Correlation between body composition and neuromuscular performance of school-age children who play volleyball adjusted by gender and maturation: preliminary evidence
DOI:
https://doi.org/10.11606/issn.1981-4690.2025e39206660Palavras-chave:
Youth athletes, Net sports, Anthropometric measure, Physical fitnessResumo
Volleyball is frequently offered to school-aged children to increase the amount of physical activity. However, the participation of overweight and obese individuals is low. Thus, the hypothesis that body composition negatively correlates with neuromuscular performance, considering gender and maturation as adjustment factors, was investigated. Therefore, the objective of this study was to correlate body mass index (BMI) with neuromuscular performance (lower/upper limb power and flexibility), adjusted for gender and maturation. Nineteen children [male (n = 9); female (n = 10)] with a mean age of 9.54 (±0.88) years, who had been playing volleyball for ≥ 6 months, participated in the study. BMI was calculated, and lower limb power was measured by countermovement jump (CMJ), upper limb power by the overhead medicine ball throw (OMBT), and flexibility by the sit-and-reach flexibility test (SARFT). Finally, maturation was assessed using the peak height velocity approach. BMI was negatively correlated more strongly with CMJ height (r = -0.774; p < 0.001) when adjusted for gender and maturation. Therefore, a higher BMI may impair jump performance even when adjusted for gender and maturation. However, the impact of BMI on upper limb power and flexibility was less pronounced.
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1. Benedetti TRB, Borges LJ, Streit IA, et al. Validade e clareza dos conceitos e terminologias do Guia de Atividade Física para a População Brasileira. Rev Bras Atividade Física Saúde. 2021;26(1):1-11.
2. Kraus WE, Powell KE, Haskell WL, et al. Physical Activity, All-Cause and Cardiovascular Mortality, and Cardiovascular Disease. Med Sci Sports Exerc. 2019;51(6):1270-1281.
3. Dimitri P, Joshi K, Jones N. Moving more: physical activity and its positive effects on long term conditions in children and young people. Arch Dis Child. 2020;105(11):1035-1040.
4. Dumith SC, Prazeres Filho A, Cureau FV, et al. Physical activity for children and youth: Physical Activity Guidelines for the Brazilian Population. Rev Bras Atividade Física Saúde. 2021;26(1):1-9.
5. Vilamitjana JJ, Soler D, Barrial JM, De Oca MM, Rodriguez F, Del Grecco P. Jumping Profile of Elite Volleyball Male Players by Field Positions during a Competitive Season. Med Sci Sport Exerc. 2008;40(5):S383.
6. Rosa CC, Tebar WR, Oliveira CBS, et al. Effect of different sports practice on sleep quality and quality of life in children and adolescents: randomized clinical trial. Sport Med Open. 2021;7(1):1-10.
7. Resaland GK, Aadland E, Andersen JR, Bartholomew JB, Anderssen SA, Moe VF. Physical activity preferences of 10-year-old children and identified activities with positive and negative associations to cardiorespiratory fitness. Acta Paediatr Int J Paediatr. 2019;108(2):354-360.
8. Trajković N, Lazić A, Trkulja-Petković D, et al. Effects of after-school Volleyball Program on body composition in overweight adolescent girls. Children. 2022;9(1).
9. Corso ACT, Caldeira GV, Fiates GMR, Schmitz BAS, Ricardo GD, Vasconcelos FAG. Behavioral factors associated with overweight and with obesity in students in the State of Santa Catarina. Rev Bras Estud Popul. 2012;29(1):117-131.
10. WHO WHO. The Use and Interpretation of Anthropometry: Report of WHO Expert Commitee.; 1995. Avaliable in: https://www.analesdepediatria.org/en-tuberculosis-in-paediatric-age-group-articulo-S2341287920302544.
11. Nikolaidis PT. Association between body mass index, body fat per cent and muscle power output in soccer players. Cent Eur J Med. 2012;7(6):783-789.
