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Assessment of sarcopenia: longitudinal versus cross sectional body composition data

Aging Clinical and Experimental Research volume 19, pages 295–299 (2007)Cite this article

Abstract

Background and aims: An accurate diagnosis of sarcopenia is required. The aim of this study is to correlate the results of two methods to define sarcopenia using cross sectional body composition data, with actual loss of fat free mass. Methods: Healthy older subjects (926 females and 381 males aged 70 years or more) and healthy young adults (425 females and 151 males aged 20 to 40 years) were studied. Body composition was assessed by double beam X ray absorptiometry (DEXA). Among older subjects, a contemporary subsample of 148 females and 45 males had two or more measurements, separated by 4.8±1.5 years and loss of fat free mass per year was calculated. In the whole sample, total and appendicular lean body mass index were calculated as total or appendicular lean body mass/height. Using data from young people, sex specific t scores were obtained. In older subjects residuals were derived from a regression equation, using total or appendicular fat free mass as the dependent variable and height, fat free mass and age as independent variables. Results: The concordance between residuals and t scores to define sarcopenia was 68 and 72%, respectively. Among subjects with two or more measurements, men and women lost a mean of 521±454 and 221±399 g/year of fat free mass, respectively. The odds ratio of losing more than 822 g lean body mass/year among men or 514 g lean body mass/year among women was 2.63 and 2.64 for subjects classified in the two lowest quintiles of sarcopenia, using t scores or residuals, respectively. Conclusions: Cross sectional body composition data can predict loss of fat free mass among older people.

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References

  1. Bales CW, Ritchie CS. Sarcopenia, weight loss, and nutritional frailty in the elderly. Annu Rev Nutr 2002; 22: 309–23.

    PubMed  Article  CAS  Google Scholar 

  2. Davison KK, Ford ES, Cogswell ME, Dietz WH. Percentage of body fat and body mass index are associated with mobility limitations in people aged 70 and older from NHANES III. J Am Geriatr Soc 2002; 50: 1802–9.

    PubMed  Article  Google Scholar 

  3. Janssen I, Heymsfield SB, Ross R. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr Soc 2002; 50: 889–96.

    PubMed  Article  Google Scholar 

  4. Visser M, Kritchevsky SB, Goodpaster BH, et al. Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70 to 79: the health, aging and body composition study. J Am Geriatr Soc 2002; 50: 897–904.

    PubMed  Article  Google Scholar 

  5. Visser M, Pahor M, Tylavsky F, et al. One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women.. J Appl Physiol 2003; 94: 2368–74.

    PubMed  Article  Google Scholar 

  6. Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998; 147: 755–63.

    PubMed  Article  CAS  Google Scholar 

  7. Melton LJ 3rd, Khosla S, Crowson CS, O’Connor MK, O’Fallon WM. Riggs BL. Epidemiology of sarcopenia. J Am Geriatr Soc 2000; 48: 625–30.

    Google Scholar 

  8. Newman AB, Kupelian V, Visser M, et al. Sarcopenia: alternative definitions and associations with lower extremity function. J Am Geriatr Soc 2003; 51: 1602–9.

    PubMed  Article  Google Scholar 

  9. Visser M, Goodpaster BH, Kritchevsky SB, et al. Muscle mass, muscle strength, and muscle fat infiltration as predictors of incident mobility limitations in well-functioning older persons. J Gerontol A Biol Sci Med Sci 2005; 60: 324–33.

    PubMed  Article  Google Scholar 

  10. Bunout D, Barrera G, Avendano M, et al. Results of a community-based weight-bearing resistance training programme for healthy Chilean elderly subjects. Age Ageing 2005; 34: 80–3.

    PubMed  Article  Google Scholar 

  11. Gajardo H, Barrera G. Control de calidad de la densitometría ósea: precisión, reproducibilidad y aplicación clínica. Rev Med Chile 1998; 126: 56–62.

