Evidence map›Paper›PMID 36678150›Full record

ArticleNutrients2023

Methods over Materials: The Need for Sport-Specific Equations to Accurately Predict Fat Mass Using Bioimpedance Analysis or Anthropometry.

Francesco Campa, Catarina N Matias, Tatiana Moro, Giuseppe Cerullo, Andrea Casolo, Filipe J Teixeira, Antonio Paoli

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Francesco CampaDepartment of Biomedical Sciences, University of Padua, 35131 Padua, Italy.ORCID 0000-0002-3028-7802
Catarina N MatiasCIDEFES-Research Center on Sports, Physical Education, Exercise and Health, Universidade Lusófona, 1749-024 Lisboa, Portugal.
Tatiana MoroDepartment of Biomedical Sciences, University of Padua, 35131 Padua, Italy.ORCID 0000-0002-1404-1511
Giuseppe CerulloDepartment of Biomedical Sciences, University of Padua, 35131 Padua, Italy.ORCID 0000-0001-8098-2283
Andrea CasoloDepartment of Biomedical Sciences, University of Padua, 35131 Padua, Italy.
Filipe J TeixeiraInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, 1499-002 Lisboa, Portugal.
Antonio PaoliDepartment of Biomedical Sciences, University of Padua, 35131 Padua, Italy.ORCID 0000-0003-0474-4229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) and anthropometry are considered alternatives to well-established reference techniques for assessing body composition. In team sports, the percentage of fat mass (FM%) is one of the most informative parameters, and a wide range of predictive equations allow for its estimation through both BIA and anthropometry. Although it is not clear which of these two techniques is more accurate for estimating FM%, the choice of the predictive equation could be a determining factor. The present study aimed to examine the validity of BIA and anthropometry in estimating FM% with different predictive equations, using dual X-ray absorptiometry (DXA) as a reference, in a group of futsal players. A total of 67 high-level male futsal players (age 23.7 ± 5.4 years) underwent BIA, anthropometric measurements, and DXA scanning. Four generalized, four athletic, and two sport-specific predictive equations were used for estimating FM% from raw bioelectric and anthropometric parameters. DXA-derived FM% was used as a reference. BIA-based generalized equations overestimated FM% (ranging from 1.13 to 2.69%, p < 0.05), whereas anthropometry-based generalized equations underestimated FM% in the futsal players (ranging from −1.72 to −2.04%, p < 0.05). Compared to DXA, no mean bias (p > 0.05) was observed using the athletic and sport-specific equations. Sport-specific equations allowed for more accurate and precise FM% estimations than did athletic predictive equations, with no trend (ranging from r = −0.217 to 0.235, p > 0.05). Regardless of the instrument, the choice of the equation determines the validity in FM% prediction. In conclusion, BIA and anthropometry can be used interchangeably, allowing for valid FM% estimations, provided that athletic and sport-specific equations are applied.

Indexed as

Body CompositionSportsAbsorptiometry, PhotonAdolescentAdultAnthropometryElectric ImpedanceHumansMaleYoung AdultBIAbody compositionbody fatfutsalpredictive equationsskinfolds

Identifiers

PMID36678150
PMCPMC9866214

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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.