TY - JOUR
T1 - Validity of Predictive Equations for Resting Energy Expenditure in Greek Adults
AU - Maraki, Maria I.
AU - Panagiotakos, Demosthenes B.
AU - Jansen, Lisa T.
AU - Anastasiou, Costas
AU - Papalazarou, Anastasios
AU - Yannakoulia, Mary
AU - Sidossis, Labros S.
AU - Kavouras, Stavros A.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Aim: To examine the validity of published resting energy expenditure (REE) equations in Greek adults, and if indicated, develop new cohort-specific predictive REE equations. Methods: Indirect calorimetry and anthropometric data were obtained from 226 adult volunteers of diverse age groups and body mass index ranges (18-60 years, 16.6-67.7 kg·m-2). Measured REE was compared to preexisting prediction equations via correlation, regression, and Bland-Altman analysis. Then, cohort-specific REE equations were developed using curve estimation and nonlinear regression. To reduce type I error, presently derived equations were validated by splitting the sample into a training and validation group. Results: Preexisting equations over-predicted in-cohort REE. Equations by Livigston and Kohlstadt were most accurate at the individual level (63% accuracy), while formulas by Owen and collaborators elicited highest accuracy at the group level (-1.8% bias). Bland-Altman analysis showed proportional bias for most equations. Currently developed equations showed highest overall accuracy with 70% at the individual and group level (1.0% bias), with small differences between measured and predicted REE values (mean, 95% CI 36 [-15 to 88] kcal·day-1). Conclusion: Data indicate currently developed equations to be the most accurate and valid for estimating REE in Greek adults. Further studies should examine the developed equations in an independent sample.
AB - Aim: To examine the validity of published resting energy expenditure (REE) equations in Greek adults, and if indicated, develop new cohort-specific predictive REE equations. Methods: Indirect calorimetry and anthropometric data were obtained from 226 adult volunteers of diverse age groups and body mass index ranges (18-60 years, 16.6-67.7 kg·m-2). Measured REE was compared to preexisting prediction equations via correlation, regression, and Bland-Altman analysis. Then, cohort-specific REE equations were developed using curve estimation and nonlinear regression. To reduce type I error, presently derived equations were validated by splitting the sample into a training and validation group. Results: Preexisting equations over-predicted in-cohort REE. Equations by Livigston and Kohlstadt were most accurate at the individual level (63% accuracy), while formulas by Owen and collaborators elicited highest accuracy at the group level (-1.8% bias). Bland-Altman analysis showed proportional bias for most equations. Currently developed equations showed highest overall accuracy with 70% at the individual and group level (1.0% bias), with small differences between measured and predicted REE values (mean, 95% CI 36 [-15 to 88] kcal·day-1). Conclusion: Data indicate currently developed equations to be the most accurate and valid for estimating REE in Greek adults. Further studies should examine the developed equations in an independent sample.
KW - Basal metabolism
KW - Energy balance
KW - Indirect calorimetry
KW - Metabolic rate
KW - Obesity
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U2 - 10.1159/000486320
DO - 10.1159/000486320
M3 - Article
C2 - 29393125
AN - SCOPUS:85041557669
SN - 0250-6807
VL - 72
SP - 134
EP - 141
JO - Annals of Nutrition and Metabolism
JF - Annals of Nutrition and Metabolism
IS - 2
ER -