Combinations of genetic and environmental risk for externalization in adolescence

青春期外化的遗传和环境风险的组合

基本信息

批准号：
7482212
负责人：
ERIC Nathan TURKHEIMER
金额：
$ 27.95万
依托单位：
UNIVERSITY OF VIRGINIA
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-01 至 2010-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7482212
关键词：
Accounting Acting Out Address Adolescence Adolescent Adolescent Development Alcohol or Other Drugs use Area Behavior Behavioral Behavioral Genetics Biologic Characteristic Biological Biometry Birth Characteristics Child Class Complex Confounding Factors (Epidemiology)Cross-Sectional Studies Data Data Set Demography Development Divorce Environment Environmental Risk Factor Equation Ethnic Origin Evaluation Exposure to Family Female Adolescents Genes Genetic Genetic Models Genetic Predisposition to Disease Genetic Research Genetic Structures Genotype Glean Goals Growth Hand Health Internet Intervention Investigation Knowledge Lead Linear Models Marital Status Markov Chains Marriage Maternal Age Measures Mental Depression Methods Modeling Monte Carlo Method Mothers Neighborhoods Non-linear Models Numbers Outcome Parenting behavior Parents Pathway interactions Peer Pressure Personal Satisfaction Phenotype Poverty Pregnancy Pregnancy in Adolescence Problem behavior Psychopathology Puberty Public Health Race Range Registries Research Research Design Research Personnel Risk Risk Factors Sex Behavior Siblings Social Development Social Environment Social Sciences Socioeconomic Status Solutions Specific qualifier value Spouses Statistical Methods Statistical Models Stress Structural Models Supervision System Testing Time Twin Multiple Birth Virginia abortion anti social base cohort design developmental genetics developmental psychology expectation externalizing behavior gene environment interaction genetic analysis high risk sexual behavior improved functioning interest model design motherhood novel parental monitoring peer peer influence programs psychologic psychosocial response social social model teenage mother theories transmission process

Accounting Acting Out Address Adolescence Adolescent Adolescent Development Alcohol or Other Drugs use Area Behavior Behavioral Behavioral Genetics Biologic Characteristic Biological Biometry Birth Characteristics Child Class Complex Confounding Factors (Epidemiology)Cross-Sectional Studies Data Data Set Demography Development Divorce Environment Environmental Risk Factor Equation Ethnic Origin Evaluation Exposure to Family Female Adolescents Genes Genetic Genetic Models Genetic Predisposition to Disease Genetic Research Genetic Structures Genotype Glean Goals Growth Hand Health Internet Intervention Investigation Knowledge Lead Linear Models Marital Status Markov Chains Marriage Maternal Age Measures Mental Depression Methods Modeling Monte Carlo Method Mothers Neighborhoods Non-linear Models Numbers Outcome Parenting behavior Parents Pathway interactions Peer Pressure Personal Satisfaction Phenotype Poverty Pregnancy Pregnancy in Adolescence Problem behavior Psychopathology Puberty Public Health Race Range Registries Research Research Design Research Personnel Risk Risk Factors Sex Behavior Siblings Social Development Social Environment Social Sciences Socioeconomic Status Solutions Specific qualifier value Spouses Statistical Methods Statistical Models Stress Structural Models Supervision System Testing Time Twin Multiple Birth Virginia abortion anti social base cohort design developmental genetics developmental psychology expectation externalizing behavior gene environment interaction genetic analysis high risk sexual behavior improved functioning interest model design motherhood novel parental monitoring peer peer influence programs psychologic psychosocial response social social model teenage mother theories transmission process

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项目摘要

DESCRIPTION (provided by applicant): Although reliable associations have been established among a wide variety of social and biological precursors and risky, illegal, or psychopathological behavior in adolescence, the epidemiological and etiological details of how these factors combine remain to be understood in detail. Several extraordinarily detailed datasets are currently available, encompassing multiple cohorts, cultures and ethnicities. We propose to make use of unique and untapped potential in four existing datasets: The Australian Twin Registry, The Virginia 30,000, Add Health, and the Nonshared Environment and Adolescent Development project. Although the datasets all contain variables relevant to the explanation of disrupted development in adolescence, they have been collected with different emphases, ranging from the social and psychological to biological and genetic. The central theme of the current application is that family data, encompassing biological and social relations among parents and children, siblings, and twins, provides a unique window on the complex interplay of biological and social factors that combine in adolescent development. The application describes an integrated program of research combining the methodological and substantive expertise of a core group of investigators in behavioral genetics, developmental psychopathology, and social development in families. Throughout, our goal is to extend the limits of developmental social science in adolescence by employing genetically informative family data, while extending the scope of developmental behavioral genetics by getting beyond traditional variance partitioning approaches, applying genetically informative methods to the testing of specific questions about causal relations in complex developmental systems. Public Health Relevance: It is well-known that many aspects of family functioning and social environments like neighborhoods are associated with disrupted behavior in adolescence. In addition, there is a clear body of evidence demonstrating associations between biological characteristics of children and disrupted behavior. Both social and biological associations with problem behaviors in adolescence, however, can occur for at least two kinds of reasons, and it is crucial to be able to tell them apart. On the one hand it may be that the social or biological predictors actually cause the disrupted behavior; on the other hand, it could also turn out that the predictors are associated with the outcomes because of other factors. For example, if impoverished families provide less supervision to their children, and poverty also causes the children to be more likely to act out, lower supervision will be associated with acting out even though it does not cause it directly.

描述（由申请人提供）：尽管在青春期的各种社会和生物学先驱以及危险，非法或心理病理学行为中已经建立了可靠的关联，但这些因素结合的流行病学和病因学细节仍然待详细了解。目前可以使用几个非常详细的数据集，其中包括多个同类群体，文化和种族。我们建议在现有的四个数据集中利用独特而未开发的潜力：澳大利亚双胞胎注册表，弗吉尼亚州30,000，增加健康以及非抢劫环境和青少年发展项目。尽管数据集都包含与青春期中断发展的解释有关的变量，但它们的重点不同，从社会和心理学到生物学和遗传。当前应用的中心主题是，家庭数据涵盖了父母和子女之间的生物学和社会关系，兄弟姐妹和双胞胎，为与青少年发展结合的生物学和社会因素的复杂相互作用提供了一个独特的窗口。该应用程序描述了一项综合计划的研究，结合了核心研究人员在行为遗传学，发展心理病理学和家庭社会发展方面的核心研究和实质性专业知识。在整个过程中，我们的目标是通过采用遗传信息丰富的家庭数据来扩展青春期发展社会科学的局限性，同时通过超越传统的差异分配方法来扩展发展行为遗传学的范围，将遗传信息的方法应用于复杂发展系统中有关因果关系的特定问题的测试。公共卫生相关性：众所周知，家庭功能和社会环境（如社区）的许多方面与青春期的行为中断有关。此外，还有大量证据表明儿童生物学特征与行为破坏之间的关联。然而，至少有两种原因，可以在青春期发生与问题行为的社会和生物学联系，并且至关重要的是能够分开。一方面，社会或生物学预测因素实际上会导致破坏的行为。另一方面，由于其他因素，预测因素与结果相关联。例如，如果贫穷的家庭对子女提供较少的监督，而贫困也会导致孩子更有可能采取行动，那么较低的监督将与采取行动相关，即使不会直接导致他们。