Measurement Timing in Growth Mixture Modeling of Alcohol Trajectories

酒精轨迹生长混合物模型中的测量时序

• 批准号: 8060825
• 负责人: Anne Marie Fairlie
• 金额: $ 3.32万
• 依托单位: UNIVERSITY OF RHODE ISLAND
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8060825
• 关键词: Adolescence; Adolescent; Advisory Committees; Affect; Alcohol abuse; Alcohol consumption; Alcoholism; Alcohols; Area; Biological; Cereals; Data; Decision Making; Development; Distal; Exhibits; Future; Growth; Individual; Intercept; Intervention Studies; Knowledge; Longitudinal Studies; Longitudinal Surveys; Measurement; Measures; Modeling; National Institute on Alcohol Abuse and Alcoholism; Outcome; Pattern; Positioning Attribute; Prevalence; Prevention; Preventive Intervention; Public Health; Reporting; Research; Research Design; Research Personnel; Shapes; Societies; Study models; Subgroup; Surgeon; Techniques; Time; United States Dept. of Health and Human Services; Variant; Youth; abstracting; alcohol behavior; base; design; drinking; drinking behavior; improved; interest; intervention program; longitudinal design; public health relevance; simulation; social; trend; underage drinking; young adult

DESCRIPTION (provided by applicant): Abstract: Alcohol use during adolescence and young adulthood remains a critical area for research, which is well-recognized by the National Institute on Alcohol Abuse and Alcoholism's (NIAAA) Underage Drinking Research Initiative and the report from the Task Force of the National Advisory Council on Alcohol Abuse and Alcoholism (2002). Alcohol use and its negative consequences are a significant public health concern given the biological, social, and environmental effects they exert on individuals and society. It is important to better understand the variable patterns of alcohol use that individuals exhibit over time (e.g., consistently low alcohol use, rapidly increasing alcohol use) during this key developmental period. Growth mixture modeling (GMM) is a statistical technique that is used to identify latent subgroups of individuals who exhibit distinct patterns of alcohol use over time. Despite the widespread use of GMM, a limited number of studies have examined how study design factors may affect alcohol use trajectories used to identify latent subgroups in GMM. The proposed research focuses specifically on the effect of measurement timing (i.e., number and spacing of assessments) in longitudinal studies. Decision-making about how to space assessments is particularly challenging in the context of GMM, because the hypothesized latent subgroups may exhibit different trends in alcohol use over time based on design features rather than actual changes. This project proposes to investigate how measurement timing affects the shape of individuals' alcohol use trajectories in the context of GMM. The specific aims are to: (1) conduct a Monte Carlo simulation study that evaluates how the number and spacing of assessments affects the alcohol use trajectories used to identify latent alcohol use subgroups in GMM; (2) provide an application of GMM using alcohol data from the National Longitudinal Survey of Youth 1997 that demonstrates the extent to which the number and spacing of assessments affects the alcohol use trajectories used to identify the latent subgroups; and (3) communicate the findings to both quantitative and applied researchers and suggest specific considerations for designing longitudinal GMM studies. The main implication of the proposed research is to aid applied researchers in designing GMM studies that adequately measure the patterns of alcohol use that individuals exhibit over time. Researchers may then conduct more fine-grained examinations of etiological predictors of and distal outcomes associated with the latent class trajectories. These and subsequent findings may also facilitate identification of individuals for prevention or intervention programs based on information about the predictors of particular alcohol use trajectories. PUBLIC HEALTH RELEVANCE: Project Narrative: The proposed research seeks to enhance our knowledge of how to best measure individuals' patterns of alcohol use during adolescence and young adulthood, which is a key period for the development of alcohol- related behaviors. As indicated in the Surgeon General's report (U.S. Department of Health and Human Services, 2007), it is important to understand individuals' patterns of alcohol use over time given the implications such understanding has for tailoring prevention and intervention programs to individuals who exhibit particular patterns of alcohol use.

描述（由申请人提供）： 摘要：青春期和成年期间的饮酒仍然是研究的关键领域，美国国家酒精滥用与酒精中毒研究所（NIAAA）未成年饮酒研究计划以及国家酒精滥用与酒精中毒咨询委员会的报告（2002年）对此进行了很好的认可。鉴于他们对个人和社会的生物学，社会和环境影响，饮酒及其负面影响是一个重大的公共卫生问题。重要的是要更好地理解个人随着时间的流逝而表现出的可变饮酒方式（例如，在此关键的发育时期内持续降低酒精的使用，迅速增加酒精的使用）。生长混合物建模（GMM）是一种统计技术，用于鉴定随着时间的推移表现出不同饮酒模式的个体的潜在亚组。尽管GMM广泛使用，但数量有限的研究研究了研究设计因素如何影响用于鉴定GMM中潜在亚组的酒精使用轨迹。拟议的研究专门介绍了纵向研究中测量时间的影响（即评估的数量和间隔）。在GMM的背景下，关于如何进行空间评估的决策尤其具有挑战性，因为假设的潜在亚组可能会根据设计功能而不是实际的变化表现出随着时间的推移而在酒精使用的不同趋势。 该项目建议研究在GMM的背景下，测量时间如何影响个人酒精使用轨迹的形状。具体目的是：（1）进行蒙特卡洛模拟研究，该研究评估评估的数量和间距如何影响用于鉴定GMM中潜在酒精使用亚组的酒精使用轨迹； （2）使用来自国家青年纵向调查的酒精数据提供了GMM的应用，该数据证明了评估的数量和间距在多大程度上影响用于识别潜在亚组的酒精使用轨迹； （3）将发现与定量研究人员传达，并提出了设计纵向GMM研究的特定考虑因素。拟议研究的主要意义是帮助应用研究人员设计GMM研究，以充分测量个人随着时间的推移表现出的酒精使用方式。然后，研究人员可以对与潜在类轨迹相关的病因预测因子和远端结果进行更细粒度的检查。这些和随后的发现也可能促进基于有关特定酒精使用轨迹的预测因子的信息，以识别用于预防或干预计划的个人。 公共卫生相关性： 项目叙述：拟议的研究旨在增强我们对如何最好地衡量个人在青春期和成年期饮酒模式的了解，这是发展与酒精相关行为的关键时期。正如外科医生的报告（美国卫生与公共服务部，2007年）所示，重要的是要了解个人随时间使用酒精的模式，鉴于这种理解对预防预防和干预计划的意义，对表现出特定饮酒方式的个人。