Estimativa da massa gorda em adolescentes do sexo feminino do sul do Brasil: desenvolvimento e validação de modelos matemáticos

Autores

DOI:

https://doi.org/10.1590/1980-0037.2023v25e78711

Palavras-chave:

Adolescentes, Antropometria, Composição corporal

Resumo

Este estudo teve como objetivo desenvolver e validar os primeiros modelos matemáticos, baseados em propriedades antropométricas, para estimar a massa gorda (MG) em uma amostra heterogênea de adolescentes do sexo feminino. Estudo transversal e quantitativo conduzido com 196 indivíduos de 12 a 17 anos da região metropolitana de Curitiba, Paraná, Brasil. Os participantes foram divididos aleatoriamente em dois grupos: amostra de regressão (n = 169) e amostra de validação (n = 27). A absorciometria de raios X de dupla energia (DXA) foi usada como método de referência para determinar a gordura corporal em valores relativos e absolutos. A estatura, a massa corporal, o perímetro da cintura e a espessura das dobras cutâneas do tríceps, subescapular, bíceps, crista ilíaca, abdominal, coxa anterior e panturrilha medial foram definidas como variáveis independentes e mensuradas de acordo com um protocolo técnico internacional. As análises estatísticas utilizaram modelo de regressão Ordinary Least Square (OLS), teste t pareado e correlação de Pearson. Foram desenvolvidos quatro modelos matemáticos multivariados com altos coeficientes de determinação (R² ≥90%) e baixos erros padrão estimados (SEE = ≤2,02 kg). O modelo 4 destaca-se pelo baixo número de variáveis independentes e desempenho estatístico significativo (R² = 90%; SEE = 1,92 kg). Conclui-se que os quatro modelos matemáticos desenvolvidos são válidos para estimar a MG em adolescentes do sexo feminino do sul do Brasil.

Biografia do Autor

Joaquim Huaina Cintra-Andrade, Universidade Estadual do Ceará

Cineantropometria e Treinamento Esportivo

Referências

Bortoloti DS, Pizzi J, Pavão FH, Velasquez PAG, Costa LD, Fernandes RA, et al. Prevalence of metabolic syndrome and associated factors is 11- to 17- year-old adolescents. Rev Bras Cineantropom Desempenho Hum 2015; 17(6):683-692. DOI: 10.5007/1980-0037.2015v17n6p683

Claumann GS, Laus MF, Felden EPG, Silva DAS, Pelegrini A. Association between dissatisfaction with body image and health-related physical fitness among adolescents. Cien Saude Colet 2019; 24(4):1299-1308. DOI: 10.1590/1413-81232018244.17312017

Jastreboff AM, Kotz CM, Kahan S, Kelly AS, Heymsfield SB. Obesity as a disease: the obesity society 2018 position statement. Obesity 2019; 27(1):7-9. DOI: 10.1002/oby.22378.

Silva AM, Fields DA, Sardinha LB. A PRISMA-driven systematic review of predictive equations for assessing fat and fat-free mass in healthy children and adolescents using multicomponent molecular models as the reference method. J Obes 2013; 2013:148696. DOI: 10.1155/2013/148696

Orsso CE, Silva MIB, Gonzalez MC, Rubin DA, Heymsfield SB, Prado CM, et al. Assessment of body composition in pediatric overweight and obesity: A systematic review of the reliability and validity of common techniques. Obesity Reviews 2020; 1-18. DOI: 10.1111/obr.13041

Lohman TG, Hingle M, Going SB. Body composition in children. Pediatr Exerc Sci 2013; 25(4):573-90.

Norton K. Estimativas antropométricas de gordura corporal. In: Norton K, Olds T. Antropométrica: um livro sobre medidas corporais para o esporte e cursos da área da saúde. Porto Alegre. Artmed. 2005. p.176.

Slaughter MH, Lohman T, Boileau RA, Horswill C, Stillman R, Van Loan M, et al. Skinfold equations for estimation of body fatness in children and youth. Human Biology 1988; 60(5):709-23.

Ortiz-Hernández L, Vega López AV, Ramos-Ibáñez N, Cázares Lara LJ, Medina Gómez RJ, Pérez-Salgado D. Equations based on anthropometry to predict body fat measured by absorptiometry in schoolchildren and adolescents. J Pediatr (Rio J) 2017; 93(4):365-373. DOI: 10.1016/j.jped.2016.08.008

Hoffman DJ, Toro-Ramos T, Sawaya AL, Roberts SB, Rondo P. Estimating total body fat using a skinfold prediction equation in Brazilian children. Annals of Human Biolog 2012; 39(2):156-160. DOI: 10.3109/03014460.2012.660989

Guedes DP, Mello ERB. Prevalência de sobrepeso e obesidade em crianças e adolescentes brasileiros: revisão sistemática e meta-análise. ABCS Health Sci 2021; 46:e021301. DOI: 10.7322/abcshs.2019133.1398

Ripka WL, Ulbricht L, Gewehr PM. Body composition and prediction equations using skinfold thickness for body fat percentage in Southern Brazilian adolescents. PloS One 2017; 12(9):1-13. DOI: 10.1371/journal.pone.0184854

Machado D, Silva A, Gobbo L, Elias P, de Paula FJA, Ramos N. Anthropometric multicompartmental model to predict body composition in Brazilian girls. BMC Sports Sci Med Rehabil 2017; 9:23. DOI: 10.1186/s13102- 017-0088-7

Ulbricht L, de Campos MF, Esmanhoto E, Ripka WL. Prevalence of excessive body fat among adolescents of a south Brazilian metropolitan region and State capital, associated risk factors, and consequences. BMC public health 2018; 18(1):312. DOI: 10.1186/s12889-018-5216-0

Stewart A, Marfell-Jones M, Olds T, Ridder H. International Standards for Anthropometric Assessment. International Society for the Advancement of Kinanthropometry (ISAK). Lower Hutt, New Zealand; 2011.

Perini TA, Oliveira GL, Ornellas JS, Oliveira FP. Technical error of measurement in anthropometry. Rev Bras Med do Esporte 2005; 11(1):81-85. DOI: 10.1590/S1517-86922005000100009

Hangartner TN, Warner S, Braillon P, Jankowski L, Shepherd J. The official positions of the International Society for Clinical Densitometry: acquisition of dual-energy X-ray absorptiometry body composition and considerations regarding analysis and repeatability of measures. J Clin Densitom 2013; 16:520-536. DOI: 10.1016/j.jocd.2013.08.007

Ripka WL, Orsso CE, Haqq AM, Luz TG, Prado CM, Ulbricht L. Lean mass reference curves in adolescents using dual-energy x-ray absorptiometry (DXA). PloS one 2020; 15(2):e0228646. DOI: 10.1371/journal.pone.0228646

Long, JS; Ervin, LH. Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model. The American Statistician 2000; 54(3); 217- 224. DOI: 10.2307/2685594

Forte GC, Rodrigues CA, Mundstock E, Santos TS, Filho AD, Noal J, et al. Can skinfold thickness equations be substituted for bioimpedance analysis in children? J Pediatr (Rio J) 2020; 97(1):75-79. DOI: 10.1016/j.jped.2019.12.006

Forkert ECO, Rendo-Urteaga T, Nascimento-Ferreira MV, de Moraes ACF, Moreno LA, et al. Abdominal obesity and cardiometabolic risk in children and adolescents, are we aware of their relevance? Nutrire 2016; 41(1):15. DOI:10.1186/s41110-016-0017-7

Alves Junior CA, Mocellin MC, Goncalves ECA, Silva DA, Trindade EB. Anthropometric indicators as body fat discriminators in children and adolescents: a systematic review and meta-analysis. Adv. Nutr 2017; 8(5):718- 727. DOI: 10.3945 / an.117.015446

Sopher A, Shen W, Pietrobelli A. Pediatric body composition methods. In: Heymsfield SB, Lohman TG, Wang Z, Going SB, editors. Human body composition. 2nd Ed. Champaign: Human Kinetics; 2005. p. 130-138.

Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, et al. Advanced body composition assessment: from body mass index to body composition profiling. Journal of Investigative Medicine 2018; 66:887-895. DOI: 10.1136/jim-2018-000722

Lohman TG, Chen Z. Dual-Energy X-Ray Absorptiometry. In: Heymsfield SB, Lohman TG, Wang Z, Going SB, editors. Human body composition. 2nd Ed. Champaign: Human Kinetics; 2005. p. 64-76.

Lohman TG. Advances in body composition assessment. Champaign: Human Kinetics; 1992.

Orsso CE, Colin-Ramirez E, Field CJ, Madsen KL, Prado CM, Haqq AM. Adipose tissue development and expansion from the womb to adolescence: an overview. Nutrients 2020; 12(9):2735. DOI: 10.3390/nu12092735

Clarys JP, Martin AD, Drinkwater DT, Marfell-Jones M.J. The skinfold: myth and reality. Journal of Sports Sciences 1987; 5(1):3-33. DOI: 10.1080/02640418708729760

Vásquez F, Corvalán C, Gahagan S, Uauy R, Kain J. Predictive anthropometric models of total and truncal body fat in Chilean children. Nutrition 2020; 77:110803. DOI: 10.1016/j.nut.2020.110803

Nooyens ACJ, Koppe LLJ, Visscher TLS, Twisk JWR, Kemper HCG, Schuit AJ, et al. Adolescent skinfold thickness is a better predictor of high body fatness in adults than is body mass index: the Amsterdam Growth and Health Longitudinal Study. Am J Clin Nutr 2007; 85(6):1533-1539. DOI: 10.1093/ajcn/85.6.1533

Downloads

Publicado

2024-03-01