Body composition, strength and muscle power indices at the different competitive levels of Futsal

Objective: The aim was to verify the differences in physical condition (body composition, power and muscle strength) in futsal players from three competitive levels. Methodology: Sixty-eight (24.26 ± 4.63 years old) Portuguese futsal players participated in the study, divided into: elite, sub-elite and amateur. We used the bioimpedance, the countermovement jump and the isokinetic dynamometer to assess physical condition, and the Kruskal-Wallis test to compare variables between groups. Results: There were no differences in body composition between groups. Elite players had higher countermovement jump heights than amateur players (p < 0.001). There were significant differences in the isokinetic muscle strength of the knee flexors, with the elite players showing more strength than the amateur players (p = 0.047). Discussion: The results of the research should be contrasted with those of other research found in the literature. Conclusions: The elite players had higher physical condition parameters (more lower limb power and more flexor muscle strength) compared to the amateur players. We would point out that all groups had a high probability of lower limb muscle injury (H/Q ratio < 60%) at this stage of the sports season, alerting training professionals to the importance of individualised physical condition analysis.

Authors

Institutions

Publication Details

Journal
Retos
Published
2025-02-16
DOI
https://doi.org/10.47197/retos.v65.110036
Citations
1
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Body composition, strength and muscle power indices at the different competitive levels of Futsal

Miguel Rebelo, Rui Paulo, Samuel Honório, Marco Batista et al.
1 citations
Retos
Sports Performance and Training
1.72
article

Body composition, strength and muscle power indices at the different competitive levels of Futsal

Miguel Rebelo, Rui Paulo, Samuel Honório, Marco Batista, Rute Crisóstomo, Pedro Duarte‐Mendes, João Serrano, Catarina Marques
article en
1 citations

Abstract

Objective: The aim was to verify the differences in physical condition (body composition, power and muscle strength) in futsal players from three competitive levels. Methodology: Sixty-eight (24.26 ± 4.63 years old) Portuguese futsal players participated in the study, divided into: elite, sub-elite and amateur. We used the bioimpedance, the countermovement jump and the isokinetic dynamometer to assess physical condition, and the Kruskal-Wallis test to compare variables between groups. Results: There were no differences in body composition between groups. Elite players had higher countermovement jump heights than amateur players (p < 0.001). There were significant differences in the isokinetic muscle strength of the knee flexors, with the elite players showing more strength than the amateur players (p = 0.047). Discussion: The results of the research should be contrasted with those of other research found in the literature. Conclusions: The elite players had higher physical condition parameters (more lower limb power and more flexor muscle strength) compared to the amateur players. We would point out that all groups had a high probability of lower limb muscle injury (H/Q ratio < 60%) at this stage of the sports season, alerting training professionals to the importance of individualised physical condition analysis.

RetosVol. 65
Universidade Politécnica de Castelo Branco (PT)
Openalex Percentile: Top 22%
Sports Performance and Training
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.