BODY COMPOSITION METHOD FOR THE ELDERLY

老年人身体成分方法

• 批准号: 3120176
• 负责人: RICHARD N. BAUMGARTNER
• 金额: $ 5.96万
• 依托单位: UNIVERSITY OF NEW MEXICO
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-01-15 至 1995-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3120176
• 关键词: adipose tissue; aging; body composition; body fluids; body water; diagnosis design /evaluation; electrical impedance; epidemiology; human data; human old age (65+); noninvasive diagnosis; ultrasonography

The purpose of the proposed study is to address the distinct need in epidemiologic studies for noninvasive, simple, but reliable methods for estimating body composition and patterning in elderly persons 65+ years of age. The term "body composition" refers to total body fat (TBF), the percent of weight that is fat (%BF), fat-free mass (FFM), total body water (TBW), and extra-cellular fluid (ECF). "Fat patterning" (FP) refers to the anatomical distribution of subcutaneous adipose tissue. Significant changes in body composition and fat patterning that have important health related effects occur with aging and knowledge of these changes is important for diagnoses, prognoses, and treatment of the elderly. There are few data, however, for body composition and fat patterning in the elderly because traditional methods have been difficult to apply for technical, conceptual or cost reasons. The proposed study will focus on the refinement of recumbent anthropometry, bioelectric impedance, and B-mode imaging ultrasound methods for estimating body composition and fat pattering that would be appropriate for epidemiologic studies. The underlying hypothesis of the study is that a combination of these methods can be used to estimate body composition and index fat patterning in the elderly in novel ways that circumvent factors, such as reduced mobility, that limit the application of conventional anthropometric and/or bioelectric impedance approaches. The first phase of the proposed research will involve the development and validation of methods for predicting body composition and fat pattern for a cross-sectional sample of 400 ambulatory, elderly men and women. The second phase will consist of the cross-validation of these methods using data from two independent samples.

拟议研究的目的是解决以下方面的独特需求： 流行病学研究的非侵入性、简单但可靠的方法 估计 65 岁以上老年人的身体成分和模式 年龄。术语“身体成分”是指全身脂肪（TBF）， 脂肪重量百分比 (%BF)、去脂体重 (FFM)、体内总水分 (TBW) 和细胞外液 (ECF)。 “脂肪模式”（FP）是指 皮下脂肪组织的解剖分布。重大变化 与健康相关的身体成分和脂肪模式 影响会随着衰老而发生，了解这些变化对于 老年人的诊断、预后和治疗。资料很少， 然而，对于老年人的身体成分和脂肪模式来说，因为 传统方法很难应用于技术、概念 或者成本原因。拟议的研究将侧重于细化 卧式人体测量、生物电阻抗和 B 模式成像 用于估计身体成分和脂肪分布的超声波方法 适合流行病学研究。基本假设 这项研究的重点是，这些方法的组合可以用来估计 以新颖的方式测量老年人的身体成分和指数脂肪模式 规避因素，例如限制流动性的应用 传统的人体测量和/或生物电阻抗方法。这 拟议研究的第一阶段将涉及开发和 验证预测身体成分和脂肪模式的方法 400 名流动老年男性和女性的横断面样本。第二个 阶段将包括使用来自的数据对这些方法进行交叉验证 两个独立样本。