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STATISTICAL ANALYSIS OF BODY COMPOSITION RISK FACTORS

身体成分风险因素统计分析

基本信息

批准号：
6476698
负责人：
SHUMEI S SUN
金额：
$ 20.47万
依托单位：
WRIGHT STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
1995
资助国家：
美国
起止时间：
1995-08-01 至 2004-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6476698
关键词：
body composition body weight cardiovascular disorder epidemiology child physical development clinical research computer program /software data collection methodology /evaluation disease /disorder proneness /risk human data hypertension longitudinal human study mathematical model model design /development statistics /biometry

项目摘要

DESCRIPTION: (Adapted from Applicant's Description): This proposed research is a continuation and expansion of preceding work performed by this applicant in a current project. The overall goals are to apply recent, advanced, statistical methods to studies of human body composition and risk factors for cardiovascular and related diseases. Existing data from a longitudinal study of cardiovascular disease risk factors, including body composition measurements, will be used to test the applicability of the advanced statistical methods. Two Specific Aims of this application are: 1) to determine if statistical models or adjustments can be used to account for the effects of measurement errors in longitudinal studies, regarding the regression estimates, hypothesis testing, and model predictions; measurement errors can reduce relationships between dependent and independent variables resulting in biases for regression estimates, reduced validity of hypothesis testing, and reduced generalizability of the prediction of future risk; and 2) to evaluate the simultaneous use of several risk factors in multivariate, longitudinal models to improve the prediction of future risk. These proposed statistical refinements are motivated by the study of long-term serial risk factors for cardiovascular diseases and the problems generated by measurement errors introduced into these studies, in particular those errors associated with body composition measurements. The impact of measurement errors in independent variables on longitudinal models will be examined and adjusted. The ability to accurately predict future values from earlier values, such as in childhood, is important in many longitudinal studies, and may help to identify or predict those values associated with increased risk. Nevertheless, patterns of change in one variable can be influenced by other variables, hence statistical modeling of the multivariate relationships among risk factors should aid in the derivation and clarification of relationships among multiple variables, and allow for improved prediction models. The investigator's application is that the simultaneous use of several risk factors (c.f., a single risk factor) will improve the identification of individuals at future risk. The model development proposed in this work will use existing data for body composition and risk factors for cardiovascular and related diseases from the Fels Longitudinal Study. The application points out that the models to be developed are not limited to these data, but can be used in the analyses and interpretation of other longitudinal data sets.

描述：（改编自申请人的描述）：本提议研究是先前工作的延续和扩展由该申请人在当前项目中进行。总体目标是应用人体研究的最新、先进的统计方法心血管及相关疾病的组成和危险因素。心血管疾病风险纵向研究的现有数据包括身体成分测量在内的因素将用于测试先进统计方法的适用性。两个具体此应用程序的目的是：1) 确定统计模型或调整可用于考虑测量的影响关于回归估计的纵向研究中的错误，假设检验和模型预测；测量误差可以减少因变量和自变量之间的关系导致回归估计存在偏差，降低了回归估计的有效性假设检验，并降低预测的普遍性未来风险； 2）评估同时使用多种风险多变量纵向模型中的因素以改进预测的未来风险。这些拟议的统计改进是由以下研究推动的心血管疾病的长期系列危险因素这些研究中引入的测量误差产生的问题，特别是那些与身体成分相关的错误测量。独立测量误差的影响将检查和调整纵向模型上的变量。从早期值准确预测未来值的能力，例如在童年时期，在许多纵向研究中很重要，并且可能有助于识别或预测与增加相关的那些值风险。然而，一个变量的变化模式可以是受其他变量的影响，因此统计模型风险因素之间的多变量关系应有助于多个变量之间关系的推导和澄清，并允许改进预测模型。调查员的应用是同时使用几个风险因素（参见，单一风险因素）将提高个人识别能力未来的风险。这项工作中提出的模型开发将使用现有数据身体成分和心血管及相关疾病的危险因素来自费尔斯纵向研究的疾病。申请指出要开发的模型不仅限于这些数据，还可以用于其他纵向数据的分析和解释套。

项目成果

期刊论文数量（39）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Techniques of assessing muscle mass and function (sarcopenia) for epidemiological studies of the elderly.

用于老年人流行病学研究的肌肉质量和功能（肌肉减少症）评估技术。

DOI：
10.1093/gerona/50a.special_issue.45
发表时间：
1995
期刊：
The journals of gerontology. Series A, Biological sciences and medical sciences
影响因子：
0
作者：
Chumlea,WC;Guo,SS;Vellas,B;Guigoz,Y
通讯作者：
Guigoz,Y

The availability of body composition reference data for the elderly.

老年人身体成分参考数据的可用性。