Evidence map›Paper›PMID 39170488›Full record

ArticleHeliyon2024

Raw bioelectrical data and physical performance in track and field athletes: Are there differences between the sexes in the relationship?

Gabriele Mascherini, Matteo Levi Micheli, Sofia Serafini, Claudia Politi, Eva Bianchi, Álex Cebrián-Ponce, Marta Carrasco-Marginet, Pascal Izzicupo

Abstract read
In one paragraph

Article in Heliyon, 2024. 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
–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

3 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Gabriele MascheriniDepartment of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Matteo Levi MicheliDepartment of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Sofia SerafiniDepartment of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy.
Claudia PolitiDepartment of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Eva BianchiDepartment of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Álex Cebrián-PonceINEFC-Barcelona Sports Sciences Research Group, Institut Nacional D'Educació Física de Catalunya (INEFC), University of Barcelona (UB), 08038, Barcelona, Spain.
Marta Carrasco-MarginetINEFC-Barcelona Sports Sciences Research Group, Institut Nacional D'Educació Física de Catalunya (INEFC), University of Barcelona (UB), 08038, Barcelona, Spain.
Pascal IzzicupoDepartment of Medicine and Aging Sciences, University "G. D'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to investigate the relationship between raw bioelectrical data and physical performance in track and field athletes. Specifically, the objectives were to determine: 1) whether a regional bioelectrical impedance approach provides additional insights compared to whole-body analysis, 2) the reliability of the Levi Muscle Index (LMI) in this context, and 3) whether there are differences in these relationships between male and female athletes. Design: This study utilized a cross-sectional design involving thirty-one female athletes (mean age 21.4 ± 3.8 years) and thirty male athletes (mean age 21.1 ± 2.6 years) from track and field. On a single day, participants underwent whole-body and regional bioelectrical impedance assessments focusing on the lower limbs, alongside strength and speed performance tests. Results: The study found no significant differences in the relationship between whole-body versus regional bioelectrical impedance and performance tests. Resistance (R) demonstrated an inverse correlation, while phase angle (PhA) and Levi Muscle Index (LMI) showed direct correlations with most performance variables in track and field athletes. Significant differences were observed between male and female athletes across all parameters, with male athletes exhibiting superior performance, higher PhA and LMI values, and stronger correlation coefficients compared to females. Conclusions: In summary, this study highlights the intricate relationship between body composition and physical performance in athletes. It underscores the importance of considering sex differences and the reliability of raw bioelectrical data, whether obtained through regional or whole-body approaches, in assessing athletic performance.

Indexed as

BIVALevi muscle indexPhase angleSprintStrength

Identifiers

PMID39170488
PMCPMC11337029

What OpenQuestion holds

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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.