Data Collection for Older NLSY Children

描述(由申请人提供)：我们的主要目标是：1)通过2012、2014和2016年的数据收集，将NLSY79青年成人(YA)数据收集扩展到21岁及以上的青年；2)通过纳入YA父母关于家庭环境和子女行为的更多信息，询问更多心理和身体健康问题，以及收集唾液样本来提供DNA，来增强我们以前的YA数据。这些年轻人是NLSY79名女性受访者所生的年龄最大的孩子。正在进行的赠款为2008/2010年与21岁及以上青年的访谈提供了资金。在NICHD的支持下，所有NLSY79儿童自1986年以来每两年接受一次各种认知和社会情绪评估。15岁及以上的年轻人在1994年首次接受采访，被问到的问题与他们青春期母亲被问到的问题类似。自2000年以来，对21岁及以上的NLSY79 YAS的采访一直由NICHD的拨款资助，同样包括与询问同龄母亲的问题类似的问题。将儿童数据与NLSY79整个生命周期中的一系列母亲、家庭和儿童的属性、行为和态度联系起来，使科学和社会科学中的多个学科的研究人员能够开展一系列与方案和政策相关的研究。然而，对于许多研究人员来说，一个关键问题涉及儿童和青春期的发展轨迹与随后的成人成功和幸福之间的后续联系。将这一数据收集延长至2016年，将使研究人员和政策分析人员能够探索科学界核心感兴趣的代内和跨代研究主题，重点关注20多岁和30多岁的成年人，直到40多岁。NLSY79 YA数据集还有其他与公共卫生相关的质量。关于健康和环境的数据是同时和频繁地收集的，包括兄弟姐妹和堂兄弟姐妹，黑人和西班牙裔美国人的比例过高。从每个孩子的母亲那里收集了关于健康的信息，从儿童时期到此后从每个YA那里收集了信息。YA健康信息可以与青春期和成年期的母亲健康行为以及产前和产后行为联系在一起。此外，它还提供了开始整理糖尿病和哮喘等疾病的跨代遗传的机会。在2012年收集DNA将有助于解决基因与环境的相互作用，因为每一轮调查都收集了居住和家庭环境数据。我们的亲属关系结构将进一步使我们能够在生物科学和社会科学的交叉点上进行开创性的研究，我们的大量黑人和拉美裔样本将允许进行分析，以具体考虑种族/民族差异。 公共卫生相关性：要了解健康结果，我们一方面需要了解社会经济、人口和环境因素以及临床因素的作用。这些数据已经包含了大量与健康相关的数据，这里的工作将通过开始收集支持分离令人困惑的解释因素的生物标志物数据来补充这一点。该项目将支持NLSY79的这两个研究项目的统一，NLSY79是研究界可用的最常用的代际纵向调查之一。

DESCRIPTION (provided by applicant): Our primary objectives are 1) to extend the NLSY79 Young Adult (YA) data collection for youth age 21 and over through the 2012, 2014 and 2016 data collection rounds and 2) to enhance our prior YA data by including additional information from YA parents on the home environment and behavior of their children, asking more mental and physical health questions, and collecting saliva samples to provide DNA. These youth represent the oldest children born to NLSY79 female respondents. The ongoing grant has provided funds for interviews with youth age 21 and over in 2008/2010. With NICHD support, all NLSY79 children have received a variety of cognitive and socio-emotional assessments biennially since 1986. Young adults ages 15 and over were first interviewed in 1994 and were asked questions paralleling those asked of their mothers in their adolescent years. Interviews with the NLSY79 YAs ages 21 and over have been funded by a grant from NICHD since 2000, again including questions paralleling those asked of their mothers at the same ages. Linking the child data with a range of maternal, family and child attributes, behaviors and attitudes from the full NLSY79 life span has permitted researchers across multiple disciplines in the sciences and social sciences to carry out a range of programmatic and policy- relevant research. For many researchers, however, a critical issue concerns subsequent connections between the developmental trajectory in childhood and adolescence and subsequent adult success and well-being. Extending this data collection through 2016 will enable researchers and policy analysts to explore both within- and cross-generational research topics of core interest to the scientific community, focused on adults through their 20s and 30s, and into their 40s. The NLSY79 YA data set has other qualities relevant to public health. Data on health and environment have been collected on a contemporaneous and frequent basis, siblings and cousins are included, and blacks and Hispanics are overrepresented. Information has been collected on health from each child's mother through childhood and from each YA since. YA health information can be connected with maternal health behaviors during adolescence and adulthood, and with pre- and post-natal behaviors. It additionally offers the opportunity to begin sorting out cross-generational transferences of illnesses such as diabetes and asthma. Collecting DNA in 2012 will facilitate addressing gene-environment interactions as residential and family environment data have been collected every survey round. Our kinship structure will further enable groundbreaking research at the intersection of the biological and social sciences, and our large samples of blacks and Hispanics will allow for analyses to specifically consider racial/ethnic differences. PUBLIC HEALTH RELEVANCE: To understand health outcomes, we need to understand the role of socio-economic, demographic and environmental factors on one hand, and clinical factors on the other. These data already contain large amounts of health related data and the effort here will supplement this by starting to collect biomarker data that will support the separation of confounding explanatory factors. This project will support the unification of these two research programs for the NLSY79 - one of the most heavily used intergenerational longitudinal surveys available to the research community.