Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 457-464 |
| Number of pages | 8 |
| Journal | Clinical Nutrition |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2019 |
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Keywords
- Adults
- Indirect calorimetry
- Obesity
- Overweight
- Prediction equations
- Resting energy expenditure
ASJC Scopus subject areas
- Nutrition and Dietetics
- Critical Care and Intensive Care Medicine
Cite this
External validation of equations to estimate resting energy expenditure in 14952 adults with overweight and obesity and 1948 adults with normal weight from Italy. / Bedogni, Giorgio; Bertoli, Simona; Leone, Alessandro; De Amicis, Ramona; Lucchetti, Elisa; Agosti, Fiorenza; Marazzi, Nicoletta; Battezzati, Alberto; Sartorio, Alessandro.
In: Clinical Nutrition, Vol. 38, No. 1, 02.2019, p. 457-464.Research output: Contribution to journal › Article
}
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 -