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Anthropometry-based prediction of body composition in early infancy compared to air-displacement plethysmography.

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van Beijsterveldt, Inge ALP  ORCID logo
Hughes, Ieuan A 
Dunger, David B 
Ong, Ken K 


BACKGROUND: Anthropometry-based equations are commonly used to estimate infant body composition. However, existing equations were designed for newborns or adolescents. We aimed to (a) derive new prediction equations in infancy against air-displacement plethysmography (ADP-PEA Pod) as the criterion, (b) validate the newly developed equations in an independent infant cohort and (c) compare them with published equations (Slaughter-1988, Aris-2013, Catalano-1995). METHODS: Cambridge Baby Growth Study (CBGS), UK, had anthropometry data at 6 weeks (N = 55) and 3 months (N = 64), including skinfold thicknesses (SFT) at four sites (triceps, subscapular, quadriceps and flank) and ADP-derived total body fat mass (FM) and fat-free mass (FFM). Prediction equations for FM and FFM were developed in CBGS using linear regression models and were validated in Sophia Pluto cohort, the Netherlands, (N = 571 and N = 447 aged 3 and 6 months, respectively) using Bland-Altman analyses to assess bias and 95% limits of agreement (LOA). RESULTS: CBGS equations consisted of sex, age, weight, length and SFT from three sites and explained 65% of the variance in FM and 79% in FFM. In Sophia Pluto, these equations showed smaller mean bias than the three published equations in estimating FM: mean bias (LOA) 0.008 (-0.489, 0.505) kg at 3 months and 0.084 (-0.545, 0.713) kg at 6 months. Mean bias in estimating FFM was 0.099 (-0.394, 0.592) kg at 3 months and -0.021 (-0.663, 0.621) kg at 6 months. CONCLUSIONS: CBGS prediction equations for infant FM and FFM showed better validity in an independent cohort at ages 3 and 6 months than existing equations.



Adolescent, Animals, Anthropometry, Body Composition, Humans, Infant, Infant, Newborn, Netherlands, Plethysmography, Skinfold Thickness

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Pediatr Obes

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MRC (MC_UU_00006/2)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Medical Research Council (MC_UU_12015/2)
Biotechnology and Biological Sciences Research Council (BB/P028195/1)
National Institute for Health and Care Research (IS-BRC-1215-20014)
Biotechnology and Biological Sciences Research Council (BB/M027252/2)
Biotechnology and Biological Sciences Research Council (BB/M027252/1)
This work was supported by the EU Commission to the JPI HDHL program ‘Call III Biomarkers’ for the project: BioFN - Biomarkers for Infant Fat Mass Development and Nutrition (Grant agreement No 696295), administrated in the Netherlands by the Netherlands Organisation for Health Research and Development (ZonMW) (grant number 529051013) and UK by the Biotechnology and Biological Sciences Research Council (BB/P028195/1). This study was also supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (IS-BRC-1215-20014). KKO is supported by Medical Research Council Epidemiology Unit (MC_UU_12015/2 and MC_UU_00006/2). The Sophia Pluto study is an investigator-initiated cohort study, for which A.C.S.H.K. received an independent research grant by Danone Nutricia Research.