ArticlePreventing chronic disease2026
Spatiotemporal Modeling of Premature Mortality in Mississippi: A County-Level Analysis of Years of Potential Life Lost, 2015-2025.
Article in Preventing chronic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Longitudinal Spatial Analysis of Health-Related Quality of Life in Mississippi: Clustering, Trends, and Socioeconomic Drivers.Preventing chronic disease · 2026Article
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Authors and funding
6 authors.
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Abstract
Introduction: Understanding premature mortality through years of potential life lost (YPLL) is essential for identifying preventable deaths and health inequities, yet county-level spatiotemporal patterns remain understudied in states such as Mississippi that have high rates of premature mortality. This study examined spatiotemporal trends in premature mortality across Mississippi's 82 counties (2015-2025) using years of potential life lost (YPLL) before age 75 years. Methods: We determined county-level YPLL rates from County Health Rankings & Roadmaps (2015-2025) (underlying deaths from approximately 2012 to 2023). Trends were compared with US averages, stratified by education, income, and insurance status; mapped via GIS; analyzed for spatial clustering with calculated local indicators of spatial association (LISA); and modeled by using spatial autoregressive (SAR) lag models with year fixed effects. Results: From 2015 to 2025, Mississippi's YPLL rate rose 35.2% (10,918.3 to 14,763.9 per 100,000), far outpacing national trends and widening the gap between the state and the US by approximately 50%. Contrary to expectation, the largest increases occurred in high-education, high-income, low-uninsured (mostly urban/coastal) counties. Hot spots intensified in rural Delta and Mississippi River counties, while cold spots disappeared from urban and coastal areas. SAR models showed strong spatial dependence (ρ ≈ 0.32); key drivers were injury-related deaths (β = 58.9, P < .001), percentage of population that is non-Hispanic Black, and diabetes prevalence, while higher median household income was associated with lower YPLL. Conclusion: Mississippi's premature mortality pattern has shifted: rural burdens persist, but rapid deterioration in urban and more affluent counties now drives statewide worsening. Effective policy requires sustained rural investment in chronic disease control along with urban-focused interventions targeting injury and violence prevention, trauma systems, and mental health/substance-use services.
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