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ABSTRACT: Background
Contemporary energy expenditure data are crucial to inform and guide nutrition policy in older adults to optimize nutrition and health.Objective
The aim was to determine the optimal method of estimating total energy expenditure (TEE) in adults (aged ≥65 y) through 1) establishing which published predictive equations have the closest agreement between measured resting metabolic rate (RMR) and predicted RMR and 2) utilizing the RMR equations with the best agreement to predict TEE against the reference method of doubly labeled water (DLW).Methods
A database consisting of international participant-level TEE data from DLW studies was developed to enable comparison with energy requirements estimated by 17 commonly used predictive equations. This database includ
SUBMITTER: Porter J
PROVIDER: S-EPMC6885473 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature