Validade e acurácia de equações de predição de gordura corporal usando medidas antropométricas em crianças de 7 a 10 anos
DOI:
https://doi.org/10.1590/1980-0037.2022v24e86719Palavras-chave:
Antropometria, Composição corporal, CriançaResumo
Crianças com déficit de crescimento por desnutrição perinatal apresentam especificidades na distribuição do percentual de gordura corporal (%GC) que não puderam ser detectadas por equações anteriores baseadas no %GC. Este estudo desenvolveu e validou equações preditivas do %GC derivadas de variáveis ??antropométricas em crianças de 7 a 10 anos residentes no Nordeste do Brasil, utilizando como referência a absorciometria radiológica de dupla energia (DXA). Foram utilizados dados de composição corporal de 58 crianças. O DXA foi usado como modelo de referência. Um modelo estatístico de regressão múltipla stepwise (forward) foi usado para desenvolver as equações. A análise de Bland-Altman (IC: 95%), teste t de Student pareado e o coeficiente de correlação intraclasse (CCI) foram utilizados para validar e comparar as equações. Duas novas equações foram desenvolvidas para ambos os sexos: meninos: %GC: 13,642 + (1,527*IMC) + (-0,345*Altura) + (0,875*Tríceps) + (0,290* Circunferência da cintura) e meninas: %GC: - 13,445 + (2,061*coxa). A análise de Bland-Altman mostrou boa concordância, com limites variando de -1,33 a 1,24% para meninos e -3,35 a 4,08% para meninas. O teste t de Student pareado não mostrou diferença entre %GC-DXA e as duas novas equações (p>0,05), e o CCI foi de 0,948 e 0,915, respectivamente.
Referências
Sampaio AdS, Epifanio M, Costa CAD, Bosa VL, Benedetti FJ, Sarria EE, et al. Evidence on nutritional assessment techniques and parameters used to determine the nutritional status of children and adolescents: systematic review. Ciência & Saúde Coletiva. 2018;23:4209-19.
Gutin I. In BMI We Trust: Reframing the Body Mass Index as a Measure of Health. Soc Theory Health. 2018;16(3):256-71.
Belarmino G, Horie LM, Sala PC, Torrinhas RS, Heymsfield SB, Waitzberg DL. Body adiposity index performance in estimating body fat in a sample of severely obese Brazilian patients. Nutr J. 2015;14(130):015-0119.
Kuriyan R. Body composition techniques. Indian J Med Res. 2018;148(5):648-58.
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. J Investig Med. 2018;66(5):1-9.
Ponti F, Plazzi A, Guglielmi G, Marchesini G, Bazzocchi A. Body composition, dual-energy X-ray absorptiometry and obesity: the paradigm of fat (re)distribution. BJR Case Rep. 2019;5(3):20170078-.
Forte GC, Rodrigues CAS, Mundstock E, Santos TSD, Filho AD, Noal J, et al. Can skinfold thickness equations be substituted for bioimpedance analysis in children? J Pediatr. 2020;19(19):30602-3.
Almeida SM, Furtado JM, Mascarenhas P, Ferraz ME, Silva LR, Ferreira JC, et al. Anthropometric predictors of body fat in a large population of 9-year-old school-aged children. Obes Sci Pract. 2016;2(3):272-81.
Stevens J, Ou FS, Cai J, Heymsfield SB, Truesdale KP. Prediction of percent body fat measurements in Americans 8 years and older. Int J Obes (Lond). 2016;40(4):587-94.
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. Human biology. 1988;60(5):709-23.
Dos Santos FK, Moura Dos Santos MA, Almeida MB, Nobre IG, Nobre GG, Ferreira ESWT, et al. Biological and behavioral correlates of body weight status among rural Northeast Brazilian schoolchildren. Am J Hum Biol. 2018;30(3):e23096.
Fradkin C, Valentini NC, Nobre GC, Dos Santos JOL. Obesity and Overweight Among Brazilian Early Adolescents: Variability Across Region, Socioeconomic Status, and Gender. Front Pediatr. 2018; 6:81.
Niehues JR, Gonzales AI, Lemos RR, Bezerra PP, Haas P. Prevalence of overweight and obesity in children and adolescents from the age range of 2 to 19 years old in Brazil. Int J Pediatr. 2014;2014:583207-.
