Correlation between skeletal muscle mass index and parameters of respiratory function and muscle strength in young healthy adults according to gender

根据性别分析年轻健康成年人骨骼肌质量指数与呼吸功能和肌肉力量参数之间的相关性

阅读:1

Abstract

[Purpose] The purpose was to determine the correlation between the skeletal muscle mass index and parameters of respiratory function and muscle strength in young healthy adults as predictors of sarcopenia in association with aging and respiratory diseases. [Participants and Methods] Participants were 41 males and 37 females with a mean age of 19.5 ± 1.5 years. The following were measured: body composition (skeletal muscle mass index), respiratory function (vital capacity, inspiratory reserve volume, expiratory reserve volume, inspiratory capacity, forced vital capacity, one-second forced expiratory volume, peak expiratory flow rate), and respiratory muscle strength (maximum inspiratory pressure, maximum expiratory pressure). Correlations between the skeletal muscle mass index and parameters of respiratory function and respiratory muscle strength were assessed using Pearson's coefficient. [Results] The total skeletal muscle mass index showed a positive correlation with all items. The male skeletal muscle mass index showed a positive correlation with respiratory function excluding inspiratory reserve volume, expiratory reserve volume, maximum inspiratory pressure, and maximum expiratory pressure. The female skeletal muscle mass index showed a positive correlation with all respiratory functions including inspiratory reserve volume and expiratory reserve volume, but was not associated with respiratory muscle strength. [Conclusion] The skeletal muscle mass index showed a positive correlation with respiratory function and respiratory muscle strength. Gender-based features were correlated with respiratory muscle strength in males and lung capacity in females.

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。