Cited by 351Body Composition Measurement TechniquesClinical Nutrition and GastroenterologyNutrition and Health Studies

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

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Müller, Manfred J, Bosy-Westphal, Anja, Klaus, Susanne, Kreymann, Georg, Lührmann, Petra M, Neuhäuser-Berthold, Monika, Noack, Rudolf, Pirke, Karl M +3 more·2004·The American Journal of Clinical Nutrition

Abstract

Background Reference standards for resting energy expenditure (REE) are widely used. Current standards are based on measurements made in the first part of the past century in various races and locations.Objective The aim of the present study was to investigate the application of the World Health Organization (WHO) equations from 1985 in healthy subjects living in a modern, affluent society in Germany and to generate a new formula for predicting REE.Design The study was a cross-sectional and retrospective analysis of data on REE and body composition obtained from 2528 subjects aged 5-91 y in 7 different centers between 1985 and 2002.Results Mean REE varied between 5.63 and 8.07 MJ/d in males and between 5.35 and 6.46 MJ/d in females. WHO prediction equations systematically overestimated REE at low REE values but underestimated REE at high REE values. There were significant and independent effects of sex, age, body mass or fat-free mass, and fat mass on REE. Multivariate regression analysis explained up to 75% of the variance in REE. Two prediction formulas including weight, sex, and age or fat-free mass, fat mass, sex, and age, respectively, were generated in a subpopulation and cross-validated in another subpopulation. Significant deviations were still observed for underweight and normal-weight subjects. REE prediction formulas for specific body mass index groups reduced the deviations. The normative data for REE from the Institute of Medicine underestimated our data by 0.3 MJ/d.Conclusions REE prediction by WHO formulas systematically over- and underestimates REE. REE prediction from a weight group-specific formula is recommended in underweight subjects.

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Research works printed but not linked: 2

  1. Steininger J, Noack R. Bestimmung von energie-und substratumsa ¨tzen mittels indirekter kalorimetrie. [Determining energy and substrate me- tabolism from indirect calorimtery.] Z Med Lab Diagn 1988;29:17-27 (in German).
  2. Platte P, Wurmser H, Wade SE, Mercheril A, Pirke KM. Resting met- abolic rate and diet-induced thermogenesis in restrained and unre- strained eaters. Int J Eat Disord 1996;20:33-41.

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Authors
Müller, M. J., Bosy-Westphal, A., Klaus, S., Kreymann, G., Lührmann, P. M., Neuhäuser-Berthold, M., Noack, R., Pirke, K. M., Platte, P., Selberg, O., & Steiniger, J.
Affiliations
Justus-Liebig-Universität Gießen (DE)
Corresponding author
Müller, Manfred J
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
2004-11
Volume
80
Issue
5
Pages
1379-1390
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2147416676
Cited by
351
References
42
Citations by year
2026: 14 · 2025: 12 · 2024: 18 · 2023: 20 · 2022: 20 · 2021: 20 · 2020: 22 · 2019: 28 · 2018: 17 · 2017: 19 · 2016: 11 · 2015: 26 · 2014: 17 · 2013: 12 · 2012: 11
FWCI
5.55
Type
journal article
Language
en
Open access
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed (publishedVersion)
Funders
Deutsche Forschungsgemeinschaft
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
Keywords
resting energy expenditure, reference materials, body composition, fat-free mass, fat mass, body mass index, underweight, cross-validation, German population
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Basal Metabolism, Body Composition, Body Weight, Child, Cross-Sectional Studies, Female, Germany, Humans, Male, Middle Aged, Predictive Value of Tests, Reference Standards, Retrospective Studies, World Health Organization, Databases, Factual

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