Literature DB >> 1986084

Estimates of metabolic rate in obese and nonobese adolescents.

W H Dietz1, L G Bandini, D A Schoeller.   

Abstract

To evaluate the validity of equations for the calculation of basal metabolic rate, we compared measured metabolic rates in a population that included obese and nonobese adolescents with metabolic rates calculated from five equations commonly used to estimate metabolic rate. Of the available options, neither the Mayo Clinic nomogram nor the Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU) equations produced estimates that differed significantly from measured values. In a second cohort of severely obese adolescent girls, the FAO/WHO/UNU equation that included both height and weight provided the most accurate estimate of metabolic rate. Because of their simplicity, we recommend use of the FAO/WHO/UNU equations to estimate metabolic rate in adolescent populations (boys: BMR = 17.5 weight (kg) + 651; girls: BMR = 12.2 weight (kg) + 746). However, when obese cohorts are studied, the FAO/WHO/UNU equation that includes both weight and height predicts metabolic rate most accurately (boys: BMR = 16.6 weight (kg) + 77 height (m) + 572; girls: BMR = 7.4 weight (kg) + 482 height (m) + 217).

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Year:  1991        PMID: 1986084     DOI: 10.1016/s0022-3476(05)81870-0

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  10 in total

1.  Energy prediction equations are inadequate for obese Hispanic youth.

Authors:  Catherine J Klein; Stephan A Villavicencio; Amy Schweitzer; Joel S Bethepu; Heather J Hoffman; Nazrat M Mirza
Journal:  J Am Diet Assoc       Date:  2011-08

2.  Energy metabolism in relation to body composition and gender in adolescents.

Authors:  E G van Mil; K R Westerterp; A D Kester; W H Saris
Journal:  Arch Dis Child       Date:  2001-07       Impact factor: 3.791

3.  Predictive equations underestimate resting energy expenditure in female adolescents with phenylketonuria.

Authors:  Meghan E Quirk; Brian J Schmotzer; Rani H Singh
Journal:  J Am Diet Assoc       Date:  2010-06

Review 4.  Measuring energy expenditure in clinical populations: rewards and challenges.

Authors:  T Psota; K Y Chen
Journal:  Eur J Clin Nutr       Date:  2013-02-27       Impact factor: 4.016

5.  Prediction equations for resting energy expenditure in overweight and normal-weight black and white children.

Authors:  Jennifer R McDuffie; Diane C Adler-Wailes; Jane Elberg; Emily N Steinberg; Erica M Fallon; Andrew M Tershakovec; Silva A Arslanian; James P Delany; George A Bray; Jack A Yanovski
Journal:  Am J Clin Nutr       Date:  2004-08       Impact factor: 7.045

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
Journal:  Front Pediatr       Date:  2021-12-06       Impact factor: 3.418

7.  Resting Energy Expenditure and Body Composition in Children and Adolescents With Genetic, Hypothalamic, Medication-Induced or Multifactorial Severe Obesity.

Authors:  Ozair Abawi; Emma C Koster; Mila S Welling; Sanne C M Boeters; Elisabeth F C van Rossum; Mieke M van Haelst; Bibian van der Voorn; Cornelis J de Groot; Erica L T van den Akker
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-11       Impact factor: 6.055

8.  External Validation of Equations to Estimate Resting Energy Expenditure in Critically Ill Children and Adolescents with and without Malnutrition: A Cross-Sectional Study.

Authors:  George Briassoulis; Efrossini Briassouli; Stavroula Ilia; Panagiotis Briassoulis
Journal:  Nutrients       Date:  2022-10-06       Impact factor: 6.706

9.  Accuracy of predictive equations for resting metabolic rate in Korean athletic and non-athletic adolescents.

Authors:  Jae-Hee Kim; Myung-Hee Kim; Gwi-Sun Kim; Ji-Sun Park; Eun-Kyung Kim
Journal:  Nutr Res Pract       Date:  2015-05-22       Impact factor: 1.926

10.  Improved dietary intake among overweight and obese children followed from 8 to 12 years of age in a randomised controlled trial.

Authors:  Maria Waling; Christel Larsson
Journal:  J Nutr Sci       Date:  2012-11-21
  10 in total

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