0088/2024 - CLASSIFICAÇÃO DE ESTABELECIMENTOS COMERCIAIS DE ALIMENTOS: COMPARAÇÃO ENTRE MÉTODOS
CLASSIFICATION OF COMMERCIAL FOOD ESTABLISHMENTS: COMPARISON BETWEEN METHODS
Autor:
• Nayhanne Gomes Cordeiro - Cordeiro, N.G. - <nayhannegomes@gmail.com>ORCID: https://orcid.org/0000-0002-1110-8944
Coautor(es):
• Larissa Loures Mendes - Mendes, L.L - <larissa.mendesloures@gmail.com>ORCID: 0000-0002-0031-3862
• Mariana Zogbi Jardim - Jardim, M. Z. - <zogbij@gmail.com>
ORCID: https://orcid.org/0000-0003-3740-4183
• Gabriela Gomes de Paiva - de Paiva, G. G. - <gabrielagpaiva@hotmail.com>
ORCID: https://orcid.org/0000-0002-5811-6415
• Fernanda Cristina Sguizzato Ribeiro - Ribeiro, F. C. S. - <fernandazzato@gmail.com>
ORCID: https://orcid.org/0009-0006-3545-1778
• Gabriela Moreira Rabelo Vieira - Vieira, G. M. R. - <gabimrvieira08@gmail.com>
• Bruna Vieira de Lima Costa - Costa, B.V.L - <brunavlcosta@gmail.com>
ORCID: https://orcid.org/0000-0003-3552-7729
Resumo:
Objetivo: comparar a classificação dos estabelecimentos comerciais de alimentos obtida pelo índice de acesso a alimentos em estabelecimentos de comercialização para consumo no domicílio (HFSI) com a classificação de aquisição de alimentos preconizada pelo estudo técnico “Mapeamento dos Desertos Alimentares no Brasil”. Método: investigou os estabelecimentos comerciais de alimentos presentes no ambiente alimentar (buffer circular) das áreas com e sem Equipamentos Públicos de Segurança Alimentar e Nutricional (EPSAN) de Belo Horizonte. Realizada auditoria in loco para avaliação do HFSI, que foi organizado em tercil para classificação do estabelecimento. Realizada comparação entre as classificações dos estabelecimentos observada pelo HFSI e proposta pelo estudo técnico. Resultados: Mercearias, padarias/confeitarias foram classificadas como estabelecimentos de aquisição de alimentos ultraprocessados pelo HFSI enquanto o estudo técnico os define como estabelecimentos mistos. Conclusão: Observada diferença na classificação dos estabelecimentos comerciais de alimentos segundo HFSI e o estudo técnico, o que pode comprometer as associações do ambiente alimentar comunitário em estudos com desfechos de nutrição e saúde.Palavras-chave:
Acesso a Alimentos Saudáveis; Alimentação no Contexto Urbano; AlimentoAbstract:
Objective: to compare the classification of commercial food establishments obtained by the index of access to food in establishments sold for consumption at home (HFSI) with the classification of food acquisition recommended by the technical study “Mapping of Food Deserts in Brazil”. Method: investigated commercial food establishments present in the food environment (circular buffer) of areas with and without Public Food and Nutritional Safety Equipment (EPSAN) in Belo Horizonte. An on-site audit was carried out to evaluate the HFSI, which was organized into tertiles to classify the establishment. Comparison was made between the classifications of establishments observed by HFSI and those proposed by the technical study. Results: Grocery stores, bakeries/confectionery shops were classified as ultra-processed food purchasing establishments by the HFSI while the technical study defines them as mixed establishments. Conclusion: There was a difference in the classification of commercial food establishments according to HFSI and technical study, which may compromise the associations of the community food environment in studies with nutrition and health outcomes.Keywords:
Access to Healthy Food; Feeding in the Urban Context; FoodConteúdo:
Acessar Revista no ScieloOutros idiomas:
CLASSIFICATION OF COMMERCIAL FOOD ESTABLISHMENTS: COMPARISON BETWEEN METHODS
Resumo (abstract):
Objective: to compare the classification of commercial food establishments obtained by the index of access to food in establishments sold for consumption at home (HFSI) with the classification of food acquisition recommended by the technical study “Mapping of Food Deserts in Brazil”. Method: investigated commercial food establishments present in the food environment (circular buffer) of areas with and without Public Food and Nutritional Safety Equipment (EPSAN) in Belo Horizonte. An on-site audit was carried out to evaluate the HFSI, which was organized into tertiles to classify the establishment. Comparison was made between the classifications of establishments observed by HFSI and those proposed by the technical study. Results: Grocery stores, bakeries/confectionery shops were classified as ultra-processed food purchasing establishments by the HFSI while the technical study defines them as mixed establishments. Conclusion: There was a difference in the classification of commercial food establishments according to HFSI and technical study, which may compromise the associations of the community food environment in studies with nutrition and health outcomes.Palavras-chave (keywords):
