ADOLESCENT BEHAVIOR: FAMILY AND NON-FAMILY INFLUENCES

我们请求支持第四次延续先前供资的一个项目， 项目持续10年以上。拟议的工作包括广泛研究 遗传和环境对生育结果和过程的影响 找到他们该项目的动机来自过去的工作 研究社会对青少年过渡行为的影响，包括 性行为和怀孕，吸烟，饮酒，犯罪，知识分子 发展和成就。最近，我们开始使用来自 发展心理学和行为遗传学， 遗传影响沿着社会/环境影响 行为。 我们以前的工作使用了全国青年纵向调查 然而，NLSY不包含明确的信息 区分全同胞、半同胞和收养同胞。我们已经开发出一种 “链接算法”来定义这些亲属关系。另外我们有 我使用了一种分析方法--一种自适应DF分析模型， 遗传的、共享的环境的和非共享的环境的变异 影响。 我们最近的工作研究了遗传和环境对 第一次性交的年龄目前的应用程序将该研究扩展到 一个大的框架，考虑初潮年龄，第一次性交的年龄， 结婚年龄、初次怀孕年龄、初次生育年龄、 随后的出生，这些不同的结果之间的滞后，以及一组 衡量生育意愿和期望的态度变量。这些 在生命历程的帮助下定义和组织变量 Perspective. 我们提出了四个子研究：在每个研究中，我们将：（a）确定是否 遗传影响作用于各种生育行为;（B）评估 共同的环境影响是否重要;（c）统计上 测试几个具体的和精心挑选的非共享的重要性， 环境影响;（d）评估是否极端版本的 生育行为与广义上的 行为;（e）确定我们在模式中的种族和性别差异， 找到.

We request support for a fourth continuation of a previously funded project lasting 10+ years. The proposed work involves a broad study of genetic and environmental influences on fertility outcomes and the process leading up to them. Motivation for the project derives from past work studying social influences on adolescent transition behaviors, including sexuality and pregnancy, smoking, drinking, delinquency, intellectual development, and achievement. Recently, we have begun to use models from developmental psychology and behavior genetics that allow us to study genetic influences along with social/environmental influences on behaviors. Our previous work has used the National Longitudinal Survey of Youth extensively; however, the NLSY does not contain explicit information distinguishing full, half, and adoptive siblings. We have developed a "linking algorithm" to define these kinship links. In addition, we have used an analysis approach--an adaptive DF Analysis model--that partitions variance into genetic, shared environmental, and non-shared environmental influences. Our most recent work has studied genetic and environmental influences on age at first intercourse. The current application extends that study into a large framework and considers age at menarche, age at first intercourse, age at marriage, age at first pregnancy, age at first birth, age at subsequent births, lags between these various outcomes, and a set of attitudinal variables measuring fertility desires and expectations. These variables are defined and organized with the assistance of the Life Course Perspective. We propose four sub-studies: In each study we will: (a) identify whether genetic influences act on the various fertility behaviors; (b) evaluate whether shared environmental influences are important; (c) statistically test for the importance of several specific and well-chosen non-shared environmental influences; (d) evaluate whether extreme versions of fertility behavior have the same etiology as the broadly defined behaviors; (e) identify race and gender differences in the patterns we find.