Evidence map›Paper›PMID 17622262›Full record

ArticleEuropean journal of clinical nutrition2008

Use of bioelectrical impedance analysis to assess body composition in rural Gambian children.

M Prins, S Hawkesworth, A Wright, A J C Fulford, L M A Jarjou, A M Prentice, S E Moore

Open access · greenAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of clinical nutrition, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

25 citing papers in PubMed, 60 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

M PrinsWageningen University and Research Centre, Wageningen, The Netherlands.
S Hawkesworth
A Wright
A J C Fulford
L M A Jarjou
A M Prentice
S E Moore
MRC Unit the Gambia · GMLondon School of Hygiene & Tropical Medicine · GBMRC Human Nutrition Research · GBWageningen University & Research · NL

Funding

Medical Research Council MC_U105960371
6 · The paper itself

Abstract

objectiveTo validate the Tanita BC-418MA Segmental Body Composition Analyser and four-site skinfold measurements for the prediction of total body water (TBW), percentage fat-free mass (%FFM) and percentage body fat (%BF) in a population of rural Gambian children. SUBJECTS/

methodsOne hundred and thirty-three healthy Gambian children (65 males and 68 females). FFM estimated by the inbuilt equations supplied with the Tanita system was assessed by comparison with deuterium oxide dilution and novel prediction equations were produced. Deuterium oxide dilution was also used to develop equations for %BF based on four-site skinfolds (biceps, triceps, subscapular and suprailiac).

resultsThe inbuilt equations underestimated FFM compared to deuterium oxide dilution in all the sex and age categories (P<0.003), with greater accuracy in younger children and in males. The best prediction of %FFM was obtained from the variables height, weight, sex, impedance, age and four skinfold thickness measurements (adjusted R(2)=0.84, root mean square error (MSE)=2.07%).

conclusionsThese data suggest that the Tanita instrument may be a reliable field assessment technique in African children, when using population and gender-specific equations to convert impedance measurements into estimates of FFM.

Indexed as

Body CompositionElectric ImpedanceAdolescentAlgorithmsBody SizeChildChild, PreschoolDeuterium OxideDeveloping CountriesFemaleGambiaHumansMaleRural PopulationSkinfold ThicknessDeuterium Oxide

Identifiers

PMID17622262
OpenAlexW1967142864

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.