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Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants.
Rodríguez-Cano, Ameyalli M; Piña-Ramírez, Omar; Rodríguez-Hernández, Carolina; Mier-Cabrera, Jennifer; Villalobos-Alcazar, Gicela; Estrada-Gutierrez, Guadalupe; Cardona-Pérez, Arturo; Coronado-Zarco, Alejandra; Perichart-Perera, Otilia.
Afiliação
  • Rodríguez-Cano AM; Nutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Piña-Ramírez O; Bioinformatics and Statistical Analysis Department, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Rodríguez-Hernández C; Nutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Mier-Cabrera J; Nutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Villalobos-Alcazar G; Neonatal Ward, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Estrada-Gutierrez G; Research Division, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Cardona-Pérez A; General Director, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Coronado-Zarco A; Neonatology Division, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México.
  • Perichart-Perera O; Nutrition and Bioprogramming Coordination, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, CP 11000, Ciudad de México, México. otiliaperichart@inper.gob.mx.
Eur J Clin Nutr ; 77(7): 748-756, 2023 07.
Article em En | MEDLINE | ID: mdl-37055482
BACKGROUND/OBJECTIVES: Fat-mass (FM) assessment since birth using valid methodologies is crucial since excessive adiposity represents a risk factor for adverse metabolic outcomes. AIM: To develop infant FM prediction equations using anthropometry and validate them against air-displacement plethysmography (ADP). SUBJECTS/METHODS: Clinical, anthropometric (weight, length, body-mass index -BMI-, circumferences, and skinfolds), and FM (ADP) data were collected from healthy-term infants at 1 (n = 133), 3 (n = 105), and 6 (n = 101) months enrolled in the OBESO perinatal cohort (Mexico City). FM prediction models were developed in 3 steps: 1) Variable Selection (LASSO regression), 2) Model behavior evaluation (12-fold cross-validation, using Theil-Sen regressions), and 3) Final model evaluation (Bland-Altman plots, Deming regression). RESULTS: Relevant variables in the FM prediction models included BMI, circumferences (waist, thigh, and calf), and skinfolds (waist, triceps, subscapular, thigh, and calf). The R2 of each model was 1 M: 0.54, 3 M: 0.69, 6 M: 0.63. Predicted FM showed high correlation values (r ≥ 0.73, p < 0.001) with FM measured with ADP. There were no significant differences between predicted vs measured FM (1 M: 0.62 vs 0.6; 3 M: 1.2 vs 1.35; 6 M: 1.65 vs 1.76 kg; p > 0.05). Bias were: 1 M -0.021 (95%CI: -0.050 to 0.008), 3 M: 0.014 (95%CI: 0.090-0.195), 6 M: 0.108 (95%CI: 0.046-0.169). CONCLUSION: Anthropometry-based prediction equations are inexpensive and represent a more accessible method to estimate body composition. The proposed equations are useful for evaluating FM in Mexican infants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pletismografia / Composição Corporal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy País/Região como assunto: Mexico Idioma: En Revista: Eur J Clin Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pletismografia / Composição Corporal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy País/Região como assunto: Mexico Idioma: En Revista: Eur J Clin Nutr Assunto da revista: CIENCIAS DA NUTRICAO Ano de publicação: 2023 Tipo de documento: Article País de publicação: Reino Unido