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）调查社会关系和老年人健康之间的联系，应用广泛而深入的定义。该项目的核心是一个具有全国代表性的3,005名社区居住成年人的样本，在2005/6年（W1）他们年龄在57-85岁时获得了广泛的访谈和生物测量数据。2010/11年的第二波数据收集（W2）reinter查看了所有幸存的参与者，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人口数据。来自W1的数据在实地考察期结束后约一年公开提供。W2数据收集于2011年6月完成，初步数据于2011年8月提供给研究人员，预计将于2012年早春向研究公众发布数据。该提案旨在寻求资金，以延长IVIERIT奖R37 AG 030481，国家社会生活，健康和老龄化项目（NSHAP），为期五年。研究小组提出了一系列分析，重点是重新定义老年人的健康，健康和福祉的变化，以及在二元和社交网络中的健康生产。其中每一项都是使用第一波NSHAP的数据开始的持续努力。这些分析使我们能够将老年人口的健康特征分为健康类别，其特征是健康维度的价值，包括器官系统，免疫功能，健康行为，心理状态和感觉运动功能，每个都有多个指标。它们将使我们能够预测健康类别的死亡率，并检查健康类别之间随时间的变化。拟议的分析将使我们能够在亲密关系（主要是婚姻）和老年社交网络中对健康的产生进行建模，并将睡眠作为社会世界影响健康的可能机制进行研究。

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.