Becker Julia, Schaub Michael P, Gmel Gerhard, Haug Severin
Swiss Research Institute for Public Health and Addiction ISGF, University of Zurich, Konradstrasse 32, CH-8031, Zurich, Switzerland.
Alcohol Treatment Centre, Lausanne University Hospital CHUV, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland.
BMC Public Health. 2015 Sep 2;15:843. doi: 10.1186/s12889-015-2194-3.
According to the gateway hypothesis, tobacco use is a gateway of cannabis use. However, there is increasing evidence that cannabis use also predicts the progression of tobacco use (reverse gateway hypothesis). Unfortunately, the importance of cannabis use compared to other predictors of tobacco use is less clear. The aim of this study was to examine which variables, in addition to cannabis use, best predict the onset of daily cigarette smoking in young men.
A total of 5,590 young Swiss men (mean age = 19.4 years, SD = 1.2) provided data on their substance use, socio-demographic background, religion, health, social context, and personality at baseline and after 18 months. We modelled the predictors of progression to daily cigarette smoking using logistic regression analyses (n = 4,230).
In the multivariate overall model, use of cannabis remained among the strongest predictors for the onset of daily cigarette use. Daily cigarette use was also predicted by a lifetime use of at least 50 cigarettes, occasional cigarette use, educational level, religious affiliation, parental situation, peers with psychiatric problems, and sociability.
Our results highlight the relevance of cannabis use compared to other potential predictors of the progression of tobacco use and thereby support the reverse gateway hypothesis.
根据通路假说,烟草使用是大麻使用的一个通路。然而,越来越多的证据表明,大麻使用也预示着烟草使用的进展(反向通路假说)。不幸的是,与烟草使用的其他预测因素相比,大麻使用的重要性尚不太明确。本研究的目的是探讨除大麻使用外,哪些变量最能预测年轻男性每日吸烟的开始。
共有5590名瑞士年轻男性(平均年龄=19.4岁,标准差=1.2)在基线时以及18个月后提供了关于他们物质使用、社会人口背景、宗教、健康、社会环境和个性的数据。我们使用逻辑回归分析(n=4230)对进展为每日吸烟的预测因素进行建模。
在多变量总体模型中,大麻使用仍然是每日吸烟开始的最强预测因素之一。终身至少使用50支香烟、偶尔吸烟、教育水平、宗教信仰、父母情况、有精神问题的同龄人以及社交能力也可预测每日吸烟情况。
我们的结果突出了与烟草使用进展的其他潜在预测因素相比,大麻使用的相关性,从而支持反向通路假说。