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: 7738587
• 负责人: MATT G KUSHNER
• 金额: $ 11.35万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-25 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7738587
• 关键词: Accounting; Address; Affect; Affective; Alcohol dependence; Alcoholism; Alcohols; Anxiety; Anxiety Disorders; Applications Grants; Categories; Clinical; Communities; Data; Data Set; Dependence; Development Plans; Diagnosis; Disease; Educational process of instructing; Elements; Equation; Expectancy; Factor Analysis; Family history of; Fright; Generalized Anxiety Disorder; Generations; Goals; Growth; Head; Individual; Intervention; Knowledge; Label; Learning; Link; Manuscripts; Measurement; Measures; Mediating; Mediator of activation protein; Mentors; Meta-Analysis; Methodology; Modality; Modeling; Modification; Moods; Morbidity - disease rate; Outcome; Parents; Patients; Population; Principal Investigator; Production; Psychiatric therapeutic procedure; Psychosocial Factor; Randomized; Recording of previous events; Relapse; Reporting; Research; Research Support; Risk; Sampling; Services; Severities; Shapes; Social Phobia; Staging; Structural Models; Structure; Students; Symptoms; Techniques; Testing; Time; Training; Translating; Treatment Protocols; Treatment outcome; Work; addiction; alcohol abuse therapy; alcohol relapse; alcohol research; alcohol use disorder; alcoholism therapy; base; career; career development; drinking; effective therapy; expectation; experience; falls; follow up assessment; follow-up; improved; interest; problem drinker; programs; psychosocial; response; skills; theories; trait; treatment planning; treatment program; use alcohol to cope

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.

描述（由申请人提供）：该K02申请的目的是允许候选人将其分配给研究和相关职业发展活动的时间从预计的年平均值在25-45％之间，而K02的年平均水平则增加到K02的75-80％之间。 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).这将通过涉及的特定职业发展目标来实现：1）与导师和合作者的互动（15％）； 2）假设测试（25％）； 3）正规课程/培训（25％）； 4）学术生产（25％）； 5）教学/服务（10％）。 “父级R01”（“ CBT治疗合并症中的焦虑症治疗” /\ A0105069）针对的是400名接受标准基于社区的酒精中毒治疗计划的患者的样本，这些患者也被诊断出患有至少几种常见的合并症焦虑症和情感（“内在化”）疾病。除了酒精治疗外，患者还接受了两种内在疾病的社会心理治疗之一。 LV-SEM将允许候选人在父级R01数据集中高度相关的内部化疾病/症状在经验上分配到不同的与常见组件中，从而在因果模型中可能与酒精和内部治疗结果相关。接下来，候选人将在社区，基于学生和精神病学的数据集中复制这些模型，这些数据集是公开可用的（例如Nesarc），或者通过其合作者（例如，Ken Sher和Carrie Randall博士）获得。这些努力将在经验上为患有酒精使用障碍的人所遇到的内在化问题以及这些人群与酒精中毒和精神病治疗之间的联系提供了一个简单的表征。长期的目标是为患有合并性内在疾病的酒精疾病开发更有效的治疗方法。相关性：通过进一步阐明酒精中毒治疗患者内部化疾病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性的能力。