Evidence map›Paper›PMID 38102652›Full record

ArticleJournal of translational medicine2023

Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models.

Francesco Campa, Tindaro Bongiovanni, Alessio Rossi, Giuseppe Cerullo, Andrea Casolo, Giulia Martera, Athos Trecroci, Tatiana Moro, Antonio Paoli

Registry-linked trialAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06974006 (Integrated Monitoring for Independent Living in Rural Settings), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT06974006 recruitingnot on this mapstarted 2025, after this paper: background citation

Integrated Monitoring for Independent Living in Rural Settings

TypeobservationalSponsorEuropean University Miguel de CervantesRan2025 to 2027Enrolled82ConditionsAged 60 Years or OlderArmsDevices: Kardia Mobile 6L, Omron M7 BP, Beurer PO30, Datospir Peak-10, NUTRILAB BIA 101 BIVA® PRO
3 · Its place in the literature

Who cites it

7 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

9 authors.

Francesco CampaDepartment of Biomedical Sciences, University of Padua, 35131, Padua, Italy.
Tindaro BongiovanniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Alessio RossiComputer Science, University of Pisa, Pisa, Italy and National Research Council (CNR), Institute of Information Science and Technologies (ISTI), Pisa, Italy.
Giuseppe CerulloDepartment of Biomedical Sciences, University of Padua, 35131, Padua, Italy.
Andrea CasoloDepartment of Biomedical Sciences, University of Padua, 35131, Padua, Italy. andrea.casolo@unipd.it.ORCID 0000-0002-1901-3894
Giulia MarteraDepartment of Performance Nutrition, Spezia Calcio, La Spezia, Italy.
Athos TrecrociDepartment of Biomedical Science for Health, University of Milan, Milan, Italy.
Tatiana MoroDepartment of Biomedical Sciences, University of Padua, 35131, Padua, Italy.
Antonio PaoliDepartment of Biomedical Sciences, University of Padua, 35131, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioelectrical impedance analysis (BIA) is a rapid and user-friendly technique for assessing body composition in sports. Currently, no sport-specific predictive equations are available, and the utilization of generalized formulas can introduce systematic bias. The objectives of this study were as follows: (i) to develop and validate new predictive models for estimating fat-free mass (FFM) components in male elite soccer players; (ii) to evaluate the accuracy of existing predictive equations.

methodsA total of 102 male elite soccer players (mean age 24.7 ± 5.7 years), participating in the Italian first league, underwent assessments during the first half of the in-season period and were randomly divided into development and validation groups. Bioelectrical resistance (R) and reactance (Xc), representing the bioimpedance components, were measured using a foot-to-hand BIA device at a single frequency of 50 kHz. Dual-energy X-ray absorptiometry was employed to acquire reference data for FFM, lean soft tissue (LST), and appendicular lean soft tissue (ALST). The validation of the newly developed predictive equations was conducted through regression analysis, Bland-Altman tests, and the area under the curves (AUC) of regression receiver operating characteristic (RROC) curves.

resultsDeveloped models were: FFM = - 7.729 + (body mass × 0.686) + (stature

conclusionsThe utilization of generalized predictive equations leads to an underestimation of FFM and ALST in elite soccer players. The newly developed soccer-specific formulas enable valid estimations of body composition while preserving the portability of a field-based method.

Indexed as

SoccerAbsorptiometry, PhotonAdultBody CompositionElectric ImpedanceHumansMaleRegression AnalysisReproducibility of ResultsYoung AdultBIABioelectric impedance analysisBIVABody compositionLean soft tissueSomatotype

Identifiers

PMID38102652
PMCPMC10722788

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