Longitudinal Substance Use Trajectories for Persons with Schizophrenia: An Applic

精神分裂症患者的纵向药物使用轨迹：一个应用

• 批准号: 8134427
• 负责人: Richard Van Dorn
• 金额: $ 0.96万
• 依托单位: UNIVERSITY OF SOUTH FLORIDA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2012-03-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8134427
• 关键词: Adult; Alcohol or Other Drugs use; Alcohols; Antipsychotic Agents; Cereals; Clinical; Clinical Data; Cognitive Therapy; Comorbidity; Complex; DA10; Data; Dependence; Detection; Distal; Drug usage; Effectiveness; Effectiveness of Interventions; Florida; Foundations; Freedom; Funding; General Population; Growth; Health Services; Heterogeneity; Illicit Drugs; Impairment; Individual; Intervention; Intervention Studies; Intervention Trial; Interview; Knowledge; Lead; Letters; Literature; Longitudinal Studies; Mental Depression; Mental Health; Mental disorders; Modeling; National Institute of Drug Abuse; National Institute of Mental Health; Outcome; Outpatients; Participant; Persons; Pharmaceutical Preparations; Pharmacotherapy; Phase; Population; Populations at Risk; Preparation; Prevalence; Principal Investigator; Probability; Provider; Psyche structure; Psychotic Disorders; Public Health; Publications; Quality of life; Recommendation; Request for Applications; Research; Research Personnel; Research Project Grants; Research Support; Risk; Risk Factors; Schizophrenia; Services; Study models; Subgroup; Substance Use Disorder; Substance abuse problem; Techniques; Technology Transfer; Testing; Universities; Victimization; Violence; Vulnerable Populations; Water; addiction; behavioral health; career; clinical practice; high risk; improved; intervention effect; member; programs; public health relevance; response; substance use prevention; treatment effect; treatment strategy

DESCRIPTION (provided by applicant): In recent years, methodological advances have provided researchers with improved techniques to model and study longitudinal data. The purpose of the proposed research is to apply growth mixture modeling (GMM), one of these new techniques, to the landmark, NIMH-funded Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study. The CATIE study includes data on 1,460 adults with schizophrenia. Interviews were conducted every 90 days over the course of 18 months. The proposed study will utilize GMM to: (a) describe the growth trajectories for substance use in persons with schizophrenia; (b) relate these growth trajectories of change to clinically and theoretically relevant variables, including medication and outpatient services; and (c) determine if different latent substance use classes have different outcomes, including those related to violence, victimization, psychosis, depression, and quality of life. Results from this study should provide substantive knowledge to behavioral health services practitioners about which classes of participants benefit from various treatments. The application requests two years of supplemental SOAR research support for Drs. Richard A. Van Dorn (Principal Investigator: University of South Florida), M. Scott Young and Beom Lee (Co-Investigators: University of South Florida). The proposed project will expand the clinical, empirical, and theoretical literature relating to substance use in persons with schizophrenia. Outcomes associated with the proposed project have the potential to yield significant public health and clinical benefits for this at-risk population. In this context, persons with schizophrenia are a vulnerable population that evinces complex clinical profiles, which increases risks for substance use and other negative outcomes at higher rates than are present in people with other mental illnesses or members of the general public. PUBLIC HEALTH RELEVANCE: Outcomes from this project will have important implications for improving detection and clinical practice to help reduce or prevent substance use for persons with schizophrenia. Substance use in this population represents a significant public health concern as the prevalence is significantly higher in persons with schizophrenia compared to rates found with other mental illnesses or in the general population.

描述（由申请人提供）：近年来，方法学的进步为研究人员提供了改进的技术来建模和研究纵向数据。拟议研究的目的是将这些新技术之一的生长混合模型（GMM）应用于具有里程碑意义的NIMH资助的临床抗精神病药物干预有效性试验（CATIE）研究。CATIE研究包括1，460名精神分裂症成年人的数据。在18个月的时间里，每90天进行一次访谈。拟议的研究将利用GMM来：（a）描述精神分裂症患者使用物质的增长轨迹;（B）将这些变化的增长轨迹与临床和理论相关变量（包括药物和门诊服务）联系起来;（c）确定不同的潜在物质使用类别是否具有不同的结果，包括与暴力、受害、精神病、抑郁和生活质量相关的结果。这项研究的结果应该为行为健康服务从业者提供关于哪些类别的参与者从各种治疗中受益的实质性知识。该申请要求为Richard A.货车多恩（主要研究者：南佛罗里达大学），M。Scott Young和Beom Lee（合作研究者：南佛罗里达大学）。拟议的项目将扩大与精神分裂症患者使用药物有关的临床、经验和理论文献。与拟议项目相关的成果有可能为这一高危人群带来重大的公共卫生和临床益处。在这种情况下，精神分裂症患者是一个弱势群体，其临床表现复杂，增加了使用药物和其他负面后果的风险，其比例高于其他精神疾病患者或普通公众。 公共卫生关系：该项目的成果将对改善检测和临床实践，以帮助减少或预防精神分裂症患者的物质使用产生重要影响。这一人群中的药物使用是一个重大的公共卫生问题，因为精神分裂症患者的患病率明显高于其他精神疾病患者或一般人群。