Evidence map›Paper›PMID 31279417›Full record

Observational studyThe Lancet. Public health2019

Economic decline, incarceration, and mortality from drug use disorders in the USA between 1983 and 2014: an observational analysis.

Elias Nosrati, Jacob Kang-Brown, Michael Ash, Martin McKee, Michael Marmot, Lawrence P King

Open access · goldAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in The Lancet. Public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Does Pain Explain Trends in Disability? An Analysis of Middle-Aged and Older U.S. Adults, 2002-2018.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  6. Article
  7. Article
  8. County-Level Economic Changes and Drug Mortality in the United States: Evidence from the Great Recession.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Application of Distributed Agent-based Modeling to Investigate Opioid Use Outcomes in Justice Involved Populations.IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2021
    Article
  12. Review
  13. Article
  14. The Geography of Opioid Use Disorder: A Data Triangulation Approach.Infectious disease clinics of North America · 2020
    Review
  15. The Relative Economy and Drug Overdose Deaths.Epidemiology (Cambridge, Mass.) · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Elias NosratiMerton College, University of Oxford, Oxford, UK. Electronic address: elias.nosrati@merton.ox.ac.uk.
Jacob Kang-BrownVera Institute of Justice, New York, NY, USA.
Michael AshDepartment of Economics, University of Massachusetts, Amherst, MA, USA.
Martin McKeeLondon School of Hygiene & Tropical Medicine, London, UK.
Michael MarmotDepartment for Epidemiology and Public Health, Institute of Health Equity, University College London, London, UK.
Lawrence P KingDepartment of Economics, University of Massachusetts, Amherst, MA, USA.
University of Massachusetts Amherst · USLondon School of Hygiene & Tropical Medicine · GBUniversity College London · GBUniversity of Oxford · GBVera Institute of Justice · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug use disorders are an increasing cause of disability and early death in the USA, with substantial geographical variation. We aimed to investigate the associations between economic decline, incarceration rates, and age-standardised mortality from drug use disorders at the county level in the USA.

methodsIn this observational analysis, we examined age-standardised mortality data from the US National Vital Statistics System and the Institute for Health Metrics and Evaluation, household income data from the US Census Bureau, and county-level jail and prison incarceration data from the Vera Institute of Justice for 2640 US counties between 1983 and 2014. We also extracted data on county-level control variables from the US Census Bureau, the National Center for Health Statistics, and the US Centers for Disease Control and Prevention. We used a two-way fixed-effects panel regression to examine the association between reduced household income, incarceration, and mortality from drug use disorders within counties over time. To assess between-county variation, we used coarsened exact matching and a simulation-based modelling approach.

findingsAfter adjusting for key confounders, each 1 SD decrease in median household income was associated with an increase of 12·8% (95% CI 11·0-14·6; p<0·0001) in drug-related deaths within counties. Each 1 SD increase in jail and prison incarceration rates was associated with an increase of 1·5% (95% CI 1·0-2·0; p<0·0001) and 2·6% (2·1-3·1; p<0·0001) in drug-related mortality, respectively. The association between drug-related mortality and income and incarceration persisted after controlling for local opioid prescription rates. Our model accounts for a large proportion of within-county variation in mortality from drug use disorders (R

interpretationReduced household income and high incarceration rates are associated with poor health. The rapid expansion of the prison and jail population in the USA over the past four decades might have contributed to the increasing number of deaths from drug use disorders.

fundingNone.

Indexed as

AdolescentAdultEconomic RecessionFemaleHumansIncomeMaleMiddle AgedPrisonersPrisonsSubstance-Related DisordersUnited StatesYoung Adult

Identifiers

PMID31279417
OpenAlexW2954631646

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.