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Anthropometry-based prediction of body fat in infants from birth to 6 months: the Baby-bod study

Jayasinghe, S ORCID: 0000-0001-8805-385X, Herath, MP, Beckett, JM ORCID: 0000-0002-2911-0313, Ahuja, KDK ORCID: 0000-0002-0323-4692, Byrne, NM ORCID: 0000-0001-5310-6640 and Hills, AP ORCID: 0000-0002-7787-7201 2020 , 'Anthropometry-based prediction of body fat in infants from birth to 6 months: the Baby-bod study' , European Journal of Clinical Nutrition , doi: 10.1038/s41430-020-00768-3.

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Abstract

Background/objectives: Prediction equations generated from anthropometric measures are frequently used to quantifypaediatric body composition. We tested the agreeability and predictive power of select (Lingwood and Aris) fat massprediction equations against body fat measured via ADP; and generated and evaluated new anthropometry-based models foruse in the first 6 months of life.Subjects/methods: Data were obtained from 278 white European Australian infants at birth, 3 and 6 months. Predictionmodels (i.e. Baby-bod models) were generated for each time point via stepwise linear regression and compared foragreeability with ADP via limits of agreement, mean difference and total bias in Bland–Altman analyses. Predictive powerof all equations in comparison to ADP were assessed using linear regression analysis.Results: Overall, there was poor agreeability between percent body fat predicted via published equations and ADP. Proportional bias was detected for both methods (i.e. published equations and Baby-bod models) of body fat prediction. Atbirth, both Lingwood and BB0 equations overestimated percent body fat at the lower end of the FM spectrum. This trendwas repeated at 3 months with all equations displaying a propensity to overestimate body fat at lower FM levels andunderestimate at higher FM levels.Conclusions: The results indicate that anthropometry, although less costly and relatively easier to implement, does not alwaysproduce comparable results with objective measures such as ADP. Given the importance of the accurate assessment ofphysical growth, including body composition in early life, it is timely to recommend the increased utilisation of techniquessuch as ADP.

Item Type: Article
Authors/Creators:Jayasinghe, S and Herath, MP and Beckett, JM and Ahuja, KDK and Byrne, NM and Hills, AP
Keywords: air displacement plethysmography, infant body composition, anthropometry, body fat prediction
Journal or Publication Title: European Journal of Clinical Nutrition
Publisher: Nature Publishing Group
ISSN: 0954-3007
DOI / ID Number: 10.1038/s41430-020-00768-3
Copyright Information:

Copyright 2020 The Author(s), under exclusive licence to Springer Nature Limited

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