    PubMed  CAS  Google Scholar 

  12. Cohn P, Rothhammer F, Cruz-Coke R. Correlación entre estructura génica y estratificación social en Chile. Rev Med Chile 1985; 113: 470–1.

    PubMed  CAS  Google Scholar 

  13. Georgiou E, Virvidakis K, Douskas G, et al. Body composition changes in chronic hemodialysis patients before and after hemodialysis as assessed by dual-energy x-ray absorptiometry. Metabolism 1997; 46: 1059–62.

    PubMed  Article  CAS  Google Scholar 

  14. Konings CJ, Kooman JP, Schonck M, et al. Influence of fluid status on techniques used to assess body composition in peritoneal dialysis patients. Perit Dial Int 2003; 23: 184–90.

    PubMed  Google Scholar 

  15. Williams JE, Wells JC, Wilson CM, Haroun D, Lucas A, Fewtrell MS. Evaluation of Lunar Prodigy dual-energy X-ray absorptiometry for assessing body composition in healthy persons and patients by comparison with the criterion 4-component model. Am J Clin Nutr 2006; 83: 1047–54.

    PubMed  CAS  Google Scholar 

  16. Albala C, Vio F, Kain J, Uauy R. Nutrition transition in Latin America: the case of Chile. Nutr Rev 2001; 59: 170–6.

    PubMed  Article  CAS  Google Scholar 

  17. Sorkin JD, Muller DC, Andres R. Longitudinal change in height of men and women: implications for interpretation of the body mass index: the Baltimore Longitudinal Study of Aging. Am J Epidemiol 1999; 150: 969–77.

    PubMed  Article  CAS  Google Scholar 

  18. The World Health Organization (WHO) study group on Osteoporosis. Assessment of fracture risk and its application to screening for osteoporosis. World Health Organization, Geneva, Switzerland, 1994.

  19. Bunout D, Barrera G, De La Maza T, et al. Lean and fat mass as determinants of muscle strength and insulin sensitivity in Chilean elderly subjects. J Nutr Health Aging 2004; 8: 374–8.

    PubMed  CAS  Google Scholar 

  20. Cesari M, Kritchevsky SB, Baumgartner RN, et al. Sarcopenia, obesity, and inflammation — results from the Trial of Angiotensin Converting Enzyme Inhibition and Novel Cardiovascular Risk Factors study. Am J Clin Nutr 2005; 82: 428–34.

    PubMed  CAS  Google Scholar 

  21. Visser M, Kritchevsky SB, Newman AB, et al. Lower serum albumin concentration and change in muscle mass: the Health, Aging and Body Composition Study. Am J Clin Nutr 2005; 82: 531–7.

    PubMed  CAS  Google Scholar 

  22. Visser M, Deeg DJ, Lips P. Longitudinal Aging Study Amsterdam. Low vitamin D and high parathyroid hormone levels as determinants of loss of muscle strength and muscle mass (sarcopenia): the Longitudinal Aging Study Amsterdam. J Clin Endocrinol Metab 2003; 88: 5766–72.

    CAS  Google Scholar 

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Affiliations

  1. INTA University of Chile, PO Box 138-11, Santiago, Chile

    Daniel Bunout MD, María Pía de la Maza, Gladys Barrera, Laura Leiva, Vivien Gattas & Sandra Hirsch

  2. Department of Medicine, Central Campus Faculty of Medicine, University of Chile, Santiago, Chile

    Daniel Bunout MD

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  1. Daniel Bunout MD
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  2. María Pía de la Maza
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  3. Gladys Barrera
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  4. Laura Leiva
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  5. Vivien Gattas
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  6. Sandra Hirsch
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Correspondence to Daniel Bunout MD.

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Bunout, D., de la Maza, M.P., Barrera, G. et al. Assessment of sarcopenia: longitudinal versus cross sectional body composition data. Aging Clin Exp Res 19, 295–299 (2007). https://doi.org/10.1007/BF03324705

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Keywords

  • Body composition
  • DEXA
  • older people
  • sarcopenia