Evidence map›Paper›PMID 31886844›Full record

ArticleJAMA internal medicine2020

Association Between Automotive Assembly Plant Closures and Opioid Overdose Mortality in the United States: A Difference-in-Differences Analysis.

Atheendar S Venkataramani, Elizabeth F Bair, Rourke L O'Brien, Alexander C Tsai

Erratum issuedAbstract read
In one paragraph

Article in JAMA internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Impact of oil and gas boom and busts on working-age mortality in the U.S.Environmental epidemiology (Philadelphia, Pa.) · 2025
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  11. The Role of Despair in Predicting Self-Destructive Behaviors.Population research and policy review · 2025
    Article
  12. Article
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  15. Article
  16. Article
  17. Reevaluating the "deaths of despair" narrative: Racial/ethnic heterogeneity in the trend of psychological distress-related death.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Prescription opioids and economic hardship in France.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Atheendar S VenkataramaniDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Elizabeth F BairDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Rourke L O'BrienDepartment of Sociology, Yale University, New Haven, Connecticut.
Alexander C TsaiCenter for Global Health, Massachusetts General Hospital, Boston.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Fading economic opportunity has been hypothesized to be an important factor associated with the US opioid overdose crisis. Automotive assembly plant closures are culturally significant events that substantially erode local economic opportunities. Objective: To estimate the extent to which automotive assembly plant closures were associated with increasing opioid overdose mortality rates among working-age adults. Design, Setting, and Participants: A county-level difference-in-differences study was conducted among adults aged 18 to 65 years in 112 manufacturing counties located in 30 commuting zones (primarily in the US South and Midwest) with at least 1 operational automotive assembly plant as of 1999. The study analyzed county-level changes from January 1, 1999, to December 31, 2016, in age-adjusted, county-level opioid overdose mortality rates before vs after automotive assembly plant closures in manufacturing counties affected by plant closures compared with changes in manufacturing counties unaffected by plant closures. Data analyses were performed between April 1, 2018, and July 20, 2019. Exposure: Closure of automotive assembly plants in the commuting zone of residence. Main Outcomes and Measures: The primary outcome was the county-level age-adjusted opioid overdose mortality rate. Secondary outcomes included the overall drug overdose mortality rate and prescription vs illicit drug overdose mortality rates. Results: During the study period, 29 manufacturing counties in 10 commuting zones were exposed to an automotive assembly plant closure, while 83 manufacturing counties in 20 commuting zones remained unexposed. Mean (SD) baseline opioid overdose rates per 100 000 were similar in exposed (0.9 [1.4]) and unexposed (1.0 [2.1]) counties. Automotive assembly plant closures were associated with statistically significant increases in opioid overdose mortality. Five years after a plant closure, mortality rates had increased by 8.6 opioid overdose deaths per 100 000 individuals (95% CI, 2.6-14.6; P = .006) in exposed counties compared with unexposed counties, an 85% higher increase relative to the mortality rate that would have been expected had exposed counties followed the same outcome trends as unexposed counties. In analyses stratified by age, sex, and race/ethnicity, the largest increases in opioid overdose mortality were observed among non-Hispanic white men aged 18 to 34 years (20.1 deaths per 100 000; 95% CI, 8.8-31.3; P = .001) and aged 35 to 65 years (12.8 deaths per 100 000; 95% CI, 5.7-20.0; P = .001). We observed similar patterns of prescription vs illicit drug overdose mortality. Estimates for opioid overdose mortality in nonmanufacturing counties were not statistically significant. Conclusions and Relevance: From 1999 to 2016, automotive assembly plant closures were associated with increases in opioid overdose mortality. These findings highlight the potential importance of eroding economic opportunity as a factor in the US opioid overdose crisis.

Indexed as

AutomobilesManufacturing IndustryAdolescentAdultAgedAge DistributionAnalgesics, OpioidDrug OverdoseFemaleHumansMaleManufacturing and Industrial FacilitiesMiddle AgedSex DistributionUnited StatesYoung AdultAnalgesics, Opioid

Identifiers

PMID31886844
PMCPMC6990761

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.