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Related Experiment Videos

Sarcopenia: alternative definitions and associations with lower extremity function.

Anne B Newman1, Varant Kupelian, Marjolein Visser

  • 1Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA. newmana@edc.pitt.edu

Journal of the American Geriatrics Society
|December 23, 2003
PubMed
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Sarcopenia definitions vary, especially for obese individuals. Accounting for fat mass is crucial for accurately identifying sarcopenia in women and overweight or obese populations.

Area of Science:

  • Gerontology
  • Body Composition Analysis
  • Musculoskeletal Health

Background:

  • Sarcopenia, age-related loss of muscle mass and strength, is a significant health concern in older adults.
  • Accurate identification of sarcopenia is essential for targeted interventions.
  • Existing definitions of sarcopenia vary in their adjustment for body size and composition.

Purpose of the Study:

  • To compare two common sarcopenia definitions.
  • To examine the relationship between these definitions and lower extremity function and other health factors.
  • To assess the impact of obesity on sarcopenia classification.

Main Methods:

  • Observational cohort study of 2984 participants aged 70-79 from the Health Aging and Body Composition (Health ABC) Study.

Related Experiment Videos

  • Dual energy x-ray absorptiometry was used to assess appendicular lean mass.
  • Sarcopenia was classified using appendicular lean mass divided by height-squared (aLM/ht2) and appendicular lean mass adjusted for height and body fat mass (residuals).
  • Main Results:

    • Sarcopenia classification differed significantly between the two methods, particularly in obese individuals.
    • The aLM/ht2 method identified fewer overweight/obese individuals as sarcopenic compared to the residuals method.
    • In men, both sarcopenia classifications were associated with smoking, poorer health, lower activity, and impaired lower extremity function.
    • In women, sarcopenia defined by lean mass adjusted for height and fat mass showed a stronger association with functional limitations.

    Conclusions:

    • Fat mass should be considered when estimating sarcopenia prevalence, especially in women and overweight/obese individuals.
    • The choice of sarcopenia definition impacts classification and its association with health outcomes.
    • Further research is needed to refine sarcopenia diagnostic criteria for diverse populations.