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KMID : 1039620150050000111
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Korean Journal of Family Practice
2015 Volume.5 No. 0 p.111 ~ p.116
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The association between insufficient muscle mass estimated from bioelectrical impedance analysis and insulin resistance in adults.
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Jung Sin-A
Choi Hee-Jeong
Yu Kern-Ho
Jang Hye-Yeon
Sul-Bit Cho
Park Si-Young
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Abstract
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Background : Muscle is one of the primary site for insulin action that plays a role in maintenance of systemic metabolism. Sarcopenia, decrease of muscle mass and strength, occurs by aging and physical inactivity. Several studies have examined the relationship between sarcopenia and physical inability, metabolic disorder, cardiovascular disease in elderly. In this study, we aimed to investigate the association between muscle mass deficit estimated from body composition analysis and insulin resistance in young adults.
Methods : This is a cross-sectional study involving 406 adults aged over 19 to below 65 who visited Health Promotion Center. Physical examinations, bioelectrical impedance analysis and laboratory tests including serum fasting glucose, insulin levels were performed. Partial correlation analysis was done to identify the associated variables of high homeostatic model assessment-insulin resistance(HOMA-IR). Multivariate linear regression analysis was done to identify the major predictors of HOMA-IR. Univariate analysis of variance was used to estimate the corrected means of muscle mass deficit.
Results : HOMA-IR and muscle mass deficit significantly had a positive partial correlation(r=0.243). Insufficient muscle mass had influence on the HOMA-IR after adjusting age, sex, body mass index, waist circumference and other variables(R2=0.501). The corrected means of muscle mass deficit after adjusting variables showed significant difference between two groups, higher in high HOMA-IR(≥2) group than in normal group(P<0.001).
Conclusion : The muscle mass deficit estimated from bioelectrical impedance analysis was a dependent factor affected insulin resistance in adults. This suggests that we can predict the insulin resistance by the muscle mass deficit estimated from body composition analysis.
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KEYWORD
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Muscles, Insulin Resistance, bioelectrical impedance analysis
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