Duan Zongshuan, Abroms Lorien C, Cui Yuxian, Wang Yan, LoParco Cassidy R, Levine Hagai, Bar-Zeev Yael, Khayat Amal, Berg Carla J
Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, United States.
Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, United States.
Tob Prev Cessat. 2023 Nov 29;9:35. doi: 10.18332/tpc/173558. eCollection 2023.
As e-cigarette marketing strategies diversify, it is important to examine exposure to and impact of e-cigarette advertisements and non-advertising content (e.g. on social media) via multiple media channels among adults in different regulatory contexts.
Using 2021 cross-sectional data among 2222 adults in the US (n=1128) and Israel (n=1094), multivariable regression examined past-month e-cigarette advertisement and non-advertising content exposure in relation to past-month e-cigarette use (logistic regression), as well as use intentions and risk perceptions (linear regressions), controlling for sociodemographics and tobacco use.
Overall, 20.3% reported past-month e-cigarette use (15.5% US, 25.2% Israel), 46.1% any advertisement exposure (28.7% digital media, 25.2% traditional media, 16.8% retail settings), and 34.1% any non-advertising exposure (19.4% social media, 13.6% websites, 12.3% movie/television/theater, 5.8% radio/podcasts). Exposure to digital media advertisements (AOR=1.95; 95% CI: 1.42-2.66), traditional media advertisements (AOR=2.00; 95% CI=1.49-2.68), and social media non-advertising (AOR=1.72; 95% CI: 1.25-2.36) correlated with e-cigarette use. Exposure to traditional media advertisements (β=0.23; 95% CI: 0.08-0.38) and social media non-advertising (β=0.26; 95% CI: 0.09-0.43) correlated with use intentions. Exposure to digital media advertisements (β= -0.32; 95% CI: -0.57 - -0.08), retail setting advertisements (β= -0.30; 95% CI: -0.58 - -0.03), and radio/podcast non-advertising (β= -0.44; 95% CI: -0.84 - -0.03) correlated with lower perceived addictiveness. Radio/podcast non-advertising exposure (β= -0.50; 95% CI: -0.84 - -0.16) correlated with lower perceived harm. However, retail setting advertisement exposure was associated with e-cigarette non-use (AOR=0.61; 95% CI: 0.42-0.87), and traditional media advertisement (β=0.38; 95% CI: 0.15-0.61) and social media non-advertising exposure (β=0.40; 95% CI: 0.14-0.66) correlated with greater perceived addictiveness.
E-cigarette-related promotional content exposure across media platforms impacts perceptions and use, thus warranting regulation.
随着电子烟营销策略的多样化,在不同监管环境下,研究成年人通过多种媒体渠道接触电子烟广告及非广告内容(如社交媒体上的内容)的情况及其影响至关重要。
利用2021年美国(n = 1128)和以色列(n = 1094)2222名成年人的横断面数据,多变量回归分析了过去一个月内电子烟广告及非广告内容的接触情况与过去一个月内电子烟使用情况(逻辑回归)、使用意愿及风险认知(线性回归)之间的关系,并对社会人口统计学特征和烟草使用情况进行了控制。
总体而言,20.3%的人报告过去一个月内使用过电子烟(美国为15.5%,以色列为25.2%),46.1%的人有过任何广告接触(数字媒体占28.7%,传统媒体占25.2%,零售场所占16.8%),34.1%的人有过任何非广告接触(社交媒体占19.4%,网站占13.6%,电影/电视/剧院占12.3%,广播/播客占5.8%)。接触数字媒体广告(优势比[AOR]=1.95;95%置信区间[CI]:1.42 - 2.66)、传统媒体广告(AOR = 2.00;95% CI = 1.49 - 2.68)以及社交媒体非广告内容(AOR = 1.72;95% CI:1.25 - 2.36)与电子烟使用相关。接触传统媒体广告(β = 0.23;95% CI:0.08 - 0.38)和社交媒体非广告内容(β = 0.26;95% CI:0.09 - 0.43)与使用意愿相关。接触数字媒体广告(β = -0.32;95% CI:-0.57 - -0.08)、零售场所广告(β = -0.30;95% CI:-0.58 - -0.03)以及广播/播客非广告内容(β = -0.44;95% CI:-0.84 - -0.03)与较低的成瘾性认知相关。广播/播客非广告接触(β = -0.50;95% CI:-0.84 - -0.16)与较低的危害认知相关。然而,零售场所广告接触与不使用电子烟相关(AOR = 0.61;95% CI:0.42 - 0.87),传统媒体广告(β = 0.38;95% CI:0.15 - 0.61)和社交媒体非广告接触(β = 0.40;95% CI:0.14 - 0.66)与更高的成瘾性认知相关。
跨媒体平台接触与电子烟相关的促销内容会影响认知和使用情况,因此有必要进行监管。