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Articles 31 - 35 of 35
Full-Text Articles in Public Health
Insufficient Sleep In 2020: Where Does Ohio Stand?, Daniel Masters
Insufficient Sleep In 2020: Where Does Ohio Stand?, Daniel Masters
Scholarship in Medicine - All Papers
Objective: To determine the impact of insufficient sleep on premature death and mental health as well as see how the levels of insufficient sleep in Ohio compare to previous years and to other states in the US. Methods: Data on insufficient sleep, premature death, smoking, food environment index, physical inactivity, and poor mental health days was all collected from County Health Rankings and then analyzed. Results: Insufficient sleep was found to be moderately correlated to years of potential life lost in a positive manner in Ohio in 2020. Insufficient sleep has risen in Ohio from 2016 (35.76%) to 2020 (37.04%). …
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, …
The Relationship Between Upstream Variables And Diabetes In Ohio, Brenna Lammers
The Relationship Between Upstream Variables And Diabetes In Ohio, Brenna Lammers
Scholarship in Medicine - All Papers
Chronic illness is a significant contributor to disease burden in the US. Among these chronic conditions, diabetes is one of the most prevalent. Knowing the relationships between various factors and the prevalence of diabetes would be beneficial to creating targeted approaches to address this major public health problem. Therefore, the objective of this project was to elucidate the relationship between social determinants of health (unemployment, food environment index, and access to exercise opportunities) and access to care variables (ratio of population to primary care physicians and percent uninsured) with prevalence of diabetes by county in Ohio. This was done through …
Looking Into The Importance Of Mental Health In Ohio, Tanner Graves
Looking Into The Importance Of Mental Health In Ohio, Tanner Graves
Scholarship in Medicine - All Papers
Objective: This study is meant to analyze the effects of poor mental health as it relates to other health outcomes. Methods: Data on mental and physical health will be collected from the County Health Rankings website. Then tests will be performed to compare rates of poor mental health days between Ohio and various other states. Then the number of poor mental health days will be correlated to physical inactivity and premature death rates to see if there is a positive or negative correlation. Lastly, poor mental health days and insufficient sleep will he used to see if those two variables …