Access to Healthy Food; Feeding in the Urban Context; FoodLer versão inglês (english version)
Conteúdo (article):
CLASSIFICATION OF COMMERCIAL FOOD ESTABLISHMENTS: COMPARISON BETWEEN METHODSResumo:
Objetivo: comparar a classificação dos estabelecimentos comerciais de alimentos obtida pelo índice de acesso a alimentos em estabelecimentos de comercialização para consumo no domicílio (HFSI) com a classificação de aquisição de alimentos preconizada pelo estudo técnico “Mapeamento dos Desertos Alimentares no Brasil”. Método: investigou os estabelecimentos comerciais de alimentos presentes no ambiente alimentar (buffer circular) das áreas com e sem Equipamentos Públicos de Segurança Alimentar e Nutricional (EPSAN) de Belo Horizonte. Realizada auditoria in loco para avaliação do HFSI, que foi organizado em tercil para classificação do estabelecimento. Realizada comparação entre as classificações dos estabelecimentos observada pelo HFSI e proposta pelo estudo técnico. Resultados: Mercearias, padarias/confeitarias foram classificadas como estabelecimentos de aquisição de alimentos ultraprocessados pelo HFSI enquanto o estudo técnico os define como estabelecimentos mistos. Conclusão: Observada diferença na classificação dos estabelecimentos comerciais de alimentos segundo HFSI e o estudo técnico, o que pode comprometer as associações do ambiente alimentar comunitário em estudos com desfechos de nutrição e saúde.
Palavras-chave: Acesso a Alimentos Saudáveis; Alimentação no Contexto Urbano; Alimento
Abstract:
Objective: to compare the classification of commercial food establishments obtained by the index of access to food in establishments sold for consumption at home (HFSI) with the classification of food acquisition recommended by the technical study “Mapping of Food Deserts in Brazil”. Method: investigated commercial food establishments present in the food environment (circular buffer) of areas with and without Public Food and Nutritional Safety Equipment (EPSAN) in Belo Horizonte. An on-site audit was carried out to evaluate the HFSI, which was organized into tertiles to classify the establishment. Comparison was made between the classifications of establishments observed by HFSI and those proposed by the technical study. Results: Grocery stores, bakeries/confectionery shops were classified as ultra-processed food purchasing establishments by the HFSI while the technical study defines them as mixed establishments. Conclusion: There was a difference in the classification of commercial food establishments according to HFSI and technical study, which may compromise the associations of the community food environment in studies with nutrition and health outcomes.
Keywords: Access to Healthy Food; Feeding in the Urban Context; Food
INTRODUCTION
The food environment is defined as the opportunities and conditions present in physical, economic, political, and sociocultural environments that influence food choices and the nutritional status of individuals. It is the consumer\'s interaction with the food system and encompasses the availability, accessibility, convenience, promotion, quality, and sustainability of food 1,2.
Among the different perspectives, the food environment can be investigated at the level of the community, in which the distribution of commercial food establishments is observed (density, type, location, proximity, and convenience), and at the level of the consumer, in which a set of indispensable elements of the food is evaluated, which can influence the purchase, such as quality, price, promotion, availability, and variety 3, 4, 5, 6.
Different approaches can be used to define the types of food outlets, including government coding systems 7, 8, food chain trade names, economic activity classification codes 9, or the researcher\'s exclusive approach (based on audits or marketing dynamics such as the predominance of purchased food) 4, 10, 11. In this way, the diversity of methodologies for assessing the food environment can lead to divergent and inconsistent definitions and classifications of commercial food establishments 12, 13, 14.
It should also be noted that the availability of healthy and unhealthy foods varies considerably according to the type of food outlet and location - countries, regions, cities 15, 14. One example is supermarkets, which in high-income countries are identified as healthy commercial establishments due to the greater availability of nutritious foods 16, 17, 18, 19, 20, 21. However, in middle- and low-income countries supermarkets have made more ultra-processed foods available 10, 22, 23.
