Arcila-Agudelo, A.M.; Muñoz-Mora, J.C.; Farran-Codina, A. Validity and Reliability of the Facility List Coder, a New Tool to Evaluate Community Food Environments. Int. J. Environ. Res. Public Health2019, 16, 3578.
Arcila-Agudelo, A.M.; Muñoz-Mora, J.C.; Farran-Codina, A. Validity and Reliability of the Facility List Coder, a New Tool to Evaluate Community Food Environments. Int. J. Environ. Res. Public Health 2019, 16, 3578.
Arcila-Agudelo, A.M.; Muñoz-Mora, J.C.; Farran-Codina, A. Validity and Reliability of the Facility List Coder, a New Tool to Evaluate Community Food Environments. Int. J. Environ. Res. Public Health2019, 16, 3578.
Arcila-Agudelo, A.M.; Muñoz-Mora, J.C.; Farran-Codina, A. Validity and Reliability of the Facility List Coder, a New Tool to Evaluate Community Food Environments. Int. J. Environ. Res. Public Health 2019, 16, 3578.
Abstract
A community food environment plays an essential role in explaining the healthy life-style 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) where 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 in order to determine its quality. Our results suggest that automatically-identified and audit-identified food environments have a high level of agreement. The 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.
Keywords
community food environment; nutrition environment; geographical information systems (GIS); Facility List Coder; Python
Subject
Biology and Life Sciences, Food Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
