Body Composition of Elite Female Players in Five Different Sports Games
Open accessAbstract
The goal of this study was to identify and compare body composition (BC) variables in elite female athletes (age ± years): volleyball (27.4 ± 4.1), softball (23.6 ± 4.9), basketball (25.9 ± 4.2), soccer (23.2 ± 4.2) and handball (24.0 ± 3.5) players. Fat-free mass (FFM), fat mass, percentage of fat mass (FMP), body cell mass (BCM), extracellular mass (ECM), their ratio, the percentage of BCM in FFM, the phase angle (α), and total body water, with a distinction between extracellular (ECW) and intracellular water, were measured using bioimpedance analysis. MANOVA showed significant differences in BC variables for athletes in different sports (F60.256 = 2.93, p < 0.01, η2 = 0.407). The results did not indicate any significant differences in FMP or α among the tested groups (p > 0.05). Significant changes in other BC variables were found in analyses when sport was used as an independent variable. Soccer players exhibited the most distinct BC, differing from players of other sports in 8 out of 10 variables. In contrast, the athletes with the most similar BC were volleyball and basketball players, who did not differ in any of the compared variables. Discriminant analysis revealed two significant functions (p < 0.01). The first discriminant function primarily represented differences based on the FFM proportion (volleyball, basketball vs. softball, soccer). The second discriminant function represented differences based on the ECW proportion (softball vs. soccer). Although all of the members of the studied groups competed at elite professional levels, significant differences in the selected BC variables were found. The results of the present study may serve as normative values for comparison or target values for training purposes.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Soccer players present different bioelectrical characteristics compared to other athletes.
“As result of these peculiarities, recent studies [24, 27] have shown that soccer players present different bioelectrical characteristics compared to other athletes [28] and this could make it necessary to develop dedicated predictive equations.”
From Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models (2023) · cites this paper as [24]
The Conclusion (page unavailable) reports that elite female soccer players differed from players of at least one other sport in 8 of 10 body-composition variables measured using bioimpedance. It does not establish that soccer players generally have different bioelectrical characteristics: the measured phase angle did not differ significantly between groups, and the study does not report a comparison of raw electrical characteristics. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSoccer players are on average shorter and lighter than volleyball or basketball players, resulting in lower FFM and different morphology.
“For example, soccer players are on average shorter and lighter than volleyball or basketball players, resulting in a lower FFM as well as a different morphology [24, 25].”
From Athletic bioimpedance-based equations underestimate fat free mass components in male elite soccer players: development and validation of new soccer-specific predictive models (2023) · cites this paper as [24]
The Discussion reports that elite female soccer players had significantly lower fat-free mass than volleyball and basketball players, and links that difference to their lower height and body mass. The Results also report height and body-mass differences between those groups. The claim generalizes beyond elite female players and presents the proposed explanation as a definite cause, whereas the paper says the differences could be caused by height. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771 · see citing works
Bioelectrical impedance analysis—part II: utilization in clinical practice
Kyle, U. G., Bosaeus, I., De Lorenzo, A. D., Deurenberg, P., Elia, M., Manuel Gómez, J., Lilienthal Heitmann, B., Kent-Smith, L., Melchior, J.-C., Pirlich, M., et al. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.09.012 · Cited by 2,350 · see citing works
Predicting body cell mass with bioimpedance by using theoretical methods: a technological review
LORENZO, A. D., Andréoli, A., Matthie, J. R., & Withers, P. O. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.82.5.1542 · Cited by 654 · see citing works
Update – Ethical Standards in Sport and Exercise Science Research
Harriss, D., & Atkinson, G. (2011) · International Journal of Sports Medicine · doi:10.1055/s-0031-1287829 · Cited by 508 · see citing works
Discrimination of U-14 Soccer Players by Level and Position
Coelho-e-Silva, M. J., Figueiredo, A. J., Simões, F., Seabra, A., Natal, A., Vaeyens, R., Philippaerts, R. M., Cumming, S. P., & Malina, R. M. (2010) · International Journal of Sports Medicine · doi:10.1055/s-0030-1263139 · Cited by 195 · see citing works
Bayios, I. A., Bergeles, N., Apostolidis, N. G., et al. (2006) · PubMed · Cited by 189 · see citing works
Somatotype and size of elite female basketball players
Carter, J., Ackland, T. R., Kerr, D. A., & Stapff, A. (2005) · Journal of Sports Sciences · doi:10.1080/02640410400023233 · Cited by 156 · see citing works
Somatotype, size and body composition of competitive female volleyball players
Malousaris, G. G., Bergeles, N., Barzouka, K. G., et al. (2007) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2006.11.008 · Cited by 154 · see citing works
Body Composition in Athletes: Assessment and Estimated Fatness
Malina, R. M. (2007) · Clinics in Sports Medicine · doi:10.1016/j.csm.2006.11.004 · Cited by 136 · see citing works
Influence of gender and body composition on hydration and body water spaces
Ritz, P., Vol, S., Berrut, G., Tack, I., Arnaud, M. J., & Tichet, J. (2008) · Clinical Nutrition · doi:10.1016/j.clnu.2008.07.010 · Cited by 129 · see citing works
Sport and Training Influence Bone and Body Composition in Women Collegiate Athletes
Carbuhn, A. F., Fernandez, T. E., Bragg, A. F., Green, J. S., & Crouse, S. F. (2010) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e3181d09eb3 · Cited by 125 · see citing works
Reliability and validity of body composition measures in female athletes
Fornetti, W. C., Pivarnik, J. M., Foley, J. M., & Fiechtner, J. J. (1999) · Journal of Applied Physiology · doi:10.1152/jappl.1999.87.3.1114 · Cited by 120 · see citing works
Hewitt, A., Norton, K. I., & Lyons, K. (2014) · Journal of Sports Sciences · doi:10.1080/02640414.2014.898854 · Cited by 110 · see citing works
Leone, M., Larivière, G., & Comtois, A. S. (2002) · Journal of Sports Sciences · doi:10.1080/02640410252925116 · Cited by 95 · see citing works
Physiological and Performance Characteristics of Adolescent Club Volleyball Players
MELROSE, D. R., Spaniol, F., BOHLING, M. E., et al. (2007) · The Journal of Strength and Conditioning Research · doi:10.1519/r-19185.1 · Cited by 82 · see citing works
Effect of different sports on body cell mass in highly trained athletes
Andréoli, A., Melchiorri, G., Brozzi, M., Marco, A. D., Volpe, S. L., Garofano, P., Daniele, N. D., & LORENZO, A. D. (2003) · Acta Diabetologica · doi:10.1007/s00592-003-0043-9 · Cited by 74 · see citing works
Physical and physiological characteristics of elite women volleyball players.
