Estimating resting energy expenditure from dual‐energy X‐ray absorptiometry: A cross‐sectional study in healthy young adults
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa Lisboa Portugal, CIBIO-InBIO, Research Center in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal., Centre for Sport, Exercise and Life Sciences Coventry University Coventry UK, Faculty of Medicine of Ribeirão Preto Ribeirão Preto Brazil, Department of Sociology at the University of São Paulo, USP, Brazil,, Study Group and Research in Anthropometry, Exercise and Sport (GEPEATE) São Paulo Brazil |
| ANO | Não informado |
| TIPO | Artigo |
| DOI | 10.1002/ajhb.23466 |
| ADICIONADO EM | 2025-08-18 |
Resumo
ObjectiveTo qualify a 3C approach model of dual‐energy X‐ray absorptiometry (DXA) to estimate multicomponent resting energy expenditure (REE) referenced by indirect calorimetry (IC).MethodsA sample of 155 college students, of both sexes (18‐30 years old) was evaluated. Anthropometric measures, REE by IC, and whole‐body DXA‐scans were performed. The REE for each body component was determined after transforming the components from the molecular (DXA) to the organ tissue level. Bland‐Altman and proportional bias analyses were used to verify agreement between REE measured (REEIC) and estimated (REEDXA).ResultsStatistically significant differences were found for all sex comparisons (P .05). Men also presented greater expenditure (P < .001) in each component, except for adipose tissue. The plots confirmed the validity of the model for both sexes, with low difference values between the measured and estimated REE. The mean of the differences of REEIC and REEDXA showed heteroscedasticity of the data for men (P = .004). The same error tendency was not evident for women (P = .333).ConclusionsThis 3C model, estimating REE from a multicomponent approach, allows a new application of DXA as tool for understanding intraindividual differences in terms of the mass of metabolically active tissue. Sex and populational differences should be taken in account. Consequently, we present qualified sex‐specific DXA models that can be applied in different contexts such as health and sports, besides considering interpersonal differences in terms of energy expenditure.