Nobre GG, de Almeida MB, Nobre IG, Dos Santos FK, Brinco RA, Arruda-Lima TR, et al. Twelve Weeks of Plyometric Training Improves Motor Performance of 7- to 9-Year-Old Boys Who Were Overweight/Obese: A Randomized Controlled Intervention. J Strength Cond Res. 2017;31(8):2091-9.
Oliveira T, Ribeiro I, Jurema-Santos G, Nobre I, Santos R, Rodrigues C, et al. Can the Consumption of Ultra-Processed Food Be Associated with Anthropometric Indicators of Obesity and Blood Pressure in Children 7 to 10 Years Old? 2020;9(11):1567.
Lohman TG. Applicability of body composition techniques and constants for children and youths. Exerc Sport Sci Rev. 1986;14:325-57.
Shepherd JA, Wang L, Fan B, Gilsanz V, Kalkwarf HJ, Lappe J, et al. Optimal monitoring time interval between DXA measures in children. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2011;26(11):2745-52.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet (London, England). 1986;1(8476):307-10.
Wohlfahrt-Veje C, Tinggaard J, Winther K, Mouritsen A, Hagen CP, Mieritz MG, et al. Body fat throughout childhood in 2647 healthy Danish children: agreement of BMI, waist circumference, skinfolds with dual X-ray absorptiometry. Eur J Clin Nutr. 2014;68(6):664-70.
Sant'Anna Mde S, Tinoco AL, Rosado LE, Sant'Ana LF, Mello Ade C, Brito IS, et al. Body fat assessment by bioelectrical impedance and its correlation with different anatomical sites used in the measurement of waist circumference in children. J Pediatr. 2009;85(1):61-6.
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. 2017;93(4):365-73.
Kehoe SH, Krishnaveni GV, Lubree HG, Wills AK, Guntupalli AM, Veena SR, et al. Prediction of body-fat percentage from skinfold and bio-impedance measurements in Indian school children. Eur J Clin Nutr. 2011;65(12):1263-70.
Costa-Urrutia P, Vizuet-Gámez A, Ramirez-Alcántara M, Guillen-González MÁ, Medina-Contreras O, Valdes-Moreno M, et al. Obesity measured as percent body fat, relationship with body mass index, and percentile curves for Mexican pediatric population. PLOS ONE. 2019;14(2):e0212792-e.
Srdić B, Obradović B, Dimitrić G, Stokić E, Babović SS. Relationship between body mass index and body fat in children-Age and gender differences. Obes Res Clin Pract. 2012;6(2):e91-e174.
Goran MI, Driscoll P, Johnson R, Nagy TR, Hunter G. Cross-calibration of body-composition techniques against dual-energy X-ray absorptiometry in young children. Am J Clin Nutr. 1996;63(3):299-305.
Wendel D, Weber D, Leonard MB, Magge SN, Kelly A, Stallings VA, et al. Body composition estimation using skinfolds in children with and without health conditions affecting growth and body composition. Annals of human biology. 2017;44(2):108-20.
Simões M, Severo M, Oliveira A, Ferreira I, Lopes C. Predictive equations for estimating regional body composition: a validation study using DXA as criterion and associations with cardiometabolic risk factors. Annals of human biology. 2016;43:1-10.
Sun SS, Chumlea WC, Heymsfield SB, Lukaski HC, Schoeller D, Friedl K, et al. Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Clin Nutr. 2003;77(2):331-40.
Eston R, Rowlands A, Charlesworth S, Davies A, Hoppitt T. Prediction of DXA-determined whole body fat from skinfolds: Importance of including skinfolds from the thigh and calf in young, healthy men and women. European journal of clinical nutrition. 2005;59:695-702.
Eston R. Editorial. Journal of Sports Sciences. 2003;21(5):369-70.
Downloads
Publicado
Edição
Seção
Licença
Direitos Autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista. Em virtude da aparecerem nesta revista de acesso público, os artigos são de uso gratuito, com atribuições próprias, em aplicações educacionais e não-comerciais, desde que seja dada a atribuição. Esta obra foi licenciada com uma Licença Creative Commons Atribuição 4.0 Internacional - CC BY
