Carregant...
Fitxers
Tipus de document
ArticleVersió
Versió publicadaData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/174762
Introducing the Facility List Coder: A New Dataset/Method to Evaluate Community Food Environments
Títol de la revista
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
Community food environments have been shown to be important determinants to explain dietary patterns. This data descriptor describes a typical dataset obtained after applying the Facility List Coder (FLC), a new tool to asses community food environments that was validated and presented. The FLC was developed in Python 3.7 combining GIS analysis with standard data techniques. It offers a low-cost, scalable, efficient, and user-friendly way to indirectly identify community nutritional environments in any context. The FLC uses the most open access information to identify the facilities (e.g., convenience food store, bar, bakery, etc.) present around a location of interest (e.g., school, hospital, or university). As a result, researchers will have a comprehensive list of facilities around any location of interest allowing the assessment of key research questions on the influence of the community food environment on different health outcomes (e.g., obesity, physical inactivity, or diet quality). The FLC can be used either as a main source of information or to complement traditional methods such as store census and official commercial lists, among others.
Matèries
Matèries (anglès)
Citació
Citació
ARCILA AGUDELO, Ana maría, MUÑOZ-MORA, Juan carlos, FARRAN, Andreu. Introducing the Facility List Coder: A New Dataset/Method to Evaluate Community Food Environments. _Data_. 2020. Vol. 5(1), núm. 23. [consulta: 14 de gener de 2026]. ISSN: 2306-5729. [Disponible a: https://hdl.handle.net/2445/174762]