Sj, F., Case, S., Puhl, J. L., et al. (1985) · PubMed · Cited by 72 · see citing works
Anthropometric and anaerobic fitness profile of elite and non-elite female soccer players.
Sedano, S., Vaeyens, R., Philippaerts, R. M., et al. (2009) · PubMed · Cited by 59 · see citing works
Anthropometric profiles of elite Asian female handball players.
Hasan, A. A., Reilly, T., Cable, N. T., et al. (2007) · PubMed · Cited by 30 · see citing works
PHYSIOLOGICAL AND PERFORMANCE CHARACTERISTICS OF ADOLESCENT CLUB VOLLEYBALL PLAYERS
MELROSE, D. R., Spaniol, F., BOHLING, M. E., et al. (2007) · The Journal of Strength and Conditioning Research · doi:10.1519/00124278-200705000-00034 · Cited by 25 · see citing works
Profili i usporedbe sastava tijela vrhunskih odbojkašica
Malá, L., Malý, T., Zahálka, F., et al. (2010) · Cited by 20 · see citing works
Comparison of body composition between two elite women's volleyball teams
Malý, T., Malá, L., Zahálka, F., et al. (2011) · Acta Gymnica · doi:10.5507/ag.2011.002 · Cited by 19 · see citing works
Gholami, M., & Rad, L. S. (2010) · British Journal of Sports Medicine · doi:10.1136/bjsm.2010.078725.114 · Cited by 11 · see citing works
Gholami, M., & Rad, L. S. (2010) · British Journal of Sports Medicine · doi:10.1136/bjsm.2010.078972.58 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Ceritsuat MS Dasdag S Akdag MZ Alteration in body composition of female players in a third league volleyball bout Ovidius University Annals, Series Physical Education and Sport/Science 2010 2 440 443
Cited by
Sorted by citations
Campa, F., Toselli, S., Mazzilli, M., Gobbo, L. A., & Coratella, G. (2021) · Nutrients · doi:10.3390/nu13051620 · Cited by 315 · see citing works
Campa, F., Bongiovanni, T., Rossi, A., Cerullo, G., Casolo, A., Martera, G., Trecroci, A., Moro, T., & Paoli, A. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04795-z · Cited by 16 · see citing works
“For example, soccer players are on average shorter and lighter than volleyball or basketball players, resulting in a lower FFM as well as a different morphology [24, 25].”
Background
- Authors
- Mala, L., Maly, T., Zahalka, F., Bunc, V., Kaplan, A., Jebavy, R., & Tuma, M.
- Affiliations
- Sport Research Center, Charles University in Prague, Prague, Czech Republic
- Department of track and field, Charles University in Prague, Prague, Czech Republic
- Department of sports games, Charles University in Prague, Prague, Czech Republic
- Venue
- Journal of Human Kinetics
- Publisher
- Walter de Gruyter GmbH
- Published
- 2015-03-01
- Volume
- 45
- Issue
- 1
- Pages
- 207-215
- ISSN
- 1640-5544 (ISSN-L)
- 1899-7562
- PMC
- PMC4415834
- OpenAlex
- W1502941378
- Cited by
- 96
- References
- 24
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 8 · 2023: 9 · 2022: 12 · 2021: 10 · 2020: 15 · 2019: 11 · 2018: 6 · 2017: 6 · 2016: 3 · 2015: 4
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Human Kinetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Univerzita Karlova v Praze
- Grantová Agentura České Republiky (GPP407/11/P784)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Training Studies
- Keywords
- body composition, elite female athletes, volleyball, softball, basketball, soccer, handball, fat-free mass, body cell mass, phase angle, total body water, extracellular water, intracellular water, sport comparison, reference values
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review