Pope Ian, Clark Allan, Clark Lucy, Ward Emma, Stirling Susan, Belderson Pippa, Notley Caitlin
Norwich Medical School, University of East Anglia, Norwich, UK.
Tob Use Insights. 2024 Oct 30;17:1179173X241283470. doi: 10.1177/1179173X241283470. eCollection 2024.
E-cigarettes have been shown to be effective for tobacco smoking cessation. Predicting those who are most likely to achieve smoking abstinence after receiving an e-cigarette based smoking cessation intervention could help to target interventions more efficiently.
A secondary analysis of baseline characteristics of 505 people who received an emergency department based smoking cessation intervention incorporating brief advice, provision of an e-cigarette starter kit and referral to stop smoking services. Gender, ethnicity, age, employment status, deprivation, partner smoking status, cigarettes per day, motivation to quit, cigarette dependence and previous e-cigarette use were assessed as predictors of abstinence. Self-reported smoking status was collected 6 months after intervention delivery.
At 6 months 169/505 (33%) of those who received the intervention self-reported abstinence. The groups that were more likely to report having quit were females (37.4% of females vs 31.0% of males), older people (41.1% of over 50s vs 33.3% of under 35s), lighter smokers (36.4% of those who smoked less than 10 cigarettes per day vs 30.7% for those who smoked over 20) and more motivated quitters (35.6% for those with high motivation vs 29.2% for those with low motivation). However, in multiple logistic regression, when adjusting for the other factors, no factors significantly predicted smoking abstinence. Degree of nicotine dependence was very similar between those who quit and those who did not.
The study found no baseline factors that could predict successful smoking cessation with e-cigarettes. Consequently, this study does not support the use of a targeted e-cigarette-based smoking cessation intervention, suggesting the adoption of a more universal approach.
电子烟已被证明对戒烟有效。预测那些在接受基于电子烟的戒烟干预后最有可能实现戒烟的人，有助于更有效地确定干预目标。
对505名接受基于急诊科的戒烟干预的人员的基线特征进行二次分析，该干预包括简短建议、提供电子烟启动套件以及转介至戒烟服务机构。评估性别、种族、年龄、就业状况、贫困程度、伴侣吸烟状况、每日吸烟量、戒烟动机、对香烟的依赖程度以及以前是否使用过电子烟，作为戒烟的预测因素。在干预实施6个月后收集自我报告的吸烟状况。
在6个月时，接受干预的人中169/505（33%）自我报告已戒烟。更有可能报告已戒烟的群体包括女性（女性为37.4%，男性为31.0%）、年龄较大者（50岁以上者为41.1%，35岁以下者为33.3%）、吸烟量较轻者（每天吸烟少于10支的人为36.4%，每天吸烟超过20支的人为30.7%）以及戒烟动机更强者（高动机者为35.6%，低动机者为29.2%）。然而，在多因素逻辑回归分析中，在对其他因素进行调整后，没有因素能显著预测戒烟情况。戒烟者和未戒烟者的尼古丁依赖程度非常相似。
该研究未发现可预测使用电子烟成功戒烟的基线因素。因此，本研究不支持采用有针对性的基于电子烟的戒烟干预措施，建议采用更普遍的方法。
