Suppr超能文献

衰老与身体组成:未来研究的可能性

Aging and body composition: possibilities for future studies.

作者信息

Kehayias J J

机构信息

U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111.

出版信息

J Nutr. 1993 Feb;123(2 Suppl):454-8. doi: 10.1093/jn/123.suppl_2.454.

Abstract

Three approaches are being taken to the development of techniques for measuring body composition: 1) improving present methods, 2) formulating and devising new body composition measuring techniques and 3) focusing on specific problems of body composition changes in aging. The improvement of multi-frequency bioelectrical impedance, computerized tomography, magnetic resonance and dual-photon absorptiometry imaging belong under the first category. Recent developments in low radiation exposure measurement of body carbon and oxygen by neutron inelastic scattering and body protein by gamma-ray resonance are examples of new technology applied to the direct assessment of body composition of the elderly. The third category remains the most important one and should motivate the evolution of existing methods and the development of new. Current questions focus on distribution of regional body fat and its role in cardiovascular diseases and the depletion of lean body mass with age and its relation to functional capacity, quality of life and resistance to injury or disease. The relationship between the distribution of fat, the depletion of muscle tissue and changes in cellular function with age will become the focus of the future studies of body composition.

摘要

目前正在采用三种方法来开发测量身体成分的技术

1)改进现有方法;2)制定和设计新的身体成分测量技术;3)关注衰老过程中身体成分变化的具体问题。多频生物电阻抗、计算机断层扫描、磁共振和双能光子吸收成像的改进属于第一类。通过中子非弹性散射测量身体碳和氧以及通过伽马射线共振测量身体蛋白质的低辐射暴露测量方面的最新进展,是应用于直接评估老年人身体成分的新技术实例。第三类仍然是最重要的一类,应该推动现有方法的改进和新方法的开发。当前的问题集中在身体局部脂肪的分布及其在心血管疾病中的作用,以及随着年龄增长瘦体重的减少及其与功能能力、生活质量和对损伤或疾病的抵抗力的关系。脂肪分布、肌肉组织消耗与细胞功能随年龄变化之间的关系将成为未来身体成分研究的重点。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验