Multilevel Analysis of Body Composition in Elite and Sub-Elite Female Volleyball Players: Structural and Potentially Modifiable Characteristics

Body composition is a key factor in volleyball performance, but research on female athletes has largely focused on only a few general traits. This study compared elite and sub-elite female volleyball players using a multilevel body composition framework to compare structural and potentially modifiable characteristics across competitive levels. Forty female volleyball players were assessed and classified as elite (n = 15) or sub-elite (n = 25). Body composition was assessed using anthropometry and ultrasound. Elite players were taller (183.1 ± 8.2 vs. 170.7 ± 8.8 cm), heavier (76.0 ± 8.5 vs. 65.8 ± 9.1 kg), and displayed distinct body proportions compared with sub-elite players. The elite group also showed higher skeletal muscle index (SMI: 8.1 ± 0.7 vs. 7.3 ± 0.7 kg·m−2) and lower fat mass percentage (22.3 ± 2.2 vs. 25.3 ± 4.4%). However, differences in adiposity were attenuated when normalized for stature using fat mass index (FMI: 5.1 ± 0.8 vs. 5.8 ± 1.5 kg·m−2). Ultrasound-derived data indicated greater regional muscularity in elite players, whereas no differences were observed in the sum of adipose tissue layers, consistent with anthropometric skinfolds. The muscle-to-bone ratio did not differ between groups, suggesting proportional development of muscle and bone mass. Elite female volleyball players were characterized by greater structural dimensions and muscularity, whereas FMI appeared more informative than FM% for assessing adiposity.

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Publication Details

Journal
Sports
Published
2026-05-29
DOI
https://doi.org/10.3390/sports14060223
Primary Topic
Body Composition Measurement Techniques
Type
article
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article

Multilevel Analysis of Body Composition in Elite and Sub-Elite Female Volleyball Players: Structural and Potentially Modifiable Characteristics

Matteo Pincella, Fabrizio Spataro, Giuseppe Annunziata, Giuseppe Cerullo et al.
Sports
Body Composition Measurement Techniques
article

Multilevel Analysis of Body Composition in Elite and Sub-Elite Female Volleyball Players: Structural and Potentially Modifiable Characteristics

Matteo Pincella, Fabrizio Spataro, Giuseppe Annunziata, Giuseppe Cerullo, Emanuela Longa, Francesco Campa, Anjumol Cancian, Federica Sprenger, Alberto Cecchinato
article en

Abstract

Body composition is a key factor in volleyball performance, but research on female athletes has largely focused on only a few general traits. This study compared elite and sub-elite female volleyball players using a multilevel body composition framework to compare structural and potentially modifiable characteristics across competitive levels. Forty female volleyball players were assessed and classified as elite (n = 15) or sub-elite (n = 25). Body composition was assessed using anthropometry and ultrasound. Elite players were taller (183.1 ± 8.2 vs. 170.7 ± 8.8 cm), heavier (76.0 ± 8.5 vs. 65.8 ± 9.1 kg), and displayed distinct body proportions compared with sub-elite players. The elite group also showed higher skeletal muscle index (SMI: 8.1 ± 0.7 vs. 7.3 ± 0.7 kg·m−2) and lower fat mass percentage (22.3 ± 2.2 vs. 25.3 ± 4.4%). However, differences in adiposity were attenuated when normalized for stature using fat mass index (FMI: 5.1 ± 0.8 vs. 5.8 ± 1.5 kg·m−2). Ultrasound-derived data indicated greater regional muscularity in elite players, whereas no differences were observed in the sum of adipose tissue layers, consistent with anthropometric skinfolds. The muscle-to-bone ratio did not differ between groups, suggesting proportional development of muscle and bone mass. Elite female volleyball players were characterized by greater structural dimensions and muscularity, whereas FMI appeared more informative than FM% for assessing adiposity.

SportsVol. 14(6)
University of Rome Tor Vergata (IT), University of Padua (IT), San Raffaele University of Rome (IT), Italian Society of Physiotherapy (IT), Associazione Italiana Arbitri (IT)
Gender equality
Openalex Percentile: Top 6%
Body Composition Measurement Techniques
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