Average Household Income in Relation to Individual Dietary Consumption of Fruits and Vegetables

The purpose of this analysis is to review data from the USDA Economic Research Survey in a data collection regarding FoodAPS National Household Food Acquisition and Purchase Survey. Our data include a sample size of 4,826 participating households with 279 variables describing each household. Several variables were utilized which include average collective income for households, perceptions of fruit and vegetable prices and quality, self-reporting items about perceived fruit and vegetable consumption, and financial survey responses. With these chosen variables we made initial inferences that there would be a relationship between income and fruit consumption. We predict that throughout the duration of the study, we will find a relationship to explain how collective income affects recommended fruit and vegetable consumptions in households. We began our study by cleaning our data and variables as they pose relevance to our research. Then we began making graphs and charts of each variable to visually inspect univariate variables. When we begin running analysis, we will perform statistical testing to identify if there is a relationship between our independent variable (fruit and vegetable consumption) and our dependent variable (household income). Through the results of these, we can start making conclusions as to whether our hypothesis can be supported. Our analysis models will include frequency tables that will show various correlation coefficients between both our categorical and continuous variables and present any statistical relationship between our chosen variables. Finally, conclusions are drawn from T-tests to show our hypothesis and prediction is supported and that there is some relationship between our variables to show that average household income may influence fruit and vegetable consumption. If these results show predicted conclusions, we will have evidence that allow for policy change and public health advancements as it relates to ensuring individuals have readily access to healthy diets regardless of income

The Impact of Parentification on Adult Health Behaviors and Outcomes

Parentification is a multi-dimensional phenomenon that is often examined as it is occurring to affected members of this population: children. More specifically, adolescents tend to be the primary focus of such research endeavors devoted to areas like mental health and substance use. The literature is ripe with best practices for many disciplines (e.g., social work, psychology, etc.) in service to those impacted by parentification as well as those that are responsible for imparting the parentification experience (i.e., parents). What is less understood is how parentification informs health behavior and outcomes in adulthood, which is the focus of the current research that seeks to further these conversations with a comprehensive extension into specific health behaviors and outcomes as they relate to the experience of parentified adults. An evidence review will occur to 1) identify the gaps in understanding between parentification in adults and specific health behaviors and outcomes and 2) discern to the extent possible which demographic variables (e.g., gender, age, etc.) are of significance to the parentification experience. The review will begin the development of an instrument in which parentification and underrepresented health behaviors and outcomes will be assessed. Results will reveal the gaps in understanding and provide the path forward for future research activities by way of evidence-based instrument development and assessment., which will deepen the existing conversation around the impact of parentification on adult health behavior and outcomes. Parentification is not a new concept, nor is the conversation around it. However, the health impact on adulthood has not been fully explored as it relates to 1) health behaviors like help seeking and self-care and 2) multi-dimensional health outcomes: physical, emotional, social, etc. This endeavor will yield insight that several disciplines and affected populations can use to either strengthen or sustain health behaviors and outcomes

Modality of Classes and Burnout in College Students

The Covid-19 pandemic has changed how students learn. Many students had to adapt to an all-online class modality. With the increased use of online modality of classes, will burnout scores increase in college students? In previous studies, researchers have mainly focused on burnout in the workplace. There is a gap in the literature in student burnout which we plan to explore. Research about the academic workforce found that indicators of burnout have increased sharply. The current study investigated if a student\u27s class modality influences burnout scores. Students will receive a survey asking about their class modalities (online, in-person, hybrid) and will also be asked questions from the Maslach Burnout Inventory. We found that the Maslach Burnout Inventory has been the leading burnout indication measurement. This inventory will give three different scores in three different categories: occupational exhaustion, loss of empathy, and personal accomplishment. With these questions answered, we hypothesized that students taking more online classes will score higher on the Maslach Burnout Inventory in occupational exhaustion and loss of empathy. We also hypothesize that students taking more online classes will show a lower score in the personal accomplishment category