Introduction: In-store promotion of food products leads to more frequent purchases. Product promotion can vary by store characteristics. We compared marketing strategies used by grocery stores to promote fruit and vegetables (FV) in neighborhoods with varying socio-economic and racial/ethnic characteristics.<br/><br/>Methods: Data was collected from a random sample of 12 large grocery stores from the same national chain located within a 15-mile radius of Downtown Phoenix. Store zip-code level median household income was used to classify stores as located in lower (<$50,000) or higher (>$50,000) income areas. Stores located in neighborhoods with more than 50% Hispanic population were classified as majority Hispanic serving. The ProPromo tool was adapted to document the presence and promotion of FV at 8 distinct locations throughout each store. Types of promotion strategies documented included displays, price promotions, size, or themes.<br/><br/>Results: FV were present at the entrance, islands, checkouts, and produce section; while fruits were promoted in all of these locations, vegetables were promotion in fewer locations. All stores used size and price promotion to promote FV; display was used to promote vegetables in 2 stores and fruits in all stores. On average stores promoted 32 fruits and 38 vegetables. Stores serving higher and lower income areas promoted similar numbers of FV. However, stores in Hispanic majority neighborhoods promoted fewer FV (66) in comparison to those in Hispanic minority areas (73).<br/><br/>Conclusion: Fruit and vegetable promotion disparity associated with neighborhood demographics may contribute to disparities in fruit and vegetable consumption.
Hispanic youth have the highest risk for obesity, making this population a key priority for early childhood interventions to prevent the development of adult obesity and its consequences. Involving parents in these interventions is essential to support positive long-term physical activity and nutrition habits. Interventions in the past have engaged parents by providing information about nutrition and fruit and vegetable intake through written materials or text such as newsletters and text messages. The Sustainability via Active Garden Education (SAGE) intervention used gardening and interactive activities to teach preschool children ages 3-5 about healthy eating and physical activity. It aimed to increase physical activity and fruit and vegetable intake in preschool children as well as improve related parenting practices. The intervention utilized newsletters to engage parents by promoting opportunities to increase physical activity and fruit and vegetable intake for their children at home. The newsletters also encouraged parents to discuss what was learned during the SAGE lessons with their children. The purpose of this paper is to describe the content of the newsletters and determine the parent perception of the newsletters through parent survey responses. This can help inform future childhood obesity interventions and parent engagement.
The field of biomedical research relies on the knowledge of binding interactions between various proteins of interest to create novel molecular targets for therapeutic purposes. While many of these interactions remain a mystery, knowledge of these properties and interactions could have significant medical applications in terms of understanding cell signaling and immunological defenses. Furthermore, there is evidence that machine learning and peptide microarrays can be used to make reliable predictions of where proteins could interact with each other without the definitive knowledge of the interactions. In this case, a neural network was used to predict the unknown binding interactions of TNFR2 onto LT-ɑ and TRAF2, and PD-L1 onto CD80, based off of the binding data from a sampling of protein-peptide interactions on a microarray. The accuracy and reliability of these predictions would rely on future research to confirm the interactions of these proteins, but the knowledge from these methods and predictions could have a future impact with regards to rational and structure-based drug design.