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EN
The purpose of the study was to determine the effects of different sports on body fat and lean body mass in pubescent girls. Material and Methods: The sample of 40 girls (12 ± 1.2 years of age) were divided into 4 groups: 10 volleyball players, 10 basketball players, 10 swimmers, and 10 girls formed the control group. Body height was measured using portable stadiometer. We used InBody 230 to measure body mass, body mass index, fat mass, lean mass, visceral fat, and sum of skeletal muscles. The measured variables were evaluated using the Body-vision program and Statistica 12.0 cz. For normal distribution we used Shapiro-Wilk normality test. The differences between the groups were determined by Kruskal-Wallis test, p<0.05. Results: We found statistically significant differences in fat mass between the groups of swimmers and the control in the body fat (10.62%; p= 0.033) and fat mass in upper limbs (1.42 kg; p= 0.027). Statistically significant difference was found between the group of swimmers and volleyball players in the lower limbs fat mass (2.43 kg; p= 0.045). Furthermore, statistically significant difference in lean mass was found between the volleyball players and the control in the weight of the lower limbs muscle mass (3.59 kg; p= 0.047). Conclusions: Our findings show that sports such as volleyball, basketball, and swimming provide appropriate development of lean mass in pubescent girls. We may conclude that pubertal girls practicing sports have lower body fat mass and higher lean body mass compared to youth who do not practice sports.
EN
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.
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