TRANSLATION MODULE

翻译模块

基本信息

批准号：
7813381
负责人：
TY A RIDENOUR
金额：
$ 6.48万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-03-15 至 2015-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7813381
关键词：
Accounting Adolescence Adult Affect Age Age of Onset Alcohol or Other Drugs use Alcohols Anger Area Attention Behavior Cannabis Characteristics Child Childhood Cholesterol Clinical Cognitive Communication Competence Computer software Consumption Data Data Set Decision Making Detection Development Diagnosis Diet Discipline Disease Drug usage Emotions Enrollment Environment Environmental Risk Factor Ethnic Origin Etiology Evidence based intervention Exhibits Exposure to Family Foundations Friends Funding Gender Goals Growth Guide prevention Health Insurance Reimbursement Health Policy Healthy People 2010 Impulsivity Individual Intervention Letters Link Measurement Measures Mediating Mediator of activation protein Medical Methods Modeling Neighborhoods Outcome Participant Pharmaceutical Preparations Phenotype Population Preparation Prevention Prevention strategy Process Progress Reports Property Prospective Studies Psychometrics Puberty Public Health Recreation Research Resources Risk Risk Behaviors Sampling Schools Screening procedure Services Source Staging Students Substance Use Disorder Testing Tobacco Translational Research Translations United States National Institutes of Health Validation Validity and Reliability Variant Youth age related base biopsychosocial brief screening cognitive control cohort coping density design disorder prevention disorder risk genetics of alcoholism high risk illegal behavior improved indexing indicated prevention instrument meetings negative mood parental monitoring peer psychologic response statistics teacher theories

Accounting Adolescence Adult Affect Age Age of Onset Alcohol or Other Drugs use Alcohols Anger Area Attention Behavior Cannabis Characteristics Child Childhood Cholesterol Clinical Cognitive Communication Competence Computer software Consumption Data Data Set Decision Making Detection Development Diagnosis Diet Discipline Disease Drug usage Emotions Enrollment Environment Environmental Risk Factor Ethnic Origin Etiology Evidence based intervention Exhibits Exposure to Family Foundations Friends Funding Gender Goals Growth Guide prevention Health Insurance Reimbursement Health Policy Healthy People 2010 Impulsivity Individual Intervention Letters Link Measurement Measures Mediating Mediator of activation protein Medical Methods Modeling Neighborhoods Outcome Participant Pharmaceutical Preparations Phenotype Population Preparation Prevention Prevention strategy Process Progress Reports Property Prospective Studies Psychometrics Puberty Public Health Recreation Research Resources Risk Risk Behaviors Sampling Schools Screening procedure Services Source Staging Students Substance Use Disorder Testing Tobacco Translational Research Translations United States National Institutes of Health Validation Validity and Reliability Variant Youth age related base biopsychosocial brief screening cognitive control cohort coping density design disorder prevention disorder risk genetics of alcoholism high risk illegal behavior improved indexing indicated prevention instrument meetings negative mood parental monitoring peer psychologic response statistics teacher theories

