Prediction of resting energy expenditure for adolescents with severe obesity: A multi-centre analysis.

ABSTRACT:

Background and objectives

Resting energy expenditure (REE) assessments can help inform clinical treatment decisions in adolescents with elevated body mass index (BMI), but current equations are suboptimal for severe obesity. We developed a predictive REE equation for youth with severe obesity and obesity-related comorbidities and compared results to previously published predictive equations.

Methods

Data from indirect calorimetry, clinical measures, and body composition per Dual x-ray absorptiometry (DXA) were collected from five sites. Data were randomly divided into development (N = 438) and validation (N = 118) cohorts. A predictive equation was developed using Elastic Net regression, using sex, race, ethnicity, weight, height, BMI percent of the 95th%ile (BMIp95), waist

SUBMITTER: Rydin AA 

PROVIDER: S-EPMC11448316 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature