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Updated: Jul 1, 2026

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
Published on: June 7, 2024
Upper arm anthropometry is not a valid predictor of regional body composition in preterm infants
L Pereira-da-Silva1, F Abecasis, D Virella
1Neonatal Intensive Care Unit, Hospital de Dona Estefânia, Lisbon, Portugal. l.pereira.silva@netcabo.pt
Insights
Upper arm measurements do not accurately predict body composition in preterm infants. This study found anthropometry unreliable for assessing arm fat and fat-free mass in this vulnerable population.
Area of Science:
- Neonatal nutrition and body composition assessment.
- Pediatric anthropometry and its limitations.
Background:
- Upper arm anthropometry is used for infant nutritional assessment.
- Its predictive value for regional body composition in preterm infants remains unvalidated.
Purpose of the Study:
- To validate measured and derived upper arm anthropometry.
- To assess its predictive accuracy for arm fat and fat-free compartments in preterm infants.
Main Methods:
- Compared upper arm anthropometry with magnetic resonance imaging (MRI) measurements.
- Included cross-sectional arm areas in preterm neonates.
- Assessed infants before discharge.
Main Results:
- No anthropometric measurements reliably predicted MRI-derived body composition (r² < 0.56).
- Individual and combined anthropometric measurements showed poor predictive value.
- This includes upper arm cross-sectional areas.
Conclusions:
- Measured and derived upper arm anthropometry are inaccurate predictors.
- Body composition assessment in preterm infants requires more reliable methods.
- Current anthropometric methods lack precision for this population.
Background:
Upper arm anthropometry has been used in the nutritional assessment of small infants, but it has not yet been validated as a predictor of regional body composition in this population.
Objective:
Validation of measured and derived upper arm anthropometry as a predictor of arm fat and fat-free compartments in preterm infants.
Methods:
Upper arm anthropometry, including the upper arm cross-sectional areas, was compared individually or in combination with other anthropometric measurements, with the cross-sectional arm areas measured by magnetic resonance imaging, in a cohort of consecutive preterm appropriate-for-gestational-age neonates, just before discharge.
Results:
Thirty infants born with (mean +/- SD) a gestational age of 30.7 +/- 1.9 weeks and birth weight of 1,380 +/- 325 g, were assessed at 35.4 +/- 1.1 weeks of corrected gestational age, weighing 1,785 +/- 93 g. None of the anthropometric measurements are reliable predictors (r(2) < 0.56) of the measurements obtained by magnetic resonance imaging, individually or in combination with other anthropometric measurements.
Conclusion:
Both measured anthropometry and derived upper arm anthropometry are inaccurate predictors of regional body composition in preterm appropriate-for-gestational-age infants.
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