Resting energy expenditure in children and adolescents: agreement between calorimetry and prediction equations

2002 ◽  
Vol 21 (3) ◽  
pp. 255-260 ◽  
Author(s):  
G. RODRÍGUEZ ◽  
L.A. MORENO ◽  
A. SARRÍA ◽  
J. FLETA ◽  
M. BUENO
Keyword(s):  
Energy Expenditure ◽  
Children And Adolescents ◽  
Resting Energy Expenditure ◽  
Prediction Equations ◽  
Resting Energy

scholarly journals Development and cross-validation of prediction equations for estimating resting energy expenditure in severely obese Caucasian children and adolescents

2006 ◽  
Vol 96 (5) ◽  
pp. 973-979 ◽  
Author(s):  
Stefano Lazzer ◽  
Fiorenza Agosti ◽  
Alessandra De Col ◽  
Alessandro Sartorio
Keyword(s):  
Energy Expenditure ◽  
Children And Adolescents ◽  
Health Care Professionals ◽  
Cross Validation ◽  
Resting Energy Expenditure ◽  
Accurate Estimation ◽  
Prediction Equations ◽  
Obese Children ◽  
Severely Obese ◽  
Resting Energy

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.

scholarly journals Are prediction equations reliable for estimating resting energy expenditure in chronic kidney disease patients?

2010 ◽  
Vol 26 (2) ◽  
pp. 544-550 ◽  
Author(s):  
M. A. Kamimura ◽  
C. M. Avesani ◽  
A. P. Bazanelli ◽  
F. Baria ◽  
S. A. Draibe ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Prediction Equations ◽  
Resting Energy

Validation of prediction equations for resting energy expenditure in Singaporean Chinese men

2014 ◽  
Vol 8 (3) ◽  
pp. e283-e290 ◽  
Author(s):  
Tammy Song ◽  
Kavita Venkataraman ◽  
Peter Gluckman ◽  
Chong Yap Seng ◽  
Khoo Chin Meng ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Prediction Equations ◽  
Chinese Men ◽  
Resting Energy

Resting energy expenditure and prediction equations in young children with failure to thrive

2000 ◽  
Vol 136 (3) ◽  
pp. 345-350 ◽  
Author(s):  
Timothy A. Sentongo ◽  
Andrew M. Tershakovec ◽  
Maria R. Mascarenhas ◽  
Miriam H. Watson ◽  
Virginia A. Stallings
Keyword(s):  
Energy Expenditure ◽  
Young Children ◽  
Failure To Thrive ◽  
Resting Energy Expenditure ◽  
Prediction Equations ◽  
Resting Energy

scholarly journals New resting energy expenditure prediction equations for patients with rheumatoid arthritis

Rheumatology ◽  
2007 ◽  
Vol 47 (4) ◽  
pp. 500-506 ◽  
Author(s):  
G. S. Metsios ◽  
A. Stavropoulos-Kalinoglou ◽  
V. F. Panoulas ◽  
Y. Koutedakis ◽  
A. M. Nevill ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Prediction Equations ◽  
Resting Energy
Sign in / Sign up

Export Citation Format

Share Document