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Author ORCID Identifier

https://orcid.org/0009-0002-5434-8996

Date Available

4-22-2027

Year of Publication

2025

Document Type

Graduate Capstone Project

Degree Name

Master of Public Health (M.P.H.)

College

Public Health

Department/School/Program

Public Health

Faculty

Dr. Anna Hoover

Committee Member

Dr. Jay Christian

Faculty

Dr. Florence Fulk

Faculty

Dr. Rachel Hogg-Graham

Abstract

Objective: To examine the association between federally declared disasters and mental health outcomes at the county level in Kentucky from 2016 to 2019, using average poor mental health days as the outcome. A secondary objective was to explore how underlying socioeconomic factors, such as income inequality and unemployment, might influence or confound this relationship.
Methods: This ecological study used county-level BRFSS data to analyze average poor mental health days over a four-year period across 120 Kentucky counties. Disaster exposure was categorized as 0, 1, or 2+ FEMA disaster declarations. County-level covariates, including income inequality and unemployment rate (sourced from 2021 County Health Rankings), were examined visually. A one-way ANOVA tested for significant differences in mean poor mental health days across disaster exposure categories.
Results: Counties with 2+ disasters had significantly higher average poor mental health days (mean = 5.77) than those with 0 (mean = 4.61) or 1 disaster (mean = 4.87); F(2, 117) = 10.03, p < .001. Not all high-burden counties experienced disasters, suggesting other contributing factors. Covariate maps revealed that high unemployment and income inequality also aligned with worse mental health outcomes.
Conclusion: The findings could suggest a cumulative mental health impact from repeated disasters, compounded by underlying socioeconomic stressors. Public health strategies should prioritize both disaster-related and structural factors when addressing mental health in vulnerable communities.

Available for download on Thursday, April 22, 2027

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