277990
Lifting the weight off the future: Associations between food environment around schools and professionally measured weight status of k-12 students
Methods De-identified data were obtained for over 30000 k-12th grade students in 88 public schools located in four New Jersey cities. School-level information was obtained from the National Center for Education Statistics. Food outlets locations (supermarkets, convenience stores, small grocery stores, and limited service restaurants) obtained from commercial sources were geocoded to develop proximity measures. This study assesses associations between students' BMI and proximity to food outlets using multivariate analysis controlling for student- and school-level factors. Data analysis is underway.
Results 44% of the students were overweight or obese. 20.5% attended high schools, 15.1% middle, and 52.1% elementary schools. On average, students had 2.6 convenience stores, 2.9 limited service restaurants, and 0.1 supermarkets within a quarter mile of a school. Multivariate analysis will assess the association between food outlet types around schools and school- and student-level factors and explores types of outlets that are associated with obesity among students.
Discussion This study uses professionally-measured heights and weights for a large sample of students across the full school-age spectrum. It includes a comprehensive set of proximity measures for different types of food outlets. The study's result may provide evidence for changing food environment around schools.
Public health or related research
Social and behavioral sciences
Learning Objectives:
Identify factors in the food environment surrounding schools that are associated with school characteristics. Describe how different types of food outlet around schools and their proximity may be associated with higher rates of obesity among students
Keywords: Obesity, Food and Nutrition
Qualified on the content I am responsible for because: I have been working with professors in the field of Nutrition and Economics to analyze relationships between food environment around schools and childhood obesity rates.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.