BODY COMPOSITION METHODS FOR THE ELDERLY

拟议研究的目的是解决以下方面的明显需求 对非侵入性、简单但可靠的方法进行流行病学研究 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”指的是全身脂肪(TBF)， 脂肪重量百分比(%BF)、脱脂重量(FFM)、全身水分 (TBW)和细胞外液(ECF)。“脂肪图案化”(Fat Patterning)指 皮下脂肪组织的解剖分布。重大变化 在身体成分和脂肪模式中与重要的健康相关 影响会随着年龄的增长而发生，了解这些变化对于 老年人的诊断、预后和治疗。数据很少， 然而，对于老年人的身体成分和脂肪图案来说，因为 传统的方法已经很难应用于技术、概念 或成本方面的原因。拟议的研究将侧重于完善 卧位人体测量、生物电阻抗和B型成像 超声波法估测身体成分和脂肪模式 将适用于流行病学研究。潜在的假设 这项研究的价值在于，这些方法的组合可以用来估计 老年人的身体成分和指数脂肪模式以新颖的方式 规避限制应用的因素，如机动性降低 传统的人体测量和/或生物电阻抗方法。这个 拟议研究的第一阶段将涉及开发和 人体成分和脂肪模式预测方法的验证 对400名门诊老年男性和女性进行横断面抽样。第二 阶段将包括使用以下数据对这些方法进行交叉验证 两个独立的样本。

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.