Literature DB >> 12571669

Predicting basal metabolic rate in the obese is difficult.

G W Horgan1, J Stubbs.   

Abstract

OBJECTIVE: To reassess the validity of the Schofield equations for predicting basal metabolic rate (BMR) in the obese. DATA: The data collection compiled from many studies by Schofield in 1985.
METHODS: Nonparametric curve fitting and comparison of groups.
RESULTS: BMR increases more slowly at heavier weights in men (above about 75 kg) and women (above about 65 kg), and to ignore this is to predict overestimates of BMR. Data obtained from studies of different populations show substantial differences, which are influential when data are combined.
CONCLUSIONS: The Schofield equations are unsuitable for obese populations. Given that current Western populations exhibit prevalences of obesity many times greater than those in the Schofield database, this indicates the need for further study of suitable predictors for these individuals.

Entities:  

Mesh:

Year:  2003        PMID: 12571669     DOI: 10.1038/sj.ejcn.1601542

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  16 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.  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.  Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies.

Authors:  Jinnie J Rhee; Laura Sampson; Eunyoung Cho; Michael D Hughes; Frank B Hu; Walter C Willett
Journal:  Am J Epidemiol       Date:  2015-02-05       Impact factor: 4.897

4.  Predictive equations overestimate the resting metabolic rate in postmenopausal women.

Authors:  V Bonganha; C A Libardi; C F Santos; G V De Souza; M S Conceição; M P T Chacon-Mikahil; V A Madruga
Journal:  J Nutr Health Aging       Date:  2013-03       Impact factor: 4.075

5.  Indirect calorimetry in obese female subjects: Factors influencing the resting metabolic rate.

Authors:  Theresa Hagedorn; Eleonora Poggiogalle; Claudia Savina; Cecilia Coletti; Maddalena Paolini; Luciano Scavone; Barbara Neri; Lorenzo Maria Donini
Journal:  World J Exp Med       Date:  2012-06-20

6.  Propofol Sedation for Intragastric Balloon Removal: Looking for the Optimal Body Weight Descriptor.

Authors:  Georgia Tsaousi; Barbara Fyntanidou; George Stavrou; Pyrros Papakostas; Katerina Kotzampassi; Vasilios Grosomanidis
Journal:  Obes Surg       Date:  2019-12       Impact factor: 4.129

7.  Accuracy of prediction equations for calculating resting energy expenditure in morbidly obese patients.

Authors:  S Ullah; R Arsalani-Zadeh; J MacFie
Journal:  Ann R Coll Surg Engl       Date:  2012-03       Impact factor: 1.891

8.  Alternative methods of accounting for underreporting and overreporting when measuring dietary intake-obesity relations.

Authors:  Michelle A Mendez; Barry M Popkin; Genevieve Buckland; Helmut Schroder; Pilar Amiano; Aurelio Barricarte; José-María Huerta; José R Quirós; María-José Sánchez; Carlos A González
Journal:  Am J Epidemiol       Date:  2011-01-17       Impact factor: 4.897

9.  Plausible self-reported dietary intakes in a residential facility are not necessarily reliable.

Authors:  S Whybrow; R J Stubbs; A M Johnstone; L M O'Reilly; Z Fuller; M B E Livingstone; G W Horgan
Journal:  Eur J Clin Nutr       Date:  2015-07-29       Impact factor: 4.016

10.  Comparison of predictive equations for resting energy expenditure in severely obese Caucasian children and adolescents.

Authors:  S Lazzer; F Agosti; A De Col; D Mornati; A Sartorio
Journal:  J Endocrinol Invest       Date:  2007-04       Impact factor: 4.256

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