Population Core

摘要：人口核心 南加州大学TCORS中的项目将需要获得具有足够代表性的人口资源 烟草产品暴露、人群亚组和纵向随访。USC-TCORS人口 CORE(PC)将为中心提供足够大、多样化和跟踪良好的样本，以满足 提出的科学目标。我们利用了2013-2018年非常成功的初始资金期的数据，在此期间 我们开发和跟踪了两个队列，并保持了很好的保留率。对于2018-2023年，PC提出了以下建议 目标。目标1.扩大、跟踪、跟踪和评估中心范围的联合队列。PC将利用数据 在目前的奖项期间从两个青少年样本中收集，现在是年轻人，用于进一步的后续调查： (I)儿童健康研究(CHS)，该研究通过学校收集大量吸烟信息 从青春期早期开始，并从16-18岁开始提供关于烟草产品使用的完整信息； 参与者将在2018年年龄在20-22岁(N=1,366)；以及(Ii)幸福与健康(H&H)研究，该研究有 自2013年14岁注册以来，全面的烟草产品使用信息和协变量；H&H PAR- 2018年参与者的年龄为18-19岁(N=2534)。使用现在成熟的方法，我们还将招募一名新的 更年轻的样本，烟草使用趋势调查(TITUS)研究，来自9年级教室(14岁) CHS和H&H最初来自的学校(N=2,500)。我们将整合这三种资源 合并成全中心6,400名青年和年轻人的队列。筹委会每年会就以下事项进行调查 利用开发的共同电子调查基础设施，在全中心范围内为P1和P3目标服务 与行政核心合作，确保各项目的共同调查项目。个人电脑将会 还收集和管理一个队列数据数据库，以供其他项目使用，快速恢复 赞助项目，与其他TCOR合作，以及初级调查员飞行员(来自职业生涯增强- MENT核心)。该数据库将用于二次数据分析项目，并用于识别有 P4中招募的精选特征。该数据库还将用于以下方面的共同目标： ING社交媒体暴露和吸烟对P1和P3的影响。最后，该数据库将成为Addi的资源-- 国家原始数据收集项目。目标2.为获得其他人口资源提供便利 南加州大学预防医学部内的中心范围队列。个人电脑将加强现有的连接- 有人口队列和档案数据库，包括许多不同的样本，并可利用这些数据库。在……里面 总而言之，PC队列将提供无与伦比的人口资源，在多样性、后续长度、手段- 测量强度和数据的丰富性。我们的资源将补充并向其他人提供独特的信息 通过提供人口统计数据进行烟草人口评估和健康调查等大样本 真实性、产品多样性评估和烟草产品暴露分析，这些都是其他方面无法获得的。

Abstract: Population Core The projects in the USC-TCORS will require access to population resources with sufficient representation of tobacco product exposures, population subgroups, and longitudinal follow-up. The USC-TCORS Population Core (PC) will provide the Center with a sufficiently large, diverse, and well-followed sample to address the proposed scientific goals. We leverage data from a highly successful 2013-2018 initial funding period, in which we developed and tracked two cohorts with excellent retention. For 2018-2023, PC proposes the following aims. Aim 1. Expand, follow, track, and assess a Center-wide combined cohort. The PC will leverage data collected during the current award from two samples of adolescents, now young adults, for additional follow-up: (i) the Children's Health Study (CHS), which has extensive smoking information collected through schools since early adolescence, and complete information on tobacco product use starting at age 16-18 years; CHS participants will be aged 20-22 in 2018 (N=1,366); and (ii) the Happiness and Health (H&H) study, which has comprehensive tobacco product use information and covariates since enrollment in 2013 at age 14; H&H par- ticipants will be aged 18-19 in 2018 (N=2,534). Using now well-established methods, we will also recruit a new younger sample, the Trends in Tobacco Use Survey (TITUS) study, from 9th grade classrooms (age 14) in schools where CHS and H&H were originally drawn from (N=2,500). We will integrate these three resources into combined Center-wide cohort of 6,400 youth and young adults. The PC will conduct annual surveys on the Center-wide cohort to serve P1 and P3 aims, utilizing a common electronic survey infrastructure developed in partnership with the Administrative Core and ensuring common survey items across projects. The PC will also collect and manage a database of cohort data to be made available for the other projects, Rapid Re- sponse Projects, collaborations with other TCORSs, and junior investigator pilots (from the Career Enhance- ment Core). The database will be used for secondary data analysis projects and to identify populations with selected characteristics for recruitment into P4. The database will also be drawn upon for shared aims regard- ing social media exposure and tobacco use for P1 and P3. Finally, the database will be a resource for addi- tional original data collection projects. Aim 2. Facilitate access to other population resources outside of the Center-wide cohort within the USC Department of Preventive Medicine. The PC will enhance existing connec- tions with and access to population cohorts and archival databases including numerous diverse samples. In sum, PC cohorts will provide an unmatched population resource in terms of diversity, follow-up length, meas- urement intensity, and richness of data. Our resource will complement and provide unique information to other large samples such as the Population Assessment of Tobacco and Health survey by providing population di- versity, product diversity assessment, and tobacco product exposure analysis that is not otherwise available.