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医用大麻合法化是否会增加大麻使用量?复制研究与拓展。

Do medical marijuana laws increase marijuana use? Replication study and extension.

机构信息

Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, Canada.

出版信息

Ann Epidemiol. 2012 Mar;22(3):207-12. doi: 10.1016/j.annepidem.2011.12.002. Epub 2012 Jan 29.

Abstract

PURPOSE

To replicate a prior study that found greater adolescent marijuana use in states that have passed medical marijuana laws (MMLs), and extend this analysis by accounting for confounding by unmeasured state characteristics and measurement error.

METHODS

We obtained state-level estimates of marijuana use from the 2002 through 2009 National Survey on Drug Use and Health. We used 2-sample t-tests and random-effects regression to replicate previous results. We used difference-in-differences regression models to estimate the causal effect of MMLs on marijuana use, and simulations to account for measurement error.

RESULTS

We replicated previously published results showing higher marijuana use in states with MMLs. Difference-in-differences estimates suggested that passing MMLs decreased past-month use among adolescents by 0.53 percentage points (95% confidence interval [CI], 0.03-1.02) and had no discernible effect on the perceived riskiness of monthly use. Models incorporating measurement error in the state estimates of marijuana use yielded little evidence that passing MMLs affects marijuana use.

CONCLUSIONS

Accounting for confounding by unmeasured state characteristics and measurement error had an important effect on estimates of the impact of MMLs on marijuana use. We find limited evidence of causal effects of MMLs on measures of reported marijuana use.

摘要

目的

复制先前的一项研究,该研究发现在通过医用大麻法(MML)的州,青少年大麻使用量更大,并通过考虑未测量的州特征和测量误差的混杂因素来扩展此分析。

方法

我们从 2002 年至 2009 年全国毒品使用和健康调查中获得了大麻使用的州级估计值。我们使用两样本 t 检验和随机效应回归来复制先前的结果。我们使用差异中的差异回归模型来估计 MML 对大麻使用的因果效应,并进行模拟以考虑测量误差。

结果

我们复制了先前发表的结果,表明 MML 州的大麻使用率更高。差异中的差异估计表明,通过 MML 降低了青少年过去一个月的使用量 0.53 个百分点(95%置信区间[CI],0.03-1.02),并且对每月使用的风险感知没有明显影响。纳入大麻使用州估计值中的测量误差的模型几乎没有证据表明通过 MML 会影响大麻使用。

结论

考虑到未测量的州特征和测量误差的混杂因素对 MML 对大麻使用的影响的估计产生了重要影响。我们发现,MML 对报告的大麻使用量的因果影响的证据有限。

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