Literature DB >> 6340455

Prediction of the resting metabolic rate in obese patients.

R S Bernstein, J C Thornton, M U Yang, J Wang, A M Redmond, R N Pierson, F X Pi-Sunyer, T B Van Itallie.   

Abstract

Resting metabolic rate (RMR) was measured in 154 women and 48 men before the beginning of a weight reduction program. In both sexes there were significant univariate correlations between RMR and fat-free mass, body fat, weight, fat cell weight, and fat cell number (from total body water). Women also showed significant correlations between RMR and fat cell number (from total body potassium), free triiodothyronine index, and fasting and postglucose insulin levels. Multiple regression analysis showed that both fat-free mass and fat cell weight and number were significant predictors of RMR. The contribution of fat-free mass was three to five times greater per kg than that of body fat. There was no significant contribution of thyroid hormones or insulin to the prediction of RMR. Fat cell number and fat cell weight were significant predictors of RMR, whether determined from body water, body potassium, or a formula using both water and potassium. There was no significant difference in regression coefficients between men and women. Thus the difference in RMR between the sexes is probably caused by the higher proportion of fat-free mass in men. The effect of age was small and not statistically significant.

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Year:  1983        PMID: 6340455     DOI: 10.1093/ajcn/37.4.595

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  29 in total

1.  Prediction of resting energy expenditure in severely obese Italian women.

Authors:  S Lazzer; F Agosti; P Silvestri; H Derumeaux-Burel; A Sartorio
Journal:  J Endocrinol Invest       Date:  2007-01       Impact factor: 4.256

2.  Thermogenic effect of food in physically well-trained elderly men.

Authors:  K Lundholm; G Holm; L Lindmark; B Larsson; L Sjöström; P Björntorp
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1986

3.  Prediction of resting energy expenditure in severely obese Italian males.

Authors:  S Lazzer; F Agosti; M Resnik; N Marazzi; D Mornati; A Sartorio
Journal:  J Endocrinol Invest       Date:  2007-10       Impact factor: 4.256

4.  Loss of fat, water, and protein during very low calorie diets and complete starvation.

Authors:  M Weck; S Fischer; M Hanefeld; W Leonhardt; U Julius; W Gräser; B Schneider; H Haller
Journal:  Klin Wochenschr       Date:  1987-12-01

5.  Prediction of basal metabolic rate in patients with Prader-Willi syndrome.

Authors:  S Lazzer; G Grugni; G Tringali; A Sartorio
Journal:  Eur J Clin Nutr       Date:  2015-09-23       Impact factor: 4.016

6.  Prediction equations for balance measured as sway speed by head tracking with eyes open and closed.

Authors:  K H Kilburn; J C Thornton
Journal:  Occup Environ Med       Date:  1995-08       Impact factor: 4.402

7.  Considerations When Using Predictive Equations to Estimate Energy Needs Among Older, Hospitalized Patients: A Narrative Review.

Authors:  Elizabeth A Parker; Termeh M Feinberg; Stephanie Wappel; Avelino C Verceles
Journal:  Curr Nutr Rep       Date:  2017-04-11

Review 8.  Best-fitting prediction equations for basal metabolic rate: informing obesity interventions in diverse populations.

Authors:  N S Sabounchi; H Rahmandad; A Ammerman
Journal:  Int J Obes (Lond)       Date:  2013-01-15       Impact factor: 5.095

Review 9.  Is Obesity Associated with Altered Energy Expenditure?

Authors:  Isabella P Carneiro; Sarah A Elliott; Mario Siervo; Raj Padwal; Simona Bertoli; Alberto Battezzati; Carla M Prado
Journal:  Adv Nutr       Date:  2016-05-16       Impact factor: 8.701

10.  Effects of Acute Whole-Body Vibration Practice on Maximal Fat Oxidation in Adult Obese Males: A Pilot Study.

Authors:  Gian Pietro Emerenziani; Dafne Ferrari; Simona Fittipaldi; Viviana Maria Bimonte; Chiara Marocco; Emanuela A Greco; Fabrizio Perroni; Silvia Migliaccio; Andrea Lenzi; Carlo Baldari; Laura Guidetti
Journal:  Obes Facts       Date:  2020-03-23       Impact factor: 3.942

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