Diabetes Metab J.  2015 Feb;39(1):37-45. 10.4093/dmj.2015.39.1.37.

Appendicular Skeletal Muscle Mass and Insulin Resistance in an Elderly Korean Population: The Korean Social Life, Health and Aging Project-Health Examination Cohort

Affiliations
  • 1Department of Public Health, Yonsei University Graduate School, Seoul, Korea.
  • 2Severance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, Korea. hckim@yuhs.ac
  • 3Department of Sociology, Yonsei University College of Social Sciences, Seoul, Korea.
  • 4Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
  • 5Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Korea.
  • 6Department of Clinical Nursing Science, Yonsei University College of Nursing, Seoul, Korea.
  • 7Division of Silver Industry, Kangnam University, Yongin, Korea.
  • 8Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea.

Abstract

BACKGROUND
Increasing evidence supports an association between age-related loss of muscle mass and insulin resistance. However, the association has not been fully investigated in the general population. Thus, we investigated the association between appendicular skeletal muscle mass (ASM) and insulin resistance in an elderly Korean population.
METHODS
This cross-sectional study included 158 men (mean age, 71.8) and 241 women (mean age, 70.6) from the Korean Social Life, Health and Aging Project, which started in 2011. In this study, ASM was measured by bioelectrical impedance analysis and was analyzed in three forms: ASM (kg), ASM/height2 (kg/m2), and ASM/weight (%). The homeostasis model assessment of insulin resistance (HOMA-IR) was used as a measure of insulin resistance. The relationships between the ASM values and the HOMA-IR were investigated by multiple linear regression models.
RESULTS
The HOMA-IR was positively associated with ASM (beta=0.43, P<0.0001) and ASM/height2 (beta=0.36, P<0.0001) when adjusted for sex and age. However, after additional adjustment for body weight, HOMA-IR was inversely associated with ASM (beta=-0.43, P<0.001) and ASM/height2 (beta=-0.30, P=0.001). Adjustment for other potential confounders did not change these associations. Conversely, HOMA-IR was consistently and inversely associated with ASM/weight before and after adjustment for other potential confounders.
CONCLUSION
Our results support the idea that lower skeletal muscle mass is independently associated with insulin resistance in older adults. When evaluating sarcopenia or muscle-related conditions in older adults, their whole body sizes also need to be considered.

Keyword

Aged; Insulin resistance; Korea; Muscle mass; Sarcopenia

MeSH Terms

Adult
Aged*
Aging*
Body Size
Body Weight
Cohort Studies*
Cross-Sectional Studies
Electric Impedance
Female
Homeostasis
Humans
Insulin Resistance*
Korea
Linear Models
Male
Muscle, Skeletal*
Sarcopenia

Figure

  • Fig. 1 Correlation between appendicular skeletal muscle mass (ASM) and homeostasis model assessment of insulin resistance (HOMA-IR). (A) ASM and HOMA-IR in 158 men (Pearson coefficient=0.281, P=0.0004). (B) ASM and HOMA-IR in 241 women (Pearson coefficient=0.250, P<0.0001). (C) ASM/height2 and HOMA-IR in 158 men (Pearson coefficients=0.287, P=0.0003). (D) ASM/height2 and HOMA-IR in 241 women (Pearson coefficient=0.255, P<0.0001). (E) ASM/weight and HOMA-R in 158 men (Pearson coefficient=-0.431, P<0.0001). (F) ASM/weight and HOMA-IR in 241 women (Pearson coefficient=-0.253, P<0.0001).


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Chan Mi Heo, Tae Jun Kim, Hyuk Lee, Jeung Hui Pyo, Yang Won Min, Byung-Hoon Min, Jun Haeng Lee, Hee Jung Son, Sun-Young Baek, Kyunga Kim, Seungho Ryu, Poong-Lyul Rhee, Jae J. Kim
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