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KMID : 0828520100140030121
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Journal of the Korean Geriatrics Society
2010 Volume.14 No. 3 p.121 ~ p.130
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Investigation of Sarcopenia and Its Association with Cardiometabolic Risk Factors in Elderly Subjects
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Kim Jung-Hee
Hwangbo Yul
Hong Eun-Shil
Ohn Jung-Hun
Kim Chi-Hoon
Kim Hye-Won
Ahn Hwa-Young
Yoon Ji-Won
Kang Seon-Mee
Park Young-Joo
Jang Hak-Chul
Lim Soo
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Abstract
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Background: The aim of this study was to investigate sarcopenia and its association with cardiometabolic risk factors in a community-based elderly cohort in Korea.
Methods: We recruited 287 men and 278 women aged 65 years or older and without physical disability. Appendicular skeletal muscle mass (ASM) was measured with dual energy X-ray absorptiometry. We used two definitions for sarcopenia-ASM divided by height2 (kg/m2) or by weight (%) <1 SD below the sex-specific mean for young adults. We compared RBP-4, adiponectin, hsCRP, lipid profiles, and insulin resistance between the sarcopenic and normal groups using ASM/Ht2 and ASM/Wt.
Results: The prevalence of sarcopenia was 35.3% in men and 13.4% in women with sarcopenia defined by ASM/Ht2. However, it was 38.3% in men and 62.6% in women by ASM/Wt. In correlation analysis, body mass index was positively correlated with ASM/Ht2 and negatively correlated with ASM/Wt. The sarcopenic group, when defined as ASM/Ht2, showed lower RBP4, fasting plasma glucose, and HOMA-IR and higher adiponectin than the normal group but not significantly different lipid profiles. The sarcopenic group defined by ASM/Wt had higher RBP4, fasting plasma glucose, and HOMA-IR, and lower adiponectin than the normal group in both sexes. Only in the males did the sarcopenic group defined by ASM/Wt reveal higher total cholesterol, triglycerides, and LDL cholesterol, and lower HDL cholesterol than the normal group.
Conclusion: In conclusion, the sarcopenic group defined by ASM/Wt was more closely associated with cardiometabolic risk factors than the normal group in a community-based elderly cohort.
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KEYWORD
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Sarcopenia, Cardiometabolic risk factors, Elderly
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