A New Approach for the Analysis of Stage-Sequential Process in Substance Use Beha

物质使用行为阶段顺序过程分析的新方法

• 批准号: 7569882
• 负责人: Hwan Chung
• 金额: $ 15.78万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7569882
• 关键词: Address; Adopted; Alcohol or Other Drugs use; Archives; Behavior; Behavioral; Behavioral Sciences; Class; Classification; Computer software; Computing Methodologies; Data; Development; Developmental Process; Drug abuse; Gender; Goals; Guidelines; Health Benefit; Individual; Information Dissemination; Journals; Knowledge; Link; Manuals; Methods; Modeling; Nature; Numbers; Online Systems; Outcome; Paper; Pattern; Pharmaceutical Preparations; Play; Population; Process; Public Health; Reading; Recommendation; Research; Research Personnel; Resources; Risk Factors; Role; Scientist; Series; Sex Characteristics; Staging; Standards of Weights and Measures; Statistical Methods; Statistical Models; Subgroup; Substance abuse problem; Testing; Time; Work; base; information gathering; innovation; interest; novel strategies; open source; response; sex; software development; sound; statistics; tool

DESCRIPTION (provided by applicant): The analysis of stage-sequential process plays an important role in behavioral and biomedical applications, particularly in the study of developmental processes of substance use behavior. Using a stage-sequential process, researchers are able to explore sequential patterns of substance use behavior and find optimal opportunities for intervening in the onset process. The proposed research will develop an innovative statistical framework, the Latent Class-Profile Analysis (LCPA), which will be ideally suited to this type of research. LCPA will provide a set of principles for systematic identification of homogeneous subgroups of individuals by dividing identification processes into two levels: at the first level, LCPA identifies discrete classes of individuals who have similar responses to the items at each occasion (latent class); at the second level, LCPA examines individuals' class membership over the entire set of time points so as to classify the population into two or more subgroups. All individuals in a second-level subgroup are expected to have the similar sequential pattern of substance use behavior over time (latent class-profile). This approach allows us to make no further assumptions about the nature of the classes and their sequential patterns. For example, individuals classified into a specific class-profile can have both dimensional and configurational similarity in their substance abuse initiation and progression. In addition, no common precepts of behavioral patterns in substance use are required to identify stage-sequential processes of substance use. This type of information cannot be accomplished by the current available methods. We will establish the ability of LCPA to link potential risk factors to stage-sequential process of substance use behavior. This will allow us to investigate subgroup (e.g. gender/sex) differences in patterns of substance abuse initiation and progression along with subject-specific differences. An important goal of the proposed study is a better methodological understanding of how to investigate stage-sequential development in substance use behavior, and how to apply to real data examples in a responsible manner. This work will integrate recent advances in statistics with pressing needs for new tools in substance abuse research. With information gathered from this study, we will develop guidelines and conduct secondary analyses to provide practical recommendations in the context of drug abuse research. An open-source computer software will be developed to make LCPA accessible to a wide audience. This will provide a rich toolkit for investigating the substance abuse initiation and progression and its relationships to risk factors. PUBLIC HEALTH RELEVANCE: The analysis of stage-sequential process plays an important role in behavioral and biomedical applications, particularly in the study of developmental processes of substance use behavior. The proposed research will develop an innovative statistical framework to investigate stage-sequential process in substance abuse initiation and progression. The project includes dissemination of information to substance use scientists about how to apply the proposed methods for their research.

描述（由申请人提供）：阶段顺序过程分析在行为和生物医学应用中起着重要作用，特别是在物质使用行为发展过程的研究中。使用阶段顺序过程，研究人员能够探索物质使用行为的顺序模式，并找到干预发病过程的最佳机会。拟议的研究将开发一个创新的统计框架，即潜在类别分析（LCPA），这将非常适合这类研究。LCPA将通过将识别过程分为两个层次，为系统识别同质子群体的个体提供一套原则：在第一级，LCPA识别在每种情况下对项目有相似反应的离散类个体（潜在类）；在第二层，LCPA在整个时间点集合上检查个人的阶级成员，以便将人口划分为两个或多个子群体。二级亚组的所有个体都有相似的物质使用行为随时间的顺序模式（潜在类别特征）。这种方法允许我们不再对类的性质及其顺序模式做进一步的假设。例如，被划分为特定类别的个体在其药物滥用的开始和进展中可能具有维度和结构上的相似性。此外，不需要物质使用行为模式的共同准则来确定物质使用的阶段顺序过程。目前可用的方法无法完成这类信息。我们将建立LCPA将潜在风险因素与药物使用行为的阶段顺序过程联系起来的能力。这将使我们能够调查亚组（例如性别/性别）在药物滥用开始和进展模式方面的差异以及受试者特定差异。提出的研究的一个重要目标是更好地理解如何调查物质使用行为的阶段顺序发展，以及如何以负责任的方式应用于实际数据示例。这项工作将把统计方面的最新进展与对药物滥用研究新工具的迫切需要结合起来。根据这项研究收集的信息，我们将制定指导方针并进行二次分析，为药物滥用研究提供切实可行的建议。将开发一个开源的计算机软件，使LCPA能够被广泛的受众使用。这将为调查药物滥用的开始和发展及其与危险因素的关系提供丰富的工具包。公共卫生相关性：阶段顺序过程的分析在行为和生物医学应用中起着重要作用，特别是在研究物质使用行为的发展过程中。拟议的研究将开发一个创新的统计框架，以调查药物滥用开始和进展的阶段顺序过程。该项目包括向物质使用科学家传播有关如何将拟议方法应用于其研究的信息。