Using Record Linkage to Generate the Add Health Children Study Database

摘要 促进对健康的发育起源和代际传递的科学理解 我们需要新的数据源，包含丰富的生物学、遗传学、社会性、心理学、行为学、 关于父母和孩子的环境和经济信息。这款R21的目标是建立 创建这样一个数据源的可行性，该数据源将#年父母所生子女的出生记录联系起来 Add Health研究。我们建议试行将生育与居住在以下地区的女性及健康受访者挂钩 美国三个州。Add Health是利用其建立代际数据库的理想研究 纵向设计，国家代表性，以及显著的种族、民族和社会经济多样性和意愿 将Add Health定位为研究健康发展起源的卓越数据资源之一 和疾病。该项目的具体目标是： 目标1：从三个州获得20多年(1988年至今)的出生证明记录， 包括Add Health受访者生育的整个时间段。 目标2：开发并应用一种概率链接算法来链接女性ADD儿童的出生记录 健康受访者对他们母亲在这三个州的纵向数据进行分析，并执行此操作 链接以创建新的添加健康儿童研究数据库。我们估计这个新数据库将 包括这些州大约3800名新生儿的信息。 目标3：对母亲的家庭地址(在出生证明上列出)的位置进行地理编码，以合并社会 孕期和分娩前后的环境数据对母亲健康的影响纵向 数据和孩子的出生记录数据。同时，收集关于所有环境的并行数据 这三个州的社区，以便描述周围社区的特征。 目标4：记录目标1-3产生的最佳做法程序，并散发初步 从Add Health儿童研究数据库到Add Health社区的出生记录数据 用户。 新的ADD健康儿童研究数据库将是美国第一个此类数据集， 母亲在怀孕前阶段的行为、环境和生物学数据，从早期开始 青春期，有他们孩子的出生证明数据。它也将是此类数据集中的第一个 包含描述母亲出生时的社会环境的地理数据，除了 描述她在多个时间点的社会环境的地理数据，从青春期早期开始 跨过了成年的过渡期。由这个新数据库实现的研究将有重要的公众 通过确定不良分娩结局的先入为主的原因和了解 代际健康差距的传播。

ABSTRACT To advance scientific understanding of the developmental origins and intergenerational transmission of health and well-being, we need new data sources containing rich biological, genetic, social, psychological, behavioral, environmental, and economic information on both parents and children. The goal of this R21 is to establish the feasibility of creating such a data source that links the birth records of children born to mothers and fathers in the Add Health Study. We propose to pilot the linkage of births to female Add Health respondents living in three U.S. states. Add Health is the ideal study with which to build an intergenerational database with its longitudinal design, national representation, and substantial racial, ethnic, and socioeconomic diversity and will position Add Health as one of the preeminent data resources for studying the developmental origins of health and disease. The specific aims of this project are: Aim 1: Obtain birth certificate records from three states for a span of 20+ years (1988-present) that encompasses the entire time period in which Add Health respondents have given birth. Aim 2: Develop and apply a probabilistic linking algorithm to link the birth records of children of female Add Health respondents to their mother's longitudinal data in these three states, and perform this linkage to create the new Add Health Children Study Database. We estimate this new database will include information on roughly 3,800 births in these states. Aim 3: Geocode the location of mother's home address (listed on the birth certificates) to merge social environmental data around the time of pregnancy and birth to the mother's Add Health longitudinal data and the child's birth record data. At the same time, gather parallel environmental data on all neighborhoods in these three states in order to characterize surrounding neighborhoods. Aim 4: Document the best-practice procedures that emerged from Aims 1-3 and disseminate preliminary birth records data from the Add Health Children Study Database to the community of Add Health users. The new Add Health Children Study Database will be the first dataset of its kind in the U.S. with social, behavioral, environmental, and biological data on mothers during the pre-conception period, beginning in early adolescence, with birth certificate data on their children. It will also be the first dataset of its kind that will contain geographic data describing the mother's social environment at the time of birth, in addition to geographic data describing her social environment at multiple points in time, starting in early adolescence and spanning the transition to adulthood. Research made possible by this new database will have significant public health impact through identifying preconception causes of adverse birth outcomes and understanding the transmission of intergenerational disparities in health.