Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-04T19:49:09.998Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Published online by Cambridge University Press:  02 January 2007

Michael I Goran
Michael I Goran*
Affiliation:
Institute for Prevention Research and Departments of Preventive Medicine and Physiology & Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Keywords

Resting metabolic ratePhysical activity levelRegression based approach
Type
Research Article
Information
Public Health Nutrition , Volume 8 , Issue 7a , October 2005 , pp. 1184 - 1186
Copyright
Copyright © The Author 2005

References

1Goran, MI, Poehlman, ET. Total energy expenditure and energy requirements in healthy elderly persons. Metabolism 1992; 41 744–53.Google Scholar
2Goran, MI, Nagy, TR, Gower, BA, Mazariegos, M, Solomons, N, Hood, V, Johnson, R. Influence of sex, seasonality, ethnicity and geographic location on the components of total energy expenditure in young children: implications for energy requirements. American Journal of Clinical Nutrition 1998; 68(3): 675–82.Google Scholar
3Butte, N. Energy requirements of infants. Public Health Nutrition 2005; 8(7A): 953–67.Google Scholar
4Torun, B. Energy requirements of children and adolescents. Public Health Nutrition 2005; 8(7A): 968–93.CrossRefGoogle ScholarPubMed
5Goran, MI. Variation in total energy expenditure in humans. Obesity Research 1995; 3: 59–66.Google Scholar
6Carpenter, WH, Poehlman, ET, O'Connell, M, Goran, MI. Influence of body composition and resting metabolic rate on variation in total energy expenditure: a meta analysis. American Journal of Clinical Nutrition 1995; 61: 4–10.Google Scholar
7Black, AE, Coward, WA, Cole, TJ, Prentice, AM. Human energy expenditure in affluent societies: an analysis of 574 doubly labelled water measurements. European Journal of Clinical Nutrition 1996; 50: 72–92.Google Scholar