Evidence map›Paper›PMID 37524804›Full record

ArticleEuropean journal of clinical nutrition2024

Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy.

Jaz Lyons-Reid, Leigh C Ward, José G B Derraik, Mya Thway-Tint, Cathriona R Monnard, J Manuel Ramos Nieves, Benjamin B Albert, Timothy Kenealy, Keith M Godfrey, Shiao-Yng Chan and 1 more

Abstract readValidation Study
In one paragraph

Article in European journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jaz Lyons-ReidLiggins Institute, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-4650-1671
Leigh C WardSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-2378-279X
José G B DerraikLiggins Institute, University of Auckland, Auckland, New Zealand.
Mya Thway-TintSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.ORCID http://orcid.org/0000-0002-9548-7186
Cathriona R MonnardNestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland.
J Manuel Ramos NievesNestlé Institute of Health Sciences, Nestlé Research, Société des Produits Nestlé S.A., Lausanne, Switzerland.
Benjamin B AlbertLiggins Institute, University of Auckland, Auckland, New Zealand.
Timothy KenealyLiggins Institute, University of Auckland, Auckland, New Zealand.
Keith M GodfreyMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-4643-0618
Shiao-Yng ChanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Wayne S CutfieldLiggins Institute, University of Auckland, Auckland, New Zealand. w.cutfield@auckland.ac.nz.ORCID http://orcid.org/0000-0001-6107-3682

Funding

British Heart Foundation (BHF) RG/15/17/3174DH | National Institute for Health Research (NIHR) IS-BRC-1215-20004DH | National Institute for Health Research (NIHR) NF-SI-0515-10042EC | Erasmus+ 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JPMOH | National Medical Research Council (NMRC) MOH-CSAINV19nov-0002MOH | National Medical Research Council (NMRC) NMRC/CSA-INV/0010/2016
6 · The paper itself

Abstract

backgroundBioimpedance devices are practical for measuring body composition in preschool children, but their application is limited by the lack of validated equations.

objectivesTo develop and validate fat-free mass (FFM) bioimpedance prediction equations among New Zealand 3.5-year olds, with dual-energy X-ray absorptiometry (DXA) as the reference method.

methodsBioelectrical impedance spectroscopy (SFB7, ImpediMed) and DXA (iDXA, GE Lunar) measurements were conducted on 65 children. An equation incorporating weight, sex, ethnicity, and impedance was developed and validated. Performance was compared with published equations and mixture theory prediction.

resultsThe equation developed in ~70% (n = 45) of the population (FFM [kg] = 1.39 + 0.30 weight [kg] + 0.39 length

conclusionsWe developed and validated a bioimpedance equation that can accurately predict FFM. Further external validation of the equation is required.

Indexed as

Absorptiometry, PhotonBody CompositionElectric ImpedanceBody WeightChild, PreschoolDielectric SpectroscopyFemaleHumansMaleNew ZealandReproducibility of Results

Identifiers

PMID37524804
PMCPMC7616480

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Registered trials

None linked

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.