Literature DB >> 3361959

Resting metabolic requirements of men and women.

O E Owen1.   

Abstract

The resting metabolic rates (RMRs) of 44 lean and obese women, 8 of whom were trained athletes, and of 60 lean and obese men were measured by indirect calorimetry. These healthy humans, ranging from 18 to 82 years old and from 43 to 171 kg in weight, were mentally and physically active. Body composition was determined by densitometry and skinfold thickness. Stepwise multiple regression analysis was used to determine whether one or several variables best predicted RMR. Body compositional variables reflecting active protoplasmic tissue were all highly interrelated. Body weight alone yielded prediction values for RMR comparable to those of other variables of active protoplasmic tissue mass. Among these mentally and physically active women and men, the influence of age on RMR was trivial, and regional distribution of fat had no influence on the RMR. The 95% confidence limits for RMR in both lean and obese subjects were broad. Thus, metabolic efficiency is not necessarily or exclusively related to obesity. In fact, the caloric requirements of humans, based on body weight or active protoplasmic tissue mass, may vary twofold. With the exception of the elderly men, the classic prediction equations and tables developed during the first half of this century greatly overestimated the RMR of healthy lean and obese humans. Therefore, new regression equations for predicting the RMR based on weight and fat-free mass were developed.

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Year:  1988        PMID: 3361959     DOI: 10.1016/s0025-6196(12)65649-3

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  10 in total

Review 1.  The impact of exercise and diet restriction on daily energy expenditure.

Authors:  E T Poehlman; C L Melby; M I Goran
Journal:  Sports Med       Date:  1991-02       Impact factor: 11.136

Review 2.  Bioenergetics and body compositional variables of humans.

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

3.  Energy expenditure and physical activity in Prader-Willi syndrome: comparison with obese subjects.

Authors:  Merlin G Butler; Mariana F Theodoro; Douglas C Bittel; Joseph E Donnelly
Journal:  Am J Med Genet A       Date:  2007-03-01       Impact factor: 2.802

4.  Lower sedentary metabolic rate in women compared with men.

Authors:  R Ferraro; S Lillioja; A M Fontvieille; R Rising; C Bogardus; E Ravussin
Journal:  J Clin Invest       Date:  1992-09       Impact factor: 14.808

5.  Accuracy of the Resting Energy Expenditure Estimation Equations for Healthy Women.

Authors:  Rafael Molina-Luque; Fernanda Carrasco-Marín; Constanza Márquez-Urrizola; Natalia Ulloa; Manuel Romero-Saldaña; Guillermo Molina-Recio
Journal:  Nutrients       Date:  2021-01-24       Impact factor: 5.717

6.  Failed rapid sequence induction in an achondroplastic dwarf.

Authors:  Jasleen Kaur; Padmaja Durga; Nirmala Jonnavithula; Gopinath Ramachandran
Journal:  Indian J Anaesth       Date:  2011-05

7.  Accuracy of predicted resting metabolic rate and relationship between resting metabolic rate and cardiorespiratory fitness in obese men.

Authors:  Do Kyung Kim
Journal:  J Exerc Nutrition Biochem       Date:  2014-02-28

Review 8.  Energy Expenditure in People with Diabetes Mellitus: A Review.

Authors:  Nathan Caron; Nicolas Peyrot; Teddy Caderby; Chantal Verkindt; Georges Dalleau
Journal:  Front Nutr       Date:  2016-12-22

9.  Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate.

Authors:  Eleni Pavlidou; Dimitris Petridis; Maria Tolia; Nikolaos Tsoukalas; Antigoni Poultsidi; Aristeidis Fasoulas; George Kyrgias; Constantinos Giaginis
Journal:  Nutr Metab (Lond)       Date:  2018-06-15       Impact factor: 4.169

10.  Resting Energy Expenditure in the Elderly: Systematic Review and Comparison of Equations in an Experimental Population.

Authors:  Honoria Ocagli; Corrado Lanera; Danila Azzolina; Gianluca Piras; Rozita Soltanmohammadi; Silvia Gallipoli; Claudia Elena Gafare; Monica Cavion; Daniele Roccon; Luca Vedovelli; Giulia Lorenzoni; Dario Gregori
Journal:  Nutrients       Date:  2021-01-29       Impact factor: 5.717

  10 in total

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