Prediction of resting energy expenditure for adolescents with severe obesity: A multi‐centre analysis-Reference-Cited by-同舟云学术

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

Published:2024-04-24 Issue:7 Volume:19 Page:
ISSN:2047-6302
Container-title:Pediatric Obesity
language:en
Short-container-title:Pediatric Obesity

Author:

Rydin Amy A.¹^ORCID,Severn Cameron²³,Pyle Laura²³,Morelli Nazeen¹,Shoemaker Ashley H.⁴^ORCID,Chung Stephanie T.⁵^ORCID,Yanovski Jack A.⁶,Han Joan C.⁷,Higgins Janine A.¹⁸,Nadeau Kristen J.¹⁹,Fox Claudia¹⁰^ORCID,Kelly Aaron S.¹⁰,Cree Melanie G.¹⁹^ORCID

Affiliation:

1. Section of Pediatric Endocrinology, Department of Pediatrics Children's Hospital Colorado, University of Colorado Anschutz Medical Campus Aurora Colorado USA

2. Department of Pediatrics Children's Hospital Colorado Aurora Colorado USA

3. Department of Biostatistics and Informatics Colorado School of Public Health Aurora Colorado USA

4. Division of Pediatric Endocrinology Vanderbilt University Medical Center Nashville Tennessee USA

5. Section on Pediatric Diabetes, Obesity, and Metabolism National Institutes of Diabetes and Digestive and Kidney Diseases, NIH Bethesda Maryland USA

6. Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health Bethesda Maryland USA

7. Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Mount Sinai Kravis Children's Hospital Icahn School of Medicine New York New York USA

8. Section of Nutrition, Department of Pediatrics Children's Hospital Colorado, University of Colorado Anschutz Medical Campus Aurora Colorado USA

9. Ludeman Family Center for Women's Health Research University of Colorado Anschutz Medical Campus Aurora Colorado USA

10. Center for Pediatric Obesity Medicine, Department of Pediatrics University of Minnesota Medical School Minneapolis Minnesota USA

Abstract

SummaryBackground and ObjectivesResting 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.MethodsData 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.ResultsData 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.ConclusionThis new equation provides an updated REE prediction that accounts for severe obesity and metabolic complications frequently observed in contemporary youth.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijpo.13123

Reference36 articles.

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