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Dataset Information

Adult energy requirements predicted from doubly labeled water.


ABSTRACT:

Background

Estimating energy requirements forms an integral part of developing diet and activity interventions. Current estimates often rely on a product of physical activity level (PAL) and a resting metabolic rate (RMR) prediction. PAL estimates, however, typically depend on subjective self-reported activity or a clinician's best guess. Energy-requirement models that do not depend on an input of PAL may provide an attractive alternative.

Methods

Total daily energy expenditure (TEE) measured by doubly labeled water (DLW) and a metabolic chamber from 119 subjects obtained from a database of pre-intervention measurements measured at Pennington Biomedical Research Center were used to develop a metabolic ward and free-living models that predict energy requirements. Graded model

SUBMITTER: Plucker A 

PROVIDER: S-EPMC9218950 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature