Evidence map›Paper›PMID 31265484›Full record

ArticlePloS one2019

Cross-validation of prediction equations for estimating body composition in ballet dancers.

Leilane Lilian Araújo Leal, Giovanna Stefanne Lópes Barbosa, Rannapaula Lawrynhuk Urbano Ferreira, Erikarla Baracho Avelino, Adriana Nunes Bezerra, Sancha Helena de Lima Vale, Bruna Leal Lima Maciel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations.International journal of environmental research and public health · 2020
    Article
  3. 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

7 authors at 1 institution in 1 country.

Leilane Lilian Araújo LealNutrition Department, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Giovanna Stefanne Lópes BarbosaPostgraduate Nutrition Program, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Rannapaula Lawrynhuk Urbano FerreiraPostgraduate Nutrition Program, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Erikarla Baracho AvelinoPostgraduate Nutrition Program, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Adriana Nunes BezerraEndocrinology Department, Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Sancha Helena de Lima ValePostgraduate Nutrition Program, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Bruna Leal Lima MacielNutrition Department, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.ORCID 0000-0002-0724-1961
Universidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn sports related to low body weight, such as classical ballet, the assessment of body composition is important for monitoring performance and health status. This study aimed to cross-validate anthropometry and bioelectrical impedance (BIA) predictive equations for estimating body composition of non-professional classical ballet dancers, using dual-energy-X-ray absorptiometry (DXA) as a reference method. MATERIALS AND

methodsThirty-seven female non-professional classical dancers (median age of 19 years), at intermediate/advanced level, were evaluated in a cross-sectional study. Body composition was evaluated by DXA, anthropometry and tetrapolar BIA. Twenty different predictive equations of anthropometry (n = 8) and BIA (n = 12) were used to estimate Body Fat (BF) and Fat-Free Mass (FFM), testing their validity against DXA using the Bland-Altman statistics.

resultsFor BF estimated by anthropometry equations, just one equation showed agreement with DXA (r = 0.852, p < 0.0005; p = 0.600 for one sample T-test). According to the Bland-Altman analysis, this equation also showed validity, with the absence of proportional bias. Regarding the predictive BIA equations tested, none were valid for our study group.

conclusionOnly one of the anthropometric equations, the one proposed by Durnin and Womerley (1974), but none of the BIA equations analyzed, was valid for the evaluation of body composition of the studied classical dancers. Our results emphasize the importance of previous cross-validation of existing equations or the development of specific equations for body composition assessment in specific populations.

Indexed as

Absorptiometry, PhotonAdolescentAdultAnthropometryBody CompositionBody Fat DistributionCross-Sectional StudiesDancingElectric ImpedanceFemaleHumansMiddle AgedReproducibility of ResultsYoung Adult

Identifiers

PMID31265484
PMCPMC6605673
OpenAlexW2954916779

What OpenQuestion holds

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LicenceCC BY
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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.