In Brazil, supermarkets are classified as healthy establishments (greater access to in natura foods) in all the states of the North and Midwest regions 7, and in the states of the South region they are considered mixed, i.e., with similar access to healthy and unhealthy foods 7 according to the technical study “Mapping Food Deserts in Brazil”. This study serves as a reference for classifying commercial food establishments in various other food environment studies carried out in the country 24, 25, 7. However, depending on the social, cultural, economic, political, and regulatory context of the location and considering that the same type of establishment offers different foods (availability, quality, variety), it is hypothesized that this classification is generalized and does not reveal the real food context 26, 27. Barriers and facilitators to acquiring healthy food differ according to the type of commercial establishment 11, which highlights the need for a more detailed analysis beyond purchasing patterns. This study aimed, therefore, to compare the classification of food outlets in a Brazilian capital city, obtained by the index of access to food in outlets for consumption at home, with the classification of food acquisition recommended by the technical study “Mapping Food Deserts in Brazil”. The comparison between the two classification methodologies will make it possible to understand the importance of evaluating the community food environment in conjunction with aspects related to the consumer environment to adequately describe the food context.
METHODS
This is a cross-sectional study of commercial establishments in the city of Belo Horizonte-MG (Brazil), approved by the Research Ethics Committee (CAAE 84707818.3.0000.5149). Belo Horizonte is the capital of the state of Minas Gerais, located in the southeast of Brazil, with an estimated population of 2.5 million in 2021. The municipality\'s Municipal Human Development Index (MHDI), constituted of education, longevity, and income indicators, was 0.810 in 2010 (IBGE, as in Portuguese).
The units of analysis were the commercial food establishments in the food environment of areas with and without Public Food and Nutrition Security Equipment (EPSAN, as in Portuguese), including EPSAN, so that the administrative regions were represented by sectors with and without EPSAN. The areas with EPSANs were selected based on the equipment installed and operating in Belo Horizonte in May 2019, which sold food for consumption at home. The areas without EPSANs were selected from census tracts that did not have an EPSAN and were in the same administrative region as the corresponding EPSAN, respecting a radius of 1000m from the equipment.
The food environment of the areas with and without EPSAN was defined from a circular buffer with a radius of 500m around the EPSAN and the centroid of the selected census tract, respectively. The 500m radius was adopted because it is a measure of short distance 28, considered easily accessible 29, 30, and used in studies correlating the built environment and the presence or absence of establishments within this radius 31.
The areas were selected based on simple random sampling, through consecutive draws, stratified by the nine administrative regions. Due to the greater concentration of EPSAN and commercial establishments in the central area of the city, to guarantee the proportionality of the sample, two facilities, and two census sectors were selected in the Central-South region, totaling twenty units (ten areas with EPSAN and ten areas without EPSAN). Further information on the sampling process can be found in Cordeiro et al., 2022; Jardim et al., 2023; Paiva et al., 2023 32, 33, 34.
Data was collected using a structured questionnaire 35 from August to October 2019, from Monday to Friday, between 9 am and 3 pm, to avoid the time of day interfering with food variability.
To rate access to food in commercial establishments the Healthy Food Store Index (HFSI) was used. This index includes variables for the availability, variety, and advertising/promotion of healthy foods (fruit and vegetables) and unhealthy foods (ultra-processed foods - sugary drinks, corn snacks, and chocolate cookies). This index has been validated for the Brazilian context and ranges from 0 to 16 (the higher the score, the better the availability of healthy foods) (Chart 1).
Insert Chart 1
Concerning the HFSI value resulting from the on-site assessment of food stores, it was organized into tertiles to classify access to and acquisition of the store. Commercial food establishments in the 1st tertile (lower score ranging from 0 to 1; lower access to healthy foods and higher access to unhealthy foods) were defined as establishments purchasing ultra-processed foods. Food stores in the 2nd tertile (median score ranging from 2 to 11; similar access to healthy and unhealthy foods) were classified as mixed stores. Food stores in the 3rd tertile (highest score ranging from 12 to 16; greater access to healthy foods and less access to unhealthy foods) were defined as stores for purchasing in natura foods.
