Kingsbury J H, Kimmel H L, Parks M J, Creamer M R, Blanco C, Compton W M
National Institute on Drug Abuse, 6001 Executive Blvd, N. Bethesda, MD 20852, USA.
Kelly Government Solutions, 8380 Colesville Rd #500, Silver Spring, MD 20910, USA.
Prev Med Rep. 2024 Dec 9;49:102943. doi: 10.1016/j.pmedr.2024.102943. eCollection 2025 Jan.
Receipt of cigarette and e-cigarette coupons predicts initiation and progression of use and hinders cessation. Less is known about how coupons operate in different tobacco regulatory environments. The current study utilized longitudinal data from the Population Assessment of Tobacco and Health (PATH) Study to address this research gap.
Adults who reported past 30-day (P30D) e-cigarette use at Wave 5 (2018-2019) were included ( = 3632). The primary outcome was Wave 6 (2021) P30D any tobacco use. Wave 5 predictors were receipt of e-cigarette coupons, state e-cigarette tax, state tobacco policy context, flavored e-cigarette use, income, and education. Covariates were age, sex, race, state coupon policy, and Wave 5 use of tobacco other than e-cigarettes. Weighted logistic regression models examined effects overall and in samples stratified by state e-cigarette tax and tobacco policy context.
Controlling for covariates, Wave 5 coupon receipt (AOR = 1.57; 95 % CI: 1.07, 2.31) and preference for flavored e-cigarettes (AOR = 1.70; 1.37, 2.10) were positively associated with Wave 6 tobacco use. Stronger state tobacco policy context was negatively associated with tobacco use (AOR = 0.69; 0.55, 0.88). Coupon receipt predicted tobacco use in states with an e-cigarette tax (AOR = 2.39; 1.22, 4.68) and with stronger tobacco policy contexts (AOR = 1.80; 1.07, 3.02), but not in states without an e-cigarette tax (AOR = 1.29; 0.83, 1.99) or with weaker tobacco policy contexts (AOR = 1.33; 0.78, 2.24).
Policies that restrict price-discounting could help discourage e-cigarette use, reinforce e-cigarette taxes and other tobacco control policies, and promote cessation of all tobacco among those reporting e-cigarette use.
收到香烟和电子烟优惠券预示着使用行为的开始和发展,并阻碍戒烟。关于优惠券在不同烟草监管环境中的运作方式,人们了解较少。本研究利用烟草与健康人口评估(PATH)研究的纵向数据来填补这一研究空白。
纳入在第5波(2018 - 2019年)报告过去30天(P30D)使用电子烟的成年人(n = 3632)。主要结局是第6波(2021年)P30D使用任何烟草制品。第5波的预测因素包括收到电子烟优惠券、州电子烟税、州烟草政策背景、使用调味电子烟、收入和教育程度。协变量包括年龄、性别、种族、州优惠券政策以及第5波除电子烟外使用其他烟草制品的情况。加权逻辑回归模型考察了总体影响以及按州电子烟税和烟草政策背景分层的样本中的影响。
在控制协变量的情况下,第5波收到优惠券(优势比[AOR] = 1.57;95%置信区间[CI]:1.07,2.31)和对调味电子烟的偏好(AOR = 1.70;1.37,2.10)与第6波使用烟草制品呈正相关。更强的州烟草政策背景与使用烟草制品呈负相关(AOR = 0.69;0.55,0.88)。在有电子烟税的州(AOR = 2.39;1.22,4.68)和烟草政策背景更强的州(AOR = 1.80;1.07,3.02),收到优惠券可预测使用烟草制品,但在没有电子烟税的州(AOR = 1.29;0.83,1.99)或烟草政策背景较弱的州(AOR = 1.33;0.78,2.24)则不然。
限制价格折扣的政策可能有助于抑制电子烟使用,加强电子烟税和其他烟草控制政策,并促进报告使用电子烟者戒掉所有烟草制品。