TY - JOUR
T1 - External validation of equations to estimate resting energy expenditure in 14952 adults with overweight and obesity and 1948 adults with normal weight from Italy
AU - Bedogni, Giorgio
AU - Bertoli, Simona
AU - Leone, Alessandro
AU - De Amicis, Ramona
AU - Lucchetti, Elisa
AU - Agosti, Fiorenza
AU - Marazzi, Nicoletta
AU - Battezzati, Alberto
AU - Sartorio, Alessandro
PY - 2019/2
Y1 - 2019/2
N2 - Background & aims: We cross-validated 28 equations to estimate resting energy expenditure (REE) in a very large sample of adults with overweight or obesity. Methods: 14952 Caucasian men and women with overweight or obesity and 1498 with normal weight were studied. REE was measured using indirect calorimetry and estimated using two meta-regression equations and 26 other equations. The correct classification fraction (CCF) was defined as the fraction of subjects whose estimated REE was within 10% of measured REE. Results: The highest CCF was 79%, 80%, 72%, 64%, and 63% in subjects with normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. The Henry weight and height and Mifflin equations performed equally well with CCFs of 77% vs. 77% for subjects with normal weight, 80% vs. 80% for those with overweight, 72% vs. 72% for those with class 1 obesity, 64% vs. 63% for those with class 2 obesity, and 61% vs. 60% for those with class 3 obesity. The Sabounchi meta-regression equations offered an improvement over the above equations only for class 3 obesity (63%). Conclusions: The accuracy of REE equations decreases with increasing values of body mass index. The Henry weight & height and Mifflin equations are similarly accurate and the Sabounchi equations offer an improvement only in subjects with class 3 obesity.
AB - Background & aims: We cross-validated 28 equations to estimate resting energy expenditure (REE) in a very large sample of adults with overweight or obesity. Methods: 14952 Caucasian men and women with overweight or obesity and 1498 with normal weight were studied. REE was measured using indirect calorimetry and estimated using two meta-regression equations and 26 other equations. The correct classification fraction (CCF) was defined as the fraction of subjects whose estimated REE was within 10% of measured REE. Results: The highest CCF was 79%, 80%, 72%, 64%, and 63% in subjects with normal weight, overweight, class 1 obesity, class 2 obesity, and class 3 obesity, respectively. The Henry weight and height and Mifflin equations performed equally well with CCFs of 77% vs. 77% for subjects with normal weight, 80% vs. 80% for those with overweight, 72% vs. 72% for those with class 1 obesity, 64% vs. 63% for those with class 2 obesity, and 61% vs. 60% for those with class 3 obesity. The Sabounchi meta-regression equations offered an improvement over the above equations only for class 3 obesity (63%). Conclusions: The accuracy of REE equations decreases with increasing values of body mass index. The Henry weight & height and Mifflin equations are similarly accurate and the Sabounchi equations offer an improvement only in subjects with class 3 obesity.
KW - Adults
KW - Indirect calorimetry
KW - Obesity
KW - Overweight
KW - Prediction equations
KW - Resting energy expenditure
UR - http://www.scopus.com/inward/record.url?scp=85044718652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044718652&partnerID=8YFLogxK
U2 - 10.1016/j.clnu.2017.11.011
DO - 10.1016/j.clnu.2017.11.011
M3 - Article
C2 - 29224893
AN - SCOPUS:85044718652
VL - 38
SP - 457
EP - 464
JO - Clinical Nutrition
JF - Clinical Nutrition
SN - 0261-5614
IS - 1
ER -