Drug overdose mortality is associated with employment status and occupation in the National Longitudinal Mortality Study.


Journal

The American journal of drug and alcohol abuse
ISSN: 1097-9891
Titre abrégé: Am J Drug Alcohol Abuse
Pays: England
ID NLM: 7502510

Informations de publication

Date de publication:
01 11 2020
Historique:
pubmed: 30 9 2020
medline: 16 3 2021
entrez: 29 9 2020
Statut: ppublish

Résumé

Since 1999, over 702,000 people in the US have died of a drug overdose, and the drug overdose death rate has increased from 6.2 to 21.8 per 100,000. Employment status and occupation may be important social determinants of overdose deaths. Estimate the risk of drug overdose death by employment status and occupation, controlling for other social and demographic factors known to be associated with overdose deaths. Proportional hazard models were used to study US adults in the National Longitudinal Mortality Study with baseline measurements taken in the early 2000s and up to 6 years of follow-up (n = 438,739, 53% female, 47% male). Comparisons were made between adults with different employment statuses (employed, unemployed, disabled, etc.) and occupations (sales, construction, service occupations, etc.). Models were adjusted for age, sex, race/ethnicity, education, income and marital status. Adults who were disabled (hazard ratio (HR) = 6.96 (95% CI = 6.81-7.12)), unemployed (HR = 4.20, 95% CI = 4.09-4.32) and retired (HR = 2.94, 95% CI = 2.87-3.00) were at higher risk of overdose death relative to those who were employed. By occupation, those working in service (HR = 2.05, 95% CI = 1.97-2.13); construction and extraction (HR = 1.69, 95% CI = 1.64-1.76); management, business and financial (HR = 1.39, 95% CI = 1.33-1.44); and installation, maintenance and repair (HR = 1.32, 95% CI = 1.25-1.40) occupations displayed higher risk relative to professional occupations. In a large national cohort followed prospectively for up to 6 years, several employment statuses and occupations are associated with overdose deaths, independent of a range of other factors. Efforts to prevent overdose deaths may benefit from focusing on these high-risk groups.

Sections du résumé

BACKGROUND
Since 1999, over 702,000 people in the US have died of a drug overdose, and the drug overdose death rate has increased from 6.2 to 21.8 per 100,000. Employment status and occupation may be important social determinants of overdose deaths.
OBJECTIVES
Estimate the risk of drug overdose death by employment status and occupation, controlling for other social and demographic factors known to be associated with overdose deaths.
METHODS
Proportional hazard models were used to study US adults in the National Longitudinal Mortality Study with baseline measurements taken in the early 2000s and up to 6 years of follow-up (n = 438,739, 53% female, 47% male). Comparisons were made between adults with different employment statuses (employed, unemployed, disabled, etc.) and occupations (sales, construction, service occupations, etc.). Models were adjusted for age, sex, race/ethnicity, education, income and marital status.
RESULTS
Adults who were disabled (hazard ratio (HR) = 6.96 (95% CI = 6.81-7.12)), unemployed (HR = 4.20, 95% CI = 4.09-4.32) and retired (HR = 2.94, 95% CI = 2.87-3.00) were at higher risk of overdose death relative to those who were employed. By occupation, those working in service (HR = 2.05, 95% CI = 1.97-2.13); construction and extraction (HR = 1.69, 95% CI = 1.64-1.76); management, business and financial (HR = 1.39, 95% CI = 1.33-1.44); and installation, maintenance and repair (HR = 1.32, 95% CI = 1.25-1.40) occupations displayed higher risk relative to professional occupations.
CONCLUSIONS
In a large national cohort followed prospectively for up to 6 years, several employment statuses and occupations are associated with overdose deaths, independent of a range of other factors. Efforts to prevent overdose deaths may benefit from focusing on these high-risk groups.

Identifiants

pubmed: 32990475
doi: 10.1080/00952990.2020.1820018
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

769-776

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI121259
Pays : United States
Organisme : NIAID NIH HHS
ID : R56 AI140953
Pays : United States

Auteurs

Jonathan Aram (J)

Department of Epidemiology & Biostatistics, University of Maryland School of Public Health , College Park, MD, USA.

Norman J Johnson (NJ)

Mortality Research Branch, Center for Economic Studies, U.S. Bureau of the Census , Suitland, MD, USA.

Mei-Ling Ting Lee (MT)

Department of Epidemiology & Biostatistics, University of Maryland School of Public Health , College Park, MD, USA.

Natalie Slopen (N)

Department of Epidemiology & Biostatistics, University of Maryland School of Public Health , College Park, MD, USA.

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