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Applying Latent Variable Modeling to Cormorbidity Treatment Research

Applying Latent Variable Modeling to Cormorbidity Treatment Research
将潜变量模型应用于疾病治疗研究
批准号:
8321080
负责人:
MATT G KUSHNER
金额:
$11.73万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-25 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
描述(申请人提供):这份K02申请的目的是允许候选人增加他分配给研究和相关职业发展活动的时间,从没有K02的预计年均25%-45%增加到K02的75%-80%。该申请概述了候选人在NI/AA支持的酒精研究的15年历史,并提供了一个职业发展计划,旨在获取和部署属于潜在变量-结构方程模型(LV-SEM)的复杂数据分析和方法论策略(例如,因子分析、路径分析、潜在类别和特征建模、成长混合模型、项目反应理论)。这将通过具体的职业发展目标来实现,包括:1)与导师和合作者的互动(15%);2)假设检验(25%);3)正式课程/培训(25%);4)学术成果(25%);以及5)教学/服务(10%)。“Parent R01”(“CBT治疗共病酗酒者的焦虑障碍”/A0105069)针对的是接受标准社区酒精中毒治疗计划的400名患者的样本,这些患者也被诊断出至少患有几种常见的共病焦虑和情感(“内化”)障碍之一。除了酒精治疗外,患者还会接受两种针对内化性障碍的心理社会治疗之一。LV-SEM将允许应试者在经验上将父R01数据集中高度相互关联的内在化障碍/症状划分为不同的与共同的成分,然后在因果模型中与酒精和内在化治疗结果相关。接下来,候选人将在社区、学生和精神病学的数据集上复制这些模型,这些数据集要么是公开可用的(例如,NESARC),要么是通过他的合作者(例如,Ken Sher博士和Carrie Randall博士)获得的。这些努力将从经验上简略地描述酒精使用障碍患者所经历的内化问题,以及这些问题与一些人群和治疗方式中的酒精中毒和精神治疗之间的关系。更长期的目标将是开发更有效的治疗酒精障碍和共病内化障碍的方法。相关性:通过进一步阐明酒精中毒治疗患者内在化障碍的最佳临床策略和概念化,拟议的工作将提高我们有效治疗酒精依赖的能力。
英文摘要
DESCRIPTION (provided by applicant): The objective of this K02 application is to allow the candidate to increase the time he has allocated to research and related career development activities from a projected annual average of between 25-45% without the K02 to between 75-80% with the K02. The application overviews the candidate's 15-year history of NI/\AA-supported alcohol research and provides a career development plan aimed at acquiring and deploying sophisticated data analytic and methodological strategies that fall under the broad heading of latent variable-structural equation modeling (LV-SEM) (e.g., factor analysis, path analysis, latent class and trait modeling, growth mixture modeling, item response theory). This would be accomplished via specific career development objectives involving: 1) interactions with mentors and collaborators (15%); 2) hypotheses testing (25%); 3) formal courses/training (25%); 4) scholarly production (25%); and, 5) teaching/ service (10%). The "parent R01" ("CBT Treatment of Anxiety Disorders in Comorbid Alcoholics" /\A0105069) targets a sample of 400 patients undergoing a standard community-based alcoholism treatment program who are also diagnosed with at least one of several common comorbid anxiety and affective ("internalizing") disorders. In addition to the alcohol treatment, patients receive one of two psychosocial treatments for internalizing disorder. LV-SEM would allow the candidate to empirically partition highly inter- correlated internalizing disorders/symptoms in the parent R01 dataset into distinct vs. common components that could then be related in causal models to the alcohol and internalizing treatment outcomes. Next, the candidate would replicate these models in community, student and psychiatric-based datasets that are either publicly available (e.g., NESARC) or available via his collaborators (e.g., Drs. Ken Sher and Carrie Randall). These efforts would provide an empirically parsimonious characterization of the internalizing problems experienced by individuals with alcohol use disorders and how these relate to alcoholism and psychiatric treatments across a number of populations and treatment modalities. The longer-term goal would be to develop more effective treatments for alcohol disorders with comorbid internalizing disorders. RELEVANCE: By further clarifying the best clinical strategies for and conceptualization of internalizing disorders occurring in alcoholism treatment patients, the proposed work will improve our ability to effectively treat alcohol dependence.
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Validating an Autonomous Interactive Internet-Based Delivery of an Empirically Supported Cognitive Behavioral Therapy for Comorbidity
  • 批准号:
    10176912
  • 项目类别:
  • 资助金额:
    $45.59万
  • 财政年份:
    2021
  • 负责人:
    MATT G KUSHNER
  • 依托单位:
Validating an Autonomous Interactive Internet-Based Delivery of an Empirically Supported Cognitive Behavioral Therapy for Comorbidity
  • 批准号:
    10597539
  • 项目类别:
  • 资助金额:
    $45.82万
  • 财政年份:
    2021
  • 负责人:
    MATT G KUSHNER
  • 依托单位:
Validating an Autonomous Interactive Internet-Based Delivery of an Empirically Supported Cognitive Behavioral Therapy for Comorbidity
  • 批准号:
    10404961
  • 项目类别:
  • 资助金额:
    $43.65万
  • 财政年份:
    2021
  • 负责人:
    MATT G KUSHNER
  • 依托单位:
Dismantling the Components and Dosing of CBT for Co-Occurring Disorders
  • 批准号:
    8716244
  • 项目类别:
  • 资助金额:
    $51.49万
  • 财政年份:
    2014
  • 负责人:
    MATT G KUSHNER
  • 依托单位:
海外基金