Anthropometric Indices and Nutritional Assessments in the Elderly: Brazilian Perspectives

  • Aline Rodrigues Barbosa
  • Lúcia Andréia Zanette Ramos Zeni
  • Ileana Arminda Mourão Kazapi
Chapter
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Abstract

Anthropometry is a low-cost, easy-to-perform method that allows diagnosis, stratification, and monitoring of the nutritional status of the elderly, indicating that it is useful to assess the health conditions of the elderly population. Brazil is going through a rapid aging process and some studies, carried out in the last 20 years, presented the anthropometric characteristics and the nutritional status of the Brazilian elderly individuals (≥60 years). The data from the population-based and household studies have been discussed in this study. According to earlier studies, sex and age are factors that determine the anthropometric changes. The patterns of alterations with increasing age in anthropometric characteristics are similar; however, the intensity of the alterations varies between populations and studies. With increasing age, there is a reduction in the stature and body mass, which is more intense for women. In addition, there is a reduction in muscle mass and subcutaneous fat, which is greater for men and women, respectively. Along with the loss of muscle mass, there is a greater accumulation of central adiposity in women. However, after the age of 75 years, central adiposity reduction occurs more rapidly in men. Overweight or obesity is more prevalent among women and underweight is more common in men, irrespective of their age. With increasing age, there is a reduction in the prevalence of obesity and an increase in the prevalence of being underweight, which is more evident after the age of 75 years. Data from earlier studies can be used for surveillance and for planning actions that intend to prevent or improve nutritional inadequacy in the Brazilian elderly population.

Keywords

Nutritional Status Waist Circumference Muscle Mass Elderly Individual Anthropometric Characteristic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Abbreviations

AAFP

American Academy of Family Physicians

AC

Arm circumference

AMC

Arm muscle circumference

BM

Body mass

BMI

Body mass index

CC

Calf circumference

IBGE

Instituto Brasileiro de Geografia e Estatística

PNSN

National Survey on Health and Nutrition (Pesquisa Nacional sobre Saúde e Nutrição)

