HEALTH AND RESIDENTIAL MOBILITY AMONG THE OLD

本研究的总体目标是首次研究， 在相当详细的情况下，健康与 老年人的居住搬迁（地理流动性）。 本研究从老年人发展的角度出发， 移民，特别是与健康有关的移民， 其他人的行为，尤其是家庭成员。 社会- 受试者的经济状况及其城乡流动 模式也被考虑。 更广泛地说， 将研究居住环境对居民搬迁的影响。 这个项目只能完成，因为它使用了非常 最近发布的老化纵向研究（LSOA）磁带， 国家卫生统计中心。 LSOA旨在 来衡量功能状态和生活状态的变化， 老年人的安排，并提供健康措施， 包括功能能力、功能依赖、健康状况 和保健用途。 LSOA是基于1984年参与者的 研究，补充老化（SOA），被添加到 国家健康访问调查（NHIS）。 人口普查 调查局为国家健康中心做了采访 统计 5151美元的SOA 1986年再次对1984年时70岁的样本进行访谈。 这两个相互关联的数据集使我们能够分析健康的影响 对老年人居住流动性的影响。 进一步联系 国家邻接代码、卫生人口概况 系统和地区资源文件，作为本建议的一部分， 项目，将有可能审查地理背景， 因为这会影响他们的移动行为。 将获得所产生的数据集。 对数线性分析技术将创建复合措施。 假设将使用各种分析技术进行处理。

The overall aim of this study is to examine for the first time, and in considerable detail, the relationship between health and residential relocation (geographic mobility) among the very old. The study is grounded in a developmental perspective of elderly migration, especially as it relates to health, and to the helping behavior of others, especially family members. The socio- economic status of the subjects and their rural-urban mobility patterns are also considered. More broadly, the impact of residential context on residential relocation will be studied. This project can only be accomplished because it uses the very recently released Longitudinal Study of Aging (LSOA) tapes from the National Center for Health Statistics. The LSOA is designed to measure change in the functional status and the living arrangements of older people, and provide measures of health, including functional capacity, funtional dependency, health status and health care use. The LSOA is based on participants in a 1984 study, the Supplement on Aging (SOA) that was added to the National Health Interview Survey (NHIS) that year. The Census Bureau did the interviewing for the National Center for Health Statistics. Five thousand one hundered and fifty one of the SOA sample who were 70 years old in 1984 were reinterviewed in 1986. The two linked datasets allow us to analyze the impact of health on residential mobility among the very old. A further linking of the Country Adjacency Codes, the Health Demographic Profile System and the Area Resources File, as a part of this proposed project, will make it possible to examine the geographical context of the sample subjects as that influences their mobility behavior. The resulting dataset will be achieved. Log-linear analytic techniqus will create composite measures. Hypotheses will be treated using variety of analytic techniques.