College of Social Work, The Ohio State University, Columbus, Ohio, USA.
School of Social Work, Arizona State University, Phoenix, Arizona, USA.
Am J Ind Med. 2024 Jul;67(7):636-645. doi: 10.1002/ajim.23612. Epub 2024 May 21.
Drug mortality risks vary among industries, creating distinctive geographic patterns across US counties. However, less is known about how local labor market structure relates to drug overdose mortality amid the synthetic opioid era in the United States. This study investigates the relationship between industry-specific job composition and drug overdose mortality at the county level while exploring how fentanyl's presence in illicit drug supplies may moderate the relationship.
Data were derived from the National Center for Health Statistics' Multiple Cause of Death files for the rates of drug overdose mortality of any intent, linked with four other sources on industry-specific job shares, drug supply, and county-level sociodemographic characteristics and opioid prescribing rates from the US Census Bureau, the CDC, and the Drug Enforcement Administration. Negative binomial regression models were employed to examine associations between county industry-specific job composition and drug overdose mortality, with tests for moderating effects of state-level fentanyl seizure rates.
Our models indicate negative associations between job shares of manufacturing, retail trade, and educational services industries and drug overdose mortality. Positive associations were found for arts/entertainment/recreation and public administration. State-level fentanyl seizure rates had moderating effects on administrative/support/waste management/remediation (A/S/WM/R) and educational services.
Counties with a higher concentration of arts/entertainment/recreation and public administration jobs need targeted efforts to mitigate drug-related overdose risks. Additionally, areas with higher concentrations of A/S/WM/R service jobs, particularly where fentanyl seizure rates are higher, may require proactive harm reduction strategies for reducing overdose risks.
不同行业的药物死亡率风险不同,在美国各县之间形成了独特的地理模式。然而,在美国合成阿片类药物时代,关于当地劳动力市场结构与药物过量死亡率之间的关系知之甚少。本研究调查了特定行业的工作组成与县一级药物过量死亡率之间的关系,同时探讨了非法毒品供应中芬太尼的存在如何调节这种关系。
数据来自国家卫生统计中心的多原因死亡文件,用于记录任何意图的药物过量死亡率,与其他四个来源(特定行业的工作份额、毒品供应以及县一级的社会人口特征和美国人口普查局、疾病控制与预防中心和缉毒署的阿片类药物处方率)相关联。采用负二项回归模型来检验县特定行业工作组成与药物过量死亡率之间的关联,并检验州一级芬太尼缉获率的调节作用。
我们的模型表明,制造业、零售贸易和教育服务行业的工作份额与药物过量死亡率呈负相关。艺术/娱乐/休闲和公共管理行业的工作份额与药物过量死亡率呈正相关。州一级芬太尼缉获率对行政/支持/废物管理/修复(A/S/WM/R)和教育服务具有调节作用。
艺术/娱乐/休闲和公共管理类工作岗位集中的县需要有针对性的努力来减轻与药物相关的过量风险。此外,A/S/WM/R 服务工作岗位集中的地区,特别是芬太尼缉获率较高的地区,可能需要采取积极的减少伤害策略来降低过量风险。