Resting Energy Expenditure and Food-Induced Thermogenesis in Obese Children

1993 ◽  
Vol 16 (4) ◽  
pp. 451-457 ◽  
Author(s):  
P. Tounian ◽  
J. Ph. Girardet ◽  
L. Carlier ◽  
M. L. Frelut ◽  
F. Veinberg ◽  
...  
PEDIATRICS ◽  
1993 ◽  
Vol 91 (2) ◽  
pp. 281-286
Author(s):  
Robert C. Klesges ◽  
Mary L. Shelton ◽  
Lisa M. Klesges

The effects of television viewing on resting energy expenditure (metabolic rate) in obese and normal-weight children were studied in a laboratory setting. Subjects were 15 obese children and 16 normal-weight children whose ages ranged from 8 to 12 years. All subjects had two measures of resting energy expenditure obtained while at rest and one measurement of energy expenditure taken while viewing television. Results indicated that metabolic rate during television viewing was significantly lower (mean decrease of 211 kcal extrapolated to a day) than during rest. Obese children tended to have a larger decrease, although this difference was not statistically significant (262 kcal/d vs 167 kcal/d, respectively). It was concluded that television viewing has a fairly profound lowering effect of metabolic rate and may be a mechanism for the relationship between obesity and amount of television viewing.


2004 ◽  
Vol 93 (6) ◽  
pp. 739-746 ◽  
Author(s):  
H Schmelzle ◽  
C Schröder ◽  
S Armbrust ◽  
S Unverzagt ◽  
C Fusch

2002 ◽  
Vol 58 (1) ◽  
pp. 9-15 ◽  
Author(s):  
G. Rodríguez ◽  
L. A. Moreno ◽  
A. Sarría ◽  
I. Pineda ◽  
J. Fleta ◽  
...  

2016 ◽  
Author(s):  
Amanda Peacock ◽  
Talat Mushtaq ◽  
Erin Alexander ◽  
Helen Truby ◽  
Darren Greenwood ◽  
...  

2006 ◽  
Vol 96 (5) ◽  
pp. 973-979 ◽  
Author(s):  
Stefano Lazzer ◽  
Fiorenza Agosti ◽  
Alessandra De Col ◽  
Alessandro Sartorio

The objectives of the present study were to develop and cross-validate new equations for predicting resting energy expenditure (REE) in severely obese children and adolescents, and to determine the accuracy of new equations using the Bland–Altman method. The subjects of the study were 574 obese Caucasian children and adolescents (mean BMI z-score 3·3). REE was determined by indirect calorimetry and body composition by bioelectrical impedance analysis. Equations were derived by stepwise multiple regression analysis using a calibration cohort of 287 subjects and the equations were cross-validated in the remaining 287 subjects. Two new specific equations based on anthropometric parameters were generated as follows: (1) REE=(Sex×892·68)−(Age×115·93)+(Weight×54·96)+(Stature×1816·23)+1484·50 (R2 0·66; se 1028·97 kJ); (2) REE=(Sex×909·12)−(Age×107·48)+(fat-free mass×68·39)+(fat mass×55·19)+3631·23 (R2 0·66; se 1034·28 kJ). In the cross-validation group, mean predicted REE values were not significantly different from the mean measured REE for all children and adolescents, as well as for boys and for girls (difference <2 %) and the limits of agreement (±2 sd) were +2·06 and −1·77 MJ/d (NS). The new prediction equations allow an accurate estimation of REE in groups of severely obese children and adolescents. These equations might be useful for health care professionals and researchers when estimating REE in severely obese children and adolescents.


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