The Effects of Electronic Cigarette Use on Alcohol Consumption: A Neurocognitive and Behavioral Investigation

 描述（由申请人提供）：该项目旨在研究电子烟（e-cigs）如何在控制良好的实验室环境中影响酒精使用。我的总体模型提出，1）电子烟的使用导致对酒精线索的注意力偏差，2）电子烟的使用导致酒精消费增加，3）这些行为和神经认知模式与自我报告的同时饮酒和电子烟使用有关，以及自我报告的对电子烟和酒精的渴望。虽然电子烟使用和酒精消费之间的关系得到了横截面数据的支持[1-4]，但研究还没有通过实验来检验我的总体模型，电子烟的使用会影响影响酒精消费的神经认知和行为反应。拟议的研究将使用眼动跟踪点探测任务，随意口服酒精消费范式，电子烟喷烟和饮酒的行为跟踪，自我报告的酒精和电子烟使用措施，自我报告的渴望措施，以评估我的综合模型。主要研究假设为：1）与没有电子烟启动时相比，使用电子烟启动的个体将对酒精线索表现出更大的注意力偏差，如在点探测任务期间使用眼动跟踪测量所评估的，2）电子烟启动后对酒精线索的注意偏向强度将与自我报告的同时使用酒精和电子烟有关，如通过时间轴跟踪和自我报告的电子烟测量的。香烟和酒精的渴望，3）与不允许使用电子烟时相比，当允许在会话期间使用电子烟时，个体将随意消耗更多的酒精，4）在随意会话期间消耗的酒精量将与在随意会话期间使用电子烟的量显著相关，以及5）电子烟使用对酒精消耗的影响将与自我报告的同时酒精和电子烟使用相关，如通过时间轴跟踪和自我报告的电子烟和酒精渴望所测量的。考虑到电子烟通常是为了健康相关的好处而销售的，包括戒烟，并且它们被用来规避全面的禁烟令，实验研究电子烟的使用如何影响酒精消费势在必行。电子烟可能会通过增加酒精消费对个人造成意想不到的伤害。成功地证明这种效果将有助于推动该领域的发展，并进一步告知医疗保健提供者使用电子烟的安全性和潜在的无意负面后果。

 DESCRIPTION (provided by applicant): This project proposes to examine how electronic-cigarettes (e-cigs) influence alcohol use in a well-controlled laboratory setting. My overarching models proposes that 1) e-cig use results in attentional bias towards alcohol cues, 2) e-cig use results in increased alcohol consumption, and 3) these behavioral and neurocognitive patterns relate to self-reported concurrent alcohol and e-cig use, as well as self-report cravings for e-cig and alcohol. Although a relationship between e-cig use and alcohol consumption is supported by cross-sectional data [1-4], research has yet to experimentally examine my overarching model by which e-cig use influences neurocognitive and behavioral responses affecting alcohol consumption. The proposed study will use an eye-tracking dot-probe task, an ad libitum oral alcohol consumption paradigm, behavioral tracking of e-cig puffs and alcohol sips, self- report alcohol and e-cig use measures, and self-report craving measures to assess my integrative model. The main study hypotheses are: 1) Individuals primed with e-cig use will display a larger attentional bias towards alcohol cues, as assessed with eye-tracking measurement during a dot probe task, as compared to when there is no e-cig prime, 2) the strength of the attentional bias for alcohol cues following e-cig prime will be related to self-reported concurrent alcohol and e-cig use as measured by a timeline follow-back and self-reported e-cig and alcohol craving, 3) individuals will consume more alcohol ad libitum when allowed to use e-cigs during the session as compared to when e-cig use is not allowed, 4) the amount of alcohol consumed during the ad libitum session will be significantly related to the amount of e-cig use during the ad libitum session, and 5) the effect of e-cig use on alcohol consumption will be related to self-reported concurrent alcohol and e-cig use as measured by a timeline follow-back and self-reported e-cig and alcohol craving. Given that e-cigs are often marketed for health related benefits, including smoking cessation, and that they are used to circumvent comprehensive smoking bans, experimentally examining how e-cig use affects alcohol consumption is imperative. E-cigs could cause unintended harm to individuals by increasing alcohol consumption. Successfully demonstrating this effect will help advance the field and further inform health care providers concerning the safety and potential inadvertent negative consequences of e-cig use.