Which anthropometric measures best reflect neonatal adiposity?

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Which anthropometric measures best reflect neonatal adiposity?
Title:
Which anthropometric measures best reflect neonatal adiposity?
Journal Title:
International Journal of Obesity
Keywords:
Publication Date:
09 October 2017
Citation:
Chen, L., Tint, M., Fortier, M. et al. Which anthropometric measures best reflect neonatal adiposity?. Int J Obes 42, 501–506 (2018). https://doi.org/10.1038/ijo.2017.250
Abstract:
Background: Studying the determinants and the long-term consequences of fetal adipose accretion requires accurate assessment of neonatal body composition. In large epidemiological studies, in-depth body composition measurement methods are usually not feasible for cost and logistical reasons, and there is a need to identify anthropometric measures that adequately reflect neonatal adiposity. Methods: In a multiethnic Asian mother–offspring cohort in Singapore, anthropometric measures (weight, length, abdominal circumference, skinfold thicknesses) were measured using standardized protocols in newborn infants, and anthropometric indices (weight/length, weight/length2 (body mass index, BMI), weight/length3 (ponderal index, PI)) derived. Neonatal total adiposity was measured using air displacement plethysmography (ADP) and abdominal adiposity using magnetic resonance imaging (MRI). Correlations of the anthropometric measures with ADP- and MRI-based adiposity were assessed using Pearson’s correlation coefficients (rp), including in subsamples stratified by sex and ethnicity. Results: Study neonates (n=251) had a mean (s.d.) age of 10.2 (2.5) days. Correlations between ADP-based fat mass (ADPFM) and anthropometric measures were moderate (rp range: 0.44–0.67), with the strongest being with weight/length, weight, BMI and sum of skinfolds (rp=0.67, 0.66, 0.62, 0.62, respectively, all P
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PublisherCopyrights
Funding Info:
This research is supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health’s National Medical Research Council (NMRC), Singapore-NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014. Additional funding is provided by the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore. Study sponsors were not involved in the design of the study, statistical analysis and results interpretation. KMG is supported by the National Institute for Health Research through the NIHR Southampton Biomedical Research Centre and by the European Union's Seventh Framework Programme (FP7/2007-2013), projects EarlyNutrition and ODIN (Food-Based Solutions for Optimal Vitamin D Nutrition and Health through the Life Cycle) under grant agreements nos 289346 and 613977.
Description:
The author manuscript is available freely at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862425/
ISSN:
0307-0565
1476-5497
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