Prediction of resting energy expenditure in severely obese Italian males

S. Lazzer, F. Agosti, M. Resnik, N. Marazzi, D. Mornati, A. Sartorio

Research output: Contribution to journalArticlepeer-review


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 × 0.048 + Height × 4.655 - age × 0.020 - 3.605 (R2=0.68, SE=1.14 MJ/d)] or body composition parameters [REE=fat free mass (FFM) × 0.081 + fat mass (FM) × 0.049 - age × 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) (7% (p22%, p

Original languageEnglish
Pages (from-to)754-761
Number of pages8
JournalJournal of Endocrinological Investigation
Issue number9
Publication statusPublished - Oct 2007


  • Body composition
  • Male
  • Prediction equation
  • Resting energy expenditure

ASJC Scopus subject areas

  • Endocrinology


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