识别典型的大麻消费者,为毒品政策设计提供信息:对墨西哥城大都市区年轻人态度的q分类评估。

Salvador Espinosa, Charles Marks, Gustavo Fondevila
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引用次数: 1

摘要

背景:随着大麻合法化在许多国家取得进展,必须强调过度使用可能对年轻消费者造成的潜在危害。制定有效的政策干预措施以减少过度使用造成的危害,需要了解年轻消费者的态度和动机。方法:本文使用Q方法研究来自墨西哥城大都市区的年轻人使用大麻的四个方面:使用动机、使用的感知后果、增加减少消费意愿的原因以及对政府监管的态度。采用连锁转诊抽样共招募了110名18至21岁的大麻使用者。使用Q方法,我们捕获了参与者分配给一系列陈述的相对重要性,并确定了上述四个方面使用大麻的年轻人的原型资料。结果:本研究的样本包括76名男性和34名女性。参与者的平均年龄为20岁,开始吸食大麻的平均年龄为15岁。对于四个q排序因子分析中的每一个,我们根据解释方差和可解释性确定了4个不同的因素。Q因子分析表明,减轻负面影响(即焦虑、压力)和放松是使用大麻的主要动机。人们所了解的大麻使用的后果涉及各个方面——原型,反映了法律(即与执法部门互动)、经济、家庭(即让家庭成员失望)和教育表现方面的问题。与会者指出,寻找替代性放松战略、获得大麻使用危害健康的可靠证据、增加购买的财政负担以及大麻产品越来越难以获得,将促使减少使用。在所有类型中,与会者都表示愿意遵守大麻政策,这些政策简单易懂,不会导致歧视或执法介入,并为购买和使用安全(即无掺假)大麻产品提供合法场所。结论:我们认为这些原型可能对大麻政策设计有用。正如研究显示的那样,参与者使用大麻主要是出于对心理健康的改善。此外,与会者的答复表明,他们认为使用大麻是一个健康问题,而不是犯罪问题。旨在促进替代性心理健康保健和放松机制的政策,旨在加强对大麻潜在健康危害的宣传,并允许安全合法地购买和使用大麻,可能有效地减少与大麻有关的危害。虽然我们的研究结果揭示了大麻使用者的态度和观点的重要方面,但样本量并不允许对研究结果进行概括,也不能得出关于受审查人群的结论。进一步的研究应考虑将本文中使用的Q方法应用于更大、更有代表性的大麻使用者样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying archetypal cannabis consumers to inform drug policy design: a Q-sort assessment of young adults' attitudes in Mexico City's metropolitan area.

Identifying archetypal cannabis consumers to inform drug policy design: a Q-sort assessment of young adults' attitudes in Mexico City's metropolitan area.

Background: As the legalization of cannabis moves forward in many countries, it is important to highlight the potential harm that excessive use can cause on young consumers. Crafting effective policy interventions to reduce the harm stemming from excessive use requires an understanding of the attitudes and motivations of young consumers.

Methods: This article uses Q methodology to study four aspects of cannabis use among young adults from Mexico City's metropolitan area: motivations for use, perceived consequences of use, reasons that would increase willingness to reduce consumption, and attitudes towards government regulation. A total of 110 cannabis users between 18 and 21 years old were recruited using chain-referral sampling. Using a Q methodology, we captured the relative importance that participants assigned to a series of statements and identified archetypal profiles of young adults who use cannabis for each of the four aspects mentioned above.

Results: The sample for this research study included 76 men and 34 women. The average age of participants was 20 years old, and the average age when cannabis consumption started was 15 years old. For each of the four Q-sort factor analyses, we identified 4 distinct factors based on explained variance and interpretability. The Q factor analysis indicated that attenuation of a negative affect (i.e., anxiety, stress) and relaxation were primary motivations for cannabis use. Understood consequences of cannabis use ranged across aspect-archetype, reflecting legal (i.e., interacting with law enforcement), financial, familial (i.e., disappointing family members), and educational performance concerns. Participants indicated that finding alternative relaxation strategies, receiving credible evidence of the health harms of cannabis use, increased financial burden of purchasing, and increased inaccessibility of cannabis products would motivate reductions in use. Across archetypes, participants indicated a willingness to comply with cannabis policies which are simple and easy to understand, which do not lead to discrimination or law enforcement involvement, and which provide for legal places to purchase and use safe (i.e., free of adulterants) cannabis products.

Conclusions: We posit that these archetypes could be useful to inform cannabis policy design. As the study reveals, participants' cannabis use was primarily motivated by perceived improvements to mental health. Furthermore, participant responses indicated that they viewed cannabis use as a health matter, not a criminal one. Policies which aim to promote alternative mental health wellness and relaxation mechanisms, which aim to improve communication of potential health harms of cannabis, and which allow for the safe and legal purchase and use of cannabis may be effective in reducing cannabis-associated harms. Though our findings shed light on important aspects of cannabis users' attitudes and perspectives, the sample size does not allow for a generalization of the findings and the drawing of conclusions about the population under scrutiny. Further research should consider the application of the Q methodology used in this article to a larger and more representative sample of cannabis users.

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