Department of Psychology, 53 Campus Drive, 2214 Life Sciences Building, West Virginia University, Morgantown, WV 26506, United States.
Milken Institute School of Public Health, 800 22nd Street NW #7000C, George Washington University, Washington, DC 20052, United States.
Addict Behav. 2022 Feb;125:107161. doi: 10.1016/j.addbeh.2021.107161. Epub 2021 Oct 21.
Electronic cigarettes (ECIGs) vary greatly in their ability to deliver nicotine, which suggests they may also vary in their ability to produce dependence. This study examined individual and combined ECIG device features, and also user behaviors, as predictors of dependence in never-smoking ECIG users. Methods Data were collected from 711 current ECIG users who had smoked <100 cigarettes in their lifetime at Wave 4 of the Population Assessment of Tobacco and Health (PATH) Study. Multivariable linear regressions examined individual (e.g., contains nicotine, uses a tank, flavor preference) and combined (e.g., refillable tanks, refillable mods) device features, and user behaviors (e.g., uses/day) as predictors of dependence, withdrawal, and craving after accounting for demographic variables. Results Results for ECIG dependence and craving showed a similar pattern; higher levels were observed for older age, more frequent past 30-day use, using an ECIG containing nicotine (vs no nicotine), and using a non-refillable cartridge or refillable tank style (vs disposables). Higher withdrawal levels were observed for higher education levels and individual device features of tank (vs no tank), cartridge (vs no cartridge), refillable (vs non-refillable), and "other" flavor preference (vs tobacco flavor). Lower withdrawal levels were associated with a preference for sweet/fruit flavor(s) (vs tobacco flavor). Conclusions Few use behaviors and device features, whether examined alone or in combination, predicted dependence-related outcomes. Findings underscore the challenge with regulating ECIG products in the current marketplace, which is inundated with a myriad of device types.
电子烟在提供尼古丁的能力上差异很大,这表明它们在产生依赖的能力上也可能有所不同。本研究考察了从未吸烟的电子烟使用者的个体和组合电子烟设备特征,以及使用者行为,作为依赖的预测因素。
方法 在 PATH 研究的第 4 波中,从 711 名当前电子烟使用者中收集了数据,这些使用者一生中吸烟量<100 支。多变量线性回归分析了个体(例如,含有尼古丁、使用罐式、口味偏好)和组合(例如,可再填充罐式、可再填充模块)设备特征,以及使用者行为(例如,每日使用量)作为依赖、戒断和渴望的预测因素,同时考虑了人口统计学变量。
结果 电子烟依赖和渴望的结果呈现出相似的模式;年龄较大、过去 30 天使用频率较高、使用含有尼古丁的电子烟(而不是不含尼古丁的电子烟)以及使用不可再填充的墨盒或可再填充的罐式(而不是一次性的)与更高的依赖水平有关。更高的戒断水平与更高的教育水平以及个体设备特征有关,包括罐式(而不是无罐式)、墨盒(而不是无墨盒)、可再填充(而不是不可再填充)和“其他”口味偏好(而不是烟草口味)。较低的戒断水平与对甜/水果口味(而不是烟草口味)的偏好有关。
结论 很少有使用行为和设备特征,无论是单独还是组合使用,都能预测与依赖相关的结果。研究结果突显了当前市场上监管电子烟产品的挑战,当前市场上充斥着各种类型的设备。