PAHO

Pan-American Health Organization

SABE

Survey on Health, Aging and Well being in Latin America and the Caribbean

TSF

Triceps skinfold thickness

WC

Waist circumference

WHO

World Health Organization

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References

  1. American Academy of Family Physicians, American Dietetic Association, National Council on the Aging. Nutrition screening e intervention resources for healthcare professionals working with older adults. Washington: Nutrition Screening Initiative/American Dietetic Association,; 2002. Available from: http://www.eatright.org/cps/rde/xchg/ada/hs.xsl/nutrition_nsi_ENU_HTML.htm [2008 July 21].
  2. Andres R, Elahi D, Tobin JD, Muller DC, Brant L. Ann Intern Med. 1985;103:1030–33.PubMedGoogle Scholar
  3. Barbosa AR, Souza JMP, Lebrão ML, Laurenti R, Marucci MFN. Cad Saude Publica. 2005;21:1929–38.PubMedCrossRefGoogle Scholar
  4. Barbosa AR, Souza JMP, Lebrão ML, Marucci MFN. Rev Assoc Med Bras. 2007;53:75–9.PubMedCrossRefGoogle Scholar
  5. Barreto SM, Passos VMA, Lima-Costa MFF. Cad Saúde Pública. 2003;19:605–12.PubMedCrossRefGoogle Scholar
  6. Campos MAG, Pedroso ERP, Lamounier JA, Colosimo EA, Abrante MM. Rev Assoc Med Bras. 2006;52:214–21.PubMedCrossRefGoogle Scholar
  7. Carvalho JAM, Garcia RA. Cad Saude Publica. 2003;19:725–33.PubMedCrossRefGoogle Scholar
  8. Coqueiro RS, Barbosa AR, Borgatto AF. Nutrition. 2009;25:33–9.CrossRefGoogle Scholar
  9. Friedmann JM, Elasy T, Jensen GL. J Am Geriatr Soc. 2001;9:398–403.CrossRefGoogle Scholar
  10. Guigoz Y. J Nutr Health Aging. 2006;10:466–87.PubMedGoogle Scholar
  11. Huffman GB. Am Fam Physician. 2002;65:640–50.PubMedGoogle Scholar
  12. IBGE. Projeção da População do Brasil por Sexo e Idade - 1980–2050 - Revisão 2008; 2008. Avaiable from: http://www.ibge.gov.br/home/presidencia/noticia, July 28.
  13. IBGE. Cidades; 2009. Available from http://www.ibge.gov.br/cidadesat/topwindow.htm? 1, July 30.
  14. Jensen GL, Friedemann JM, Coleman CD, Smiciklas-Wright H. Am J Clin Nutr. 2001;74:201–05.PubMedGoogle Scholar
  15. Kuczmarski MF, Kuczmarski RJ, Najjar M. J Am Diet Assoc. 2000;100:59–66.PubMedCrossRefGoogle Scholar
  16. Lean MEJ, Han TS, Morrison CE. BMJ. 1995;311:158–61.PubMedCrossRefGoogle Scholar
  17. Menezes TN, Marucci MFN. Cad Saúde Pública. 2007;23:2887–95.CrossRefGoogle Scholar
  18. Menezes TN, Souza JMP, Marucci MFN. Rev Bras Cineantropom Desempenho Hum. 2008;10:315–22.Google Scholar
  19. Ministério da Saúde. 2007. Indicadores e Dados Básicos. Brasil;. Avaiable from: http://tabnet.datasus.gov.br/cgi/idb2007/matriz.htm [2008 May 15].
  20. Ministério da Saúde. Orientações para a coleta e análise de dados antropométricos em serviços de saúde. Norma técnica – Sisvan, material preliminary; 2008.Google Scholar
  21. Munaretti DB. Importance of anthropometric indicators for hypertension in elderly of São Paulo. Florianópolis-Brazil:Thesis, Department of Physical Education/UFSC; 2009.Google Scholar
  22. Okosun IS, Rotimi CN, Forrester TE, Fraser H, Osotimehin B, Muna WF, Cooper RS. Int J Obes. 2000;24:180–6.CrossRefGoogle Scholar
  23. Perissinotto E, Pisent C, Sergi G, Grigoletto F, Enzi G. Br J Nutr. 2002;87:177–86.PubMedCrossRefGoogle Scholar
  24. Santos DM, Sichieri R. Rev Saúde Pública. 2005;39:163–68.PubMedCrossRefGoogle Scholar
  25. Santos JL, Albala C, Lera L, Garcia C, Arroyo P, Perez-Bravo F, Angel B, Peláez M. Nutrition. 2004;20:452–7.PubMedCrossRefGoogle Scholar
  26. Sergi G, Perissinotto E, Pisent C, Buja A, Maggi S, Coin A, Grigoletto F, Enzi G and for the ILSA working Group. J Gerontol A Biol Sci Med Sci. 2005;60:866–71.PubMedCrossRefGoogle Scholar
  27. Silveira EA, Kac G, Barbosa LS. Cad Saúde Pública. 2009;25:1569–77.PubMedCrossRefGoogle Scholar
  28. Sorkin JD, Muller DC, Andres R. Am J Epidemiol. 1999;150:969–77.PubMedCrossRefGoogle Scholar
  29. Stenn B. Nutr Rev. 1988;46:45–1.CrossRefGoogle Scholar
  30. Tavares EL, Anjos LA. Cad Saúde Pública. 1999;15:759–68.PubMedCrossRefGoogle Scholar
  31. Troiano RP, Frongillo Jr. EA, Sobal J, Levitsky DA. Int J Obes Relat Metab Disord. 1996;20:63–75.PubMedGoogle Scholar
  32. Velasquez-Alva MC, Irigoyen ME, Zepeda M, Sanchez VM, Garcia Cisneros MP, Castillo LM. J Nutr Health Aging. 2004;8:350–4.PubMedGoogle Scholar
  33. World Health Organization. WHO expert committee on physical status: the use and interpretation of anthropometry: report of a WHO Expert Committee. Geneva: WHO; 1995.Google Scholar
  34. World Health Organization. Global database on body mass index: an interactive surveillance tool for monitoring nutrition transition. Geneva: WHO; 2006. Available from: http://www.who.int/bmi/index.jsp?introPage=intro_3.html [2008 Jan 27].

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Aline Rodrigues Barbosa
    • 1
  • Lúcia Andréia Zanette Ramos Zeni
  • Ileana Arminda Mourão Kazapi
  1. 1.Departamento de Educação FísicaUniversidade Federal de SantaFlorianópolisBrazil

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