AI Article Synopsis

  • Sarcopenia, or loss of muscle mass, may increase the risk of metabolic syndrome beyond what waist circumference alone indicates, as seen in a study of 6832 adults.
  • In men with normal waist circumference, those with sarcopenia had a nearly 3.5 times higher risk of metabolic syndrome compared to those without.
  • Similarly, sarcopenic women with high waist circumference had a 2.5 times greater risk of the syndrome, highlighting that sarcopenia contributes additional risk factors for metabolic issues beyond just abdominal obesity.

Article Abstract

Background & Aims: It is unclear whether sarcopenia contributes to the prediction of metabolic dysregulations in addition to that predicted by waist circumference.

Methods: Subjects consisted of 6832 adult participants in the 2009 Korea National Health and Nutrition Examination Survey, grouped into categories of waist circumference (normal vs. high). Sarcopenia was assessed by appendicular skeletal muscle mass divided by weight.

Results: In the normal waist circumference category, the risk of metabolic syndrome was nearly 3.5-fold higher in sarcopenic men (OR, 3.39; 95% CI, 1.67-6.90) than in those without sarcopenia. For the high waist circumference category, the risk of metabolic syndrome was 2.5-fold higher in sarcopenic women (OR, 2.37; 95% CI, 1.66-3.40) than in those without sarcopenia. The corresponding risk was also higher in sarcopenic men (OR, 1.81; 95% CI, 1.11-2.94) than in those without sarcopenia. With the exception in men with high waist circumference category, adjustments for other potential confounders did not substantially affect the results. Appendicular skeletal muscle mass divided by weight as a continuous variable was also associated with metabolic syndrome in men (OR, 0.39; 95% CI, 0.35-0.44) and women (OR, 0.53; 95% CI, 0.48-0.60).

Conclusions: Sarcopenia is associated with metabolic syndrome in men with normal waist circumference and women with high waist circumference. Our results emphasize that sarcopenia may contribute additionally to the risk of metabolic abnormalities beyond what is predicted by the abdominal obesity category.

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Source
http://dx.doi.org/10.1016/j.clnu.2013.08.008DOI Listing

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