Cell Phone RDD Sampling to Reach Young Adults for Tobacco Control Surveillance

摘要 近年来，美国的吸烟率缓慢下降，年轻人继续吸烟。 是吸烟率最高的国家之一此外，新兴烟草产品的市场正在增长， 受到了很多媒体的关注。然而，人们对使用新兴产品的性质知之甚少， 传统烟草产品和年轻人使用多种烟草。目前的监视系统 监测和检查年轻人烟草使用轨迹的工作因抽样不足而受到影响 和数据收集方法，以达到这一重要的，但难以达到的人口。的研究 目前的资助期表明，手机随机数字拨号（RDD）是一种有效的， 创新的抽样方法，以达到在美国的年轻人的代表性样本。然而，在这方面， 这一人群的纵向数据仍然是迫切需要的，但由于技术上的限制， 在这样的环境下进行调查。因此，这一竞争性的续期申请旨在开发和 比较三种数据收集模式，纵向调查利用手机RDD和/或 智能手机技术以不同的方式。具体而言，我们的目标是：1）开发和实施创新的 采用手机RDD采样和移动的数据纵向跟踪年轻人的混合模式设计 收集技术，2）评估每种模式的优势和局限性，沿着数据质量指标， 通过随机实验进行纵向研究，3）使用收集的纵向数据探索年轻人 成人烟草使用轨迹在快速变化的时期。除了有潜力改善我们的 了解年轻人的烟草使用情况并支持有效的烟草控制监管政策， 研究可以为改善纵向数据的收集提供现实世界的解决方案， 更广泛地影响调查研究。

ABSTRACT In recent years, cigarette smoking prevalence in the U.S. has declined slowly and young adults continue to have among the highest rates of smoking. Moreover, the market for emerging tobacco products is growing and has received a lot of media attention. Yet very little is known about the nature of using emerging products, traditional tobacco products, and poly-tobacco use among young adults. Current surveillance systems to monitor and examine the trajectories of tobacco use in young adults are undermined by inadequate sampling and data collection methodologies for reaching this important but difficult to reach population. Research from the current funding period demonstrated that cellphone random digit dialing (RDD) is an effective and innovative sampling methodology to reach a representative sample of young adults in the US. However, longitudinal data in this population is still sorely needed, but remains challenging given the technological environment in which to conduct surveys. Therefore, this competing renewal application seeks to develop and compare three data collection modes to longitudinally survey young adults that leverage cellphone RDD and/or smartphone technology in different ways. Specifically, we aim to 1) develop and implement an innovative mixed mode design to follow young adults longitudinally using cellphone RDD sampling and mobile data collection technologies, 2) assess the strength and limitations of each mode along data quality indicators for longitudinal studies via a randomized experiment, and 3) use collected longitudinal data to explore young adults' tobacco use trajectories during a time of rapid change. In addition to its potential to improve our understanding of tobacco use in young adults and support effective tobacco control regulatory policy, this research may provide real-world solutions for improving the collection of longitudinal data as well as more far reaching implications for survey research more generally.