Evidence map›Paper›PMID 40663391›Full record

ArticleJournal of occupational and environmental medicine2025

Association of Physical Health Indices With Antidepressant and/or Anxiolytic Use in Former US Coal Miners.

Alissa DeVaughn, Leonard H T Go, Tessa Bonney, Robert A Cohen, Brett Shannon, Lee S Friedman, Devon Richardson, Ruyu Yan, Kirsten S Almberg

Abstract read
In one paragraph

Article in Journal of occupational and environmental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alissa DeVaughnFrom the Department of Environmental and Occupational Health Sciences School of Public Health, University of Illinois Chicago, Chicago, Illinois (A.D., L.H.T.G., T.B., R.A.C., B.S., L.S.F., D.R., R.Y., K.S.A.); and Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois (L.H.T.G., R.A.C.).ORCID 0000-0001-9068-9718
Devon RichardsonORCID 0000-0001-9336-293
Kirsten S AlmbergORCID 0000-0002-8405-6997

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

objectiveMost health research on coal miners has focused primarily on cardiorespiratory health and injuries, despite the presence of significant risk factors for poor mental health in the industry, including illness and pain, traumatic experiences, and socioeconomic stressors.

methodsClinical and occupational data from coal miners examined in a West Virginia clinic between 2004 and 2015 were used to examine associations between physical indicators of health and antidepressant/anxiolytic medication use (proxy for depression/anxiety) through multivariable models.

resultsAntidepressant/anxiolytic use was prevalent (35%) in this population. Lung function impairment, hypertension, cardiovascular disease, chronic pain, and trauma significantly increased the odds of antidepressant/anxiolytic medication use.

conclusionsThis study reveals a high burden of depression and/or anxiety among US coal miners and underscores the importance of evaluating this workforce for their mental health, which has largely been ignored to date.

Indexed as

Anti-Anxiety AgentsAntidepressive AgentsAnxietyCoal MiningDepressionHealth StatusOccupational DiseasesAdultAgedFemaleHumansMaleMiddle AgedMinersRisk FactorsUnited StatesAnti-Anxiety AgentsAntidepressive Agentsanxietycoal miningdepressionmental healthopioidstrauma

Identifiers

PMID40663391
PMCPMC13245248

What OpenQuestion holds

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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.