Kin Networks and Old-Age Survival During the Demographic Transition

亲情网络与人口结构转型中的老年生存 项目摘要/摘要 这是一个K01奖，颁发给朱莉娅·詹宁斯博士，她是一名生物人类学家和人口学家 奥尔巴尼大学、纽约州立大学。詹宁斯博士是一名职业生涯早期的调查员。 和衰老。这一奖项将为詹宁斯博士完成以下事业提供支持 发展目标：(1)成为社会支持、老年学和社会网络分析方面的专家； (2)对亲属网络和成人死亡率进行原创性研究；(3)开展独立研究 职业生涯，并在R级资金方面变得有竞争力。为了实现这些目标，詹宁斯博士组建了一个 指导团队，包括主要导师Merril Silverstein博士、Marjorie Cantor捐赠教授 他是锡拉丘兹大学的老龄化专家，也是国际背景下的代际支持和老龄化方面的专家， 和三位共同导师：本杰明·肖博士，健康老龄化的社会决定因素专家，卡尔博士 社交网络分析师Rehemeyer和健康、老龄化、家庭方面的专家Ken Smith博士 和长寿。 亲属关系和社会关系与老年人的长寿有关。该项目将重点放在 亲属网络的多项指标、亲属的空间位置与老年死亡率之间的关系； 经济地位在解释这些关系中的可能作用；以及随着时间的推移网络的变化。在目标1中， 詹宁斯博士将使用一个独特的具有60年观察历史的数据集来研究全亲属网络 整个人口。她将讨论结构和空间可能产生的独立和联合影响 亲缘网络的分布以及随时间和生命进程的变化。在《目标2》中，詹宁斯博士将研究 使用同一国家现代相关人口普查样本对同居亲属和存活率的影响。目标3将 在一项关于老龄化的纵向研究中关注社会网络措施与健康状况之间的关系 来自同一个国家，同时比较了目标1-2的数据集和调查结果。每个目标 将使用高级量化技术，包括社交网络分析、空间分析和事件历史 分析。这项研究将是R01应用程序的基础，该应用程序将研究亲属网络对儿童死亡率的影响。 将在K奖的最后一年提交的当代和比较背景。

Kin networks and old-age survival during the demographic transition Project Summary/Abstract This is a K01-award for Dr. Julia Jennings, a biological anthropologist and demographer at the University at Albany, State University of New York. Dr. Jennings is an early-career investigator in kin support and aging. This award will provide Dr. Jennings with the support to accomplish the following career development objectives: (1) to become an expert in social support, gerontology, and social network analysis; (2) to conduct original research on kin networks and adult mortality; (3) develop an independent research career and become competitive for R-level funding. To meet these objectives, Dr. Jennings has assembled a mentoring team that includes primary mentor Dr. Merril Silverstein, Marjorie Cantor Endowed Professor in Aging at Syracuse University and an expert in intergenerational support and aging in international contexts, and three co-mentors: Dr. Benjamin Shaw, an expert in the social determinants of healthy aging, Dr. Karl Rethemeyer, a social network analyst, and Dr. Ken Smith, a specialist on the familial aspects of health, aging, and longevity. Kinship and social ties are associated with longer lives among older adults. This project will focus on the associations among multiple measures of kin networks, the spatial location of kin, and old-age mortality; the possible role of economic status in explaining these relationships; and network change over time. In Aim 1, Dr. Jennings will use a unique historical dataset with 60 years of observation to study whole kin networks for an entire population. She will address possible independent and joint effects of the structure and spatial distribution of kin networks and change over time and the life course. In Aim 2, Dr. Jennings will investigate the effects of co-resident kin and survival using a modern linked census sample from the same country. Aim 3 will focus on the relationship between social network measures and health status in a longitudinal study of aging from the same country while drawing comparisons across the datasets and findings from Aims 1-2. Each aim will use advanced quantitative techniques, including social network analysis, spatial analysis, and event history analysis. This research will be the foundation of a R01 application on the effects on kin networks on mortality in contemporary and comparative contexts to be submitted in the last year of the K-award.