• Daniele Marano, Elissa de Oliveira Couto, Yasmin Notarbartolo di Villarosa do Amaral, Saint Clair Gomes Junior, Eloane Gonçalves Ramos, and Maria Elisabeth Lopes Moreira.
• Clinical Research Unit, Instituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira (IFF), Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
• Nutrition. 2023 Oct 1; 114: 112133112133.

ObjectivesThe aim of this study is to develop predictive body fat mass models, one for newborns and one for infants, using air displacement plethysmography as a reference method.MethodsThe study was carried out with 125 newborns (1-5 d of age) and 71 infants (≥3-6 mo). The stepwise method was used to estimate the final model from the predictors of sex, weight, length, triceps skinfold, waist circumference, mean arm circumference, and gestational age. The quality of the models was evaluated by the determination coefficient, variance inflation factor, and residual analysis. The paired t test and Bland-Altman plot were used to assess the agreement between observed and estimated values.ResultsThe final model for newborns was - 0.76638 + 0.2512 * weight (kg) + 0.0620 * PCT (mm) + 0.0754 * gender (R² = 70%) and the final model for infants: -2.22748 + 0.4928 * weight (kg) + 0.0737 * TSF (mm) + 0.2647 * gender (R² = 84%).ConclusionsThis work determined equations to estimate the BFM of term newborns and infants. The models can be used in clinical practice, especially in health units without access to technologies for measuring body composition, adding important information for nutritional monitoring.Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

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