Evidence map›Paper›PMID 40438888›Full record

ArticleJournal of Appalachian health2025

Heartache in the Heartland: Unraveling the Social Roots of Deaths of Despair in Kentucky.

Lyndsey K Blair, Madeline M Tomlinson, Michele Abee-Biskis, Jessica Hume, Gabri Warren

Abstract read
In one paragraph

Article in Journal of Appalachian health, 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
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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

5 authors.

Lyndsey K BlairBellarmine University.
Madeline M TomlinsonBellarmine University.
Michele Abee-BiskisBellarmine University.
Jessica HumeBellarmine University.
Gabri WarrenBellarmine University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Deaths of despair (DoD), encompassing suicides, drug overdoses, and alcohol-related liver diseases, have emerged as a critical public health crisis in the United States, with their rise particularly pronounced from 1995 to 2013 and exacerbated by the COVID-19 pandemic. Kentucky, grappling with high rates of substance use disorder, poor mental health, and economic hardship, is at the forefront of this issue, particularly in its rural and Appalachian regions. Purpose: This study explores the social determinants contributing to DoD in Kentucky, focusing on economic and social factors that influence rising rates of suicide, drug overdose, and alcohol-related liver disease. The goal is to provide evidence to guide policy and intervention strategies. Methods: An ecological study was conducted across 120 Kentucky counties from 2011 - 2020. DoD mortality data were sourced from the CDC WONDER database, and socioeconomic variables from the American Community Survey. Principal Component Analysis (PCA) reduced 10 county-level socioeconomic variables. Poisson regression estimated associations between socioeconomic principal component scores and DoD mortality, adjusting for confounders like age, and racial demographics. Results: The median DoD mortality rate was 59.7 per 100,000 people, with geographic variation. Three principal components explained 78.4% of the variance in socioeconomic factors. Counties with extreme socioeconomic disadvantages (low education, high poverty, high disability, high unemployment) were strongly associated with higher DoD rates (RR=1.07; 95% CI=1.02-1.12). Implications: Extreme socioeconomic disadvantage is a key predictor of DoD rates in Kentucky. These findings can inform public health interventions and policy changes targeting high-risk areas, especially rural and Appalachian regions.

Indexed as

AddictionAppalachiaDeaths of DespairSocioeconomic Status

Identifiers

PMID40438888
PMCPMC12112007

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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.