Research Program in Clinical Pharmacology, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA.
Univiersity of California, Berkeley, CA, USA.
Nicotine Tob Res. 2023 Jul 14;25(8):1489-1495. doi: 10.1093/ntr/ntad050.
This study examined user behavior, e-cigarette dependence, and device characteristics on nicotine intake among users of pod-mod e-cigarettes.
In 2019-2020, people who use pod-mods in the San Francisco Bay Area completed questionnaires and provided a urine sample for analysis of total nicotine equivalents (TNE). The relationship between TNE and e-cigarette use, e-cigarette brands, e-liquid nicotine strength, e-cigarette dependence, and urine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), as a measure of combustible cigarette exposure, were examined.
Of 100 participants (64% male, 71% in the 18-34 age group, 45% white), 53 used JUUL primarily, 12 used Puff Bar primarily, and 35 used other brands, including Suorin; 48 participants reported current cigarette smoking. Participants most often reported use of e-liquid with 4.5%-6.0% nicotine (68%), fruit (35%), tobacco (28%), and menthol or mint flavors (26%), used e-cigarettes on 25.5 (SD = 6.3) days a month, 10.2 (SD = 14.2) times a day, and 40% used 1-2 pods/cartridges per week. In bivariate analysis, urinary TNE was higher with greater frequency (days used) and intensity (number of pods used) of e-cigarette use, e-cigarette dependence, and combustible cigarette use. In multivariable analysis, days of e-cigarette use in the last 30 days, number of pods used per week, and NNAL levels were significantly associated with TNE. There was no significant impact of e-liquid nicotine strength on TNE.
Nicotine intake among people who used pod-mod e-cigarettes increased with e-cigarette consumption and e-cigarette dependence, but not with e-liquid nicotine strength. Our findings may inform whether FDA adopts a nicotine standard for e-cigarettes.
The study examined how device and user characteristics influence nicotine intake among pod-mod e-cigarette users. Nicotine intake increased with frequency (days of e-cigarette use in past 30 days) intensity of use (number of pods used per day) and e-cigarette dependence but not with the flavor or nicotine concentration of the e-liquids. Regulation of nicotine concentration of e-liquids is unlikely to influence nicotine exposure among adult experienced pod-mod users.
本研究考察了 pod-mod 电子烟使用者的用户行为、电子烟依赖和装置特征与尼古丁摄入的关系。
2019-2020 年,旧金山湾区使用 pod-mod 电子烟的人完成了问卷调查,并提供了尿液样本进行总尼古丁当量(TNE)分析。研究人员考察了 TNE 与电子烟使用、电子烟品牌、电子烟液尼古丁强度、电子烟依赖以及尿液中 4-(甲基亚硝氨基)-1-(3-吡啶基)-1-丁醇(NNAL)(衡量可燃香烟暴露的指标)之间的关系。
在 100 名参与者中(64%为男性,71%年龄在 18-34 岁之间,45%为白人),53 人主要使用 JUUL,12 人主要使用 Puff Bar,35 人使用其他品牌,包括 Suorin;48 名参与者报告目前吸烟。参与者最常报告使用 4.5%-6.0%尼古丁(68%)、水果(35%)、烟草(28%)和薄荷或薄荷醇口味(26%)的电子烟液,每月使用电子烟 25.5(SD=6.3)天,每天使用 10.2(SD=14.2)次,每周使用 1-2 个烟弹/烟盒。在单变量分析中,随着电子烟使用频率(使用天数)和强度(每周使用烟弹数)、电子烟依赖和可燃香烟使用的增加,尿中 TNE 水平升高。多变量分析显示,过去 30 天内使用电子烟的天数、每周使用的烟弹数和 NNAL 水平与 TNE 显著相关。电子烟液尼古丁强度对 TNE 没有显著影响。
使用 pod-mod 电子烟的人的尼古丁摄入量随着电子烟的使用和电子烟的依赖而增加,但与电子烟液尼古丁的强度无关。我们的研究结果可能为 FDA 是否采用电子烟尼古丁标准提供信息。
本研究考察了装置和用户特征如何影响 pod-mod 电子烟使用者的尼古丁摄入。尼古丁摄入随着电子烟使用的频率(过去 30 天内使用电子烟的天数)和强度(每天使用的烟弹数)以及电子烟依赖的增加而增加,但与电子烟液的口味或尼古丁浓度无关。电子烟液尼古丁浓度的监管不太可能影响成年经验丰富的 pod-mod 用户的尼古丁暴露。