In terms of type, the establishments identified on site were classified as organic fairs, open-air fairs, direct from the farm, fruit and vegetable markets, hypermarkets, local or neighborhood markets, bakeries, municipal greengrocers, private chain greengrocers, convenience stores, supermarkets and atacarejos (wholesale and retail food sales), large chain supermarkets 35, 36. To make it possible to compare the classification of the establishments in this study with that in the “Technical Study Mapping Food Deserts in Brazil” 7, the establishments were reclassified into the following categories: fruit and vegetable stores, grocery stores, bakeries and confectioneries, supermarkets, hypermarkets and convenience stores 7.
This classification was compared with the specification recommended by the Interministerial Chamber for Food and Nutritional Security, through the Technical Study Mapping Food Deserts7. To identify the establishments, this technical study used the Annual Social Information Report (RAIS), which is a socioeconomic information report requested annually by the Brazilian Ministry of Labor and Employment from legal entities and other employers. For identifying street markets, it used the municipality\'s own mapping. The RAIS database includes the National Classification of Economic Activities (CNAE)9 for each establishment, which allows the definition of the type of activity carried out. The categorization into "In natura food purchasing establishments," "Mixed establishments," and "Ultra-processed food purchasing establishments" was made according to the NOVA classification of foods (based on the extent and purpose of food processing: in natura or minimally processed, processed, and ultra-processed)22 that were purchased from the commercial establishments identified by the Household Budget Survey data. According to the technical study, for the state of Minas Gerais, convenience stores are defined as ultra-processed food purchasing establishments, while grocery stores, bakeries/pastry shops, supermarkets, and hypermarkets are classified as mixed establishments, and fruit and vegetable stores are classified as in natura food purchasing establishments 7.
The description of the establishments took into account the absolute and relative participation of each type of establishment in the total number of identified establishments. The evaluation of the classification of establishments according to the HFSI was compared to the classification proposed by the Interministerial Chamber for Food and Nutritional Security. Statistical analyses were conducted using Stata software, version 14.2, and the maps were produced using QGIS 2.10.1 and 2.18.0, and ArcGIS 10.5 software.
RESULTS
A total of 253 food retail establishments for home consumption were identified. Of these, 18 (5.0%) were outside the unit of analysis and 87 (24.3%) did not agree to participate in the survey. Thus, 148 (41.3%) establishments took part in the study. About the type of commercial establishment, the majority were fruit and vegetable stores (39.9%), followed by bakeries/confectioners (23.6%) and grocery stores (21.6%) (Table 1).
The average Healthy Food Store Index (HFSI) was 7 (ranging from 0 to 16). Fruit and vegetable shops had higher indices (HFSI=13; ranging from 7 to 16) when compared to other types of stores. The lowest access rates were found in convenience stores (HFSI=1; 0-2) and bakeries/confections (HFSI=1; 0-9). According to the classification, fruit and vegetable stores were the only establishments defined as selling in natura foods. Supermarkets and hypermarkets were classified as mixed and grocery stores, bakeries, and convenience stores as ultra-processed food stores (Table 1).
Insert Table 1
A comparison of the classification of commercial food establishments according to the result obtained by the HFSI and the proposal of the Technical Study Mapping Food Deserts in Brazil is shown in Table 2. There was a discrepancy between the classifications of grocery stores and bakeries. These establishments were classified as purchasing ultra-processed foods, according to the access assessment index (HFSI). And, with the classification of the Technical Study Mapping Food Deserts in Brazil, these establishments were defined as mixed. Figure 1 shows the spatial distribution of commercial food establishments categorized according to the HFSI classification and according to the Technical Study “Mapping Food Deserts in Brazil.”
Insert Table 2
Insert Figure 1
DISCUSSION
This study found a discrepancy in the classification of commercial food establishments according to the HFSI and the Technical Study “Mapping Food Deserts in Brazil”. Grocery stores and bakeries were classified as ultra-processed food stores by the HFSI, while the Technical Study “Mapping Food Deserts in Brazil” defines them as mixed stores. Establishments such as supermarkets and hypermarkets remained as mixed establishments in both classifications, convenience stores remained as ultra-processed food purchasing establishments and fruit and vegetable stores remained as in natura food purchasing establishments.
