Biodemography of Health, Social Factors & Life Challenge

描述(申请人提供)：社会环境与健康息息相关。人口特征、在社会等级中的地位以及社会网络和支持系统内的联系调解生活中的挑战，促进获得和使用护理，并塑造与健康相关的行为。 这项生物人口统计调查有两个首要目标。第一个是阐述老年人口的社会环境、生活挑战和健康之间的关系。第二个是研究压力和健康的生物标记物如何增强我们对这些关系的理解。这两个基本目标包含三个具体目标：1)将第二轮从52岁及以上人群中收集的生物标记物纳入一项调查，其中包括2000年收集的生物标记物；2)利用新的纵向生物标记物数据，更好地了解健康、社会环境和暴露于生活挑战之间的因果关系；以及3)阐述生活挑战和健康之间的关系，探索社会环境如何影响这种关系。 我们使用了来自对老年人的纵向研究的异常丰富的、以人口为基础的数据。自1989年以来，大约每三年收集一次这些数据，这些数据包括关于健康以及社会、经济和人口特征的详细的回顾和当前状况信息。这些数据还包括2000年对同一人群进行的一项研究的信息和存档样本，其中包括人口和健康最新情况、血液和尿液样本的分析以及体检。我们提议在2005年对2000年队列中的幸存者以及2003年将首次接受采访的年轻队列进行第二轮生物标记物收集。我们的分析策略在很大程度上依赖于两种多变量方法：1)纵向数据的广义线性模型；2)隶属度模型。 这项研究的数据将作为公共使用数据集提供。

DESCRIPTION (provided by applicant): The social environment and health are closely interwoven. Demographic characteristics, position in social hierarchies, and linkages within social networks and support systems mediate life's challenges, facilitate access to and use of care, and shape health-related behaviors. This biodemographic investigation has two overarching goals. The first is to elaborate the relationships among the social environment, life challenges, and health in an older population. The second is to examine how biological markers of stress and health enhance our understanding of these relationships. Embedded within these two fundamental goals are three specific aims: 1) To incorporate a second round of biomarker collection from persons aged 52 and older in a survey that included the collection of biomarkers in 2000; 2) To exploit the new longitudinal biomarker data to better understand the causal connections among health, the social environment, and exposure to life challenges; and 3) To elaborate the relationships between life challenge and health, exploring how the social environment affects that relationship. We use unusually rich, population-based data from a longitudinal study of older persons. These data have been collected approximately every three years since 1989 and collectively comprise detailed retrospective and current status information on health and on social, economic, and demographic characteristics. The data also include information and archived specimens from a study of a subset of the same population in 2000 including a demographic and health update, assays from blood and urine specimens, and a medical examination. We propose a second round of biomarker collection in 2005 for the survivors of the 2000 cohort as well as for a younger cohort that will be interviewed for the first time in 2003. Our analytical strategy relies largely on two multivariate approaches: 1) generalized linear models for longitudinal data; and 2) grade of membership models. The data from this study will be made available as a public use data set.