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Food Environment around Schools: A Systematic Scope Review.

Fabiana Chagas Oliveira de FrançaIziane da Silva AndradeRenata Puppin ZandonadiKarin Eleonora SávioRita de Cássia Coelho de Almeida Akutsu
Published in: Nutrients (2022)
The present systematic scope review intended to compile state-of-the-art information about the food environment around schools, exploring the main methods used to describe the food environment around schools as well as the possible effects that this environment can promote on the health of children and adolescents. The preferred reporting items for systematic reviews and meta-analyses-extension for scoping reviews (PRISMA-ScR) checklist and guidelines were followed to ensure a robust and repeatable methodological process. A systematic search was performed in the following electronic databases: MEDLINE, Embase, Science Direct, Web of Science, LILACS, and Scopus, as well as in related articles, a manual search of reference lists and gray literature. Forty-six studies were selected. There was no standardization regarding distances from food establishments to schools, methods of analysis, and software used. The food environment around the schools was characterized by the wide availability of food establishments, especially fast food, convenience stores, supermarkets, and grocery stores known for offering a wide variety of unhealthy foods. Regarding the correlations with the health of children and adolescents, the evidence points to possible interferences of the food environment known as obesogenic, but it cannot be related only to the school environment since most of the acquisition and consumption of food usually happens around family homes. Conducting standardized and comprehensive studies evaluating food choices in the school environment and their interrelationships is very important to ensure children's food and nutrition security and minimize negative health outcomes in the medium and long term.
Keyphrases
  • human health
  • systematic review
  • mental health
  • healthcare
  • physical activity
  • meta analyses
  • risk assessment
  • emergency department
  • health information
  • machine learning