Estimation of Warfighter Resting Metabolic Rate

Abstract

The purpose of this study was to identify the best method for estimating the resting metabolic rate (RMR, kcal/h) of the warfighter, given the current level of available knowledge, using methods and data published in the literature. Several published equations for estimating the standard resting metabolic rate (RMRS), defined as the metabolic rate in the morning after an overnight fast, with the subject at rest in a thermoneutral environment in a supine position, were also evaluated. A series of comparison data sets of individual data from results published in the literature, in which obese subjects and subjects younger than 18 and older than 55 yrs, were eliminated. A comparison between estimated RMRS and RMRS values from the comparison data set showed that equations developed by Mifflin and coworkers in 1990 fit the data the best. It was determined that once inherent differences in the subject populations used to develop and test the equations were considered, that the equations developed by differences in the subject populations used to develop and test the equations were considered, that the equations developed by Schofield (1985) for the World Health Organization, provided the best fit to the data. From linear regression analyses on the comparison data set, it was found that a combination of the estimated lean body mass (computed from weight, age and gender) and gender or the body weight (W, kg) with gender and age fit the data equally well STANDARD ERROR OF THE ESTIMATE (SEE = 6.75 kcal/h.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2005
Accession Number
ADA432565

Entities

People

  • Tammy J. Doherty

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Active Duty
  • Army Personnel
  • Body Temperature
  • Body Weight
  • Circadian Rhythms
  • Data Science
  • Department Of Defense
  • Digestive System Processes
  • Feeding Methods
  • Food
  • Information Science
  • Linear Regression Analysis
  • Metabolism
  • Military Operations
  • Military Personnel
  • Regression Analysis
  • Statistics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Gender and Food Studies
  • Regression Analysis.