Body composition of elderly women with type 2 diabetes: anthropometry vs dual-energy X-ray absorptiometry

Authors

  • Waléria Christiane Rezende FETT Universidade Federal de Mato Grosso
  • Carlos Alexandre FETT Universidade Federal de Mato Grosso
  • Júlio Sergio MARCHINI Universidade de São Paulo
  • Júlio Cesar MORIGUTI Universidade de São Paulo
  • Eduardo FERRIOLLI Universidade de São Paulo

Keywords:

Body composition, Diabetes mellitus, type 2, Aged

Abstract

Objective
This study aimed to compare anthropometry with dual-energy X-ray absorptiometry for estimating the body composition of elderly women with type 2 diabetes.

Methods
The body composition of 51 volunteers aged 60 to 70 years, with body mass indices ranging from 19 and 43kg/m2, was determined by anthropometry (triceps, suprailiac and thigh skinfold thicknesses) and dual-energy X-ray, which is considered the gold standard. The Bland-Altman limits of agreement were the standard deviations of the dual-energy X-ray coefficient of variation and the anthropometric values should be in this range. The means were compared by the Student’s t-test followed by the Pearson’s correlation.

Results
Limits of agreement: weight (W, kg) M=0.3, SD=0.1, lean body mass (lear body mass, kg) M=3.0, SD=1.9; fat body mass (fat body mass, kg) M=5.0, SD=3.1, percentage of body fat (% body fat) M=5.0, SD=3.1. The means of the two methods were the same and within the limits of agreement. Anthropometry tended to overestimate lear body mass by 2.31 kg and underestimate fat body mass and % BF by -0.93 kg and -2.7%, respectively. The estimates correlated significantly (W, r=0.99; lear body mass, r=0.79; fat body mass, r=0.93; % body fat, r=0.72; p<0.0001).

Conclusion
The anthropometric and dual-energy x-ray results were consistent. Although some lear body mass and % body fat results were beyond the limits of agreement, the others were within. Therefore, anthropometry can be used to assess the body composition of this population. 

Downloads

Download data is not yet available.

References

Reaven GM. Banting lecture: role of insulin resistance in human disease. Diabetes. 1988; 37(12):1595-607. doi:10.1016/0899-9007(97)908789.

Hays NP, Galassetti PR, Coker RH. Prevention and treatment of type 2 diabetes: current role of lifestyle, natural product, and pharmacological interventions. Pharmacol Ther. 2008; 118(2):181-91. doi:10.1016/j.pharmthera.2008.02.003.

Horton E, Cefalu WT, Haines ST, Siminerio LM. Multidisciplinary interventions: mapping new horizons in diabetes care. Diabetes Educ. 2008; 34(Suppl4):78S-89S. doi: 10.1177/0145721708321148.

Sartorelli DS, Franco LJ. ências do diabetes mellitus no Brasil: o papel da transição nutricional. Cad Saúde Pública. 2003; 19(1):29-36. doi:10.1590/S0102-311X2003000700004.

Wild S, Roglic G, Green A, Sicree S, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004; 27(5):1047-53. doi:10.2337/diacare.27.5.1047.

Malerbi DA, Franco LJ. Multicenter study of the prevalence of diabetes mellitus and impaired glucose tolerance in the urban Brazilian population aged 30-69 yr. The Brazilian Cooperative Group on the Study of Diabetes Prevalence. Diabetes Care. 1992; 15(11):1509-16. doi:10.2337/diacare.15.11.1509.

Torquato MT, Montenegro Júnior RM, Viana LA, de Souza RA, Lanna CM, Lucas JC, et al. Prevalence of diabetes mellitus and impaired glucose tolerance in the urban population aged 30-69 years in Ribeirão Preto (São Paulo), Brazil. São Paulo Med J. 2003; 121(6):224-30. doi:10.1590/S1516-31802003000600002.

Rodrigues Barbosa A, Santarém JM, Jacob Filho W, Meirelles ES, Nunes Marucci MF. Comparação da gordura corporal de mulheres idosas segundo antropometria, bioimpedância e DEXA. Arch Latinoam Nutr. 2001; 51(1):49-56.

King H, Rewers M. Global estimates for prevalence of diabetes mellitus and impaired glucose tolerance in adults. Diabetes Care. 1993; 16(1):157-77. doi: 10.2337/diacare.16.1.157.

