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[PROPOSAL FOR A NEW FORMULA FOR ESTIMATING RESTING ENERGY EXPENDITURE FOR HEALTHY SPANISH POPULATION].

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A new predictive equation estimates resting energy expenditure (REE) for Spanish adults using sex, weight, and age. This simple formula accurately predicts REE in both normal-weight and overweight individuals.

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Area of Science:

  • Nutritional Science
  • Human Physiology
  • Biostatistics

Background:

  • Indirect calorimetry (IC) is accurate but complex for routine use.
  • Predictive equations offer a simpler alternative for estimating resting energy expenditure (REE).
  • A need exists for a practical REE prediction equation for the Spanish population.

Purpose of the Study:

  • To develop and validate a new predictive equation for estimating REE.
  • To ensure the equation is suitable for the healthy Spanish population.
  • To assess the equation's performance in overweight individuals.

Main Methods:

  • REE was measured using indirect calorimetry (IC) in 95 healthy Spanish volunteers.
  • Multiple linear regression with Cp of Mallows and adjusted R2 was used for equation development.
  • Validation involved intraclass correlation coefficient (ICC) and Bland-Altman plots in normal and overweight groups.

Main Results:

  • The developed equation is: y = 1376.4 - 308*Sex + 11.1*Weight - 8*Age.
  • The equation explained 68% of the variance in REE (R2=0.68).
  • High agreement was found between the new equation and IC in normal-weight (ICC=0.901) and overweight (ICC=0.880) individuals.

Conclusions:

  • A new, simple, and practical predictive equation for estimating REE in the Spanish population was developed.
  • The equation incorporates sex, weight, and age for ease of application.
  • The new formula demonstrates good accuracy and agreement in both normal-weight and overweight individuals.