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Using Ecological Momentary Assessment To Characterize Dynamic Patterns of E-Cigarette Use in Adults Planning to Quit Vaping

Using Ecological Momentary Assessment To Characterize Dynamic Patterns of E-Cigarette Use in Adults Planning to Quit Vaping
使用生态瞬时评估来表征计划戒烟的成年人使用电子烟的动态模式
批准号:
10242698
负责人:
Rachel Leni Rosen
金额:
$3.77万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2022-06-30

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中文摘要
翻译
项目总结/摘要 美国约有1080万成年人报告经常使用电子烟(“vaping”)。虽然电子烟 使用可能有一些潜在的戒烟援助,它可能会导致持续的,不必要的长期使用。 尽管大多数电子烟用户计划戒烟,但没有经验支持 专门针对电子烟使用的治疗资源,我们缺乏必要的关键信息, 制定有针对性的干预措施。我们将研究(1)电子烟的使用-以及尝试戒烟-如何在真实的中展开 时间,(2)哪些因素先于退出尝试(例如,意图戒烟,渴望,电子液体口味),以及(3)在什么时间 这些因素是相关的。目前的研究将使用生态瞬时评估(EMA), 独家每日电子烟用户谁报告计划在未来30天内戒烟,以表征动态 在这30天内电子烟的使用模式和戒烟尝试。 符合条件的参与者包括年龄在21岁至60岁之间的人,他们报告当前(过去6个月)每日电子邮件, 香烟使用,在未来30天内戒烟的兴趣,住在美国,有一个聪明的 拒绝使用香烟或每天使用FDA批准的戒烟援助来帮助戒烟的人 在过去的30天里。本研究有两个具体目标:(1)描述电子商务的总体模式, 成年电子烟使用者报告有兴趣在未来30天内戒烟,包括电子烟。 戒烟尝试和电子烟戒烟尝试的推定前因(例如,情绪,渴望,想要戒烟 戒烟能力的信心)和(2)检查电子烟之前的背景和个人因素 戒烟尝试以及这些因素提供近期未来戒烟最佳预测的时间段 尝试. 适度的增长曲线分析将使我们能够检查上下文和个人层面的因素在多大程度上 预测未来的电子烟戒烟尝试以及在什么时间段内。一个直接的预期结果, 建议是细化该领域对电子烟使用模式和短期前因的了解。 停止使用电子烟。这一建议的长期结果是增加了对目标的理解 对电子烟使用者进行干预,这将有助于开发新的电子烟治疗方法。 停止2018年,近5000万成年人报告使用任何烟草产品,包括电子烟, 吸烟导致了超过3000亿美元的与吸烟有关的疾病,也是世界上可预防死亡的主要原因。 美国的从该提案中获得的知识将完善该领域对电子烟使用的理解, 这将有助于减少与戒烟有关的行为,并将有助于减少与烟草有关的发病率和死亡率。
英文摘要
PROJECT SUMMARY/ABSTRACT Approximately 10.8 million adults in the United States report regular e-cigarette use (“vaping”). While e-cigarette use may have some potential as a smoking cessation aid, it may lead to continued, unwanted long-term use. Despite the fact that the majority of e-cigarette users plan to quit vaping there are no empirically supported treatment resources specifically designed to address e-cigarette use and we lack crucial information needed to develop targeted interventions. We will examine (1) how e-cigarette use – and attempts to quit – unfold in real time, (2) which factors precede quit attempts (e.g., intent to quit, cravings, e-liquid flavor), and (3) over what time period these factors are relevant. The current study will use ecological momentary assessment (EMA) with 100 exclusive daily e-cigarette users who report plans to quit vaping in the next 30 days to characterize dynamic patterns of e-cigarette use and quit attempts during that 30-day period. Eligible participants include those between the ages of 21 and 60 who report current (past 6 months) daily e- cigarette use, interest in quitting e-cigarettes within the next 30 days, live in the United States, have a smart phone, and who deny use of cigarettes or daily use of an FDA approved cessation aid to help quit e-cigarettes in the past 30 days. The proposed study has two specific aims: (1) To characterize the overall patterns of e- cigarette use in adult e-cigarette users reporting interest in quitting vaping within the next 30 days, including e- cigarette quit attempts and putative antecedents of e-cigarette quit attempts (e.g., mood, craving, intent to quit, confidence in ability to quit) and (2) To examine the contextual and person-level factors that precede e-cigarette quit attempts and the period of time over which these factors provide the best prediction of near-term future quit attempts. Moderated growth curve analyses will allow us to examine the extent to which contextual and person-level factors predict future e-cigarette quit attempts and over what time periods. An immediate expected outcome of this proposal is refinement of the field’s knowledge of e-cigarette use patterns and short-term antecedents of discontinuation of e-cigarette use. The long-term outcome of this proposal is increased understanding of targets for intervention among e-cigarette users which will aid in the development of novel treatments for e-cigarette cessation. In 2018, almost 50 million adults reported use of any tobacco product, including e-cigarettes, which is responsible for over $300 billion in smoking related illness and the leading cause of preventable death in the United States. Knowledge gained from this proposal will refine the field’s understanding of e-cigarette use and cessation-related behavior and will help reduce tobacco-related morbidity and mortality.
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