Medicine and Health Sciences Commons^™

The Balance Between Sleep And Lifestyle: How Lifestyle Impacts Insufficient Sleep, Evan Hartman, John Monnig

Scholarship in Medicine - All Papers

Sleep insufficiency is a common but overlooked problem for many people. This is harmful because adequate sleep is important to cognitive, emotional, and physical health. This study analyzed how food environment index, smoking, physical activity, and median household income impact sleep insufficiency on an Ohio population. All data was utilized from the County Health Rankings (CHR) database. This analysis presented that the food environment index (r = -0.676, p < .001) and median household income (r = -0.743, p <.001) negatively correlated to insufficient sleep percentage. Furthermore, both adult smoking percentage (r = 0.735, p < .001) and physical inactivity (r = 0.761, p < .001) positively correlated to insufficient sleep percentage. It is also important to note that there was a significant difference between Ohio and Indiana counties (t = -12.347, p < .001), two neighboring states that both contain a mixture of urban and rural populations. Lastly, there was no significant difference between rural and urban Ohio counties (t=-1.521, p=.132). This data presents that more physical activity and less smoking may have positive benefits on sleep along with eating healthier, more nutrient dense food. Moreover, increased median household income may also positively impact sleep. Lifestyle factors such as smoking, physical activity, and increased nutritious food consumption are all avenues for patients to try to implement into their own lives to improve their sleep. Hopefully, such lifestyle modifications will improve sleep quality and thus result in an improvement in other aspects of their overall health.

Factors Contributing To Adult Obesity: A Midwestern Analysis, Makul Sharma, Hop Lewis

Scholarship in Medicine - All Papers

Objective: To investigate the association between adult obesity and several health-related factors: access to healthy food, exercise opportunities, and physical inactivity in Ohio compared to other Midwestern regional states (Illinois and Iowa) in 2022

Methods: Data was obtained from a County Health Rankings Model using the Behavioral Risk Factor Surveillance System (BRFSS). Data were then weighted to reflect population distribution and then used to measure various health behaviors and health-related quality of life (RQoL) indicators.

Results: We found significantly higher rates of adult obesity in Ohio compared to Illinois and Iowa. It was also determined that adult obesity in Ohio …

Comparing The Impact Of Food Insecurity, Access To Exercise Opportunities, And County Classification On Obesity Rates In Ohio, Ankur Parekh, Deborah Lee

Scholarship in Medicine - All Papers

Objective: We completed a study to determine how food insecurity, access to exercise opportunities, and county classification (rural or urban) impacted obesity rates in Ohio. We hypothesized that the county classification impacted obesity the most followed by food insecurity and access to exercise opportunities.

Methods: We obtained data on food insecurity, access to exercise opportunities, and obesity from County Health Rankings and county classification data from the United States Department of Agriculture Census. We analyzed correlations between obesity and food insecurity and obesity and access to exercise opportunities in both county types. We also analyzed changes in obesity rates in …

The Effect Of Neighborhood Safety On Childhood Mental And Behavioral Health Problems, Courtney Kiggins, Alayna Pavol

Scholarship in Medicine - All Papers

The correlation between socioeconomic status (SES) and adverse childhood experiences (ACEs) with mental and behavioral health problems is well documented, however the connection between neighborhood safety and mental and behavioral health problems is not well understood. This study analyzes the impact of neighborhood safety on childhood mental and behavioral health outcomes. Data collected by the National Survey of Children’s Health (NSCH) was used for this study and statistically analyzed using IBM SPSS software. A strong connection was found between poverty level and childhood mental and behavioral health outcomes, where those who were more impoverished had higher percentages of children experiencing …