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Full-Text Articles in Public Health
Relationship Between Poverty And Ed Visit Rate (Per 10,000) With Primary Diagnosis Of Asthma Amongst Ohio Counties, Emily Schneider
Relationship Between Poverty And Ed Visit Rate (Per 10,000) With Primary Diagnosis Of Asthma Amongst Ohio Counties, Emily Schneider
Scholarship in Medicine - All Papers
Objective: Previous literature have found mixed results regarding poverty as a risk factor for asthma prevalence. More recently, national data obtained from Medicaid has shown that there is no association between poverty and asthma prevalence but has shown an association with asthma-related Emergency Department (ED) visits and hospitalizations. The objective of this study is to determine if this relationship is evident amongst the 88 counties in Ohio. Methods: Pearson correlations were conducted with the following variables: percent in poverty under age 18 and the ED visit rate with a primary diagnosis of asthma amongst children in each Ohio county. This …
A Statistical Analysis Of Poverty Indicators On The Opioid Crisis In Ohio, Calsey Graham, Alex Shiplett
A Statistical Analysis Of Poverty Indicators On The Opioid Crisis In Ohio, Calsey Graham, Alex Shiplett
Scholarship in Medicine - All Papers
Objective: Our objective was to identify the effect poverty has on rates of opioid overdose in Ohio counties. Based on previous research, we determined our indicators of poverty to examine were: median-household income, rates of children in free lunch programs, and residential segregation. Utilizing data from both Ohio counties and the state of California, we investigated how our indicators of poverty influenced drug overdose deaths in order to provide public health directives going forward. Methods: We utilized County Health records that combined multiple outlets to retrieve the necessary data to compare rates of poverty and opioid overdose in Ohio’s counties. …
Socioeconomic Status Impact On Smoking Rates In Ohio In 2019, Zafer Sattouf
Socioeconomic Status Impact On Smoking Rates In Ohio In 2019, Zafer Sattouf
Scholarship in Medicine - All Papers
Objective: To study the impact of socioeconomic status on smoking. Research Questions: This research study aims to determine the impact of socioeconomic status on smoking rates across counties in Ohio in 2019. It is investigating how different variables such as education, income, and employment status are correlated with smoking rates across different counties. Methods: Correlation studies and ANOVA were conducted to show how smoking affects premature deaths and how socioeconomic indicators affect smoking rates. Results: Smoking is associated with increased numbers of premature deaths in Ohio 2019 (p < 0.001). Higher levels of education, higher income, and lower unemployment rates has been associated with lower smoking rates in Ohio 2019 (p < 0.001).
Differences In Social Determinants Of Health Between Rural And Urban Counties Of Ohio, Megan E. Luft
Differences In Social Determinants Of Health Between Rural And Urban Counties Of Ohio, Megan E. Luft
Scholarship in Medicine - All Papers
Objective: The objective of this study is to investigate any possible differences in social determinants of health between rural and urban counties of Ohio and how the determinants relate to each other. Methods: All data for each variable (percentage of population who have some college education, food insecurity rate, number of primary care physicians per population, average mentally unhealthy days for adults in a month, drug overdose death rate, life expectancy, and child poverty rate) was collected through County Health Rankings and Roadmaps from either statewide or nationwide programs through different studies and surveys from 2013-2017. I utilized descriptive statistics, …
Impact Of Different Factors On Premature Deaths In Rural And Urban Virginian Counties, Christian Randazzo
Impact Of Different Factors On Premature Deaths In Rural And Urban Virginian Counties, Christian Randazzo
Scholarship in Medicine - All Papers
The goal of this investigation is to analyze data that influences premature death rates in Virginian counties. Specifically, I am looking at how the rates compare between rural and urban Virginian counties in 2020. In addition, I am analyzing how the premature death rates correlates with low birthweights, with air pollution, with preventable hospital stays, and with children in poverty and see how these variables predict the variance in premature death rates by county. I am using data from the County Health Rankings website. They gathered their data via surveys, the National Vital Statistics System, the CDC health tracking network, …