SNAP and Cardiometabolic Risk in Youth

Increasing numbers of children and adolescents have unhealthy cardiometabolic risk factors and show signs of developing metabolic syndrome (MetS). Low-income populations tend to have higher levels of risk factors associated with MetS. The Supplemental Nutrition Assistance Program (SNAP) has the potential to reduce poverty and food insecurity, but little is known about how the program affects MetS. We examine the relationship between SNAP and the cardiometabolic risk factors in children and adolescents using regression discontinuity to control for unobserved differences between participants and nonparticipants. We find that SNAP-eligible youth who experience food insecurity have significantly healthier outcomes compared to food-insecure youth just over the income-eligibility threshold. Our findings suggest that SNAP may be most beneficial to the most disadvantaged households. Policy makers should consider the broad range of potential health benefits of SNAP

A College Fast-Food Environment and Student Food and Beverage Choices: Developing an Integrated Database to Examine Food and Beverage Purchasing Choices among College Students

Universities typically offer residential students a variety of fast-food dining options as part of the student meal plan. When residential students make fast-food purchases on campus there is a digital record of the transaction which can be used to study food purchasing behavior. This study examines the association between student demographic, economic, and behavioral factors and the healthfulness of student fast-food purchases. The 3781 fast-food items sold at the University of North Carolina at Charlotte from fall 2016 to spring 2019 were given a Fast-Food Health Score. Each student participating in the university meal plan was given a Student Average Fast-Food Health Score; calculated by averaging the Fast-Food Health Scores associated with each food and beverage item the student purchased at a fast-food vendor, concession stand, or convenience store over a semester. This analysis included 14,367 students who generated 1,593,235 transactions valued at $10,757,110. Multivariate analyses were used to examine demographic, economic, and behavioral factors associated with Student Average Fast-Food Health Scores. Being of a low income, spending more money on fast-food items, and having a lower GPA were associated with lower Student Average Fast-Food Health Scores. Future research utilizing institutional food transaction data to study healthy food choices is warranted