Document Type

Article

Publication Date

2025

Advisor

Jeannette Manger

Abstract

Objective: This study investigates the impact of socioeconomic factors specifically childhood poverty, uninsurance, and severe housing problems on childhood mortality rates in Ohio in 2016 and 2023.
Methods: The study analyzes county-level data from Ohio in 2016 and 2023, focusing on childhood mortality, childhood poverty, uninsurance, and severe housing problems using data from County Health Rankings and Roadmaps1. Statistical analyses, including paired t-tests, Spearman correlations, and linear regression, were performed to examine associations and predictive relationships.
Results: Childhood poverty was found to have a moderate, statistically significant correlation with childhood mortality in Ohio for 2023, emerging as the strongest predictor in a regression model. Severe housing problems displayed a weaker but still significant association, while childhood uninsurance showed no meaningful correlation. No significant differences in childhood mortality rates were observed between 2016 and 2023. These findings emphasize the critical role of economic factors in childhood mortality and underscore the need for targeted interventions.


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