Villareal DT, Banks M, Siener C, Sinacore DR, Klein S. Physical frailty and body composition in obese elderly men and women. Obes Res. 2004; 12(6): 913-20. doi: 10.1038/oby.2004.111.

Genton L, Hans D, Kyle UG, Pichard C. Dual-energy X-ray absorptiometry and body composition: differences between devices and comparison with reference methods. Nutrition. 2002; 18(1):66-70. doi:10.1016/S0899-9007(01)00700-6.

Svendsen OL. Should measurement of body composition influence therapy for obesity? Acta Diabetol. 2003; 40(1):S250-3. doi:10.1007/s00592-003-0078-y.

Visser M, Fuerst T, Lang T, Salamone L, Harris TB. Validity of fan-beam dual-energy X-ray absorptiometry for measuring fat-free mass and leg muscle mass. J Appl Physiol. 1999; 87(4): 1513-20.

Ball SD, Altena TS, Swan PD. Comparison of anthropometry to DXA: a new prediction equation for men. Eur J Clin Nutr. 2004; 58(11):1525-31. doi:10.1038/sj.ejcn.1602003.

Salamone LM, Fuerst T, Visser M, Kern M, Lang T, Dockrell M, et al. Measurement of fat mass using DXA: a validation study in elderly adults. J Appl Physiol. 2000; 89(1):345-52.

Pollock ML, Schmidt DH, Jackson AS. Measurement of cardio respiratory fitness and body composition in the clinical setting. Comp Ther. 1980; 6(9):12-27.

Fett CA, Fett WCR, Oyama SR, Marchini JS. Composição corporal e somatótipo de mulheres com sobrepeso e obesas pré e póstreinamento em circuito ou caminhada. Rev Bras Med Esporte 2006;12(1):45-50. doi:10.1590/S1517-86922006000100009.

Siri SE. Body composition from fluid spaces and density: analysis of methods. In: Brozek J, Henschel A, editors. Techniques for measuring body composition. Washington, DC: National Academy of Sciences, National Research Council; 1961. p. 223-244.

Dawson B, Trapp RG. Basic and clinical biostatistics. 2nd ed. Connecticut: McGraw-Hill; 1994. p.82-97, 99-122, 162-183.

Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 327(8476): 307-10. doi:10.1016/S0140-6736(86)90837-8.

Heymsfield SD, Nunez C, Testolin C, Gallagher D. Anthropometry and methods of body composition measurement for research and field application in the elderly. Eur J Clin Nutr. 2000; 54(3):S26-32.

De Lorenzo A, Bertini I, Candeloro N, Iacopino L, Andreoli A, Van Loan MD. Comparison of different techniques to measure body composition in moderately active adolescents. Br J Sports Med. 1998; 32(3):215-9. doi:10.1136/bjsm.32.3.215.

Shaw KA, Srikanth VK, Fryer JL, Blizzard L, Dwyer T, Venn AJ. Dual energy X-ray absorptiometry body composition and aging in a population-based older cohort. Int J Obes. 2007; 31(2):279-84. doi:10.1038/sj.ijo.0803417.

Minderico CS, Silva AM, Teixeira PJ, Sardinha LB, Hull HR, Fields DA. Validity of air-displacement plethysmography in the assessment of body composition changes in a 16-month weight loss program. Nutr Metab. 2006; 3:32. doi:10.1186/1743-7075-3-32.

Hosking J, Metcalf BS, Jeffery AN, Voss LD, Wilkin TJ. Validation of foot-to-foot bioelectrical impedance analysis with dual-energy X-ray absorptiometry in the assessment of body composition in young children: the Early Bird cohort. Br J Nutr. 2006; 96(6):1163-8. doi:10.1017/BJN20061960.

Neovius M, Hemmingsson E, Freyschuss B, Udden J. Bioelectrical impedance underestimates total and truncal fatness in abdominally obese women. Obesity. 2006; 14(10):1731-8. doi:10.1038/oby.2006.199.

Published

2010-10-30

How to Cite

Rezende FETT, W. C. ., FETT, C. A. ., MARCHINI, J. S., MORIGUTI, J. C., & FERRIOLLI, E. (2010). Body composition of elderly women with type 2 diabetes: anthropometry vs dual-energy X-ray absorptiometry. Brazilian Journal of Nutrition, 23(5). Retrieved from https://periodicos.puc-campinas.edu.br/nutricao/article/view/9405

Issue

Section

ORIGINAL ARTICLE