Unknown

Dataset Information

Development and validation of new predictive equations for the resting metabolic rate of older adults aged ≥65 y.


ABSTRACT:

Background

The aging process alters the resting metabolic rate (RMR), but it still accounts for 50%-70% of the total energy needs. The rising proportion of older adults, especially those over 80 y of age, underpins the need for a simple, rapid method to estimate the energy needs of older adults.

Objectives

This research aimed to generate and validate new RMR equations specifically for older adults and to report their performance and accuracy.

Methods

Data were sourced to form an international dataset of adults aged ≥65 y (n = 1686, 38.5% male) where RMR was measured using the reference method of indirect calorimetry. Multiple regression was used to predict RMR from age (y), sex, weight (kg), and height (cm). Double cross-validation in a randomized, sex-stratified, age

SUBMITTER: Porter J 

PROVIDER: S-EPMC10447471 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature