Impact of different predictive equations of basal metabolic rate in children federated futsal players
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Abstract
Objective: To evaluate the impact of different predictive equations of basal metabolic rate in federated futsal practitioners children. Methods: A total of 41 male players (n=41) of the categories sub 7 to 9 obtained the body weight, height and skinfold to calculate the body mass index and fat percentage. It was calculated the basal metabolic rate from two predictive equations for children 310 years. Nonparametric tests were used (p <0.05) to conduct inferential analyzes. Results: Regarding nutritional status federated children were classified as overweight, but with fat percentage appropriate for the age group. The basal metabolic rate values differed significantly by 3%, with an overestimation from the Henry equation and Ress (1991). Conclusions: It is advised caution to obtain the basal metabolic rate federated futsal children when using predictive equations should not use them as equivalent, primarily to compute the total energy expenditure.
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References
1. AAP (American Academy of Pediatrics). Dietary recommendations for children and adolescents: a guide for practitioners. Pediatrics 2006; 117(10): 544559.
2. AAP (American Academy of Pediatrics). Organized sports for children and preadolescents.Pediatrics 2011; 107(6): 14591462.
3. Abrantes MM, Lamounier JA, Colosimo EA. Prevalência de sobrepeso e obesidade em crianças e adolescentes das regiões Sudeste e Nordeste. J Pediatr 2002; 78(4):33540.
4. Cole, TJ, Belizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000; 320(7244): 12401243.
5. Cruz CM, Silva AF, Anjos LA. A taxa metabólica basal é superestimada pelas equações preditivas em universitárias do Rio de Janeiro, Brasil. Arch Latinoam Nutr 1999; 49(1): 2327.
6. Deurenberg P, Pieters JJL, Hautvast JGA. The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence. Br J Nutr 1990; 63(2): 293303.
7. Food and Agriculture Organization (FAO), World Health Organization (WHO), United Nations University (UNU). Energy and protein requirements. WHO Technical Report Series 724, Geneva: WHO, 1985.
8. Fonseca PHS, Duarte MF. Validade da equação de Henry e Rees que estima a taxa metabólica de repouso em adolescentes masculinos. Rev Paul Pediatr 2011; 29(2): 2027.
9. Fonseca PHS, Duarte MFS, Barbetta PA. Validação das equações que estimam a taxa metabólica de repouso em adolescentes meninas. Arq Bras Endocrinol Metab 2010; 54(1): 306.
10. Goran MI, Sun M. Total energy expenditure and physical activity in prepubertal children: recent advances based on the application of the doubly labeled water method. Am J Clin Nutr 1998; 68: 944S9S.
11. Henry CJ, Rees DG. New predictive equations for the estimation of basal metabolic rate in tropical peoples. Eur J Clin Nutr. 1991; 45(4): 17785.
12. Henry CJK. Basal metabolic rate studies in human: measurement and development of new equations. Pub Healt Nutr 2005; 8(7a): 11331152.
13. Heyward VH, Stolarczyk LM. Composição corporal e crianças. In: Heyward VH, Stolarczyk LM. Avalição da composição corporal. Manole: São Paulo. 2000, p. 100109.
14. Juzwiak CR, Paschoal VCP, Lopez FA. Nutrição e atividade física. J Pediatr 2000;76 (S3): 34958.
15. Lopes VP. Maia JAR. Atividade física nas crianças e jovens Rev Bras Cineantropom Desempenho Hum 2004; 6(1): 8292.
16. Melo CM, Tirapegui J, Ribeiro SML. Gasto energético corporal: conceito, formas de avaliação e sua relação com a obesidade. ABEM 2008; 52(2): 452464.
17. Melo ED, Luft VC, Meyer F. Obesidade infantil: como podemos ser eficazes? J Pediatr 2004; 80(3): 17382.
18. Pereira HRC, Bobbio TG, Antonio MARG, Filho AAB. Obesidade na criança e no adolescente: quantas calorias a mais são responsáveis pelo excesso de peso? Ver Paul Pediatr 2013; 31(2): 2527.
19. Petroski EL. Antropometria: técnicas e padronizações. 2a ed. Porto Alegre: Pallotti; 2003.
20. Reis VAB, Azevedo COE, Rossi L. Perfil antropométrico e taxa de sudorese no futebol juvenil. Rev Bras Cineantropom Desempenho Hum 2009; 11(1): 134141.
21. Rossi L, Caruso L, Galante AP. Avaliação nutricional: novas perspectivas. 2a ed. São Paulo: Roca, 2015.
22. Rossi L. Nutrição esportiva do fitness ao wellness. 1a ed. São Paulo: Roca, 2009.
23. Schneider P, Meyer F. As equações de predição da taxa metabólica basal são apropriadas para adolescentes com sobrepeso e obesidade?
Rev Bras Med Esporte 2005; 11(3): 1936.
24. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin 1985; 29(S1): 541.
25. Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, Van Loan MD, et al. Skinfold equations for estimation of body fatness in children and youth. Hum Biol 1988; 60(5): 70923.
26. Tounian P, Dumas C, Veinberg F, Girardet JP. Resting energy expenditure and substrate utilization rate in children with constitutional leanness or obesity. Clin Nutr 2003;22(4): 3537.
27. Wahrlich V, Anjos LA. Aspectos históricos e metodológicos da medição e estimativa da taxa metabólica basal: uma revisão da literatura. Cad Saúde Pública 2001; 17(4): 80117a.
28. Wahrlich V, Anjos LA. Validação de equações de predição da taxa metabólica basal em mulheres residentes em Porto Alegre, RS, Brasil. Rev Saúde Pública 2001; 35(1): 3945.