Disciplines
Dietetics and Clinical Nutrition | Food Studies
Abstract (300 words maximum)
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.
Academic department under which the project should be listed
WCHHS - Health Promotion and Physical Education
Primary Investigator (PI) Name
Kevin Gittner
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.