National Social Life, Health, and Aging Project: Anaylsis of Wave 1 and Wave 2

国家社会生活、健康和老龄化项目(NSHAP)调查了社会关系和老年人健康之间的联系，对两者进行了广泛和深入的定义。该项目的核心是对3,005名居住在社区的成年人进行的具有全国代表性的抽样，从他们那里获得了2005/6年度(W1)的广泛访谈和生物测量数据，当时他们的年龄为57-85岁。2010/11年度的第二波数据收集(W2)审查了所有在世参与者、他们的配偶和共同居住的伴侣(N=3,377)，并建立了关于美国老年人健康和社会生活的纵向、基于人口的数据。W1的数据是在实地考察结束大约一年后公布的。W2数据收集于2011年6月完成，初步数据于2011年8月向调查人员提供，预计将于2012年初春向研究公众公布数据。这项提案寻求将IVIERIT奖R37 AG030481--国家社会生活、健康和老龄化项目(NSHAP)--延长五年的资金。研究小组提出了一系列分析，重点是重新定义老年人口的健康概念，健康和幸福感的变化，以及二元和社交网络中健康的产生。其中每一项都是利用NSHAP第一波数据开始的持续努力。总而言之，这些分析使我们能够将老年人的健康划分为健康类别，以器官系统、免疫功能、健康行为、心理状态和感觉运动功能等健康维度的价值为特征，每个维度都有多个指标。它们将使我们能够预测健康类别的死亡率，并检查随着时间的推移健康类别之间的转变。拟议的分析将使我们能够对亲密关系(主要是婚姻)和老年社交网络中的健康生产进行建模，并尽可能研究睡眠是社交世界影响健康的一种机制。

The National Social Life, Health and Aging Project (NSHAP) investigates the link between social connections and health at older ages, applying broad and deep definitions of both. At the heart of this project is a nationally-representative sample of 3,005 community-dwelling adults, from whom extensive interview and biomeasure data were obtained in 2005/6 (W1) when they were ages 57-85. A second wave of data collection in 2010/11 (W2) reinter viewed all surviving participants, their spouses and coresident partners (N=3,377), and established longitudinal, population-based data on health and social life among older Americans. The data from W1 were made publicly available about a year after the close of the field period. W2 data collection was completed in June 2011, preliminary data were made available to the investigators in August 2011, and a release of the data to the research public is expected in early Spring 2012. This proposal seeks funding to extend IVIERIT Award R37 AG030481, The National Social Life, Health and Aging Project (NSHAP), for five years. The team of investigators proposes a series of analyses, focused on reconceptualizing health in the older population, changes in health and well-being, and the production of health in the dyad and social networks. Each of these is an ongoing effort begun using data from the first wave of NSHAP. Together these analyses allow us to characterize the health of the older population into health classes, characterized by values on health dimensions including organ systems, immune function, health behaviors, psychological states and sensory motor function, each with multiple indicators. They will allow us to predict mortality from health class, and to examine transitions between health classes over time. The proposed analyses will allow us to model the production of health within intimate relationships, predominantly marriages, and social networks at older ages, and to examine sleep as possible a mechanism through which the social world affects health.