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Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012
The opioid epidemic affects multiple segments of the U.S. population (1). Occupational patterns might be critical to understanding the epidemic. Opioids are often prescribed for specific types of work-related injuries, which vary by occupation (2). CDC used mortality data from the National Occupatio...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107320/ https://www.ncbi.nlm.nih.gov/pubmed/30138306 http://dx.doi.org/10.15585/mmwr.mm6733a3 |
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author | Harduar Morano, Laurel Steege, Andrea L. Luckhaupt, Sara E. |
author_facet | Harduar Morano, Laurel Steege, Andrea L. Luckhaupt, Sara E. |
author_sort | Harduar Morano, Laurel |
collection | PubMed |
description | The opioid epidemic affects multiple segments of the U.S. population (1). Occupational patterns might be critical to understanding the epidemic. Opioids are often prescribed for specific types of work-related injuries, which vary by occupation (2). CDC used mortality data from the National Occupational Mortality Surveillance (NOMS) system to examine unintentional or undetermined drug overdose mortality within 26 occupation groups. This study included data from the 21 U.S. states participating in NOMS during 2007–2012. Drug overdose mortality was compared with total mortality using proportional mortality ratios (PMRs) indirectly standardized for age, sex, race, year, and state. Mortality patterns specific to opioid-related overdose deaths were also assessed. Construction occupations had the highest PMRs for drug overdose deaths and for both heroin-related and prescription opioid–related overdose deaths. The occupation groups with the highest PMRs from methadone, natural and semisynthetic opioids, and synthetic opioids other than methadone were construction, extraction (e.g., mining, oil and gas extraction), and health care practitioners. The workplace is an integral part of life for the majority of the adult U.S. population; incorporating workplace research and interventions likely will benefit the opioid epidemic response. |
format | Online Article Text |
id | pubmed-6107320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-61073202018-09-06 Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 Harduar Morano, Laurel Steege, Andrea L. Luckhaupt, Sara E. MMWR Morb Mortal Wkly Rep Full Report The opioid epidemic affects multiple segments of the U.S. population (1). Occupational patterns might be critical to understanding the epidemic. Opioids are often prescribed for specific types of work-related injuries, which vary by occupation (2). CDC used mortality data from the National Occupational Mortality Surveillance (NOMS) system to examine unintentional or undetermined drug overdose mortality within 26 occupation groups. This study included data from the 21 U.S. states participating in NOMS during 2007–2012. Drug overdose mortality was compared with total mortality using proportional mortality ratios (PMRs) indirectly standardized for age, sex, race, year, and state. Mortality patterns specific to opioid-related overdose deaths were also assessed. Construction occupations had the highest PMRs for drug overdose deaths and for both heroin-related and prescription opioid–related overdose deaths. The occupation groups with the highest PMRs from methadone, natural and semisynthetic opioids, and synthetic opioids other than methadone were construction, extraction (e.g., mining, oil and gas extraction), and health care practitioners. The workplace is an integral part of life for the majority of the adult U.S. population; incorporating workplace research and interventions likely will benefit the opioid epidemic response. Centers for Disease Control and Prevention 2018-08-24 /pmc/articles/PMC6107320/ /pubmed/30138306 http://dx.doi.org/10.15585/mmwr.mm6733a3 Text en https://creativecommons.org/licenses/by/3.0/All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated. |
spellingShingle | Full Report Harduar Morano, Laurel Steege, Andrea L. Luckhaupt, Sara E. Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title | Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title_full | Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title_fullStr | Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title_full_unstemmed | Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title_short | Occupational Patterns in Unintentional and Undetermined Drug-Involved and Opioid-Involved Overdose Deaths — United States, 2007–2012 |
title_sort | occupational patterns in unintentional and undetermined drug-involved and opioid-involved overdose deaths — united states, 2007–2012 |
topic | Full Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107320/ https://www.ncbi.nlm.nih.gov/pubmed/30138306 http://dx.doi.org/10.15585/mmwr.mm6733a3 |
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