Comparison of Resting Energy Expenditure Prediction Equations and Indirect Calorimetry Among Adults with Severe Obesity.

ABSTRACT:

Background

Proper estimations of resting energy expenditure (REE) are important for developing weight management strategies, but it is unclear which prediction equations best estimate REE for those with severe obesity.

Objectives

This validation study tested 11 previously validated REE prediction equations to determine which equations estimate REE with the least bias and most precision in participants with severe obesity.

Methods

REE was measured by indirect calorimetry in 632 females and 148 males with severe obesity from the Utah Obesity Study. A literature search was conducted to identify prediction equations designed from, validated, or commonly used in samples with severe obesity. All equations were tested on each participant. Equations were considered unbiased i

SUBMITTER: Rather SW 

PROVIDER: S-EPMC12554929 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature