In patients with obesity class II and III the equation of Harris-Benedict predicted the average BMR with acceptable precision for clinical use and was better fitting than most of the currently available predictive equations for basal metabolic rate (BMR). The ratio calculated BMR/measured BMR according to the Nelson equation in this subgroup was 101.0 (12.1/0.74). In the group of the 22 subjects with a body weight > or = 120 kg ratio of estimated values for BMR using original Harris-Benedict equation to measured BMR was 102.2 +/- 15.4% (mean +/- SD%, r = 0.61), respectively 93.2 +/- 14.5% (r = 0.50) when weight was set at 120 kg due to current recommendations. The predictive value of the original Harris-Benedict equation was slightly different from modified Harris-Benedict equation, which was recalculated by Roza et al. The best fitting equations for predicting BMR in these 43 severe und morbidly obese subjects were the Harris-Benedict (ratio calculated BMR to measured, BMR mean +/- SD% correlation coefficient r = 101 +/- 12.9 0.69), the Jensen (101.5 +/- 12.3 0.74), the Nelson (99.3 +/- 11.4 0.76) and the Cunningham equation (98.9 +/- 11.7 0.74). Calculated BMR was compared with measured BMR. In 43 patients (age range 18 to 61 years, 5 men, 38 women) with obesity class II and III (body mass index, BMI, mean +/- SD 45.6 kg/m2 +/- 5.4 kg/m2, range 37.1-58.6 kg/m2) basal metabolic rate BMR was determined using indirect calorimetry (Deltatrac MBM, Datex, Instrumentarium Corp., Helsinki, Finnland) and the components of body composition were determined using the bioelectrical-impedance-analysis (BIA) method (BIA, Akern-Gerät, RJL Systems, Detroit). A second objective was to examine the reliability of the Harris Benedict equation in obese subjects, especially with a weight > or = 120 kg. Note that in the BMR/RMR calculator above the lean body mass is automatically calculated using the Boer formula if body fat percentage is not provided.The aim of this study was to evaluate the currently available predictive equations for basal metabolic rate (BMR) in subjects with obesity class II and III, and to assess the contribution by the components of a two-compartment model of body composition, namely the lean body mass (LBM) and the fat mass (FM) to the prediction. If you know your body fat percentage, lean body mass can be calculated by the following formula: (1 - Body Fat Percentage / 100) x Weight. Males: Ageīoth the Katch-McArdle and the Cunningham formulas use lean body mass to estimate your resting metabolic rate. Males: AgeĪs the Schofield equation above was proven not to be very reliable for many, a new series of equations was developed in 2005 which consisted of a database of 10,552 BMR values that had a more diverse set of subjects. This skewed the results for other communities. However, a disproportionate number of subjects in the data set were Italian men with on average higher BMR values. The Schofield equation was published in 1985 and used by FAO/WHO/UNU (World Health Organization and others).
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