Prediction of resting energy expenditure for adolescents with severe obesity: A multi-centre analysis.
Pediatr Obes
; 19(7): e13123, 2024 Jul.
Article
in En
| MEDLINE
| ID: mdl-38658523
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 circumference, hip circumference, waist/hip ratio, age, Tanner stage, fat and fat-free mass. This equation was verified in the validation cohort and compared with 11 prior equations.RESULTS:
Data from the total cohort (n = 556, age 15 ± 1.7 years, 77% female, BMIp95 3.3 ± 0.94) were utilized. The best fit equation was REE = -2048 + 18.17 × (Height in cm) - 2.57 × (Weight in kg) + 7.88 × (BMIp95) + 189 × (1 = male, 0 = female), R2 = 0.466, and mean bias of 23 kcal/day.CONCLUSION:
This new equation provides an updated REE prediction that accounts for severe obesity and metabolic complications frequently observed in contemporary youth.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Body Composition
/
Obesity, Morbid
/
Body Mass Index
/
Energy Metabolism
/
Pediatric Obesity
Limits:
Adolescent
/
Female
/
Humans
/
Male
Language:
En
Journal:
Pediatr Obes
Year:
2024
Document type:
Article
Affiliation country:
United States