Measuring inequalities in health: Looking at social and economic factors that affect health inequality in countries
Advisor(s)
Dr. Matthew Kutch
Confirmation
1
Document Type
Poster
Location
ONU McIntosh Center; Activities Room
Start Date
11-4-2025 12:00 PM
End Date
11-4-2025 12:50 PM
Abstract
Health inequality remains a critical global issue, as disparities in health outcomes can lead to significant societal and economic consequences. Unequal access to healthcare, healthy living conditions, and essential resources often results in preventable illness and premature mortality. Past research indicates that factors such as income disparity, education levels, employment opportunities, and housing conditions play a crucial role in shaping health outcomes. This study aims to analyze disparities in health outcomes at the country level by exploring a number of determinants. Using regression analysis to decompose factors contributing to health inequality.
Recommended Citation
Mellott, Colin R., "Measuring inequalities in health: Looking at social and economic factors that affect health inequality in countries" (2025). ONU Student Research Colloquium. 65.
https://digitalcommons.onu.edu/student_research_colloquium/2025/Posters/65
Restricted
Available to ONU community via local IP address and ONU login.
Measuring inequalities in health: Looking at social and economic factors that affect health inequality in countries
ONU McIntosh Center; Activities Room
Health inequality remains a critical global issue, as disparities in health outcomes can lead to significant societal and economic consequences. Unequal access to healthcare, healthy living conditions, and essential resources often results in preventable illness and premature mortality. Past research indicates that factors such as income disparity, education levels, employment opportunities, and housing conditions play a crucial role in shaping health outcomes. This study aims to analyze disparities in health outcomes at the country level by exploring a number of determinants. Using regression analysis to decompose factors contributing to health inequality.