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Prediction of resting energy expenditure in severely obese Italian males.
J Endocrinol Invest. 2007 Oct; 30(9):754-61.JE

Abstract

The objectives of the present study were to develop and cross-validate new equations for predicting resting energy expenditure (PREE) in severely obese Italian males, and to compare their accuracy with those of the Harris-Benedict, WHO/ FAO/UNU, Huang, Owen, Mifflin, Livingston, Nelson, Bernstein, and Cunnimgham equations in order to predict resting energy expenditure (REE), using the Bland-Altman method. One hundred and sixty-four severely obese males [mean body mass index (BMI): 45.4 kg/m2; 50.2% fat mass), aged 20 to 65 yr participated in this study. REE was measured by indirect calorimetry and body composition by bioelectrical analysis. Equations were derived by stepwise multiple regression analysis using a calibration group and tested against the validation group. Two new specific equations, based on anthropometric [REE=Weight x 0.048 + Height x 4.655 - age x 0.020 - 3.605 (R2=0.68, SE=1.14 MJ/d)] or body composition parameters [REE=fat free mass (FFM) x 0.081 + fat mass (FM) x 0.049 - age x 0.019 - 2.194 (R2=0.65, SE=1.15 MJ/d)], were generated. Mean PREE were not different from the mean measured REE (MREE) (<1%, p<0.001), REE being predicted accurately (95-105% of MREE) in 66 and 62% of subjects, respectively. The Harris-Benedict, WHO/FAO/UNU, Huang and Owen equations showed mean differences lower than 5% and PREE was accurate in less than 30% of subjects. The Mifflin, Livingston, and Nelson equations showed a mean PREE underestimation >7% (p<0.001) and PREE was accurate in less than 25% of subjects. The Bernstein and Cunningham equations showed a greater PREE underestimation (>22%, p<0.001) in more than 85% of subjects. The new prediction equations allow an accurate estimation of REE in groups of severely obese males and result in lower mean differences and lower limits of agreement between PREE and MREE than the commonly used equations.

Authors+Show Affiliations

Laboratorio Sperimentale Ricerche Auxo-endocrinologiche, Istituto Auxologico Italiano, IRCCS, Verbania, Italy.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

17993767

Citation

Lazzer, S, et al. "Prediction of Resting Energy Expenditure in Severely Obese Italian Males." Journal of Endocrinological Investigation, vol. 30, no. 9, 2007, pp. 754-61.
Lazzer S, Agosti F, Resnik M, et al. Prediction of resting energy expenditure in severely obese Italian males. J Endocrinol Invest. 2007;30(9):754-61.
Lazzer, S., Agosti, F., Resnik, M., Marazzi, N., Mornati, D., & Sartorio, A. (2007). Prediction of resting energy expenditure in severely obese Italian males. Journal of Endocrinological Investigation, 30(9), 754-61.
Lazzer S, et al. Prediction of Resting Energy Expenditure in Severely Obese Italian Males. J Endocrinol Invest. 2007;30(9):754-61. PubMed PMID: 17993767.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Prediction of resting energy expenditure in severely obese Italian males. AU - Lazzer,S, AU - Agosti,F, AU - Resnik,M, AU - Marazzi,N, AU - Mornati,D, AU - Sartorio,A, PY - 2007/11/13/pubmed PY - 2008/2/6/medline PY - 2007/11/13/entrez SP - 754 EP - 61 JF - Journal of endocrinological investigation JO - J. Endocrinol. Invest. VL - 30 IS - 9 N2 - The objectives of the present study were to develop and cross-validate new equations for predicting resting energy expenditure (PREE) in severely obese Italian males, and to compare their accuracy with those of the Harris-Benedict, WHO/ FAO/UNU, Huang, Owen, Mifflin, Livingston, Nelson, Bernstein, and Cunnimgham equations in order to predict resting energy expenditure (REE), using the Bland-Altman method. One hundred and sixty-four severely obese males [mean body mass index (BMI): 45.4 kg/m2; 50.2% fat mass), aged 20 to 65 yr participated in this study. REE was measured by indirect calorimetry and body composition by bioelectrical analysis. Equations were derived by stepwise multiple regression analysis using a calibration group and tested against the validation group. Two new specific equations, based on anthropometric [REE=Weight x 0.048 + Height x 4.655 - age x 0.020 - 3.605 (R2=0.68, SE=1.14 MJ/d)] or body composition parameters [REE=fat free mass (FFM) x 0.081 + fat mass (FM) x 0.049 - age x 0.019 - 2.194 (R2=0.65, SE=1.15 MJ/d)], were generated. Mean PREE were not different from the mean measured REE (MREE) (<1%, p<0.001), REE being predicted accurately (95-105% of MREE) in 66 and 62% of subjects, respectively. The Harris-Benedict, WHO/FAO/UNU, Huang and Owen equations showed mean differences lower than 5% and PREE was accurate in less than 30% of subjects. The Mifflin, Livingston, and Nelson equations showed a mean PREE underestimation >7% (p<0.001) and PREE was accurate in less than 25% of subjects. The Bernstein and Cunningham equations showed a greater PREE underestimation (>22%, p<0.001) in more than 85% of subjects. The new prediction equations allow an accurate estimation of REE in groups of severely obese males and result in lower mean differences and lower limits of agreement between PREE and MREE than the commonly used equations. SN - 1720-8386 UR - https://www.unboundmedicine.com/medline/citation/17993767/Prediction_of_resting_energy_expenditure_in_severely_obese_Italian_males_ L2 - https://link.springer.com/article/10.1007/BF03350813 DB - PRIME DP - Unbound Medicine ER -