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可视化美国阿片类药物危机中物质使用的年龄、时期和队列模式。

Visualizing Age, Period, and Cohort Patterns of Substance Use in the U.S. Opioid Crisis.

作者信息

Verdery Ashton M, England Kira, Chapman Alexander, Luo Liying, McLean Katherine, Monnat Shannon

机构信息

Pennsylvania State University, University Park, PA, USA.

Syracuse University, Syracuse, NY, USA.

出版信息

Socius. 2020 Jan 1;6. doi: 10.1177/2378023120906944. Epub 2020 Feb 13.

Abstract

Descriptions of the contemporary U.S. opioid crisis emphasize several "waves" of overdose deaths. However, a focus on trends in overdose deaths may obscure important sociological dynamics. The authors provide heatmap visualizations of estimated annual rates of past-year substance use, rather than overdose deaths, for prescription pain relievers and heroin. These visualizations are based on weighted analyses of self-reports, cross-classified by age and period, collected as part of the National Survey on Drug Use and Health from 2002 to 2017. Whereas descriptions of the U.S. opioid crisis tend to focus on period dynamics, these visualizations indicate that cohort patterns of drug use are also evident in addition to well-known age variation. A substantive focus on cohort patterns highlights the possibility that cohorts of people who use drugs may remain at risk for overdose in the years to come. These findings suggest that policies aimed only at restricting opioid availability may have limited effects.

摘要

对当代美国阿片类药物危机的描述强调了过量用药死亡的几个“浪潮”。然而,关注过量用药死亡趋势可能会掩盖重要的社会学动态。作者提供了过去一年中处方止痛药和海洛因的物质使用估计年率的热图可视化,而非过量用药死亡情况。这些可视化基于对自我报告的加权分析,按年龄和时期交叉分类,这些报告是作为2002年至2017年全国药物使用和健康调查的一部分收集的。虽然对美国阿片类药物危机的描述往往侧重于时期动态,但这些可视化表明,除了众所周知的年龄差异外,药物使用的队列模式也很明显。对队列模式的实质性关注凸显了吸毒人群在未来几年可能仍面临过量用药风险的可能性。这些发现表明,仅旨在限制阿片类药物供应的政策可能效果有限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15d9/8356655/e5be1c88c821/nihms-1690140-f0001.jpg

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