Evidence map›Paper›PMID 40947581›Full record

ArticleDiabetes, obesity & metabolism2025

Validation of anthropometric and bioelectrical impedance equations for the prediction of fat mass amongst South African children.

M T Hudda, E van Niekerk, C M Sedumedi, L Moeng-Mahlangu, P H Whincup, J J Reilly, H S Kruger, M A Monyeki

Abstract readValidation Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

M T HuddaDepartment of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0001-7894-1159
E van NiekerkPhysical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.
C M SedumediPhysical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.
L Moeng-MahlanguPhysical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.
P H WhincupPopulation Health Research Institute, St George's School of Health & Medical Sciences, City St. George's University of London, London, UK.
J J ReillyPhysical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland.
H S KrugerCentre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa.
M A MonyekiPhysical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.

Funding

International Atomic Energy Agency SAF6020National Research FoundationPfizer Global Obesity ASPIRE Ref: 91629725South African Medical Research Council
6 · The paper itself

Abstract

BACKGROUND/

aimsWhile several prediction equations which combine anthropometric, demographic, and/or bioelectrical impedance (BIA) variables to estimate childhood fat mass (FM) are available, comprehensive comparisons of their performance are lacking. We validated FM estimates for children from a range of published equations against reference-standard deuterium dilution observed FM.

methodsThis cross-sectional study was based on 323 children (42% male) from South Africa of Black African ethnic origins aged 5 to 8 years with information on age, sex, ethnicity, height, weight, deuterium dilution observed FM, triceps and subscapular skinfold thickness, and BIA observed FM, resistance, and impedance. We extracted all equations from three systematic reviews of childhood FM prediction equations that used the above available predictors and were developed on more than 100 males and females. FM estimates from each equation were calculated and the performance of each, as well as FM reported from the BIA manufacturer software, was compared with deuterium dilution observed FM using statistics of R

resultsNineteen equations (1 based on basic anthropometry, 12 on skinfold thickness, 6 on BIA) were validated. R

conclusionsThe performance of published equations varied considerably upon external validation in this South African childhood population. Notably, the Hudda et al. (2019) equation, which relies solely on readily available information of weight, height, sex, age and ethnicity, produced one of the highest R

Indexed as

Adipose TissueAdiposityAnthropometryBody CompositionElectric ImpedancePediatric ObesityBlack PeopleChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleReproducibility of ResultsSkinfold ThicknessSouth Africameta‐analysisobesity careobservational studypopulation study

Identifiers

PMID40947581
PMCPMC12587244

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.