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 coefficient (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.
journal_name
Int J Environ Res Public Healthauthors
Arcila-Agudelo AM,Muñoz-Mora JC,Farran-Codina Adoi
10.3390/ijerph16193578subject
Has Abstractpub_date
2019-09-25 00:00:00issue
19eissn
1661-7827issn
1660-4601pii
ijerph16193578journal_volume
16pub_type
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