Prediction of resting energy expenditure for adolescents with severe obesity: A multi‐centre analysis
Authors' conclusion
This new equation provides an updated REE prediction that accounts for severe obesity and metabolic complications frequently observed in contemporary youth.
Study context
- Population
- Adolescents with severe obesity and obesity-related comorbidities, 5 sites; age 15 ± 1.7 years, 77% female, BMIp95 3.3 ± 0.94
- Participants
- 556 adolescents5 sites
- Comparison
- New predictive resting energy expenditure (REE) equation vs 11 prior equations
- Developmentn = 438
- Validationn = 118
- Outcome
- Predictive REE equation (indirect calorimetry, clinical measures, DXA body composition)
Methodological detailsmulticentre, Elastic Net regression, development and validation cohorts
- Multicentre
- Elastic Net regression
- Development and validation cohorts
Performance
As reported in the abstract
Best fit REE equation
Best fit equation
REE = −2048 + 18.17 × (Height in cm) - 2.57 × (Weight in kg) + 7.88 × (BMIp95) + 189 × (1 = male, 0 = female)
R2
0.466
Mean bias
23 kcal/day
Original publication
Prediction of resting energy expenditure for adolescents with severe obesity: A multi‐centre analysis. Pediatr Obes. Published 24 April 2024. doi:10.
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