E-cigarette Marketing Exposure and Subsequent Experimentation Among Youth and Young Adults
E-cigarette Marketing Exposure and Subsequent Experimentation Among Youth and Young Adults
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DOI：
10.1542/peds.2019-1119
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发表时间：
2019-11-01
期刊：
影响因子：
8
通讯作者：
Choi, Kelvin
中科院分区：
文献类型：
--
作者：
Chen-Sankey, Julia Cen;Unger, Jennifer B.;Choi, Kelvin
在这项针对青少年和从不吸烟的年轻人的纵向队列研究中，过去一个月对电子烟营销的接触预测了未来的电子烟实验。 目标：近年来，电子烟的使用在美国青少年和年轻人中变得越来越普遍。接触电子烟营销可能会刺激电子烟的使用。在这项研究中，我们估计了美国青少年和从不吸烟的年轻人中电子烟营销暴露与电子烟实验之间的纵向关联。方法：分析包括烟草与健康人口评估研究第二波（2014-2015年）和第三波（2015-2016年）中从未吸烟的青少年（12-17岁；n = 8121）和年轻人（18-24岁；n = 1683）的全国代表性样本。在这项研究中，研究人员测量了过去一个月第二波电子烟营销通过不同地点（例如网站和活动）的接触情况和第三波电子烟实验的情况。统计分析包括多变量回归，以检查第二波电子烟营销接触和第三波电子烟实验之间的关联。结果：在第 2 波中，70.7% 的青少年和 73.9% 的从未吸烟者报告过去一个月接触过电子烟营销；在第三波中，分别有 4.9% 和 4.5% 的青少年和年轻人尝试过电子烟。在第 2 波接触过电子烟营销的青少年和年轻人比未接触过电子烟的青少年更有可能（调整后优势比 = 1.53，95% 置信区间 = 1.07-2.17；调整后优势比 = 2.73，95% 置信区间 = 1.16-6.42）在第 3 波接触过电子烟。第 2 波每个地点的营销曝光与第 3 波的电子烟实验相关。结论：电子烟营销曝光预测了青少年和从不吸烟的年轻人中随后的电子烟实验。通过各种渠道增加对营销的限制可能有助于最大限度地减少他们接触电子烟营销信息的机会。
Past-month exposure to e-cigarette marketing predicted future e-cigarette experimentation in this longitudinal cohort study of youth and young adult never tobacco users.OBJECTIVES: Electronic cigarette (e-cigarette) use has become increasingly prevalent among US youth and young adults in recent years. Exposure to e-cigarette marketing may stimulate e-cigarette use. In this study, we estimated the longitudinal association between e-cigarette marketing exposure and e-cigarette experimentation among US youth and young adult never tobacco users. METHODS: The analysis included nationally representative samples of youth (ages 12-17; n = 8121) and young adult (ages 18-24; n = 1683) never tobacco users from wave 2 (2014-2015) and wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study. In the study, researchers measured past-month exposure to e-cigarette marketing through various places (eg, Web sites and events) at wave 2 and e-cigarette experimentation at wave 3. Statistical analysis included multivariable regressions to examine the associations between wave 2 e-cigarette marketing exposure and wave 3 e-cigarette experimentation. RESULTS: At wave 2, 70.7% of youth and 73.9% of young adult never tobacco users reported past-month exposure to e-cigarette marketing; at wave 3, 4.9% and 4.5% of youth and young adults experimented with e-cigarettes, respectively. Youth and young adults exposed to e-cigarette marketing at wave 2 were more likely (adjusted odds ratio = 1.53, 95% confidence interval = 1.07-2.17; and adjusted odds ratio = 2.73, 95% confidence interval = 1.16-6.42, respectively) to have experimented with e-cigarettes at wave 3 than those not exposed. Marketing exposure through each place at wave 2 was associated with e-cigarette experimentation at wave 3. CONCLUSIONS: E-cigarette marketing exposure predicted subsequent e-cigarette experimentation among youth and young adult never tobacco users. Increased restrictions on marketing through various channels may help minimize their exposure to e-cigarette marketing messages.