title: Estimating energy requirements: regression based prediction equations or multiples of resting metabolic rate.
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.
authors.affiliation: Institute for Prevention Research and Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA. goran@usc.edu
authors.forename: Michael I
authors.initials: MI
authors.lastname: Goran
mesh_terms: D001481:Basal Metabolism / Q000502:physiology*; D001835:Body Weight / Q000502:physiology*; D004734:Energy Metabolism / Q000502:physiology*; D015444:Exercise / Q000502:physiology*; D006801:Humans; D009751:Nutritional Requirements; D011237:Predictive Value of Tests