ArticlePloS one2025
The cross-sectional association between state-level public health funding per capita and physical health among adults in the United States.
Article in PloS one, 2025. 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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Authors and funding
6 authors.
Funding
Abstract
objectivesThis study examined the association between state-level public health funding per capita and the odds of poor physical health. STUDY
designCross-sectional.
methodsData from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) were used. Participants' self-reported physical health was reported using the CDC Healthy Days Core Module. State-level public health funding per capita was obtained from the State Health Access Data Assistance Center website. Multilevel logistic regression was used to adjust for self-reported individual-level characteristics and state-level characteristics from the 2018 American Community Survey. We also tested whether household income or education attainment moderated any observed associations.
resultsA one SD increase in state-level public health funding per capita was not associated with the odds ≥ 14 days of poor physical health (OR = 0.96, 95% CI: 0.90, 1.01). However, heterogeneity across household income was observed. Greater public health funding per capita was associated with lower predicted probabilities of reporting ≥ 14 days of poor physical health among respondents from low household income backgrounds ( <$35,000 USD) compared to participants with high household incomes (>$75,000 USD). No associations were observed among those with moderate ($35,000 - $70,000 USD) household incomes. A similar finding was observed among participants with less than high school education when compared to participants with post-secondary education.
conclusionGreater state-level public health funding per capita appears to have a protective association against reporting ≥ 14 days of poor physical health in individuals with lower household incomes and may be helpful in reducing health inequities. Future research is needed to determine whether this association is causal.
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