Examining the Financial Impact of a la Carte Foods in Kansas Public Schools
This project will characterize demographic and financial differences in the dependence on a la carte food sales among school food service programs. Specifically, the aims of this research are to: (a) classify and describe school districts according to their level of a la carte dependence, (b) explore key financial and demographic characteristics that distinguish low, moderate and heavy a la carte dependent districts, and (c) develop a comparative cost-analysis report that food service staff and policymakers can use to inform efforts to reduce, eliminate, or improve the nutritional quality of a la carte offerings. This project will consist of secondary data analysis of the 2008 Annual Financial Report for School Nutrition Programs and Wellness Policy Report provided to the Kansas State Department of Education by all 295 Kansas school districts. The findings from this work will be communicated to districts through a comparative cost-analysis report and to state stakeholders through issue briefs and invited testimonies.
This paper examines how Kansas school districts with low à la carte sales differ from districts with moderate to high à la carte sales on important demographic and financial characteristics. A la carte sales are foods and beverages sold outside the federal reimbursable school meals program. Researchers found that in … More
The marketing of unhealthy foods to children and youth is a major public health concern. Children in the United States grow up surrounded by food and beverage marketing, which primarily promotes products with excessive amounts of added sugar, salt, and fat, and inadequate amounts of fruits, vegetables, and whole grains. … More
This study examines trends in the prevalence of price promotions among packaged food and beverage purchases, differences in prevalence by household race/ethnicity or income, and the association between price promotions and the nutritional profile of purchases. The cross-sectional study uses a dataset of 90 million purchases from 38,744 (2008) to … More