External Validation Of Equations To Estimate Resting Energy Expenditure In 14952 Adults With Overweight And Obesity And 1948 Adults With Normal Weight From Italy
Articolo
Data di Pubblicazione:
2019
Citazione:
External Validation Of Equations To Estimate Resting Energy Expenditure In 14952 Adults With Overweight And Obesity And 1948 Adults With Normal Weight From Italy / G. Bedogni, S. Bertoli, A. Leone, R.S. De Amicis, E. Lucchetti, F. Agosti, N. Marazzi, A. Battezzati, A. Sartorio. - In: CLINICAL NUTRITION. - ISSN 0261-5614. - 38:1(2019 Feb), pp. 457-464.
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Overweight; Obesity; Adults; Resting energy expenditure; Indirect calorimetry; Prediction equations
Elenco autori:
G. Bedogni, S. Bertoli, A. Leone, R.S. De Amicis, E. Lucchetti, F. Agosti, N. Marazzi, A. Battezzati, A. Sartorio
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