Which anthropometric measure best correlates with neonatal fat mass at birth?

Gal Dubnov-Raz 1 Moran Gal 1 Yeela Landau-Helman 2 Lihi Biderman 2 Romy Nir 2 Ayala Maayan-Metzger 3
1Exercise, Nutrition and Lifestyle Clinic, The Edmond and Lily Safra Children's Hospital, Sheba Medical Center
2School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem
3Dept. of Neonatology, The Edmond and Lily Safra Children's Hospital, Sheba Medical Center

Background: Body composition provides additional information than weight alone. There is currently no accepted anthropometric measure of adiposity in infants, yet weight and length data allow calculations of a wide array of indices. The study aim was to identify the anthropometric index which best correlates with neonatal adiposity, by examining the associations between neonatal fat mass and several anthropometric indices of newborn infants.

Methods: The sum of skinfolds (SSF), birth weight and birth length were measured in 94 healthy infants (58% males) born at term to healthy mothers. Several anthropometric indices were calculated, and their relationship with SSF was assessed using linear regression adjusting for gestational age and sex.

Results: SSF at birth was significantly higher in females compared with males (20.7±3.3 mm vs 18.8±4.1 mm, p=0.019). Birth weight, birth weight-for-gestational-age percentile, birth weight percentile, and weight/length ratio had the highest associations with SSF, yet R2 values were very low, ranging 16-18%. Body mass index (BMI), BMI percentile, ponderal index and the symmetry index had even lower associations.

Conclusion: No anthropometric measure can confidently assess fat mass in infants at birth, in accordance with previous research. When body composition data are needed, they should be directly measured.

This study was funded by the Materna Research Institute









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