Abstract
The aim of this study was to examine the gender-specific association between sarcopenia and bone geometry/metabolic parameters. Low muscle mass was associated with greater deterioration of bone than in deterioration of glucose or lipid profiles. This bone-muscle relationship was more prominent in men than in women. Introduction: There are few studies that report on gender differences in the effects of low muscle mass on bone and metabolic parameters in elderly subjects. This study aimed to assess the gender-specific influence of muscle mass on bone and metabolic parameters. Methods: A total of 2,264 participants (940 men and 1,324 women) whose age ranged from 65 to 92 years were analyzed using data from The Fourth Korea National Health and Nutrition Examination Surveys (2008-2009). We measured bone mineral density (BMD) and appendicular muscle mass using the dual-energy X-ray absorptiometry and also measured metabolic profiles. Results: The age-related trend in bone and muscle coincided in men but not in women. Femoral neck (FN) and total hip (TH) BMD were highly correlated with muscle mass in both genders. However, in women, this correlation was not significant in the lumbar spine (LS). In addition, this positive correlation was stronger in the FN or TH than in the LS and was stronger in men than in women. Subjects with sarcopenia were at a higher risk for osteoporosis in the FN, TH, and LS in men, and in the TH and FN in women. The degree of association between muscle mass and metabolic profiles was relatively very weak. Conclusion: Bone-muscle relationship was more prominent in men than in women. The gender differences in bone-muscle relationship may be helpful for the development of gender-specific preventive strategies in the elderly, especially in men.
Original language | English |
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Pages (from-to) | 1053-1061 |
Number of pages | 9 |
Journal | Osteoporosis International |
Volume | 25 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2014 Mar |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation (NRF) of Korea grant funded by the Korea government (MEST) (No. 20110001024).
All Science Journal Classification (ASJC) codes
- Endocrinology, Diabetes and Metabolism