Cited by 824Clinical Nutrition and GastroenterologyBody Composition Measurement TechniquesNutrition and Health in Aging

The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass

Roza, A M, Shizgal, H M·1984·The American Journal of Clinical Nutrition

Abstract

The Harris Benedict equations (HBE) were derived from indirect calorimetric data obtained in 239 normal subjects. Using these data and additional data published by Benedict, which were obtained from subjects spanning a wider age range (n = 98), the present study evaluated the relationship between measured resting energy expenditure and age, sex, and predicted body cell mass (BCM). When the additional subjects from the subsequently published series are included, the regression equations, standard error of the estimate, and 95% confidence limits are similar to the original equations. The HBE estimate resting energy expenditure of a normal subject with a precision of 14%. Resting energy expenditure is directly related to the size of the BCM and is independent of age and sex. The variables of height, weight, age, and sex in the HBE reflect the relationship between body weight and the BCM. Indirect calorimetry and body composition measurements were performed in both normally nourished and malnourished patients (n = 74) to assess the accuracy of the HBE in malnourished patients. Malnutrition is associated with an increase in resting oxygen consumption (VO2) which becomes apparent only when VO2 is expressed as a function of the BCM. There is no difference in resting VO2 between the sexes when expressed as a function of BCM. A regression equation was derived from the Harris Benedict data to predict resting VO2 from age, height, weight, and sex. Predicted VO2 was not significantly different from measured VO2 for the normally nourished patients (n = 33) whereas in the malnourished (n = 41) predicted VO2 underestimated the measured value. The HBE accurately predict resting energy expenditure in normally nourished individuals with a precision of +/- 14%, but are unreliable in the malnourished patient.

Integrity signals

Registry

Crossref · 10.1093/ajcn/40.1.168

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 19 references couldn’t be matched to a known paper.

Research works printed but not linked: 6

  1. Kinney JM. The application of indirect calorimetry to clinical studies. In Kinney JM ed. Assessment of energy metabolism in health and disease. Report of the First Ross Conference on Medical Research. Columbus, OH: Ross Laboratories, 1980:42-8.
  2. Armitage P. Statistical methods in medical research. New York, NY: John Wiley and Sons, 1971.
  3. Forse, 1980, The Nae/Ke ratio: a predictor of malnutrition., Surg Forum, 31, 89
  4. Forse, 1981, Effect of malnutrition on oxygen consumption., Surg Forum, 32, 99
  5. Grande F. Energy expenditure of tissue and organs. In: Kinney JM, ed. Assessment of energy metabolism in health and disease. Report of the First Ross Conference on Medical Research. Columbus, OH: Ross Laboratories, 1980:88-92.
  6. Stewart, 1981, Energy expenditure in the critically ill ventilated patient., JPEN, 5

Cited by

Sorted by citations

Authors
Roza, A. M., & Shizgal, H. M.
Corresponding author
Shizgal, H M
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
1984-07
Volume
40
Issue
1
Pages
168-182
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2125884465
Cited by
824
References
19
Citations by year
2026: 31 · 2025: 45 · 2024: 40 · 2023: 45 · 2022: 42 · 2021: 45 · 2020: 58 · 2019: 48 · 2018: 41 · 2017: 52 · 2016: 35 · 2015: 48 · 2014: 25 · 2013: 24 · 2012: 16
FWCI
9.64
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
Keywords
Harris-Benedict equation, resting energy expenditure, body cell mass, indirect calorimetry, resting oxygen consumption, malnutrition, body composition, load forecasting, regression equations, sex differences
MeSH terms
Adult, Age Factors, Aged, Body Composition, Body Weight, Calorimetry, Indirect, Deficiency Diseases, Energy Metabolism, Female, Humans, Male, Middle Aged, Oxygen Consumption, Regression Analysis, Sex Factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review