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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.

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  • Authors+Show Affiliations

    ,

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

    , ,

    Source

    MeSH

    Adult
    Basal 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 -