Department of Applied Health Science, Indiana University School of Public Health at Bloomington, USA.
Department of Applied Health Science, Indiana University School of Public Health at Bloomington, USA.
Addict Behav. 2019 Nov;98:106063. doi: 10.1016/j.addbeh.2019.106063. Epub 2019 Jul 26.
In recent years, there has been a rapid increase in the use of both electronic nicotine delivery systems (ENDS) and electronic devices among U.S. youth. Informed by the Diffusion of Innovations Theory (DIT), it was hypothesized that elevated use of electronic devices (EUED) prospectively would predict ENDS use among youth.
Data were drawn from the Population Assessment of Tobacco and Health (PATH) Study, a longitudinal cohort study in a nationally representative sample. Participants who were 12-17 years old, and naïve to both conventional cigarettes and ENDS at baseline (N = 11,325) were sampled. A total of 8723 respondents had matched data from Wave 1 to Wave 2 and 6051 respondents had matched data for all the three waves. Multivariable sequential logistic regressions were conducted to examine determinants of ENDS use in later waves using R version 3.5.2.
Among youth who were naïve to both ENDS and conventional cigarettes at baseline, those with EUED were more likely to initiate ENDS use in later years than those without EUED even after controlling for exposure to ENDS advertisements and other well-established covariates of ENDS use. Daily (adjusted odds ratio [AOR] ranges from 2.76 to 3.56) and weekly (AOR ranges from 2.16 to 2.65) social networking service (SNS) users were more likely to initiate ENDS use than non-users of SNS in the adjusted models.
The findings support the hypothesis that EUED prospectively predicts ENDS use among youth. The use of DIT framework helps understand the link between EUED and ENDS use.
近年来,美国青少年使用电子烟和电子设备的人数迅速增加。基于创新扩散理论(DIT),我们假设电子设备使用量的增加(EUED)将预测青少年使用电子烟。
数据来自于人口评估烟草和健康(PATH)研究,这是一项在全国代表性样本中进行的纵向队列研究。研究对象为基线时对传统香烟和电子烟均无使用经验的 12-17 岁青少年(N=11325)。共有 8723 名受访者在第 1 波至第 2 波时匹配了数据,6051 名受访者在所有 3 波时匹配了数据。使用 R 版本 3.5.2 进行多变量序贯逻辑回归,以检验各波次中电子烟使用的决定因素。
在基线时对电子烟和传统香烟均无使用经验的青少年中,与无 EUED 者相比,EUED 者在之后的年份中更有可能开始使用电子烟,即使在控制了电子烟广告的暴露情况和其他电子烟使用的既定因素后也是如此。与不使用 SNS 的人相比,每天(调整后的优势比 [AOR] 范围为 2.76 至 3.56)和每周(AOR 范围为 2.16 至 2.65)使用社交网络服务(SNS)的人更有可能开始使用电子烟。
这些发现支持了 EUED 可预测青少年使用电子烟的假设。DIT 框架的使用有助于理解 EUED 和电子烟使用之间的联系。