Literature DB >> 16277827

Estimating energy requirements: regression based prediction equations or multiples of resting metabolic rate.

Michael I Goran1.   

Abstract

Energy requirements have traditionally been determined based on multiples of resting metabolic rate (RMR), known as Physical Activity Levels (PAL). With more data from doubly labelled water studies alternative approaches for estimating energy requirements have been suggested. Statistical analysis reveals that body weight explains more of the variance in total energy expenditure (TEE) than does RMR. The explanation for this phenomenon is that body weight contributes to the variance of both RMR and the other major determinant of TEE, i.e. physical activity related energy expenditure. Thus, in effect, the regression-based approach provides a more physiological appropriate model for TEE. Its major departure from tradition, difference from current adult proposals, and time taken for acceptance are the disadvantages of the regression-based approach.

Entities:  

Mesh:

Year:  2005        PMID: 16277827     DOI: 10.1079/phn2005803

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  6 in total

1.  Dietary energy requirements in relatively healthy maintenance hemodialysis patients estimated from long-term metabolic studies.

Authors:  Anuja Shah; Rachelle Bross; Bryan B Shapiro; Gillian Morrison; Joel D Kopple
Journal:  Am J Clin Nutr       Date:  2016-02-10       Impact factor: 7.045

2.  Spontaneous activity, economy of activity, and resistance to diet-induced obesity in rats bred for high intrinsic aerobic capacity.

Authors:  Colleen M Novak; Carlos Escande; Paul R Burghardt; Minzhi Zhang; Maria Teresa Barbosa; Eduardo N Chini; Steven L Britton; Lauren G Koch; Huda Akil; James A Levine
Journal:  Horm Behav       Date:  2010-03-27       Impact factor: 3.587

3.  Seasonal variation in energy expenditure in a rodent inhabiting a winter-rainfall desert.

Authors:  Rebecca Rimbach; Stéphane Blanc; Alexandre Zahariev; Maria Gatta; Neville Pillay; Carsten Schradin
Journal:  J Comp Physiol B       Date:  2018-06-08       Impact factor: 2.200

4.  Contribution of regional brain melanocortin receptor subtypes to elevated activity energy expenditure in lean, active rats.

Authors:  C Shukla; L G Koch; S L Britton; M Cai; V J Hruby; M Bednarek; C M Novak
Journal:  Neuroscience       Date:  2015-09-25       Impact factor: 3.590

5.  An accelerometer-based earpiece to monitor and quantify physical activity.

Authors:  Chinmay Manohar; Shelly McCrady; Ioannis T Pavlidis; James A Levine
Journal:  J Phys Act Health       Date:  2009-11

6.  Adult energy requirements predicted from doubly labeled water.

Authors:  Andrew Plucker; Diana M Thomas; Nick Broskey; Corby K Martin; Dale Schoeller; Robin Shook; Steven B Heymsfield; James A Levine; Leanne A Redman
Journal:  Int J Obes (Lond)       Date:  2018-07-19       Impact factor: 5.551

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.