Suppr超能文献

Maximum voluntary activation in nonfatigued and fatigued muscle of young and elderly individuals.

作者信息

Stackhouse S K, Stevens J E, Lee S C, Pearce K M, Snyder-Mackler L, Binder-Macleod S A

机构信息

Interdisciplinary Graduate Program in Biomechanics and Movement Sciences, University of Delaware, Newark 19716, USA.

出版信息

Phys Ther. 2001 May;81(5):1102-9.

Abstract

BACKGROUND AND PURPOSE

Researchers studying central activation of muscles in elderly subjects (> or = 65 years of age) have investigated activation in only the nonfatigued state. This study examined the ability of young and elderly people to activate their quadriceps femoris muscles voluntarily under both fatigued and nonfatigued conditions to determine the effect of central activation failure on age-related loss of force.

SUBJECTS AND METHODS

Twenty young subjects (11 men, 9 women; mean age = 22.67 years, SD = 4.14, range = 18-32 years) and 17 elderly subjects (8 men, 9 women; mean age = 71.5 years, SD = 5.85, range = 65-84 years) participated in this study. Subjects were seated on a dynamometer and stabilized. Central activation was quantified, based on the change in force produced by a 100-Hz, 12-pulse electrical train that was delivered during a 3- to 5-second isometric maximum voluntary contraction (MVC) of the quadriceps femoris muscle. Next, subjects performed 25 MVCs (a 5-second contraction with 2 seconds of rest) to fatigue the muscle. During the last MVC, central activation was measured again.

RESULTS

In the nonfatigued state, elderly subjects had lower central activation than younger subjects. In the fatigued state, this difference became larger.

DISCUSSION AND CONCLUSION

Central activation of the quadriceps femoris muscle in elderly subjects was reduced in both the fatigued and nonfatigued states when compared with young subjects. Some part of age-related weakness, therefore, may be attributed to failure of central activation in both the fatigued and nonfatigued states.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验