was REE = 58.6 + (6.1 x weight (kg)) + (1,023.7 x height (m)) - (9.5 x age). The female model was REE = 1,272.5 + (9.8 x weight (kg)) - (61.6 x height (m)) - (8.2 x age). Our prediction equations showed a nonsignificant difference with REE measured (-3.7 kcal/day) with a significant correlation coefficient (r = 0.67; p < 0.05). CONCLUSION: Previously developed prediction equations overestimated and underestimated REE measured. WHO equation developed in normal weight individuals provided the closest values. The two new equations (male and female equations) developed in our study had a good accuracy.
SN - 0250-6807
UR - https://www.unboundmedicine.com/medline/citation/16407645/Prediction_equation_of_resting_energy_expenditure_in_an_adult_Spanish_population_of_obese_adult_population_
L2 - https://www.karger.com?DOI=10.1159/000090740
DB - PRIME
DP - Unbound Medicine
ER -