Estimating energy requirements

Regression based prediction equations or multiples of resting metabolic rate

Bibliographic Data

ID15092811
AuthorsMichael I Goran (0000-0002-6897-6961, University of Southern California, corresponding author)
Year2005
Volume8
Issue7a
Pages1184-1186
Publication date2005-10-01
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1079/phn2005803
PMID16277827
OpenAlexW2155777484
LanguageEN
Citations received1
References cited6

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

Analysis of variance · Basal metabolic rate · Body weight · Doubly labeled water · Econometrics · Economics · Energy expenditure · Energy metabolism · Energy requirement · Linear regression · Metabolic rate · Multiple · Regression · Regression analysis · Statistics · Total energy expenditure · Body Composition Measurement Techniques · Mathematics · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Endocrinology

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