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Updated: Aug 6, 2025
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Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
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Predictive models of newborn body composition: a systematic review
Elissa de Oliveira Couto1, Daniele Marano1, Yasmin Notarbartolo di Villarosa do Amaral2
1Instituto Nacional da Saúde da Mulher, da Criança e do Adolescente Fernandes Ferreira, Rio de Janeiro, RJ, Brazil.
Summary
Neonatal body composition prediction models were reviewed. Subscapular skinfold measurements showed promise for predicting infant body fat, though more validation is needed for clinical application.
Area of Science:
- Pediatric Nutrition
- Body Composition Analysis
- Biostatistics
Background:
- Accurate assessment of neonatal body composition is crucial for monitoring growth and health.
- Existing prediction models for fat-free mass and fat mass in neonates require rigorous evaluation.
- Air displacement plethysmography serves as a reference standard for body composition assessment.
Conclusions:
- Methodological heterogeneity exists among studies predicting neonatal body composition.
- The subscapular skinfold measurement emerged as a strong predictor of neonatal body fat in multiple models.
- Future research should focus on validating these prediction models for broader population application and developing low-cost tools for nutritional monitoring.
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