Relationship between physical functional status indicators and bone mineral density in older women

老年女性身体功能状态指标与骨矿物质密度之间的关系

阅读:1

Abstract

BACKGROUND: Osteoporosis significantly predisposes patients to fragility fractures and a reduced quality of life. Therefore, osteoporosis prevention plays an important role in extending healthy life expectancy. The purpose of this study was to identify whether physical functional status was associated with low bone mineral density, and to determine cut-off values of physical status indicators for osteoporosis. METHODS: This cross-sectional study evaluated 343 women aged 60 years or older who were able to walk independently. The measured variables were the body mass index, lumbar and total hip bone mineral density, grip strength, 5-m normal walking speed, one-leg standing time, timed up-and-go test, and skeletal muscle mass using bioelectrical impedance analysis. The associations between physical status indicators and low bone mineral density were analyzed and the cut-off values for detecting osteoporosis were calculated using receiver operating characteristic curve analyses. RESULTS: The prevalence of osteoporosis was 29.2 %. All measured variables significantly differed between the osteoporotic and non-osteoporotic groups (p < 0.05). Multivariate logistic regression analysis showed that the factors associated with osteoporosis were the skeletal muscle mass index, walking speed, and body mass index. In the receiver operating characteristic curve analysis, the cut-off values of the skeletal muscle mass index, walking speed, and body mass index associated with osteoporosis were 6.31 kg/m(2), 1.29 m/s, and 22.6 kg/m(2), respectively. CONCLUSIONS: Older women with low bone mineral density have lower skeletal muscle mass, slower walking speed, and lower body mass index. Measuring the skeletal muscle mass index, walking speed, and body mass index might be useful for daily exercise guidance or osteoporosis screening.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。