Lyndsey K Blair, Madeline M Tomlinson, Michele Abee-Biskis, Jessica Hume, Gabri Warren
{"title":"Heartache in the Heartland: Unraveling the Social Roots of Deaths of Despair in Kentucky.","authors":"Lyndsey K Blair, Madeline M Tomlinson, Michele Abee-Biskis, Jessica Hume, Gabri Warren","doi":"10.13023/jah.0701.03","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Implications: </strong>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.</p>","PeriodicalId":73599,"journal":{"name":"Journal of Appalachian health","volume":"7 1","pages":"47-62"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12112007/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Appalachian health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13023/jah.0701.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.