Can We Improve Resting Energy Expenditure (REE) Predictions Using a Pooled Data Set and New Formulas?

S.T. St. Jeor; G.R. Cutter; S.J. Hall; J. Krenkel

doi:10.1016/j.jada.2005.05.047

Poster session: Nutrition assessment/medical nutrition therapy| Volume 105, ISSUE 8, SUPPLEMENT , 17, August 2005

Can We Improve Resting Energy Expenditure (REE) Predictions Using a Pooled Data Set and New Formulas?

S.T. St. Jeor, PhD, RD
S.T. St. Jeor
Affiliations
Division of Medical Nutrition, Department of Internal Medicine, University of Nevada School of Medicine, Reno, NV; Department of Biostatistics, University of Alabama at Birmingham, Birmingham AL
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G.R. Cutter, PhD
G.R. Cutter
Affiliations
Division of Medical Nutrition, Department of Internal Medicine, University of Nevada School of Medicine, Reno, NV; Department of Biostatistics, University of Alabama at Birmingham, Birmingham AL
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S.J. Hall, MPH
S.J. Hall
Affiliations
Division of Medical Nutrition, Department of Internal Medicine, University of Nevada School of Medicine, Reno, NV; Department of Biostatistics, University of Alabama at Birmingham, Birmingham AL
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J. Krenkel, MS, RD
J. Krenkel
Affiliations
Division of Medical Nutrition, Department of Internal Medicine, University of Nevada School of Medicine, Reno, NV; Department of Biostatistics, University of Alabama at Birmingham, Birmingham AL
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DOI:https://doi.org/10.1016/j.jada.2005.05.047

To evaluate the accuracy of 3 new predictive equations for resting energy expenditure (REE) compared to selected, widely used formulas (Mifflin-St Jeor, Harris Benedict, Owen and IOM) in a diverse study sample using a pooled data set (N=1420 subjects).

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DOI: https://doi.org/10.1016/j.jada.2005.05.047

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Can We Improve Resting Energy Expenditure (REE) Predictions Using a Pooled Data Set and New Formulas?

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