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Maryland opioid overdose deaths from 2018 to 2022: occupational patterns and their sociodemographic variations.
Amin-Esmaeili, Masoumeh; Susukida, Ryoko; Byregowda, Himani; Zhou, Zhiqing E; Mitchell, Clifford S; Johnson, Renee M.
Afiliação
  • Amin-Esmaeili M; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA mamines1@jh.edu.
  • Susukida R; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Byregowda H; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Zhou ZE; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Mitchell CS; Environmental Health Bureau, Maryland Department of Health, Baltimore, Maryland, USA.
  • Johnson RM; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Occup Environ Med ; 81(9): 462-470, 2024 Oct 08.
Article em En | MEDLINE | ID: mdl-39327044
ABSTRACT

INTRODUCTION:

We aimed to describe the occupational pattern of opioid overdose deaths in Maryland between 2018 and 2022 and determine the occupations at higher risk of opioid overdose death.

METHODS:

The sample included undetermined or unintentional opioid overdose deaths among those aged 16 years or older in Maryland, drawn from the State Unintentional Drug Overdose Reporting System. We calculated population-based incidence overdose rates by occupation, stratified by sex and race. We further calculated the incidence rate ratios (IRRs) comparing each occupation with all other groups combined and estimated the IRRs among males versus females and non-Hispanic whites versus other racial/ethnic groups.

RESULTS:

The pooled sample included 11 455 opioid overdose decedents (72% male and 55% non-Hispanic whites) of whom 80% were employed. The three occupation groups with the highest incidence rates were 'construction and extraction', 'transportation and material moving' and 'installation/maintenance and repair' with 291, 137 and 133 deaths per 100 000 workers in these respective occupational groups. Incidence rates were significantly higher in males than females in all categories except those 'Not in Labour Force' (IRR=0.51, p<0.001). Non-Hispanic whites relative to other racial/ethnic groups had a lower incidence of opioid overdose death in 'Military-Specific' occupations (IRR=0.53, p=0.031).

CONCLUSION:

Opioid overdose deaths vary by type of occupation and certain occupations are at higher risk of overdose death. The findings highlight the need for priority setting in the implementation and expansion of existing strategies to target the workers most impacted by opioid overdose.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Overdose de Opiáceos / Ocupações Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Overdose de Opiáceos / Ocupações Idioma: En Ano de publicação: 2024 Tipo de documento: Article