Evidence mapPaperPMID 41537676Full record

ArticleJournal of paediatrics and child health2026

Fat-Free Mass Predictions From Anthropometrics in South African Prepubertal Children.

Zelda White, Lauren M Walsh, Adeline Pretorius, Friede A M Wenhold

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Article in Journal of paediatrics and child health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zelda WhiteDepartment Human Nutrition, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-3428-1838
Lauren M WalshDepartment Human Nutrition, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Adeline PretoriusDepartment of Consumer and Food Sciences, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-9761-0694
Friede A M WenholdDepartment Human Nutrition, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Funding

Institute of Food, Nutrition and Wellbeing (IFNuW)SOUTH AFRICAN SUGAR ASSOCIATION EA/055/19WG/AV
6 · The paper itself

Abstract

backgroundSouth African children face a double burden of malnutrition from undernutrition and rising obesity. Simple, accurate methods to estimate fat-free mass, a key health indicator, are needed, as bioelectrical impedance analysis is limited by cost, availability and lack of local validation.

objectivesTo develop and validate prediction equations for fat-free mass using simple anthropometric measurements in children aged 6-9 years.

methodsIn this cross-sectional study, anthropometric and bioelectrical impedance data were obtained from 117 children. Bioelectrical impedance-derived fat-free mass was used as reference in multivariable regression models. Four equations were externally validated in 75 Black prepubertal children, using dual-energy X-ray absorptiometry-derived fat-free mass as standard. Relationships, mean differences, and agreement were assessed using Pearson's correlation, independent t-tests and Bland-Altman plots, respectively.

resultsFourteen prediction equations, containing five to nine variables, were developed (R

conclusionFat-free mass of prepubertal children can be predicted using simple anthropometric measurements, allowing assessment of body composition in low-resource settings.

Indexed as

AnthropometryBody CompositionElectric ImpedanceAbsorptiometry, PhotonChildCross-Sectional StudiesFemaleHumansMaleSouth AfricaSouthern African Peopleanthropometrybioelectrical impedance analysisbody compositionchildrendual energy X‐ray absorptiometryfat‐free mass

Identifiers

PMID41537676
PMCPMC12976190

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