12. Nikolaidis PT. Body mass index and body fat percentage are associated with decreased physical fitness in adolescent and adult female volleyball players. J Res Med Sci. 2013;18(1):22-26.
13. Gantois P, Pinto VCM, De Castro KR, João P V., Dantas PMS, Cabral BGAT. Skeletal age and explosive strength in young volleyball players. Rev Bras Cineantropometria e Desempenho Hum. 2017;19(3):331-342.
14. Hoyt LT, Niu L, Pachucki MC, Chaku N. Timing of puberty in boys and girls: implications for population health. Popul Heal. 2020;10(1):1-12.
15. Marshall W, Tanner JM. Variations in the Pattern of Pubertal Changes in Boys. Arch Dis Child. 1970;45(1):150-157.
16. Cabral BGAT, Cabral SAT, Vital R, et al. Prediction equation of bone age in sports initiation through anthropometric variables. Rev Bras Med do Esporte. 2013;19(2):99-103.
17. Mirwald RL, Baxter-Jones ADG, Bailey DA, Beunen GP. An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc. 2002;34(4):689-694.
18. Granados A, Gebremariam A, Lee JM. Relationship between timing of peak height velocity and pubertal staging in boys and girls. J Clin Res Pediatr Endocrinol. 2015;7(3):235-237.
19. Khodaverdi Z, Bahram A, Khalaji H, Kazemnejad A. Motor skill competence and perceived motor competence: Which best predicts physical activity among girls? Iran J Public Health. 2013;42(10):1145-1150.
20. Gaya AR, Gaya A, Pedretti A, Mello J. Projeto Esporte Brasil: manual de medidas, testes e avaliações. 5. ed. Porto Alegre: Universidade Federal do Rio Grande do Sul; 2021.
21. Gomez-Bruton A, Gabel L, Nettlefold L, Macdonald H, Race D, McKay H. Estimation of peak muscle power from a countermovement vertical jump in children and adolescents. J Strength Cond Res. 2019;33(2):390-398.
22. Wood R. Kneeling power ball overhead throw (forwards). 2008. Avaliable in: https://www.topendsports.com/testing/tests/power-ball-overhead-kneeling.htm.
23. Sell MA, Abt JP, Sell TC, et al. Reliability and validity of medicine ball toss tests as clinical measures of core strength. Isokinet Exerc Sci. 2015;23(3):151-160.
24. Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3-12.
25. Mukaka MM. Statistics Corner : A guide to appropriate use of Correlation coefficient in medical research. Med J. 2012;24:69-71.
26. Koulouvaris P, Tsolakis C, Tsekouras YE, Donti O, Papagelopoulos PJ. Obesity and physical fitness indices of children aged 5-12 years living on remote and isolated islands. Rural Remote Health. 2018;18(2).
27. Monyeki MA, Neetens R, Moss SJ, Twisk J. The relationship between body composition and physical fitness in 14 year old adolescents residing within the Tlokwe local municipality, South Africa: The PAHL study. BMC Public Health. 2012;12(1):1.
28. Hobold E, Flores LJF, Brandt R, Mazzardo Junior O, Arruda M. Peak height velocity in anthropometry and body composition of students. Rev Bras Cineantropometria e Desempenho Hum. 2017;19(3):309-315.
29. Marta CC, Marinho DA, Barbosa TM, Izquierdo M, Marques MC. Physical fitness differences between prepubescent boys and girls. J Strength Cond Res. 2012;26(7):1756-1766.
30. Kato E, Oda T, Chino K, et al. Musculotendinous factors influencing difference in ankle joint flexibility between women and men. Int J Sport Heal Sci. 2005;3(2):218-225.
31. He H, Pan L, Du J, et al. Muscle fitness and its association with body mass index in children and adolescents aged 7-18 years in China: a cross-sectional study. BMC Pediatr. 2019;19(1):101.
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