دورية أكاديمية
County-level industrial composition of the labor force and drug overdose mortality rates in the United States in 2018-2021.
| العنوان: | County-level industrial composition of the labor force and drug overdose mortality rates in the United States in 2018-2021. |
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| المؤلفون: | Oh S; College of Social Work, The Ohio State University, Columbus, Ohio, USA., Cano M; School of Social Work, Arizona State University, Phoenix, Arizona, USA., Kim Y; Department of Kinesiology, The University of Texas at Arlington, Arlington, Texas, USA. |
| المصدر: | American journal of industrial medicine [Am J Ind Med] 2024 Jul; Vol. 67 (7), pp. 636-645. Date of Electronic Publication: 2024 May 21. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 8101110 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0274 (Electronic) Linking ISSN: 02713586 NLM ISO Abbreviation: Am J Ind Med Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: New York Ny : Wiley-Blackwell Original Publication: New York : Alan R. Liss, c1980- |
| مواضيع طبية MeSH: | Drug Overdose*/mortality , Fentanyl*/poisoning, Humans ; United States/epidemiology ; Female ; Analgesics, Opioid/poisoning ; Adult ; Industry/statistics & numerical data ; Male ; Employment/statistics & numerical data ; Middle Aged ; Illicit Drugs/poisoning |
| مستخلص: | Background: 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. Methods: 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. Results: 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. Conclusion: 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. (© 2024 The Authors. American Journal of Industrial Medicine published by Wiley Periodicals LLC.) |
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| معلومات مُعتمدة: | K01 DA057514 United States DA NIDA NIH HHS; K01DA057514 United States DA NIDA NIH HHS |
| فهرسة مساهمة: | Keywords: US counties; drug mortality; fentanyl seizure; industrial composition |
| المشرفين على المادة: | UF599785JZ (Fentanyl) 0 (Analgesics, Opioid) 0 (Illicit Drugs) |
| تواريخ الأحداث: | Date Created: 20240521 Date Completed: 20240612 Latest Revision: 20240614 |
| رمز التحديث: | 20240614 |
| مُعرف محوري في PubMed: | PMC11168858 |
| DOI: | 10.1002/ajim.23612 |
| PMID: | 38770905 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1097-0274 |
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| DOI: | 10.1002/ajim.23612 |