Evidence map›Paper›PMID 35457361›Full record

ArticleInternational journal of environmental research and public health2022

Concordance between Laboratory and Field Methods for the Assessment of Body Fat in Olympic Combat Athletes: Analysis of the Influence of Adiposity.

María Fernandez-Del-Valle, Hugo Olmedillas, Nieves Palacios Gil de Antuñano, Ana María Ribas, Pablo Martínez-Camblor, Ángela García-Gonzalez, Natalia Úbeda, Eduardo Iglesias-Gutiérrez

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

María Fernandez-Del-ValleDepartment of Functional Biology, University of Oviedo, 33006 Oviedo, Spain.ORCID 0000-0003-1421-5099
Hugo OlmedillasDepartment of Functional Biology, University of Oviedo, 33006 Oviedo, Spain.ORCID 0000-0003-4625-2759
Nieves Palacios Gil de AntuñanoSports Medicine Center, Higher Council for Sports, 28040 Madrid, Spain.
Ana María RibasSports Medicine Center, Higher Council for Sports, 28040 Madrid, Spain.
Pablo Martínez-CamblorDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA.ORCID 0000-0001-7845-3905
Ángela García-GonzalezDepartment of Pharmaceutical and Food Sciences, CEU San Pablo University, 28668 Boadilla del Monte, Spain.ORCID 0000-0002-6130-6252
Natalia ÚbedaDepartment of Pharmaceutical and Food Sciences, CEU San Pablo University, 28668 Boadilla del Monte, Spain.ORCID 0000-0002-8866-0745
Eduardo Iglesias-GutiérrezDepartment of Functional Biology, University of Oviedo, 33006 Oviedo, Spain.ORCID 0000-0002-3063-1562
Universidad de Oviedo · ESUniversidad San Pablo CEU · ESDartmouth College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combat sports athletes competing in the same discipline exhibit notable and substantial differences in body weight, body composition (BC) and adiposity. No studies have considered the influence of adiposity levels in the agreement between different BC assessment methods. The aim of this study was to analyze the influence of adiposity in the agreement between different methods used to estimate relative body fat (%BF) in Olympic combat sport athletes. A total of 38 male athletes were evaluated using air displacement plethysmography and dual-energy X-ray absorptiometry (DXA) as laboratory methods, and bioelectrical impedance analysis (BIA), near-infrared interactance (NIR) and anthropometry as field methods. All methods were compared to DXA. Agreement analyses were performed by means of individual intraclass correlation coefficients (ICCs) for each method compared to DXA, Bland−Altman plots and paired Student t-tests. The ICCs for the different methods compared to DXA were analyzed, considering tertiles of %BF, tertiles of body weight and type of sport. For the whole group, individual ICCs oscillated between 0.806 for BIA and 0.942 for anthropometry. BIA showed a statistically significant underestimation of %BF when compared to DXA. The agreement between every method and DXA was not affected by %BF, but it was highest in athletes at the highest %BF tertile (>13%). The ICC between NIR and DXA was poor in 72−82 kg athletes. Our results indicate that field methods are useful for routine %BF analysis, and that anthropometry is particularly appropriate, as it showed the highest accuracy irrespective of the athletes’ adiposity.

Indexed as

Adipose TissueAdiposityAbsorptiometry, PhotonBody CompositionBody WeightElectric ImpedanceFemaleHumansMaleObesityadipositybody compositionelite athletesmethods agreementOlympic combat sports

Identifiers

PMID35457361
PMCPMC9032486
OpenAlexW4224291547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.