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Validity of predictive equations developed to estimate body fat from anthropometry and bioelectrical impedance analysis in 8-10 year-old children

journal contribution
posted on 2023-05-18, 21:28 authored by Nasreddine, L, Naja, F, Andrew HillsAndrew Hills, Youssef, SK, Chahine, J, Hwalla, N

BACKGROUND & AIM: To date, no studies have examined the validity of skinfold-based (SF) equations and Bioelectrical Impedance Analysis (BIA) in predicting body fat in children of Middle-Eastern origin. The objective of this study was to examine the predictive validity of previously published SF-based equations and BIA in estimating body fat in 8-10 year-old Lebanese children, and to develop new prediction equations for use in this population group.

METHODS: 158 subjects participated in the study. Percent body fat (% BF) estimates derived from SF-based equations and BIA were compared against the deuterium dilution technique (DDL). Multivariate linear regression analyses were conducted for the development of new prediction equations to estimate � using anthropometric variables.

RESULTS: Bland-Altman analysis showed that SF-based equations and BIA significantly underestimated � as compared to DDL. Mean differences in � ranged between 1.3 and 6.5% in boys and 4.5-9.5% in girls. New anthropometry-based equations were proposed for the prediction of � in Lebanese pre-pubertal children.

CONCLUSION: Previously published prediction equations underestimated � in Lebanese pre-pubertal children. The validity of the new prediction equations developed in this study to estimate � in Lebanese children needs to be investigated in future studies.

History

Publication title

Clinical nutrition

Volume

31

Pagination

364-71

ISSN

0261-5614

Department/School

School of Health Sciences

Publisher

Churchill Livingstone

Place of publication

Journal Production Dept, Robert Stevenson House, 1-3 Baxters Place, Leith Walk, Edinburgh, Scotland, Midlothian, Eh1 3Af

Repository Status

  • Restricted

Socio-economic Objectives

Neonatal and child health

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