Accuracy of Predictive Equations for Estimating Resting Energy Expenditure in Obese Adolescents - 24/05/15
, Concetta Montagnese, PhD 1, 2, Rosa Sammarco, PhD 1, Valeria Amato, MD 1, Elisabetta Della Valle, MD 3, Adriana Franzese, MD 4, Franco Contaldo, MD 1, 5, Fabrizio Pasanisi, MD 1, 5Abstract |
Objective |
To compare resting energy expenditure (REE) measured by indirect calorimetry with REE predicted using different equations in obese adolescents.
Study design |
We recruited 264 obese patients (body mass index ranging from 30.0-70.0 kg/m2) between 14 and 18 years of age. Data were obtained comparing measured and predicted REE derived from published equations for normal weight and obese adolescents. The average differences between measured and predicted REE, as well as the accuracy at ±10% level, were evaluated.
Results |
Evaluating the mean REE in 109 males (1938 ± 271 kcal/d) and 155 females (2569 ± 459 kcal/d), we found that the Lazzer equation in males had the smallest difference between measured and predicted REE; in females the Henry-1, Food and Agriculture Organization/World Health Organization/United Nations University, Schmelze, and Lazzer equations were the most accurate. The prediction accuracy was considered adequate within ±10%.
Conclusions |
REE predictive equations developed in obese patients and for specific age groups are more suitable than those for the general population. Inaccuracy of predicted REE could affect dietary prescription appropriateness and, consequently, dietary compliance in this age group.
Le texte complet de cet article est disponible en PDF.Keyword : BIA, BIAS, BMI, REE, RMSE
Plan
| The authors declare no conflicts of interest. |
Vol 166 - N° 6
P. 1390 - juin 2015 Retour au numéro
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