Community Food Environment in Brazilian Medium-Sized Municipality After the Ore Dam Break: Database Creation and Diagnosis

Patrícia Pinheiro de Freitas, Mariana Souza Lopes, Nathália Luíza Ferreira, Sérgio Viana Peixoto and Aline Cristine Souza Lopes ()
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Patrícia Pinheiro de Freitas: Grupo de Pesquisa de Intervenções em Nutrição (GIN/UFMG), Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 39100-000, Minas Gerais, Brazil
Mariana Souza Lopes: Grupo de Pesquisa de Intervenções em Nutrição (GIN/UFMG), Universidade Federal da Paraíba, João Pessoa 58051-900, Paraíba, Brazil
Nathália Luíza Ferreira: Núcleo de Estudos e Pesquisas em Epidemiologia e Nutrição (NEPEN), Grupo de Pesquisa de Intervenções em Nutrição (GIN/UFMG), Universidade Federal de Lavras, Lavras 37200-900, Minas Gerais, Brazil
Sérgio Viana Peixoto: Departamento de Gestão em Saúde, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Minas Gerais, Brazil
Aline Cristine Souza Lopes: Grupo de Pesquisa de Intervenções em Nutrição (GIN/UFMG), Universidade Federal de Minas Gerais, Belo Horizonte 30130-100, Minas Gerais, Brazil

IJERPH, 2025, vol. 22, issue 11, 1-14

Abstract: This study proposed a methodology for obtaining a valid database of food retail establishments and characterized the community food environment, understood as the distribution and type of food outlets, in a Brazilian medium-sized municipality after the collapse of a mining tailings dam. An ecological study was conducted with establishments selling food for home consumption (butcher shops, fish markets; fruit and vegetable specialty markets; large- and small-chain supermarkets; bakeries and local markets) and immediate consumption (bars, snack bars, and restaurants). For home-consumption establishments, data were requested from governments and completed with website/app searches, virtual audits (Google Street View), and on-site audits. For immediate-consumption establishments, only on-site audit was used due to the low quality of the secondary databases. Agreement between databases was assessed with the Kappa statistic. Density (d) was calculated by the area (in km 2 ) of the sampling stratum. Public databases presented low validity (23.0%; Kappa −0.388; p = 1.000), even after virtual auditing (31.4%; Kappa 0.37; p < 0.001). 96 establishments for home consumption and 261 for immediate consumption were identified, with predominance of local markets (35.4%), bars (35.2%), and snack bars (29.1%). The region with the highest density of establishments was the “Other Areas” stratum (d = 4.7 for home-consumption establishments and d = 13.2 for immediate-consumption establishments). Audit proved most effective, especially for small establishments. The lack of governmental databases and the identified food environment should inform municipal policies to promote food and nutrition security and reduce inequalities after the disaster.

Keywords: disasters; food environment; food retail; validation studies (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:22:y:2025:i:11:p:1723-:d:1794822

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