Graphic and text-based waterpipe warning labels to combat harm misperceptions

项目总结 水烟斗(WP)吸烟在美国年轻人中很普遍，高达40%的 大学生报告说，在过去的一年里使用了水管。它越来越受欢迎的部分原因是 错误地认为水烟斗吸烟是安全的，或者至少比其他形式的烟草危害小 抽烟。然而，水管主流烟雾中含有有害和潜在有害的水平。 比香烟烟雾中的成分高出10-100倍的成分。食品与药品 美国食品和药物管理局(FDA)要求可湿性粉剂烟草的包装上只有一条关于 尼古丁的成瘾。然而，这项任务的效力有限，因为以前 研究表明，图形警告标签更有效，因为可湿性粉剂吸烟者不会 在大多数可湿性粉剂吸烟的社交场所与烟草包互动。这些 父母赠款的总体目标是调查 在吸烟行为可湿性粉剂本身上放置纯文字或图形加文字的健康警告标签。 本附录中建议的研究将通过调查小说来补充父母的资助 家长赠款(PG)目标1和2中的结果建模方法。在补充目标1中，我们将 开发眼球跟踪数据的动态模型，以便更好地了解警告的最佳位置 WPS上的标签。在补充目标2中，我们将开发用于吸烟地形数据的多变量模型 它将识别可湿性粉剂警告标签对吸烟行为的影响，这些影响在标准单项中被忽略 结果模型。

PROJECT SUMMARY Waterpipe (WP) tobacco smoking is prevalent among young adults in the United States with up to 40% of college students reporting waterpipe use in the past year. Its increasing popularity is partly caused by the misperception that waterpipe smoking is safe or at least less harmful than other forms of tobacco smoking. However, waterpipe mainstream smoke contains levels of harmful and potentially harmful constituents that are 10-100 times higher than those in cigarette smoke. The Food and Drug Administration (FDA) mandates that packages of WP tobacco carry a text-only message about the addictiveness of nicotine. However, the effectiveness of this mandate is limited because previous research suggests that graphic warning labels are more effective, and because WP smokers will not interact with the tobacco package in the social venues where most WP smoking is done. These limitations are addressed by the overarching objective of the parent grant to investigate the impact of the placement of text-only or graphic-with-text health warning labels on the WP itself on smoking behavior. The research proposed in this supplement will complement the parent grant by investigating novel approaches to modeling outcomes in Parent Grant (PG) Aims 1 and 2. In Supplement Aim 1, we will develop dynamic models for eye tracking data which will better inform optimal placement of warning labels on WPs. In Supplement Aim 2, we will develop multivariate models for smoking topography data which will identify effects of WP warning labels on smoking behavior that are ignored in standard single outcome models.