Optimizing Hookah Tobacco Public Education Messages to Reduce Young Adult Use

项目概述水烟(即水烟、水烟、水烟)是最常用的烟草之一 这些产品在美国年轻人中很受欢迎。水烟使吸烟者接触到高水平的致癌物质和其他 有害的毒物，可导致成瘾，并与癌症和其他负面健康后果有关。 尽管有这些证据，年轻人并不认为水烟有害或上瘾，他们相信间歇性的社交用途 风险很小，而且像调味品这样有吸引力的产品特征有助于在这一人群中越来越多地使用。这个 食品和药物管理局(FDA)的推定规则将FDA定位为参与公共教育信息 以年轻人为目标，纠正普遍存在的对水烟的误解，抵消上诉的影响 调味品。我们的研究表明，传递危害和对水烟上瘾的信息可以激励 停止年轻的成年水烟使用者，并减少易受影响的非使用者使用水烟的意图。超越 不幸的是，这项研究几乎没有证据表明如何优化设计水烟公共教育 针对年轻人的信息。本研究旨在找出最佳水烟公共教育讯息 4个主题(健康危害、上瘾、社交用途、调味品)中的内容，并通过 严谨、多方法的方法。我们将部署心理生理措施来捕捉认知 在本地招募的样本中处理、食欲和厌恶的情绪反应和注意力，以识别 以最佳方式参与对消息有效性至关重要的生理过程的消息内容。我们会 还可以使用有效的消息自我报告方法在大型众包样本中测试消息 参与度、接受度、情绪反应和水烟信念。此过程将确定最佳消息 4个主题中的每一个主题中的内容。然后，我们将在年轻人水烟中进行前瞻性的信息效果测试 吸烟者和非吸烟者在一项随机试验中使用水烟。招募的参与者 来自全国消费者研究小组的成员将完成基线测量，并随机分成两组： 水烟公众教育信息或控制。消息传递部门的参与者将每周收到水烟 为期4周的教育信息，并将完成信息接受性、参与度、 以及与水烟相关的结果。控制臂参与者每周将收到与烟草无关的消息， 并将完成同样的每周测量。行为结果与假想的信息中介 暴露后1个月、3个月和6个月将重新评估影响。这项研究将填补这一关键空白 通过演示如何优化设计水烟公共教育来进行烟草监管研究 以年轻人为目标的信息，并前瞻性地测试其有效性。这一证据对提供信息至关重要 FDA的公众教育活动，我们严格的多方法方法提供数据以满足FDA的要求 根据其对烟草使用者和非使用者的影响并通过了解 它们对个人和人口层面的结果的影响。

Project Summary Hookah (i.e., shisha, narghile, waterpipe) is one of the most commonly used tobacco products among US young adults. Hookah tobacco exposes users to high levels of carcinogens and other harmful toxicants, can lead to addiction, and is associated with cancer and other negative health outcomes. Despite this evidence, young adults do not view hookah as harmful or addictive, believe intermittent social use poses few risks, and appealing product features like flavorings contribute to growing use in this population. The Food and Drug Administration's (FDA) deeming rule positions FDA to engage in public education messaging targeting young adults to correct pervasive misbeliefs about hookah and offset the influence of appealing flavorings. Our research indicates messages conveying harms and addictiveness of hookah can motivate cessation in young adult hookah users and reduce susceptible non-users' intentions to use hookah. Beyond this research, there is unfortunately little evidence on how to optimally design hookah public education messages targeting young adults. This study aims to identify optimal hookah public education message content within 4 themes (Health Harms, Addiction, Social Use, Flavoring) and test message effects through a rigorous, multi-method approach. We will deploy psychophysiological measures capturing cognitive processing, appetitive and aversive emotional response, and attention in a locally-recruited sample to identify message content that optimally engages physiological processes that are crucial to message efficacy. We will also test the messages in a large crowdsourced sample using valid self-report measures of message engagement, receptivity, emotional response, and hookah beliefs. This process will identify optimal message content within each of the 4 themes. We will then test message effects prospectively in young adult hookah tobacco users and non-users who are susceptible to hookah use in a randomized trial. Participants recruited from a national consumer research panel will complete baseline measures and be randomized to two arms: hookah public education messaging or control. Participants in the messaging arm will receive weekly hookah education messages for 4 weeks and will complete brief assessments of message receptivity, engagement, and hookah-related outcomes. Control arm participants will receive weekly messages unrelated to tobacco, and will complete the same weekly measures. Behavioral outcomes and hypothesized mediators of message effects will be re-assessed 1-, 3-, and 6-months after the exposure period. This study will fill a critical gap in the tobacco regulatory research by demonstrating how to optimally design hookah tobacco public education messages targeting young adults and testing their efficacy prospectively. This evidence is crucial to inform FDA public education activities, and our rigorous multi-method approach provides data to meet FDA's mandate to shape regulatory measures based on their effects on tobacco users and non-users, and by understanding their effect on individual- and population-level outcomes.