Evidence map›Paper›PMID 42721012›Full record

ArticlePreventing chronic disease2026

Longitudinal Spatial Analysis of Health-Related Quality of Life in Mississippi: Clustering, Trends, and Socioeconomic Drivers.

Jae Eun Lee, JungHye Sung, Ji-Young Lee

Abstract read
In one paragraph

Article in Preventing chronic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jae Eun LeeCollege of Health Sciences, Jackson State University, Jackson, Mississippi.
JungHye SungCollege of Health Sciences, Jackson State University, Jackson, Mississippi.
Ji-Young LeeUniversity of South Florida, Sarasota, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mississippi ranks among the lowest US states in health-related quality of life (HRQoL), with disparities most severe in rural and socioeconomically disadvantaged counties, particularly the Mississippi Delta. Understanding long-term spatial and temporal patterns is critical for equity-focused public health strategies. We aimed to describe geographic disparities in HRQoL across Mississippi's 82 counties from 2015 through 2025, identify persistent hot spots of poor health, assess convergence with national averages, and inform tailored interventions. Methods: We used County Health Rankings & Roadmaps data (2015-2025) to construct an annual principal component analysis-derived composite HRQoL index from Behavioral Risk Factor Surveillance System measures (poor/fair health, physically unhealthy days, mentally unhealthy days). Local indicators of spatial association (LISA), emerging hot spot analysis (EHSA), and a spatial autoregressive lag model with year fixed effects assessed clustering, spatiotemporal trends, and predictors. Results: We found persistent disadvantage in poor/fair health in Mississippi (stable gap of 6 to 7 percentage points above national averages) but recent convergence in physically unhealthy days and reversal in mentally unhealthy days (fewer days in disadvantaged subgroups). LISA identified a persistent hot spot in the Delta and contraction of cold spots along the Gulf Coast by 2025. EHSA showed sporadic and consecutive hot spots concentrated in the Delta. The spatial autoregressive lag model confirmed significant dependence (ρ = 0.13, P < .001), with adult smoking and uninsurance as leading modifiable predictors. Conclusion: Mississippi's HRQoL trajectory shows symptom-based improvements but persistent structural inequities and geographic disparities. Expanding smoke-free policies, strengthening primary care access, and increasing health insurance coverage are high-impact strategies to reduce disparities and advance health equity in the South.

Indexed as

Health Status DisparitiesQuality of LifeBehavioral Risk Factor Surveillance SystemCluster AnalysisHumansLongitudinal StudiesMississippiSocioeconomic Disparities in HealthSocioeconomic FactorsSpatial Analysis

Identifiers

PMID42721012
PMCPMC13564472

What OpenQuestion holds

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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.