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2019-09-25

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cc-by (c) Arcila Agudelo, Ana María et al., 2019
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/159218

Validity and reliability of the facility list coder, a new tool to evaluate community food environments

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https://doi.org/10.3390/ijerph16193578

Abstract

A community food environment plays an essential role in explaining the healthy lifestyle patterns of its community members. However, there is a lack of compelling quantitative approaches to evaluate these environments. This study introduces and validates a new tool named the facility list coder (FLC), whose purpose is to assess food environments based on data sources and classification algorithms. Using the case of Mataró (Spain), we randomly selected 301 grids areas (100 m2), in which we conducted street audits in order to physically identify all the facilities by name, address, and type. Then, audit-identified facilities were matched with those automatically-identified and were classified using the FLC to determine its quality. Our results suggest that automatically-identified and audit-identified food environments have a high level of agreement. The intra-class correlation coe cient (ICC) estimates and their respective 95% confidence intervals for the overall sample yield the result 'excellent' (ICC 0.9) for the level of reliability of the FLC.

Subject

Aliments naturals, Sistemes d'informació geogràfica, Python (Llenguatge de programació)

Subject (English)

Natural foods, Geographic information systems, Python (Computer program language)

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Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

Citation

ARCILA AGUDELO, Ana María, MUÑOZ-MORA, Juan Carlos and FARRAN, Andreu. Validity and reliability of the facility list coder, a new tool to evaluate community food environments. International Journal of Environmental Research and Public Health. 2019. Vol. 16, num. 19, pags. 3578. ISSN 1660-4601. [consulted: 7 of August of 2026]. Available at: https://hdl.handle.net/2445/159218

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