-
Je něco špatně v tomto záznamu ?
Body composition of elite female players in five different sports games
L. Mala, T. Maly, F. Zahalka, V. Bunc, A. Kaplan, R. Jebavy, M. Tuma,
Jazyk angličtina Země Polsko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 1999
PubMed Central
od 2011
Europe PubMed Central
od 2011
Open Access Digital Library
od 2008-01-01
Open Access Digital Library
od 2009-01-13
Open Access Digital Library
od 2011-01-01
PubMed
25964823
DOI
10.1515/hukin-2015-0021
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
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.
Department of sports games Charles University Prague Prague Czech Republic
Department of track and field Charles University Prague Prague Czech Republic
Sport Research Center Charles University Prague Prague Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc15023706
- 003
- CZ-PrNML
- 005
- 20150729112825.0
- 007
- ta
- 008
- 150709s2015 pl f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1515/hukin-2015-0021 $2 doi
- 035 __
- $a (PubMed)25964823
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a pl
- 100 1_
- $a Mala, Lucia $u Sport Research Center, Charles University in Prague, Prague, Czech Republic.
- 245 10
- $a Body composition of elite female players in five different sports games / $c L. Mala, T. Maly, F. Zahalka, V. Bunc, A. Kaplan, R. Jebavy, M. Tuma,
- 520 9_
- $a 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.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Maly, Tomas $u Sport Research Center, Charles University in Prague, Prague, Czech Republic.
- 700 1_
- $a Zahalka, František $u Sport Research Center, Charles University in Prague, Prague, Czech Republic.
- 700 1_
- $a Bunc, Vaclav $u Sport Research Center, Charles University in Prague, Prague, Czech Republic.
- 700 1_
- $a Kaplan, Ales $u Department of track and field, Charles University in Prague, Prague, Czech Republic.
- 700 1_
- $a Jebavy, Radim $u Department of track and field, Charles University in Prague, Prague, Czech Republic.
- 700 1_
- $a Tuma, Martin $u Department of sports games, Charles University in Prague, Prague, Czech Republic.
- 773 0_
- $w MED00181492 $t Journal of human kinetics $x 1640-5544 $g Roč. 45, č. - (2015), s. 207-15
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/25964823 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20150709 $b ABA008
- 991 __
- $a 20150729112911 $b ABA008
- 999 __
- $a ind $b bmc $g 1084038 $s 906699
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 45 $c - $d 207-15 $i 1640-5544 $m Journal of human kinetics $n J Hum Kinet $x MED00181492
- LZP __
- $a Pubmed-20150709