Evidence map›Paper›PMID 32641405›Full record

ArticleJournal of epidemiology and community health2020

Suicide, overdose and worker exit in a cohort of Michigan autoworkers.

Ellen A Eisen, Kevin T Chen, Holly Elser, Sally Picciotto, Corinne A Riddell, Mary A Combs, Suzanne M Dufault, Sidra Goldman-Mellor, Joshua Cohen

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Ellen A EisenSchool of Public Health, Division of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA eeisen@berkeley.edu.
Kevin T ChenSchool of Public Health, Division of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA.ORCID 0000-0003-3971-4628
Holly ElserSchool of Medicine, Stanford University, Stanford, California, USA.ORCID 0000-0003-1781-904X
Sally PicciottoSchool of Public Health, Division of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA.
Corinne A RiddellSchool of Public Health, Division of Epidemiology and Biostatistics, University of California Berkeley, Berkeley, California, USA.
Mary A CombsSchool of Public Health, Division of Epidemiology and Biostatistics, University of California Berkeley, Berkeley, California, USA.
Suzanne M DufaultSchool of Public Health, Division of Epidemiology and Biostatistics, University of California Berkeley, Berkeley, California, USA.
Sidra Goldman-MellorSchool of Social Sciences, Humanities, and Arts, Department of Public Health, University of California Merced, Merced, California, USA.ORCID 0000-0001-7726-0845
Joshua CohenApple University, Apple Inc, Cupertino, California, USA.
Berkeley Public Health Division · USUniversity of California, Berkeley · USApple (United States) · USStanford University · USUniversity of California, Merced · US

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI Magali Barbieri · 1999 to 2026
$18.6M
NIA NIH HHS P30 AG012839
6 · The paper itself

Abstract

backgroundIn recent decades, suicide and fatal overdose rates have increased in the US, particularly for working-age adults with no college education. The coincident decline in manufacturing has limited stable employment options for this population. Erosion of the Michigan automobile industry provides a striking case study.

methodsWe used individual-level data from a retrospective cohort study of 26 804 autoworkers in the United Autoworkers-General Motors cohort, using employment records from 1970 to 1994 and mortality follow-up from 1970 to 2015. We estimated HRs for suicide or fatal overdose in relation to leaving work, measured as active or inactive employment status and age at worker exit.

resultsThere were 257 deaths due to either suicide (n=202) or overdose (n=55); all but 21 events occurred after leaving work. The hazard rate for suicide was 16.1 times higher for inactive versus active workers (95% CI 9.8 to 26.5). HRs for suicide were elevated for all younger age groups relative to those leaving work after age 55. Those 30-39 years old at exit had the highest HR for suicide, 1.9 (95% CI 1.2 to 3.0). When overdose was included, the rate increased by twofold for both 19- to 29-year-olds and 30- to 39-year-olds at exit. Risks remained elevated when follow-up was restricted to 5 years after exit.

conclusionsAutoworkers who left work had a higher risk of suicide or overdose than active employees. Those who left before retirement age had higher rates than those who left after, suggesting that leaving work early may increase the risk.

Indexed as

Drug OverdoseEmploymentSuicideAdultAutomobilesHumansMaleManufacturing IndustryMichiganMiddle AgedRetirementRetrospective Studiesageingemploymentlongitudinal studiesmental healthSuicide

Identifiers

PMID32641405
PMCPMC7576581
OpenAlexW3041419570

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.