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项目摘要

Research conducted to date under the Statistics Core has yielded two provisional indexes having discriminant and predictive validity. The Transmissible Liability Index (TLI) and Non-Transmissible Liability Index (NTLl), evaluating the two sources of variance in SUD risk, independently predict diagnosis of cannabis used disorder between ages 10-12 and 22 (TLI OR=2.3; NTLl OR=2.8). Together they predict cannabis use disorder with 75% overall accuracy. These preliminary findings demonstrate the capacity to predict SUD consequent to use of illegal drugs up to 12 years after assessment. Accordingly, the research proposed in the new Translation Module has two overarching objectives. First will be cross-validation of the indexes by rederivation of the indexes using the sample of the Collaborative Studies on the Genetics of Alcoholism [COGA] as well as testing, clarifying, and adjusting for differences between genders, ethnicities, and the samples of the CEDAR and COGA studies. Preliminary correlation between the CEDAR-derived TLI and COGA-derived TLI equaled .98 (the CEDAR TLI had an alpha internal consistency of .74 in the COGA sample), suggesting good generalizability, of the TLI between samples. Cross-validation research will include joining the two indexes for quantification of SUD risk and traditional validity testing. As part of ongoing longitudinal research at CEDAR, this project establishes the foundation to apply etiology findings for selective/indicated SUD prevention. The TLI and NTLl, and their joining into a Resultant Liability Index (RLl), will enable accurate tracking of risk status from late childhood onward for elucidating SUD etiology within an ontogenetic framework. A second main objective of this project is to explicate the factors which intermediate (i.e., mediate or moderate) the relationship between the TLI or NTLl and SUD. To date, over 80 individual and environment latent constructs; that predict cannabis use disorder between childhood and adolescence, and/or discriminate high and low risk youths, have been derived using CEDAR's dataset. In addition to these 80 summative constructs are the manifold observed measures of CEDAR participants (10,000+ items at baseline). Thus, commensurate with selective/indicated prevention, this project will enable accurate detection of high risk youths and will provide guidance for the risks that need to be improved in subsequent intervention, based on the salient intermediary factors empirically linked to SUD etiology. The proposed project will be performed on the CEDAR cohort consisting of 800 families that have been sequentially enrolled for prospective study since 1990. At this juncture, the majority of the sample is passing through the modal period of risk for SUD. Thus, it is opportune (within the Statistics Core) to delineate and scale the transmissible (TLI) and non-transmissible (NTLl) components of SUD liability. It is equally timely (within the Translation Module) to prepare these indexes for applied uses and to delineate the factors that intermediate the TLI and SUD and/or NTLl and SUD to guide prevention strategy. Upon achieving these goals, efficient population screening will be feasible so as to guide selective/indicated prevention.

迄今为止根据统计核心进行的研究产生了两个具有判别和预测有效性的临时指数。可传染性责任指数（TLI）和不可传输的责任指数（NTLL）评估SUD风险的两种差异来源，可以独立预测10-12至22岁之间使用的大麻疾病的诊断（TLI或= 2.3; NTLL或= 2.8）。他们一起预测大麻使用障碍的总体准确性为75％。这些初步发现证明了评估后长达12年的非法药物预测SUD的能力。因此，新翻译模块中提出的研究具有两个总体目标。首先是使用有关酒精中毒[COGA]遗传学的合作研究样本以及测试，澄清和调整性别，种族和CEDAR和COGA研究样本之间的差异，以及测试，澄清和调整差异，以及测试，澄清和调整测试，澄清和调整索引，以及对索引进行跨验证。 CEDAR衍生的TLI与COGA衍生的TLI之间的初步相关性等于.98（Cedar TLI在COGA样品中具有0.74的Alpha内部一致性），表明样品之间TLI的良好推广性。交叉验证研究将包括加入两个索引以量化SUD风险和传统有效性测试。作为雪松正在进行的纵向研究的一部分，该项目为选择性/指示的SUD预防奠定了基础。 TLI和NTLL及其加入由此产生的责任指数（RLL），将能够准确跟踪从儿童晚期开始的风险状态，以阐明在一个遗传框架内的SUD病因。该项目的第二个主要目标是阐明介导的因素（即介导或中度）TLI或NTLL和SUD之间的关系。迄今为止，超过80个个人和环境潜在结构；使用Cedar的数据集来预测儿童和青春期之间的大麻使用障碍和/或区分高风险年轻人。除了这80个汇总结构外，还观察到了雪松参与者的歧管量度（基线时10,000个以上的项目）。因此，与选择性/指示的预防相称，该项目将基于与SUD病因的经验相关的显着中间因素，可以准确检测高风险年轻人，并为需要改善的风险提供指导。拟议的项目将在Cedar队列上进行，由800个家庭组成，这些家族自1990年以来一直依次参加前瞻性研究。在这个关头，大多数样本正在经过SUD的模态时期。因此，划定和扩展SUD责任的可传播（TLI）和不可传输（NTLL）组件是适当的（在统计核心内）。同样及时（在翻译模块中）准备这些索引用于应用用途，并描述介入TLI和SUD和SUD和/或NTLL和SUD的因素来指导预防策略。实现这些目标后，有效的人口筛查将是可行的，以指导选择性/指示的预防。