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Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y.
Am J Clin Nutr. 2008 Oct; 88(4):959-70.AJ

Abstract

BACKGROUND

Individual energy requirements of overweight and obese adults can often not be measured by indirect calorimetry.

OBJECTIVE

The objective was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in US and Dutch adults aged 18-65 y with a body mass index (in kg/m(2)) of 25 to 40.

DESIGN

Predictive equations based on weight, height, sex, age, fat-free mass, and fat mass were tested. REE in Dutch adults was measured with indirect calorimetry, and published data from the Institute of Medicine were used for US adults. The accuracy of the equations was evaluated on the basis of the percentage of subjects predicted within 10% of the REE measured, the root mean squared prediction error (RMSE), and the mean percentage difference (bias) between predicted and measured REE.

RESULTS

Twenty-seven predictive equations (9 of which were based on FFM) were included. Validation was based on 180 women and 158 men from the United States and on 154 women and 54 men from the Netherlands aged <65 y with a body mass index (in kg/m(2)) of 25 to 40. Most accurate and precise for the US adults was the Mifflin equation (prediction accuracy: 79%; bias: -1.0%; RMSE: 136 kcal/d), for overweight Dutch adults was the FAO/WHO/UNU weight equation (prediction accuracy: 68%; bias: -2.5%; RMSE: 178), and for obese Dutch adults was the Lazzer equation (prediction accuracy: 69%; bias: -3.0%; RMSE: 215 kcal/d).

CONCLUSIONS

For US adults aged 18-65 y with a body mass index of 25 to 40, the REE can best be estimated with the Mifflin equation. For overweight and obese Dutch adults, there appears to be no accurate equation.

Authors+Show Affiliations

Department of Nutrition and Dietetics, Hogeschool van Amsterdam, University of Applied Science, Amsterdam, Netherlands. p.j.m.weijs@hva.nl

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

18842782

Citation

Weijs, Peter J M.. "Validity of Predictive Equations for Resting Energy Expenditure in US and Dutch Overweight and Obese Class I and II Adults Aged 18-65 Y." The American Journal of Clinical Nutrition, vol. 88, no. 4, 2008, pp. 959-70.
Weijs PJ. Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. Am J Clin Nutr. 2008;88(4):959-70.
Weijs, P. J. (2008). Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. The American Journal of Clinical Nutrition, 88(4), 959-70.
Weijs PJ. Validity of Predictive Equations for Resting Energy Expenditure in US and Dutch Overweight and Obese Class I and II Adults Aged 18-65 Y. Am J Clin Nutr. 2008;88(4):959-70. PubMed PMID: 18842782.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. A1 - Weijs,Peter J M, PY - 2008/10/10/pubmed PY - 2008/11/5/medline PY - 2008/10/10/entrez SP - 959 EP - 70 JF - The American journal of clinical nutrition JO - Am. J. Clin. Nutr. VL - 88 IS - 4 N2 - BACKGROUND: Individual energy requirements of overweight and obese adults can often not be measured by indirect calorimetry. OBJECTIVE: The objective was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in US and Dutch adults aged 18-65 y with a body mass index (in kg/m(2)) of 25 to 40. DESIGN: Predictive equations based on weight, height, sex, age, fat-free mass, and fat mass were tested. REE in Dutch adults was measured with indirect calorimetry, and published data from the Institute of Medicine were used for US adults. The accuracy of the equations was evaluated on the basis of the percentage of subjects predicted within 10% of the REE measured, the root mean squared prediction error (RMSE), and the mean percentage difference (bias) between predicted and measured REE. RESULTS: Twenty-seven predictive equations (9 of which were based on FFM) were included. Validation was based on 180 women and 158 men from the United States and on 154 women and 54 men from the Netherlands aged <65 y with a body mass index (in kg/m(2)) of 25 to 40. Most accurate and precise for the US adults was the Mifflin equation (prediction accuracy: 79%; bias: -1.0%; RMSE: 136 kcal/d), for overweight Dutch adults was the FAO/WHO/UNU weight equation (prediction accuracy: 68%; bias: -2.5%; RMSE: 178), and for obese Dutch adults was the Lazzer equation (prediction accuracy: 69%; bias: -3.0%; RMSE: 215 kcal/d). CONCLUSIONS: For US adults aged 18-65 y with a body mass index of 25 to 40, the REE can best be estimated with the Mifflin equation. For overweight and obese Dutch adults, there appears to be no accurate equation. SN - 1938-3207 UR - https://www.unboundmedicine.com/medline/citation/18842782/Validity_of_predictive_equations_for_resting_energy_expenditure_in_US_and_Dutch_overweight_and_obese_class_I_and_II_adults_aged_18_65_y_ L2 - https://academic.oup.com/ajcn/article-lookup/doi/10.1093/ajcn/88.4.959 DB - PRIME DP - Unbound Medicine ER -