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Query: "keywords" (body fat) .

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1.
Body composition of young soccer players
Erol Kovačević, Denis Čaušević, Seth Spicer, Siniša Kovač, Ivor Doder, Slavenko Likić, Boris Metikoš, 2022, original scientific article

Abstract: Purpose:The main aim of this study was to examine and analyse the body composi-tion of young soccer players across different age groups.Methods: A cross-sectional study was carried out among 126 young soccer players divided into age categories: U15 – 53 players (age=14.68±0.47); U17 – 51 players (age=16.47±0.50); U19 – 22 players (age=18.05±0.38). The subjects’ height was mea-sured using an anthropometer, while their body composition was measured using the TANITA BC-420MA digital scale. Results: On average, soccer players in the U15 group had significantly lower body height, weight, body mass index and fat free mass than U17 and U19 players, but had a higher percentage of body fat (p < 0.05). In addition to the percent of body fat mass, which tends to significantly decrease with age, the results also demonstrate significant non-linear increases in body height, weight, and lean body composition concurrent with the players’ ages.Conclusion:These results indicate that younger soccer players have lower abso-lute values of morphological characteristics compared to senior players.
Keywords: BMI, anthropometry, fitness, body fat, soccer
Published in DiRROS: 15.04.2024; Views: 87; Downloads: 56
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2.
Editorial
Boštjan Šimunič, 2022, preface, editorial, afterword

Keywords: kinesiology, body fat, weigh, body mass, body composition, monitoring, methods
Published in DiRROS: 03.03.2023; Views: 386; Downloads: 177
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3.
Correlation of body composition with speed and agility of children aged 9-10
Mima Stanković, Dušan Đorđević, Milan Zelenovic, Danijel Bozic, 2020, original scientific article

Abstract: Purpose: Physical growth of children is measured by changes in body size and/or body composition, as well as by changes in motor skills. Motor skills can be affected by many factors, such as genetic predisposition, body composition, socio-economic conditions, and the like. Accordingly, the aim of the research is to determine the correlation between body composition with speed and agility of children aged 9 to 10 years. Methods: The sample included 40 participants (29 boys and 11 girls, 9.47 ± 0.5 years). Body height (BH), body weight (BW), body mass index (BMI) and body fat (BF), and basal metabolism (BMR) were determined to assess body composition. The BOT-2 subtest was used to assess speed and agility, which includes: Shuttle Run (1SAA), Stepping Sideways over a Balance Beam (2SAA), One-Legged Stationary Hop (3SAA), One-Legged Side Hop (4SAA), Two-Legged Side Hop (5SAA), and Total Speed and Agility (TSAA). Results: The results of correlation statistics indicated the existence of negative correlations between: height and 3SAA (r=-.353, p=.026); weight and 3SAA (r=-.422, p=. 007); weight and TSAA (r=-.359, p=.023); BMI and 3SAA (r=-.342, p=. 031); BMI and TSAA (r=-.333, p=.036); BMR and 3SAA (r=-.369, p=. 019); BMR and TSAA (r=-.363, p=.021). Conclusion: Based on the results obtained in this study, it can be concluded that there is a correlation between body composition and speed and agility. In addition to body composition, a correlation was found between body height and performance of one-legged stationary hop, as well as between basal metabolism, the one-legged stationary hop test and the overall results achieved in motor skill tests.
Keywords: children, body fat, basal metabolism, motor abilities, OMRON
Published in DiRROS: 02.03.2023; Views: 395; Downloads: 108
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