Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, USA, 01605.
Department of Population and Quantitative Health Sciences, Division of Health Informatics and Implementation Science, UMass Chan Medical School, 368 Plantation Street, Worcester, MA, USA, 01605.
BMC Res Notes. 2024 Sep 27;17(1):276. doi: 10.1186/s13104-024-06939-w.
Digital interventions have been widely implemented to promote tobacco cessation. However, implementations of these interventions have not yet considered how participants' e-cigarette use may influence their quitting outcomes. We explored the association of e-cigarette use and quitting smoking within the context of a study testing a digital tobacco cessation intervention among individuals in the United States who were 18 years and older, smoked combustible cigarettes, and enrolled in the intervention between August 2017 and March 2019.
We identified four e-cigarette user groups (n = 990) based on the participants' baseline and six-month e-cigarette use (non-users, n = 621; recently started users, n = 60; sustained users, n = 187; recently stopped users, n = 122). A multiple logistic regression was used to estimate the adjusted odds ratios (AOR) of six-month quit outcome and the e-cigarette user groups. Compared to e-cigarette non-users, the odds of quitting smoking were significantly higher among recently stopped users (AOR = 1.68, 95% CI [1.06, 2.67], p = 0.03). Participants who were most successful at quitting combustible cigarettes also stopped using e-cigarettes at follow-up, although many sustained using both products. Findings suggest that digital tobacco cessation interventions may carefully consider how to promote e-cigarette use cessation among participants who successfully quit smoking.
ClinicalTrials.gov identifier NCT03224520 (July 21, 2017).
数字干预措施已广泛用于促进戒烟。然而,这些干预措施的实施尚未考虑参与者使用电子烟可能会如何影响他们的戒烟结果。我们在一项测试数字烟草戒烟干预措施的研究中探讨了电子烟使用与戒烟之间的关联,该研究在美国招募了年龄在 18 岁及以上、吸可燃香烟、并在 2017 年 8 月至 2019 年 3 月期间参加干预的个体。
我们根据参与者的基线和六个月的电子烟使用情况(非使用者、最近开始使用者、持续使用者、最近停止使用者)确定了四个电子烟使用者群体(n=990)。使用多因素逻辑回归估计了六个月戒烟结果与电子烟使用者群体的调整比值比(AOR)。与电子烟非使用者相比,最近停止使用者戒烟的几率显著更高(AOR=1.68,95%置信区间[1.06, 2.67],p=0.03)。在随访时,成功戒烟的参与者也停止使用电子烟,尽管许多人继续同时使用两种产品。这些发现表明,数字烟草戒烟干预措施可能需要仔细考虑如何在成功戒烟的参与者中促进电子烟的使用停止。
ClinicalTrials.gov 标识符 NCT03224520(2017 年 7 月 21 日)。