SUBCUTANEOUS FAT, BLOOD LIPIDS AND SUBSEQUENT OUTCOME

此申请是为了继续资助一个全面的 项目 这项研究将分析来自7个主要国家的现有数据。 年美国和澳大利亚的纵向增长研究 有2,400多人报名参加。 现有的交叉- 将使用来自美国几个来源的截面数据来验证 将在项目中开发的预测方程。 重要的是，新的串行数据将从近800 Fels纵向研究中的青少年和成人参与者， 扩展序列记录并收集其他变量。 的 该项目的主要目的是研究人体成分的变化 随着年龄的增长，身体肥胖的自然史和跟踪， 脂肪模式，以确定和解释之间的联系， 肥胖和疾病的风险因素以及身体健康水平 活动，以评估生物电阻抗的有效性，以及 遗传因素对脂肪相关性状的影响。 这将 需要进行一些方法学研究，以改进 测量身体组成。 生物电之间的关系 阻抗测量、无脂肪质量和全身水分将 分析和公式开发，预测身体成分， 这些数据很容易获得，因此将有助于 流行病学研究。 长期目标是增加对身体成分的了解 及其与疾病风险因素的关系。 这项工作意义重大， 与预防措施的适当时机有关。 目前， 如果长期判断， 间隔，特别是当单一治疗模式应用于 一组不同的条件。 拟议的研究将 帮助在人体测量学的基础上对肥胖进行分类， 身体组成和持久性。 青春期身体变化 风险因素之间的关系 青春期和成年期将进行检查。 一些计划 分析涉及的变化与年龄之间的关联 尤其是在儿童中。 其他 分析涉及风险因素之间的关联，例如，血浆 脂质，以及身体肥胖程度和类型的变化， 试图确定与身体相关的性状的遗传决定因素， 肥胖

This application is for continued funding of a comprehensive project. This study will analyze existing data from 7 major longitudinal growth studies in the United States and Australia in which more than 2,400 individuals were enrolled. Existing cross- sectional data from several U.S. sources will be used to validate prediction equations that will be developed in the project. Important, new serial data will be collected from almost 800 juvenile and adult participants in the Fels Longitudinal Study to extend the serial records and collect additional variables. The major aims of the project are to study changes in body composition with age, the natural history and tracking of body fatness and of fat patterns, to determine and explain the association between fatness and risk factors for disease and levels of physical activity, to evaluate the validity of bioelectric impedance, and the influence of genetic factors on fat-related traits. This will require some methodological studies to improve the way in which body composition is measured. The relations between bioelectric impedance measurements, fat-free mass and total body water will be analyzed and equations developed that predict body composition from data that are easy to obtain and will, therefore, be useful in epidemiologic studies. The long-term goal is to increase understanding of body composition in human beings and its association with risk factors for disease. This work is highly significant and should provide information relevant to the proper timing of preventive measures. Currently, the management of obesity is often inefficient, if judged over long intervals, particularly when a single treatment mode is applied to a heterogenous group of conditions. The proposed research will assist the categorization of obesity on the basis of anthropometry, body composition and persistence. Pubescent changes in body composition and the relationships between risk factors during pubescence and in adulthood will be examined. Some planned analyses pertain to changes with age in the associations between body fatness and frame size particularly in children. Other analyses concern associations between risk factors, e.g., plasma lipids, and variations in the degree and types of body fatness and attempts to identify genetic determinants of traits related to body fatness.