About this Journal Submit a Manuscript Table of Contents
Journal of Obesity
Volume 2013 (2013), Article ID 428135, 8 pages
http://dx.doi.org/10.1155/2013/428135
Research Article

The Multicomponent Anthropometric Model for Assessing Body Composition in a Male Pediatric Population: A Simultaneous Prediction of Fat Mass, Bone Mineral Content, and Lean Soft Tissue

1School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil
2Department of Statistic, Faculty of Science and Technology, Paulista State University, Presidente Prudente, Brazil

Received 20 November 2012; Revised 8 February 2013; Accepted 8 February 2013

Academic Editor: Analiza M. Silva

Copyright © 2013 Dalmo Machado et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. B. Heymsfield, T. G. Lohman, Z. Wang, and S. B. Going, Human Body Composition, Human Kinetics, Champaign, Ill, USA, 2nd edition, 2005.
  2. P. Deurenberg, J. J. L. Pieters, and J. G. A. J. Hautvast, “The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence,” British Journal of Nutrition, vol. 63, no. 2, pp. 293–303, 1990. View at Scopus
  3. J. A. Weststrate and P. Deurenberg, “Body composition in children: proposal for a method for calculating body fat percentage from total body density or skinfold-thickness measurements,” American Journal of Clinical Nutrition, vol. 50, no. 5, pp. 1104–1115, 1989. View at Scopus
  4. J. C. K. Wells, N. J. Fuller, O. Dewit, M. S. Fewtrell, M. Elia, and T. J. Cole, “Four-component model of body composition in children: density and hydration of fat-free mass and comparison with simpler models,” American Journal of Clinical Nutrition, vol. 69, no. 5, pp. 904–912, 1999. View at Scopus
  5. A. Pietrobelli, C. Formica, Z. Wang, and S. B. Heymsfield, “Dual-energy X-ray absorptiometry body composition model: review of physical concepts,” American Journal of Physiology, vol. 271, no. 6, pp. E941–E951, 1996. View at Scopus
  6. K. Hind, L. Gannon, E. Whatley, and C. Cooke, “Sexual dimorphism of femoral neck cross-sectional bone geometry in athletes and non-athletes: a hip structural analysis study,” Journal of Bone and Mineral Metabolism, vol. 30, no. 4, pp. 454–460, 2011.
  7. M. P. Rothney, F.-P. Martin, Y. Xia et al., “Precision of GE lunar iDXA for the measurement of total and regional body composition in nonobese adults,” Journal of Clinical Densitometry, vol. 15, no. 4, pp. 399–404, 2012. View at Publisher · View at Google Scholar
  8. A. B. Sopher, J. C. Thornton, J. Wang, R. N. Pierson, S. B. Heymsfield, and M. Horlick, “Measurement of percentage of body fat in 411 children and adolescents: a comparison of dual-energy X-ray absorptiometry with a four-compartment model,” Pediatrics, vol. 113, no. 5 I, pp. 1285–1290, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Deurenberg-Yap, G. Schmidt, W. A. Van Staveren, J. G. A. J. Hautvast, and P. Deurenberg, “Body fat measurement among Singaporean Chinese, Malays and Indians: a comparative study using a four-compartment model and different two-compartment models,” British Journal of Nutrition, vol. 85, no. 4, pp. 491–498, 2001. View at Scopus
  10. A. M. Silva, C. S. Minderico, P. J. Teixeira, A. Pietrobelli, and L. B. Sardinha, “Body fat measurement in adolescent athletes: multicompartment molecular model comparison,” European Journal of Clinical Nutrition, vol. 60, no. 8, pp. 955–964, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Wang, J. C. Thornton, M. Horlick et al., “Dual X-ray absorptiometry in pediatric studies: changing scan modes alters bone and body composition measurements,” Journal of Clinical Densitometry, vol. 2, no. 2, pp. 135–141, 1999. View at Scopus
  12. CDC, National Health and Nutrition Examination Survey 1999-2000, National Center for Health Statistics, Toledo, Ohio, USA, 1999.
  13. H. Bolfarine and W. O. Bussab, Elementos de Amostragem, Edgard Blücher, São Paulo, Brazil, 2005.
  14. T. G. Lohman, A. F. Roche, and R. Martorell, Anthropometric Standardization Reference Manual, Human Kinetics, Champaign, Ill, USA, 1988.
  15. K. Norton and T. Olds, Antropométrica, Armed, Porto Alegre, Brazil, 2005.
  16. T. G. Lohman, “Applicability of body composition techniques and constants for children and youths,” Exercise and Sport Sciences Reviews, vol. 14, pp. 325–357, 1986. View at Scopus
  17. R. L. Mirwald, A. D. G. Baxter-Jones, D. A. Bailey, and G. P. Beunen, “An assessment of maturity from anthropometric measurements,” Medicine and Science in Sports and Exercise, vol. 34, no. 4, pp. 689–694, 2002. View at Scopus
  18. R R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2012.
