New equations to estimate resting energy expenditure in obese adults from body composition

Autor: De Lorenzo, Antonino, Di Renzo, Laura, Morini, Pietro, de Miranda, Renata Costa, Romano, Lorenzo, Colica, Carmela
Rok vydání: 2017
Předmět:
Male
0301 basic medicine
Gerontology
Endocrinology
Diabetes and Metabolism
Body composition
Obese
Body Mass Index
Cohort Studies
Absorptiometry
Photon
0302 clinical medicine
Endocrinology
Theoretical
Models
Statistics
Adults
Prediction equation
Resting energy expenditure
Adolescent
Adult
Aged
Basal Metabolism
Calorimetry
Indirect
Energy Metabolism
Female
Humans
Middle Aged
Obesity
Reproducibility of Results
Rest
Young Adult
Body Composition
Models
Theoretical
Internal Medicine
Settore MED/49 - Scienze Tecniche Dietetiche Applicate
Mathematics
Total body
General Medicine
Photon
Diabetes and Metabolism
Clinical Practice
Cohort
Bioelectrical impedance analysis
Indirect
030209 endocrinology & metabolism
Calorimetry
Fat mass
03 medical and health sciences
Absorptiometry
030109 nutrition & dietetics
Anthropometry
Zdroj: Acta diabetologica
55 (2018): 59–66. doi:10.1007/s00592-017-1061-3
info:cnr-pdr/source/autori:De Lorenzo, Antonino; Di Renzo, Laura; Morini, Pietro; de Miranda, Renata Costa; de Miranda, Renata Costa; Romano, Lorenzo; Colica, Carmela; Colica, Carmela/titolo:New equations to estimate resting energy expenditure in obese adults from body composition/doi:10.1007%2Fs00592-017-1061-3/rivista:Acta diabetologica (Print)/anno:2018/pagina_da:59/pagina_a:66/intervallo_pagine:59–66/volume:55
ISSN: 1432-5233
0940-5429
Popis: The aims of this study were: to develop new equations for predicting resting energy expenditure (REE) in obese Italian subjects according to body composition parameters; to compare them with predicted values estimated by other REE prediction equations; and to cross-validate our equations using a validation set cohort. Four hundred patients were enrolled and divided into three groups. Besides anthropometry and REE (indirect calorimetry), total body fat and lean were evaluated by dual X-ray absorptiometry, and fat mass and fat-free mass by bioelectrical impedance analysis. The subjects eligible to participate were 330. Group 1 (n = 174) was used to develop (R 2 = 0.79) and (R 2 = 0.77). Group 2 (n = 115) was used to generate (R 2 = 0.85) and (R 2 = 0.81). Group 3 (n = 41) was used to cross-validate the equations. Equations 1 and 3 are reliable to measure REE from calorimetry and better than other equations that use anthropometric variables as predictors of REE. Further analysis in different populations is required before it can be applied in clinical practice.
Databáze: OpenAIRE
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