TRANSLATION MODULE
翻译模块
基本信息
- 批准号:7813381
- 负责人:
- 金额:$ 6.48万
- 依托单位:
- 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:
- 关键词:AccountingAdolescenceAdultAffectAgeAge of OnsetAlcohol or Other Drugs useAlcoholsAngerAreaAttentionBehaviorCannabisCharacteristicsChildChildhoodCholesterolClinicalCognitiveCommunicationCompetenceComputer softwareConsumptionDataData SetDecision MakingDetectionDevelopmentDiagnosisDietDisciplineDiseaseDrug usageEmotionsEnrollmentEnvironmentEnvironmental Risk FactorEthnic OriginEtiologyEvidence based interventionExhibitsExposure toFamilyFoundationsFriendsFundingGenderGoalsGrowthGuide preventionHealth Insurance ReimbursementHealth PolicyHealthy People 2010ImpulsivityIndividualInterventionLettersLinkMeasurementMeasuresMediatingMediator of activation proteinMedicalMethodsModelingNeighborhoodsOutcomeParticipantPharmaceutical PreparationsPhenotypePopulationPreparationPreventionPrevention strategyProcessProgress ReportsPropertyProspective StudiesPsychometricsPubertyPublic HealthRecreationResearchResourcesRiskRisk BehaviorsSamplingSchoolsScreening procedureServicesSourceStagingStudentsSubstance Use DisorderTestingTobaccoTranslational ResearchTranslationsUnited States National Institutes of HealthValidationValidity and ReliabilityVariantYouthage relatedbasebiopsychosocialbrief screeningcognitive controlcohortcopingdensitydesigndisorder preventiondisorder riskgenetics of alcoholismhigh riskillegal behaviorimprovedindexingindicated preventioninstrumentmeetingsnegative moodparental monitoringpeerpsychologicresponsestatisticsteachertheories
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,在统计核心下进行的研究已经产生了两个具有判别和预测有效性的临时指数。传染性责任指数 (TLI) 和非传染性责任指数 (NTLl) 评估 SUD 风险的两个方差来源,独立预测 10-12 岁至 22 岁之间大麻使用障碍的诊断(TLI OR=2.3;NTLl OR= 2.8)。他们共同预测大麻使用障碍的总体准确率为 75%。这些初步结果表明,在评估后 12 年内,能够预测因使用非法药物而导致的 SUD。因此,新翻译模块中提出的研究有两个总体目标。首先是通过使用酒精中毒遗传学合作研究 [COGA] 样本重新推导指标来交叉验证指标,并测试、澄清和调整性别、种族和样本之间的差异。 CEDAR 和 COGA 研究。 CEDAR 衍生的 TLI 和 COGA 衍生的 TLI 之间的初步相关性等于 0.98(CEDAR TLI 在 COGA 样本中的 alpha 内部一致性为 0.74),表明样本之间 TLI 具有良好的通用性。交叉验证研究将包括结合两个指标来量化 SUD 风险和传统的有效性测试。作为 CEDAR 正在进行的纵向研究的一部分,该项目为应用病因学研究结果进行选择性/指示性 SUD 预防奠定了基础。 TLI 和 NTL1 以及它们加入结果责任指数 (RLl),将能够准确跟踪从儿童晚期开始的风险状态,从而在个体发生框架内阐明 SUD 病因。
该项目的第二个主要目标是阐明调节(即调解或缓和)TLI 或 NTL1 与 SUD 之间关系的因素。迄今为止,已有 80 多个个体和环境潜在构造;使用 CEDAR 的数据集得出了预测儿童期和青少年期大麻使用障碍和/或区分高风险和低风险青少年的数据。除了这 80 个总结性结构之外,还有 CEDAR 参与者的多种观察测量(基线有 10,000 多个项目)。因此,与选择性/针对性预防相称,该项目将能够准确检测高危青少年,并根据与 SUD 病因学相关的显着中介因素,为后续干预中需要改善的风险提供指导。
拟议的项目将在由 800 个家庭组成的 CEDAR 队列中进行,这些家庭自 1990 年以来相继入组进行前瞻性研究。此时,大多数样本正处于 SUD 风险模式期。因此,(在统计核心内)划定和衡量 SUD 责任的可传递 (TLI) 和不可传递 (NTLl) 部分是适当的。同样及时(在翻译模块内)准备这些索引以供应用,并描述介导 TLI 和 SUD 和/或 NTL1 和 SUD 的因素以指导预防策略。实现这些目标后,有效的人群筛查将是可行的,以指导选择性/指示性预防。
项目成果
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{{ truncateString('TY A RIDENOUR', 18)}}的其他基金
DRUG USE LIABILITY: INVESTIGATING COMPETING MODELS
药物使用责任:研究竞争模型
- 批准号:
6617787 - 财政年份:2000
- 资助金额:
$ 6.48万 - 项目类别:
DRUG USE LIABILITY: INVESTIGATING COMPETING MODELS
药物使用责任:研究竞争模型
- 批准号:
6130467 - 财政年份:2000
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$ 6.48万 - 项目类别:
DRUG USE LIABILITY: INVESTIGATING COMPETING MODELS
药物使用责任:研究竞争模型
- 批准号:
6378313 - 财政年份:2000
- 资助金额:
$ 6.48万 - 项目类别:
DRUG USE LIABILITY: INVESTIGATING COMPETING MODELS
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6780959 - 财政年份:2000
- 资助金额:
$ 6.48万 - 项目类别:
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- 批准号:
6693429 - 财政年份:2000
- 资助金额:
$ 6.48万 - 项目类别:
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