E-cigarette device and liquid characteristics and E-cigarette dependence: A pilot study of pod-based and disposable E-cigarette users,Addictive Behaviors

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E-cigarette device and liquid characteristics and E-cigarette dependence: A pilot study of pod-based and disposable E-cigarette users
Addictive Behaviors ( IF 4.4 ) Pub Date : 2021-09-13 , DOI: 10.1016/j.addbeh.2021.107117
Elizabeth K Do ₁ , Katie O'Connor ₂ , Siobhan N Perks ₂ , Eric K Soule ₃ , Thomas Eissenberg ₄ , Michael S Amato ₅ , Amanda L Graham ₅ , Corby K Martin ₆ , Christoph Höchsmann ₆ , Bernard F Fuemmeler ₇

Affiliation

Schroeder Institute at Truth Initiative, Washington, DC, USA; Department of Health Behavior and Policy, Virginia Commonwealth University, USA; Department of Epidemiology, Milken Institute of Public Health, The George Washington University, Washington, DC, USA.
Schroeder Institute at Truth Initiative, Washington, DC, USA.
Department of Health Education and Promotion, Milken Institute School of Public Health, East Carolina University, Greenville, NC, USA; Center for the Study of Tobacco Products, Psychology Department (Health Program), Virginia Commonwealth University, Richmond, VA, USA.
Center for the Study of Tobacco Products, Psychology Department (Health Program), Virginia Commonwealth University, Richmond, VA, USA.
Truth Initiative Innovations Department, Washington, DC, USA; Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Department of Health Behavior and Policy, Virginia Commonwealth University, USA; Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.

Background

E-cigarette device and liquid characteristics, such as electrical power output and liquid nicotine concentration, determine the rate at which nicotine is emitted from the e-cigarette (i.e., nicotine flux), and thus are likely to influence user nicotine dependence. We hypothesize that nicotine flux would be associated with the E-cigarette Dependence Scale (EDS) among pod-based and disposable e-cigarette products.

Methods

Data were obtained from online panel participants between 18 and 65 years of age, who had indicated that they were either former or current e-cigarette users and resided within the United States (N = 1036). To be included in these analyses, participants had to provide information regarding device type (pod-based or disposable), power (watts), and nicotine concentration (mg/mL), from which we could determine nicotine flux (µg/s) (N = 666). To assess the relationship between nicotine flux and EDS, a series of multivariable linear regressions were conducted. Each model was separated by device type and adjusted for by age and past 30-day e-cigarette use.

Results

Greater nicotine flux was associated with higher EDS scores among pod-based e-cigarette users (beta = 0.19, SE = 0.09, p-value = 0.043), but not users of disposable e-cigarettes. Neither power nor nicotine concentration were associated with EDS scores among users of either e-cigarette device type.

Conclusion

Results support the hypothesis that nicotine flux is positively associated with nicotine dependence in a sample of current users of pod-based and disposable e-cigarettes.

中文翻译：

电子烟装置和液体特性以及电子烟依赖性：基于烟弹和一次性电子烟用户的初步研究

背景

电子烟装置和液体特性，例如电力输出和液体尼古丁浓度，决定了电子烟释放尼古丁的速率（即尼古丁通量），因此可能会影响用户对尼古丁的依赖性。我们假设尼古丁通量与基于烟弹和一次性电子烟产品的电子烟依赖量表 (EDS) 相关。

方法

数据来自 18 至 65 岁之间的在线小组参与者，他们表示他们以前或现在是电子烟用户并且居住在美国境内 (N = 1036)。要包含在这些分析中，参与者必须提供有关设备类型（基于烟弹或一次性）、功率（瓦特）和尼古丁浓度（mg/mL）的信息，我们可以从中确定尼古丁通量（µg/s）（ N = 666）。为了评估尼古丁流量和 EDS 之间的关系，进行了一系列多变量线性回归。每个模型都按设备类型分开，并根据年龄和过去 30 天的电子烟使用情况进行调整。