Spatial distribution of commercial food establishments in a Northern State of Brazil
do we have food deserts and swamps?
Keywords:
Built environment, Food deserts, Food insecurity, Geographic mapping, Spatial analysisAbstract
Objective
This study aimed to evaluate the spatial distribution of commercial food establishments in the state of Tocantins, in order to identify the presence of food deserts and swamps and its relationship with sociodemographic characteristics.
Methods
The present study is an ecological (observational) study of secondary state data. Sociodemographic and stablishment data were extracted from open government databases. After extracting the data, establishments were filtered according to CNAE, and a total of
4.202 establishments were distributed in 139 municipalities in the state of Tocantins. Each establishment was classified as unprocessed, mixed or ultra-processed. Since there is a high number of small-sized I municipalities, the density data of both types of establishments, associated relationships were calculated per 1000 inhabitants and then divided into quartiles. Lastly, maps were constructed for included establishments, using the QGIS software.
Results
In the north of the state, a tendency towards spatial clustering of municipalities in the first quartile of the distribution of healthy establishments was observed, indicating food deserts. Food deserts are spread across the whole territory of Tocantins, but food swamps are absent.
Conclusion
This study suggests that food deserts are present in Tocantins and food swamps could not be found, despite unhealthy stablishments being concentrated along BR highway 153.
References
Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, Neal B, et al. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): Overview and key principles. Obes Rev. 2013;14 Suppl 1:1-12. https://doi.org/10.1111/obr.12087
Downs SM, Ahmed S, Fanzo J, Herforth A. Food environment typology: Advancing an expanded definition, framework, and methodological approach for improved characterization of wild, cultivated, and built food environments toward sustainable diets. Foods. 2020;9(4):532. https://doi.org/10.3390/foods9040532
Franklin B, Jones A, Love D, Puckett S, Macklin J, White-Means S. Exploring mediators of food insecurity and obesity: A review of recent literature. J Community Health. 2012;37(1):253-64. https://doi.org/10.1007/s10900-011-9420-4
Nackers LM, Appelhans BM. Food insecurity is linked to a food environment promoting obesity in households with children. J Nutr Educ Behav. 2013;45(6):780-4. https://doi.org/10.1016/j.jneb.2013.08.001
Oliveira JS, Menezes RCE, Almendra R, Lira PIC, Aquino NB, Souza NP, et al. Unhealthy food environments that promote overweight and food insecurity in a brazilian metropolitan area: A case of a syndemic? Food Policy. 2022;112:102375. https://doi.org/10.1016/j.foodpol.2022.102375
Câmara Interministerial de Segurança Alimentar e Nutricional. Estudo Técnico: Mapeamento dos Desertos Alimentares no Brasil. Brasília: Ministério da Cidadania. 2018.
Dubowitz T, Zenk SN, Ghosh-Dastidar B, Cohen DA, Beckman R, Hunter G. Healthy food access for urban food desert residents: Examination of the food environment, food purchasing practices, diet and BMI. Public Health Nutr. 2015;18(12):2220-30. https://doi.org/10.1017/S1368980014002742
Assis MM, Leite MA, Carmo ASD, Andrade ACS, Pessoa MC, Pereira Netto M, et al. Food environment, social deprivation and obesity among students from Brazilian public schools. Public Health Nutr. 2019;22(11):1920-7. https://doi.org/10.1017/S136898001800112X
Duran AC, de Almeida SL, Latorre Mdo R, Jaime PC. The role of the local retail food environment in fruit, vegetable and sugar-sweetened beverage consumption in Brazil. Public Health Nutr. 2016;19(6):1093-102. https://doi.org/10.1017/S1368980015001524
