电子烟易感性作为青少年开始使用电子烟的预测因子

K. Bold, Grace Kong, D. Cavallo, D. Camenga, S. Krishnan-Sarin
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引用次数: 28

摘要

识别未来有使用电子烟风险的青少年对于告知预防工作至关重要。先前的研究建立了对传统香烟易感性的测量方法,本研究旨在研究适合电子烟易感性的项目是否预测了从未吸过电子烟的人随后使用电子烟。方法在2013年秋季(第1波)和2014年春季(第2波)对初高中学生进行了全校范围的纵向调查数据。在第1波(n = 1720)中,从未使用过电子烟的学生通过两个项目来衡量电子烟的易感性:评估未来尝试电子烟的预期,以及如果最好的朋友提供电子烟,他们是否愿意使用电子烟。逻辑回归模型检验了易感性作为电子烟开始使用和6个月后超过30天使用第二波的预测因子。模型按学校聚类,并控制性别、年龄、种族、社会经济地位和其他物质使用(酒精、大麻和其他烟草)。结果总共有8.9% (n = 153)的年轻人开始吸电子烟,3.7% (n = 63)的年轻人报告在第2波使用了30天。电子烟易感性是6个月后开始使用电子烟(OR = 4.27, 95%CI = 3.12-5.85)和过去30天使用电子烟(OR = 5.10, 95%CI = 3.38-7.68)的重要独立预测因子。易受影响的青少年更有可能是男性,年龄较大,并且使用过酒精,大麻或其他烟草制品。结论:这些发现为采用两个易感性项目来识别青少年未来使用电子烟的风险提供了初步支持。确定针对易感青少年和防止未来使用电子烟的有效策略将是未来研究的关键领域。超过四分之一的样本报告说,如果最好的朋友提供电子烟,他们愿意尝试电子烟,并期望在未来尝试电子烟,他们在学年内继续尝试电子烟,这表明针对这一群体对于防止青少年开始使用电子烟至关重要。易感青少年和非易感青少年之间存在显著的人口统计学差异,这表明针对使用过其他物质的男学生的电子烟预防工作可能对防止未来使用电子烟尤为重要。需要进行研究,以确定最有效的预防战略,以接触易感青年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes
Introduction Identifying youth at risk for future e-cigarette use is critical for informing prevention efforts. Prior research established measures of susceptibility to conventional cigarettes, and this study aimed to examine whether items adapted for e-cigarette susceptibility predicted subsequent e-cigarette use among never e-cigarette users. Methods Longitudinal school-wide survey data were collected from middle and high school students in Fall 2013 (wave 1) and Spring 2014 (wave 2). Among never e-cigarette users at wave 1 (n = 1720), e-cigarette susceptibility was measured by two items assessing anticipation of experimenting with e-cigarettes in the future and willingness to use an e-cigarette if offered by a best friend. Logistic regression models examined susceptibility as a predictor of e-cigarette initiation and past 30-day use 6 months later at wave 2. Models were clustered by school and controlled for sex, age, race, SES, and other substance use (alcohol, marijuana, and other tobacco). Results In total, 8.9% (n = 153) of youth initiated e-cigarettes and 3.7% (n = 63) reported past 30-day use at wave 2. E-cigarette susceptibility was a significant independent predictor of subsequent initiation (OR = 4.27, 95% CI = 3.12-5.85) and past 30-day e-cigarette use (OR = 5.10, 95%CI = 3.38-7.68) 6 months later. Susceptible youth were more likely to be male, older, and have used alcohol, marijuana, or other tobacco products. Conclusions These findings provide initial support for adapting two susceptibility items to identify adolescents at risk for future e-cigarette use. Identifying strategies that are effective for targeting susceptible youth and preventing future e-cigarette use will be critical areas for future research. Implications More than a quarter of the sample who reported both a willingness to try e-cigarettes if offered by a best friend and anticipation of experimenting with e-cigarettes in the future went on to try e-cigarettes within the academic year, suggesting that targeting this group will be critical for preventing youth e-cigarette initiation. There were notable demographic differences between susceptible and non-susceptible youth, suggesting targeting e-cigarette prevention efforts to male students who have used other substances may be especially important for preventing future e-cigarette use. Research is needed to determine the most effective prevention strategies to reach susceptible youth.
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