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Addict Behav. 2018 Feb;77:137-142. doi: 10.1016/j.addbeh.2017.09.023. Epub 2017 Sep 30.
Emerging literature suggests that frequency of use of electronic cigarettes (e-cigarettes) may be an important moderating variable in the relationship between e-cigarette use and smoking cessation. However, few studies have focused specifically on treatment-seekers, a group that may differ in important ways from smokers in the general population. This study looks at the relationship between e-cigarette use frequency and abstinence among a sample of treatment-seeking tobacco users.
Seven-month follow-up survey data from N=2760 treatment-seeking tobacco users who utilized statewide tobacco quitlines in three states were used to assess the relationship between 30-day point prevalence abstinence and e-cigarette use frequency at follow-up. E-cigarette use was examined in two ways. First, we looked at any use in the past 30days versus no use. Additionally, past 30-day e-cigarette use frequency was categorized into four groups: 0days, 1-5days - infrequent, 6-29days - intermediate, 30days - daily. Logistic regression models were constructed predicting 30-day point prevalence tobacco abstinence.
Both infrequent (AOR=0.35; CI=0.20-0.59) and intermediate (AOR=0.50; CI=0.32-0.80) past 30-day e-cigarette use were associated with lower rates of tobacco abstinence versus no past 30-day use. However, daily e-cigarette users (AOR=1.16; CI=0.71-1.70) had similar 30-day abstinence when compared to non-users.
Results from this study of treatment-seekers support findings from studies of general population tobacco users that suggest frequency of e-cigarette use is an important moderating variable in the relationship between e-cigarette use and tobacco cessation. Future studies should employ more refined measures of e-cigarette use.
新出现的文献表明,电子烟(e-cigarettes)的使用频率可能是电子烟使用与戒烟之间关系的一个重要调节变量。然而,很少有研究专门关注寻求治疗的人群,这个群体可能与普通人群中的吸烟者在重要方面存在差异。本研究着眼于寻求治疗的烟草使用者样本中电子烟使用频率与戒烟之间的关系。
利用来自三个州全州烟草戒烟热线的 2760 名寻求治疗的烟草使用者的 7 个月随访调查数据,评估 30 天点流行率戒烟与随访时电子烟使用频率之间的关系。电子烟使用情况以两种方式进行检查。首先,我们观察过去 30 天内是否使用电子烟与未使用电子烟进行比较。此外,过去 30 天内电子烟使用频率分为四组:0 天、1-5 天-不频繁、6-29 天-中等、30 天-每天。构建逻辑回归模型预测 30 天点流行率烟草戒烟。
与过去 30 天内未使用电子烟相比,不频繁(AOR=0.35;CI=0.20-0.59)和中等(AOR=0.50;CI=0.32-0.80)过去 30 天电子烟使用与较低的烟草戒烟率相关。然而,与非使用者相比,每日使用电子烟者(AOR=1.16;CI=0.71-1.70)的 30 天戒烟率相似。
这项对寻求治疗者的研究结果支持了一般人群烟草使用者研究的结果,即电子烟使用频率是电子烟使用与戒烟之间关系的一个重要调节变量。未来的研究应该采用更精细的电子烟使用测量方法。