Authors: BJ Kim S H Ahn H M Kim S H Lee JM Koh
Publish Date: 2014/11/13
Volume: 26, Issue: 2, Pages: 737-747
Abstract
Data gathered from a nationally representative cohort demonstrated that subject with low skeletal muscle mass had consistently low femoral neck composite strength indices for compression bending and impact especially in older women supporting the highly integrated nature of skeletal muscle and boneThis is a populationbased crosssectional study from Korea National Health and Nutrition Examination Surveys including 1275 Koreans 674 women and 601 men aged 50 years or older Femoral neck axis length and width were measured by hip DXA scans and were combined with BMD body weight and height to create composite indices of femoral neck strength relative to load in three different failure modes compression bending and impact Presarcopenia was defined as an appendicular skeletal muscle mass ASM divided by body weight that was less than 1 SD below the sexspecific mean for young adultsAfter adjusting for confounders women with presarcopenia had consistently lower indices for compression strength CSI bending strength BSI and impact strength ISI than women without this condition Men with presarcopenia had a lower ISI value than men without presarcopenia Multiple regression analyses revealed that lower relative skeletal muscle mass ASM/weight associated significantly with lower values for all three femoral neck composite indices in women and with lower CSI and ISI in menThese findings provide the first clinical evidence for the notion that agerelated low muscle mass may increase the risk of osteoporotic hip fractures by decreasing femoral neck strength relative to load especially in older women and support the highly integrated nature of skeletal muscle and boneDifferences for the composite indices of femoral neck strength according to presarcopenia status in the subgroup with women available for menopause status n = 514 The information about years since menopause YSM was additionally included in the multivariable adjustment model as a covariate Values are presented as the estimated mean with 95 confidence intervals CIs after adjustment for confounders using analysis of covariance ANCOVA Multivariable model adjustment for age BMI smoking drinking and exercise habits the presence of diabetes serum 25OHD level and calcium and phosphorus intake GIF 39 kb
Keywords: