Using Record Linkage to Generate the Add Health Children Study Database

使用记录链接生成 Add Health Children 研究数据库

• 批准号: 9317514
• 负责人: Jennifer Buher-Kane
• 金额: $ 26.66万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-18 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9317514
• 关键词: Address; Adolescent; Adult; Algorithms; Area; Behavioral; Biological; Birth; Birth Certificates; Birth Records; Censuses; Child; Child health care; Childbirth; Chronic Disease; Communities; Data; Data Collection; Data Set; Data Sources; Databases; Development; Disclosure; Disease; Economics; Fathers; Feasibility Studies; Female; Future; Generations; Genetic; Geography; Goals; Health; Home environment; Lead; Link; Location; Longitudinal Studies; Longitudinal Surveys; Mothers; Neighborhoods; Outcome; Parents; Population; Positioning Attribute; Pregnancy; Procedures; Protocols documentation; Public Health; Records; Research; Research Personnel; Respondent; Risk; Risk Factors; Scientific Advances and Accomplishments; Social Environment; Span 20; Surveys; Time; base; cohort; data resource; early adolescence; follow-up; health disparity; health of the mother; innovation; intergenerational; longitudinal design; prospective; psychologic; racial and ethnic; social; socioeconomics; transmission process; user-friendly; young adult

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.

摘要 促进对健康的发展起源和代际传递的科学理解 和幸福，我们需要新的数据源，包含丰富的生物，遗传，社会，心理，行为， 关于父母和孩子的环境和经济信息。这个R21的目标是建立 建立这样一个数据源的可行性，将父母所生子女的出生记录联系起来， 添加健康研究。我们建议试行将出生与居住在以下地区的女性AddHealth受访者联系起来 美国三个州。Add Health是一项理想的研究，可用于构建代际数据库， 纵向设计，国家代表性，以及实质性的种族，民族和社会经济多样性， 将健康列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， 涵盖Add Health受访者生育的整个时间段。 目标2：开发和应用概率连接算法，以连接女性Add的子女出生记录 健康受访者对他们的母亲的纵向数据在这三个国家，并执行这一 链接，以创建新的添加健康儿童研究数据库。我们估计这个新的数据库将 包括关于这些州大约3,800名新生儿资料。 目标3：对母亲家庭地址（出生证明上所列）的位置进行地理编码， 围绕怀孕和分娩时间的环境数据对母亲的健康纵向添加 数据和孩子的出生记录数据。与此同时，收集所有并行环境数据， 这三个州的社区，以表征周围的社区。 目标4：记录目标1-3产生的最佳做法程序， 出生记录数据从添加健康儿童研究数据库添加健康社区 用户. 新的添加健康儿童研究数据库将是美国第一个具有社会， 行为，环境和生物数据的母亲在怀孕前的时期，开始在早期 青少年，并提供其子女的出生证数据。它也将是同类数据集中第一个 包含描述母亲出生时社会环境的地理数据，此外， 地理数据描述了她在多个时间点的社会环境，从青春期早期开始， 跨越到成年的过渡期通过这个新数据库进行的研究将对公众产生重大影响。 通过确定不良生育结果的孕前原因和了解 健康方面的代际差距的传递。