AJCN North Carolina Research Campus
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Vinken, A. G
Right arrow Articles by Roberts, S. B
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Vinken, A. G
Right arrow Articles by Roberts, S. B
Agricola
Right arrow Articles by Vinken, A. G
Right arrow Articles by Roberts, S. B
American Journal of Clinical Nutrition, Vol. 69, No. 5, 920-926, May 1999
© 1999 American Society for Clinical Nutrition


Original Research Communications

Equations for predicting the energy requirements of healthy adults aged 18–81 y1,2,3

Angela G Vinken, Gaston P Bathalon, Ana L Sawaya, Gerard E Dallal, Katherine L Tucker and Susan B Roberts

Background: Recent studies have questioned the accuracy of using the current recommended dietary allowances (RDAs) to predict usual energy requirements in adults.

Objective: We developed equations to predict adult energy requirements from simple anthropometric and laboratory measures by using the doubly labeled water method to determine each subject's total energy expenditure (TEE), which is equal to usual energy requirements in weight-stable individuals.

Design: This was a cross-sectional study conducted with 93 healthy, free-living adults [44 men and 49 women; body mass index range (in kg/m2): 18.4–31.8] aged 18–81 y. Body fat and fat-free mass were measured by underwater weighing, physical activity was estimated by using activity monitors, and resting energy expenditure was determined by indirect calorimetry. Information on anthropometric variables and reported strenuous activity was also collected.

Results: Three regression equations were developed and verified for accuracy by using bootstrap analysis and doubly labeled water data published by other research groups. The first equation used information on only age, weight, height, and sex and had an SEE for prediction of TEE of 1.80 MJ/d. The second and third equations used different combinations of basic and laboratory data and had SEEs of 1.55 and 1.65 MJ/d, respectively. With use of the same analytic approaches, the RDAs for energy were shown to significantly underestimate usual energy needs by {approx}10%; the extent of underestimation was significantly greater for subjects with high TEEs than for subjects with low TEEs.

Conclusion: Regression equations based on doubly labeled water measurements of TEE appear to be more accurate than the current RDAs for predicting energy requirements in healthy, nonobese adults living in affluent countries.

Key Words: Energy requirements • energy expenditure • isotopes • body composition • exercise • regression equations • doubly labeled water method • recommended dietary allowances • adults




This article has been cited by other articles:


Home page
Am. J. Clin. Nutr.Home page
M. St-Onge, D. Mignault, D. B Allison, and R. Rabasa-Lhoret
Evaluation of a portable device to measure daily energy expenditure in free-living adults
Am. J. Clinical Nutrition, March 1, 2007; 85(3): 742 - 749.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
M. J Muller, A. Bosy-Westphal, S. Klaus, G. Kreymann, P. M Luhrmann, M. Neuhauser-Berthold, R. Noack, K. M Pirke, P. Platte, O. Selberg, et al.
World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure
Am. J. Clinical Nutrition, November 1, 2004; 80(5): 1379 - 1390.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
M. A. McCrory, V. M.M. Suen, and S. B. Roberts
Biobehavioral Influences on Energy Intake and Adult Weight Gain
J. Nutr., December 1, 2002; 132(12): 3830S - 3834.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
N. K Horner, R. E Patterson, M. L Neuhouser, J. W Lampe, S. A Beresford, and R. L Prentice
Participant characteristics associated with errors in self-reported energy intake from the Women's Health Initiative food-frequency questionnaire
Am. J. Clinical Nutrition, October 1, 2002; 76(4): 766 - 773.
[Abstract] [Full Text] [PDF]


Home page
CMAJHome page
C. L. Birmingham and P. J. Jones
Clinical nutrition: 5. How much should Canadians eat?
Can. Med. Assoc. J., March 1, 2002; 166(6): 767 - 770.
[Full Text] [PDF]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
G. P. Bathalon, N. P. Hays, S. N. Meydani, B. Dawson-Hughes, E. J. Schaefer, R. Lipman, M. Nelson, A. S. Greenberg, and S. B. Roberts
Metabolic, Psychological, and Health Correlates of Dietary Restraint in Healthy Postmenopausal Women
J. Gerontol. A Biol. Sci. Med. Sci., April 1, 2001; 56(4): 206M - 211.
[Abstract] [Full Text]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1999 by The American Society for Nutrition