Evidence map›Paper›PMID 35227659›Full record

Trial reportJornal de pediatria

Estimation of body fat in children with intellectual disability: development and cross-validation of a simple anthropometric method.

Fabio Bertapelli, Stamatis Agiovlasitis, Robert W Motl, Marcos M de Barros-Filho, Gil Guerra-Junior

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Jornal de pediatria. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Fabio BertapelliUniversidade de Campinas (Unicamp), Faculdade de Ciências Médicas, Campinas, SP, Brazil. Electronic address: fbertapelli@gmail.com.
Stamatis AgiovlasitisMississippi State University, Department of Kinesiology, Starkville, United States.
Robert W MotlUniversity of Alabama at Birmingham, Department of Physical Therapy, BM, United States.
Marcos M de Barros-FilhoUniversidade de Campinas (Unicamp), Faculdade de Ciências Médicas, Campinas, SP, Brazil.
Gil Guerra-JuniorUniversidade de Campinas (Unicamp), Faculdade de Ciências Médicas, Campinas, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePopulation-level monitoring of body composition requires accurate, biologically-relevant, yet feasible methods for estimating percent body fat (%BF). The aim of this study was to develop and cross-validate an equation for %BF from Body Mass Index (BMI), age, and sex among children with intellectual disability (ID). This study further aimed to examine the performance of an existing BMI-based equation (Deurenberg equation) for %BF in children with ID.

methodParticipants were 107 children (63 boys; aged 6-15 years) with ID randomly allocated to development (n = 81) and cross-validation (n = 26) samples. Dual-Energy X-Ray Absorptiometry provided the criterion %BF.

resultsThe model including BMI, age, and sex (0 = male; 1 = female) had a significant goodness-of-fit in determining %BF (p < 0.001; R

conclusionsThe developed equation with BMI, sex, and age provides valid %BF estimates for facilitating population-level body fat screening among children with ID.

Indexed as

Intellectual DisabilityAbsorptiometry, PhotonAdipose TissueAnthropometryBody CompositionBody Mass IndexChildFemaleHumansMaleBody compositionBody mass indexChildhoodDual-energy X-Ray AbsorptiometryObesityPercent body fat

Identifiers

PMID35227659
PMCPMC9510800

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.