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Accuracy of SenseWear Pro2 Armband to Predict Resting Energy Expenditure in Childhood Obesity
Author(s) -
Predieri Barbara,
Bruzzi Patrizia,
Lami Francesca,
Vellani Giulia,
Malavolti Marcella,
Battistini Nino C,
Iughetti Lorenzo
Publication year - 2013
Publication title -
obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.438
H-Index - 199
eISSN - 1930-739X
pISSN - 1930-7381
DOI - 10.1002/oby.20427
Subject(s) - resting energy expenditure , energy expenditure , medicine , limits of agreement , obesity , kilogram , childhood obesity , total energy expenditure , zoology , body weight , nuclear medicine , biology , overweight
Objective: The accuracy of the SenseWear Pro2 Armband (SWA) in estimating resting energy expenditure (REE) in children and adolescents with obesity, using indirect calorimetry (IC) as a reference was evaluated. Design and Methods: REE was assessed using both the SWA and IC in 40 obese subjects (26 M/14 F, age 11.5 ± 2.57 years, z ‐score BMI 3.14 ± 0.53). The agreement between methods was assessed by the Bland‐Altman procedure. The relationship between REE assessments and patients' characteristics was also analyzed. Results : SWA‐ and IC‐derived estimates of REE showed a significant correlation ( r = 0.614; P < 0.001), but the SWA overestimated mean REE by 13% ( P < 0.001). Age and kilogram of fat‐free mass (kg‐FFM) were significantly correlated with both REE estimation by SWA ( r = 0.434 and r = 0.564, respectively) and IC ( r = 0.401 and r = 0.518, respectively). Only kg‐FFM was demonstrated to be the main predictor factor of REE variability ( r 2 79% SWA; 75% IC). Conclusions: The SWA overestimated mean REE in childhood obesity, suggesting that the SWA and IC are not yet interchangeable methods. This would require improving the SWA by developing better algorithms for predicting REE and, probably, bias in each individual REE could be reduced by an adjustment for subjects' kg‐FFM.