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Dataset Information

Quantifying energy expenditure in childhood: utility in managing pediatric metabolic disorders.


ABSTRACT:

Background

Energy expenditure prediction equations are used to estimate energy intake based on general population measures. However, when using equations to compare with a disease cohort with known metabolic abnormalities, it is important to derive one's own equations based on measurement conditions matching the disease cohort.

Objective

We aimed to use newly developed prediction equations based on a healthy pediatric population to describe and predict resting energy expenditure (REE) in a cohort of pediatric patients with thyroid disorders.

Methods

Body composition was measured by DXA and REE was assessed by indirect calorimetry in 201 healthy participants. A prediction equation for REE was derived in 100 healthy participants using multiple linear regression and z sc

SUBMITTER: Watson LPE 

PROVIDER: S-EPMC6821543 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature