Literature DB >> 3687821

A reappraisal of the caloric requirements of men.

O E Owen1, J L Holup, D A D'Alessio, E S Craig, M Polansky, K J Smalley, E C Kavle, M C Bushman, L R Owen, M A Mozzoli.   

Abstract

The resting metabolic rates (RMR) of 60 lean and obese men, aged 18-82 y and weighing 60-171 kg, were measured and body compositions were determined. Body compositional variables reflecting active protoplasmic tissue were all highly interrelated. Body weight alone gave prediction values for RMR that were comparable to those of other variables of active protoplasmic tissue mass. Regional distribution of fat had no influence on the RMR and the influence of age on RMR was trivial. The classic prediction equations and tables overestimate RMR of men. The 95%-confidence limits for both lean and obese men were broad. This conclusively demonstrates that metabolic efficiency is not necessarily or exclusively related to obesity. New regression equations for predicting the RMR based on weight and fat-free mass were developed: RMR = 879 + 10.2 WT kg and RMR = 290 + 22.3 FFMD kg, where FFMD is fat-free mass from densitometry measurements.

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Year:  1987        PMID: 3687821     DOI: 10.1093/ajcn/46.6.875

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


  56 in total

1.  Reduced short-term thermic effects of a meal in obese adolescent girls.

Authors:  V L Katch; C P Moorehead; M D Becque; A P Rocchini
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1992

2.  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

3.  Validity of some prediction equations to assess resting energy expenditure (REE) in 29 elderly obese subjects (>60 years).

Authors:  M Siervo; F Labanca; A Colantuoni
Journal:  Eat Weight Disord       Date:  2008-03       Impact factor: 4.652

4.  Total energy expenditure in small for gestational age infants.

Authors:  P S Davies; H Clough; N J Bishop; A Lucas; J J Cole; T J Cole
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1996-07       Impact factor: 5.747

Review 5.  Bioenergetics and body compositional variables of humans.

Authors:  O E Owen; K G Powell; H Silberman
Journal:  Trans Am Clin Climatol Assoc       Date:  1991

6.  Total energy expenditure in small for gestational age infants.

Authors:  P S Davies; H Clough; N J Bishop; A Lucas; J J Cole; T J Cole
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  1996-05       Impact factor: 5.747

7.  Resting energy expenditure in male athletes with a spinal cord injury.

Authors:  Fiona E Pelly; Elizabeth M Broad; Natalie Stuart; Mark A Holmes
Journal:  J Spinal Cord Med       Date:  2017-05-04       Impact factor: 1.985

8.  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

9.  Estimating daily energy expenditure in individuals with amyotrophic lateral sclerosis.

Authors:  Edward J Kasarskis; Marta S Mendiondo; Dwight E Matthews; Hiroshi Mitsumoto; Rup Tandan; Zachary Simmons; Mark B Bromberg; Richard J Kryscio
Journal:  Am J Clin Nutr       Date:  2014-02-12       Impact factor: 7.045

10.  A longitudinal study of hospital undernutrition in the elderly: comparison of four validated methods.

Authors:  P Cansado; P Ravasco; M Camilo
Journal:  J Nutr Health Aging       Date:  2009-02       Impact factor: 4.075

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