Cooksey-Stowers K, Schwartz MB, Brownell KD. Food swamps predict obesity rates better than food deserts in the United States. Int J Environ Res Public Health. 2017;14(11):1366. https://doi.org/10.3390/ijerph14111366
Phillips AZ, Rodriguez HP. U.S. county “food swamp” severity and hospitalization rates among adults with diabetes: A nonlinear relationship. Soc Sci Med. 2020;249:112858. https://doi.org/10.1016/j.socscimed.2020.112858
Pérez-Ferrer C, Auchincloss AH, de Menezes MC, Kroker-Lobos MF, Cardoso LO, Barrientos-Gutierrez T. The food environment in Latin America: A systematic review with a focus on environments relevant to obesity and related chronic diseases. Public Health Nutr. 2019;22(18):3447-64. https://doi.org/10.1017/S1368980019002891
Dubowitz T, Ghosh-Dastidar M, Eibner C, Slaughter ME, Fernandes M, Whitsel EA, et al. The Women’s Health Initiative: The food environment, neighborhood socioeconomic status, BMI, and blood pressure. Obesity. 2012;20(4):862-71. https://doi.org/10.1038/oby.2011.141
Laska MN, Hearst MO, Forsyth A, Pasch KE, Lytle L. Neighbourhood food environments: Are they associated with adolescent dietary intake, food purchases and weight status? Public Health Nutr. 2010;13(11):1757-63. https://doi.org/10.1017/S1368980010001564
Matozinhos FP, Gomes CS, Andrade AC, Mendes LL, Pessoa MC, Friche AA. Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context. Prev Med Rep. 2015;2:337-41. https://doi.org/10.1016/j.pmedr.2015.04.019
Black JL, Macinko J, Dixon LB, Fryer Jr GE. Neighborhoods and obesity in New York City. Health Place. 2010;16(3):489-99. https://doi.org/10.1016/j.healthplace.2009.12.007
Del Duca GF, Rombaldi AJ, Knuth AG, Azavedo MR, Nahas MV, Hallal PC. Associação entre nível econômico e inatividade física em diferentes domínios. Rev Bras Ativ Fís Saúde. 2012;14(2):123-31. https://doi.org/10.12820/rbafs.v.14n2p123-131
Santana P, Santos R, Nogueira H. The link between local environment and obesity: A multilevel analysis in the Lisbon Metropolitan Area, Portugal. Soc Sci Med. 2009;68(4):601-9. hhttps://doi.org/10.1016/j.socscimed.2008.11.033
Atlas Brasil. Atlas do Desenvolvimento Humano no Brasil: base de dados [cited 2021 Sep 18]. Available from: http://atlasbrasil.org.br/
Brasil. Resolução – CIB No 161/2012, de 29 de agosto de 2012. Dispõe sobre a Conformação das Novas Regiões de Saúde do Estado do Tocantins e as ações e serviços mínimos a serem ofertados nesses territórios. Palmas: Governo do Tocantins; 2012 [cited 2021 Sep 18]. Available from: https://central3.to.gov.br/arquivo/244723/
Brasil. Constituição da República Federativa do Brasil de 1988. Brasília: Presidência da República; 2016 [cited 2021 Sep 18]. Available from: http://www.planalto.gov.br/ccivil_03/constituicao/constituicao.htm
Intituto Brasileiro de Geogrefia e Estatística. Produto Interno Bruto (PIB). Instituto Brasileiro de Geografia e Estatística; 2021 [cited 2021 Sep 18]. Available from: https://www.ibge.gov.br/explica/pib.php
Pérez-Ferrer C, Auchincloss AH, Barrientos-Gutierrez T, Colchero MA, de Oliveira Cardoso L, Carvalho de Menezes M, et al. Longitudinal changes in the retail food environment in Mexico and their association with diabetes. Health Place. 2020;66:102461. https://doi.org/10.1016/j.healthplace.2020.102461
Ziso D, Chun OK, Puglisi MJ. Increasing access to healthy foods through improving food environment: A review of mixed methods intervention studies with residents of low-income communities. Nutrients. 2022;14(11):2278. https://doi.org/10.3390/nu14112278
