Evidence map›Paper›PMID 35453705›Full record

ArticleBiology2022

Bioelectrical Impedance Vector Analysis Discriminates Aerobic Power in Futsal Players: The Role of Body Composition.

Catarina N Matias, Francesco Campa, Giuseppe Cerullo, Giuseppe D'Antona, Rita Giro, João Faleiro, Joana F Reis, Cristina P Monteiro, Maria J Valamatos, Filipe J Teixeira

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.9field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Catarina N MatiasBettery Life Lab, Innovation Direction, Bettery S.A., 2740-262 Lisboa, Portugal.
Francesco CampaDepartment for Life Quality Studies, University of Bologna, 47921 Rimini, Italy.
Giuseppe CerulloDepartment of Movement Sciences and Wellbeing, University of Naples Parthenope, 80133 Naples, Italy.ORCID 0000-0001-8098-2283
Giuseppe D'AntonaCentro di Ricerca Interdipartimentale nelle Attività Motorie e Sportive (CRIAMS)-Sport Medicine Centre, University of Pavia, 27058 Voghera, Italy.ORCID 0000-0002-0683-5565
Rita GiroBettery Life Lab, Innovation Direction, Bettery S.A., 2740-262 Lisboa, Portugal.ORCID 0000-0003-2580-7479
João FaleiroBettery Life Lab, Innovation Direction, Bettery S.A., 2740-262 Lisboa, Portugal.
Joana F ReisInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1495-761 Cruz-Quebrada, Portugal.ORCID 0000-0003-2906-3665
Cristina P MonteiroInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1495-761 Cruz-Quebrada, Portugal.ORCID 0000-0003-2036-7988
Maria J ValamatosInterdisciplinary Center for the Study of Human Performance (CIPER), Faculdade de Motricidade Humana, Universidade de Lisboa, 1495-761 Cruz-Quebrada, Portugal.ORCID 0000-0002-0983-1973
Filipe J TeixeiraBettery Life Lab, Innovation Direction, Bettery S.A., 2740-262 Lisboa, Portugal.ORCID 0000-0003-4840-0591
University of Lisbon · PTParthenope University of Naples · ITUniversidade Lusófona · PTUniversity of Bologna · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The present study aimed to assess the ability of bioelectrical impedance vector analysis (BIVA) in discriminating fitness levels in futsal players, exploring the association of body composition and bioelectrical parameters with aerobic power. Methods: Forty-eight professional futsal players (age 23.8 ± 5.3 years) were involved in a cross-sectional study during their pre-season phase. Fat mass (FM) and muscle mass were determined by dual-energy X-ray absorptiometry. VO2max was obtained by indirect calorimetry through a graded exercise test performed on a treadmill. Bioelectrical resistance (R), reactance (Xc), and phase angle (PhA) were directly measured using a foot-to-hand bioimpedance technology at a 50 kHz frequency. Bioelectric R and Xc were standardized for the participants’ height and used to plot the bioimpedance vector in the R-Xc graph according to the BIVA approach. Results: The participants divided into groups of VO2max limited by tertiles showed significant differences in mean vector position in the R-Xc graph (p < 0.001), where a higher VO2max resulted in a longer vector and upper positioning. FM, muscle mass, and PhA differed (p < 0.01) among the athletes grouped by tertiles of VO2max, where athletes with a greater aerobic power showed a lower percentage of FM and a higher percentage of muscle mass and PhA. FM and PhA were associated with VO2max (FM: r = −0.658, p < 0.001; PhA: r = 0.493, p < 0.001). These relationships remained significant after adjusting for age and body mass (FM: ß = −0.335, p = 0.046; PhA: ß = 0.351, p = 0.003). Conclusions: Bioelectrical impedance vectors positioned on the lower pole of the R-Xc graph identified futsal players with a lower VO2max, while longer vectors corresponded to a greater aerobic power. Additionally, PhA, that describes the vector direction, was positively associated with VO2max, while a higher FM negatively affected VO2max in the futsal players. BIVA and PhA evaluation may represent a valid support for screening the aerobic fitness level in professional futsal players, when more sophisticated assessment methods are not available.

Indexed as

athletesBIABIVAfat massperformancephase anglesports practiceVO2max

Identifiers

PMID35453705
PMCPMC9025661
OpenAlexW4221038397

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.