Literature DB >> 23921297

Comparison of predictive equations and measured resting energy expenditure among obese youth attending a pediatric healthy weight clinic: one size does not fit all.

Sarah T Henes1, Doyle M Cummings, Robert C Hickner, Joseph A Houmard, Kathryn M Kolasa, Suzanne Lazorick, David N Collier.   

Abstract

BACKGROUND: The Academy of Nutrition and Dietetics recommends the use of indirect calorimetry for calculating caloric targets for weight loss in obese youth. Practitioners typically use predictive equations since indirect calorimetry is often not available. The objective of this study was to compare measured resting energy expenditure (MREE) with that estimated using published predictive equations in obese pediatric patients.
MATERIAL AND METHODS: Youth aged 7 to 18 years (n = 80) who were referred to a university-based healthy weight clinic and who were greater than the 95th percentile BMI for age and gender participated. MREE was measured via a portable indirect calorimeter. Predicted energy expenditure (pEE) was estimated using published equations including those commonly used in children. pEE was compared to the MREE for each subject. Absolute mean difference between MREE and pEE, mean percentage accuracy, and mean error were determined.
RESULTS: Mean percentage accuracy of pEE compared with MREE varied widely, with the Harris-Benedict, Lazzer, and Molnar equations providing the greatest accuracy (65%, 61%, and 60%, respectively). Mean differences between MREE and equation-estimated caloric targets varied from 197.9 kcal/day to 307.7 kcal/day.
CONCLUSIONS: The potential to either overestimate or underestimate calorie needs in the clinical setting is significant when comparing EE derived from predictive equations with that measured using portable indirect calorimetry. While our findings suggest that the Harris-Benedict equation has improved accuracy relative to other equations in severely obese youth, the potential for error remains sufficiently great to suggest that indirect calorimetry is preferred.

Entities:  

Keywords:  childhood obesity; energy expenditure; indirect calorimeter; pediatric clinic; portable indirect calorimetry

Mesh:

Year:  2013        PMID: 23921297      PMCID: PMC3883360          DOI: 10.1177/0884533613497237

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  21 in total

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Journal:  J Nutr       Date:  2001-08       Impact factor: 4.798

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Journal:  Am J Clin Nutr       Date:  2004-12       Impact factor: 7.045

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8.  A new predictive equation for resting energy expenditure in healthy individuals.

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9.  Measured and predicted resting metabolic rate in obese and nonobese adolescents.

Authors:  D Molnár; S Jeges; E Erhardt; Y Schutz
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10.  Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report.

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  7 in total

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3.  Do Overweight Adolescents Adhere to Dietary Intervention Messages? Twelve-Month Detailed Dietary Outcomes from Curtin University's Activity, Food and Attitudes Program.

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4.  The impact of Curtin University's activity, food and attitudes program on physical activity, sedentary time and fruit, vegetable and junk food consumption among overweight and obese adolescents: a waitlist controlled trial.

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6.  Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review.

Authors:  Jimena Fuentes-Servín; Azalia Avila-Nava; Luis E González-Salazar; Oscar A Pérez-González; María Del Carmen Servín-Rodas; Aurora E Serralde-Zuñiga; Isabel Medina-Vera; Martha Guevara-Cruz
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7.  Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults.

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Journal:  Int J Environ Res Public Health       Date:  2019-08-01       Impact factor: 3.390

  7 in total

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