  19. R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis, Prentice Hall, New York, NY, USA, 5th edition, 1992.
  20. D. B. Holiday, J. E. Ballard, and B. C. McKeown, “PRESS-related statistics: regression tools for cross-validation and case diagnostics,” Medicine and Science in Sports and Exercise, vol. 27, no. 4, pp. 612–620, 1995. View at Scopus
  21. S. S. Sun, W. C. Chumlea, S. B. Heymsfield et al., “Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys,” American Journal of Clinical Nutrition, vol. 77, no. 2, pp. 331–340, 2003. View at Scopus
  22. F. E. Nogueira, Modelos de Regressão Multivariada, Instituto de Matemática e Estatística Universidade de São Paulo, São Paulo, Brazil, 2007.
  23. D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis, John Wiley, New York, NY, USA, 4th edition, 2006.
  24. J. V. G. A. Durnin and J. Womersley, “Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years,” British Journal of Nutrition, vol. 32, no. 1, pp. 79–97, 1974. View at Scopus
  25. K. J. Ellis, “Body composition of a young, multiethnic, male population,” American Journal of Clinical Nutrition, vol. 66, no. 6, pp. 1323–1331, 1997. View at Scopus
  26. M. H. Slaughter, T. G. Lohman, R. A. Boileau et al., “Skinfold equations for estimations of body fatness in children and youth,” Human Biology, vol. 60, no. 5, pp. 709–723, 1988. View at Scopus
  27. D. W. Harsha, R. R. Frerichs, and G. S. Berenson, “Densitometry and anthropometry of black and white children,” Human Biology, vol. 50, no. 3, pp. 261–280, 1978. View at Scopus
  28. R. Roubenoff, J. J. Kehayias, B. Dawson-Hughes, and S. B. Heymsfield, “Use of dual-energy x-ray absorptiometry in body-composition studies: not yet a ‘gold standard’,” American Journal of Clinical Nutrition, vol. 58, no. 5, pp. 589–591, 1993. View at Scopus
  29. J. Kim, Z. Wang, S. B. Heymsfield, R. N. Baumgartner, and D. Gallagher, “Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method,” American Journal of Clinical Nutrition, vol. 76, no. 2, pp. 378–383, 2002. View at Scopus
  30. T. J. Cole, M. C. Bellizzi, K. M. Flegal, and W. H. Dietz, “Establishing a standard definition for child overweight and obesity worldwide: international survey,” British Medical Journal, vol. 320, no. 7244, pp. 1240–1243, 2000. View at Scopus
  31. J. C. K. Wells, J. E. Williams, S. Chomtho et al., “Pediatric reference data for lean tissue properties: density and hydration from age 5 to 20 y,” American Journal of Clinical Nutrition, vol. 91, no. 3, pp. 610–618, 2010. View at Publisher · View at Google Scholar · View at Scopus
  32. E. M. Gonçalves, A. M. Silva, D. A. Santos et al., “Accuracy of anthropometric measurements in estimating fat mass in individuals with 21-hydroxylase deficiency,” Nutrition, vol. 28, no. 10, pp. 984–990, 2012. View at Publisher · View at Google Scholar
  33. M. I. Goran, P. Driscoll, R. Johnson, T. R. Nagy, and G. Hunter, “Cross-calibration of body-composition techniques against dual-energy X-ray absorptiometry in young children,” American Journal of Clinical Nutrition, vol. 63, no. 3, pp. 299–305, 1996. View at Scopus
  34. D. J. Hoffman, T. Toro-Ramos, A. L. Sawaya, S. B. Roberts, and P. Rondo, “Estimating total body fat using a skinfold prediction equation in Brazilian children,” Annals of Human Biology, vol. 39, no. 2, pp. 156–160, 2012. View at Publisher · View at Google Scholar
  35. T. T. K. Huang, M. S. Johnson, B. A. Gower, and M. I. Goran, “Effect of changes in fat distribution on the rates of change of insulin response in children,” Obesity Research, vol. 10, no. 10, pp. 978–984, 2002. View at Scopus
  36. G. A. Bray, J. P. De Lany, J. Volaufova, D. W. Harsha, and C. Champagne, “Prediction of body fat in 12-y-old African American and white children: evaluation of methods,” American Journal of Clinical Nutrition, vol. 76, no. 5, pp. 980–990, 2002. View at Scopus
  37. J. A. Morrison, S. S. Guo, B. Specker, W. C. Chumlea, S. Z. Yanovski, and J. A. Yanovski, “Assessing the body composition of 6–17-year-old black and white girls in field studies,” American Journal of Human Biology, vol. 13, no. 2, pp. 249–254, 2001.
  38. C. V. Dezenberg, T. R. Nagy, B. A. Gower, R. Johnson, and M. I. Goran, “Predicting body composition from anthropometry in pre-adolescent children,” International Journal of Obesity, vol. 23, no. 3, pp. 253–259, 1999. View at Scopus
  39. R. J. Toombs, G. Ducher, J. A. Shepherd, and M. J. De Souza, “The impact of recent technological advances on the trueness and precision of DXA to assess body composition,” Obesity, vol. 20, no. 1, pp. 30–39, 2011.