Souza TN, Andrade GC, Rauber F, Levy RB, da Costa Louzada ML. Consumption of ultra-processed foods and the eating location: Can they be associated? Br J Nutr. 2022;128(8):1587-1594. https://doi.org/10.1017/S0007114521004992
Walker RE, Keane CR, Burke JG. Disparities and access to healthy food in the United States: A review of food deserts literature. Health Place. 2010;16(5):876-84. https://doi.org/10.1016/j.healthplace.2010.04.013
Allcott H, Diamond R, Dubé J-P, Handbury J, Rahkovsky I, Schnell M. Food deserts and the causes of nutritional inequality. Q J Econ. 2019;134(4):1793-844. https://doi.org/10.1093/qje/qjz015
Pagliai G, Dinu M, Madarena MP, Bonaccio M, Iacoviello L, Sofi F. Consumption of ultra-processed foods and health status: A systematic review and meta-analysis. Br J Nutr. 2021;125(3):308-18. https://doi.org/10.1017/S0007114520002688
Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, et al. Consumption of ultra-processed foods and cancer risk: Results from NutriNet-Santé prospective cohort. BMJ. 2018;360:k322. https://doi.org/10.1136/bmj.k322
Milosavljevic M, Navalpakkam V, Koch C, Rangel A. Relative visual saliency differences induce sizable bias in consumer choice. J Consum Psychol. 2012;22(1):67-74. https://doi.org/10.1016/j.jcps.2011.10.002
Goodman M, Thomson J, Landry A. Food Environment in the Lower Mississippi Delta: Food Deserts, Food Swamps and Hot Spots. Int J Environ Res Public Health. 2020;17(10):3354. https://doi.org/10.3390/ijerph17103354
Rhone A, Ver Ploeg M, Williams R, Breneman V. Understanding Low-Income and LowAccess Census Tracts Across the Nation: Subnational and Subpopulation Estimates of Access to Healthy Food. USDA; 2019 [cited 2021 Sep 18]. Available from: https://www.ers.usda.gov/publications/pub-details/?pubid=93140
Andretti B, Cardoso LO, Honório OS, de Castro Junior PCP, Tavares LF, da Costa Gaspar da Silva I, et al. Ecological study of the association between socioeconomic inequality and food deserts and swamps around schools in Rio de Janeiro, Brazil. BMC Public Health. 2023;23(1):120. https://doi.org/10.1186/s12889-023-14990-8
Sisk A, Rappazzo K, Luben T, Fefferman N. Connecting people to food: A network approach to alleviating food deserts. J Transp Health. 2023;31:1-12. https://doi.org/10.1016/j.jth.2023.101627
Grilo MF, Menezes C, Duran AC. Food swamps in Campinas, Brazil. Ciênc Saúde Coletiva. 2022;27(7):2717-28. https://doi.org/10.1590/1413-81232022277.17772021en
Hager ER, Cockerham A, O’Reilly N, Harrington D, Harding J, Hurley KM, et al. Food swamps and food deserts in Baltimore City, MD, USA: Associations with dietary behaviours among urban adolescent girls. Public Health Nutr. 2017;20(14):2598-607. https://doi.org/10.1017/S1368980016002123
Honório OS, Pessoa MC, Gratão LHA, Rocha LL, de Castro IRR, Canella DS, et al. Social inequalities in the surrounding areas of food deserts and food swamps in a Brazilian metropolis. Int J Equity Health. 2021;20(1):168. https://doi.org/10.1186/s12939-021-01501-7
Jiao J, Moudon AV, Ulmer J, Hurvitz PM, Drewnowski A. How to identify food deserts: Measuring physical and economic access to supermarkets in King County, Washington. Am J Public Health. 2012;102(10):e32-9. https://doi.org/10.2105/AJPH.2012.300675
Zhang M, Ghosh D. Spatial supermarket redlining and neighborhood vulnerability: A case study of hartford, connecticut. Trans GIS. 2015;20(1):79-100. https://doi.org/10.1111/tgis.12142
Bilková K, Križan F. Mapping of grocery stores in slovak countryside in context of food deserts. Acta Univ Agric Silvic Mendelianae Brun. 2015;63(5):1633-8. https://doi.org/10.11118/actaun201563051633
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Copyright (c) 2025 Walter Soares Borges Neto, Kellen Cristine Silva, Aline Siqueira Fogal Vegi, Sônia Lopes Pinto
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