Aim

A number of important health disparities associated with place of residence have been reported in the literature. The Remoteness Index (RI) was developed to account for community size, population density, and proximity to larger population centres. This exploratory analysis uses the RI to examine community level associations related to cannabis use.

Design

This secondary analysis uses data collected as part of a randomized controlled trial of a brief cannabis intervention. Participants’ place of residence was matched to a corresponding value on the RI. Univariate regressions of RI and cannabis related outcomes were modeled with age and gender as moderating variables. Three outcomes were analyzed separately: 1) total number of days of cannabis use in the past 30 days; 2) risk of experiencing cannabis related problems; and 3) number of self-reported consequences related to cannabis.

Findings

Participants living in more remote areas were significantly more likely to drive within an hour of using cannabis, but also reported fewer consequences and less risky cannabis use. Although the overall regression models tested in the moderation analyses were significant, there were no interaction effects between RI and age or gender.

Conclusion

While this analysis did not find significant conditional effects of age or gender on the relationship between cannabis use and place of residence, further research is needed to investigate other factors which may contribute to health disparities related to substance use between individuals living in different geographic regions.

中文翻译：

---

检查农村对大麻使用频率和后果严重程度的影响（受年龄和性别影响）

目标

文献报道了许多与居住地相关的重要健康差异。开发偏远指数 (RI) 是为了考虑社区规模、人口密度和与较大人口中心的接近程度。这项探索性分析使用 RI 来检查与大麻使用相关的社区层面的关联。

设计

该二次分析使用作为简短大麻干预随机对照试验的一部分收集的数据。参与者的居住地与 RI 上的相应值相匹配。RI 和大麻相关结果的单变量回归以年龄和性别为调节变量进行建模。分别分析了三个结果：1）过去 30 天内使用大麻的总天数；2) 遇到大麻相关问题的风险；和 3) 与大麻有关的自我报告后果的数量。

发现

生活在偏远地区的参与者在使用大麻后一小时内开车的可能性要大得多，但也报告说使用大麻的后果和风险较小。尽管在适度分析中测试的整体回归模型是显着的，但 RI 与年龄或性别之间没有交互作用。

结论

虽然这项分析没有发现年龄或性别对大麻使用与居住地之间关系的显着条件影响，但需要进一步研究以调查可能导致生活在不同地理区域的个人之间与物质使用相关的健康差异的其他因素。