Bakeries usually offer food products, mostly ultra-processed, in addition to traditional bakery products 11. The availability of ultra-processed foods is also common in medium-sized stores such as grocery stores and neighborhood markets, which in addition to offering them use different types of advertising to encourage the purchase of products with low nutritional value 37, 38. The reclassification of these establishments increased the prevalence of establishments purchasing ultra-processed foods in the areas analyzed, revealing a different scenario, only evidenced by the on-site audit.
The use of pre-existing data sets is common in studies of the food environment 10, 39, 24 due to their convenience, efficiency, and suitability for initial exploratory studies on large scales, such as the Technical Study “Mapping Food Deserts in Brazil”. However, physical access to a type of commercial establishment, when these are classified by the kind of food it sells (for example: bakery), does not guarantee that there will be the same availability, variety, quality, and price of food in other commercial establishments of the same type 27, 40, 41, 42.
The categorization of commercial establishments based on type is widespread and represents a methodological limitation that limits the credibility of food environment studies, since the identification of commercial establishments according to the type or predominance of the food they sell, without an evaluation of key elements of the food available for sale, can generate erroneous conclusions about the food environment 12, 13, 42.
It is also necessary to reconsider the classification of mixed commercial establishments, as evidence shows that exposing consumers to a simultaneous offering of in natura, minimally processed, and ultra-processed foods usually leads to the purchase and consumption of unplanned foods, which are generally ultra-processed 43, 10. It is known that supermarkets and hypermarkets, classified as mixed establishments, offer price promotions and convenience features that lead to greater consumption of ultra-processed foods 10. In this sense, more studies into consumer behavior are needed.
It is worth noting that efforts to standardize a taxonomy of commercial establishments can facilitate their use by researchers and public policymakers 14. The methods used to define the types of commercial food establishments vary and most authors do not fully describe the methods used 4, 10. Therefore, researchers need to address common methodological issues and provide clear, theoretically grounded operational definitions of the types of food outlets under investigation 10.
It should be noted that the use of information on the types of stores from the Technical Mapping Study may lead to conclusions that differ from the actual food context. Therefore, efforts to understand and explore the potential influence of the food environment on food availability in a given population need to be investigated locally 44. Empirical research into the types of stores is recommended 14 and, above all, on-site investigation of the food environment through audits with the application of indices or numerical scores, since the availability, quality, variety, and cost of available food can be identified 27, 42. On-site investigations tend to be more reliable and allow for a better understanding and monitoring of the food environment in different scenarios 13.
Some limitations of this study need to be clarified. The consumer food environment data (availability, variety, and promotion) that comprised the index of access to food in retail outlets were assessed in combination due to the cross-sectional study design. Therefore, the temporal variability in the availability and variety of food could not be measured. However, considering that the availability of fresh produce (fruit, vegetables, meat, and dairy products) tends to be consistent over two weeks, a single observation is sufficient to reflect the commercial activities in the selected establishments 17.
CONCLUSION
The differences found in the classification of grocery stores, bakeries/confectioneries according to the HFSI classification compared to the classification of the Technical Study Mapping Food Deserts in Brazil may compromise the associations of the community food environment in studies with nutrition and health outcomes. The HFSI identified grocery stores and bakeries/confections as establishments that purchase ultra-processed foods, while the Technical Study Mapping Food Deserts in Brazil defines them as mixed establishments. It is suggested that the classification of commercial food establishments take place through studies that investigate the community food environment concomitantly with aspects related to the consumer environment, such as the availability of food on the spot, the acquisition of food, price, and consumer behavior, to advance the debate on the potential associations of these commercial food establishments with the outcomes evaluated.
REFERENCES
1. High Level Panel of Experts on Food Security and Nutrition (HLPE). Nutrition and food systems. A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security Rome: HLPE; 2017.
2. Downs, S.M.; 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, 532. https://doi.org/10.3390/foods9040532
3. Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: concepts and measures. Am J Health Promot. 2005 May-Jun;19(5):330-3, ii. doi: 10.4278/0890-1171-19.5.330. PMID: 15895534.
4. Charreire H, Casey R, Salze P, Simon C, Chaix B, Banos A, Badariotti D, Weber C, Oppert JM. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr. 2010 Nov;13(11):1773-85. doi: 10.1017/S1368980010000753. Epub 2010 Apr 21. PMID: 20409354.
5. Swinburn B, Sacks G, Vandevijvere S, Kumanyika S, Lobstein T, Neal B, Barquera S, Friel S, Hawkes C, Kelly B, L\'abbé M, Lee A, Ma J, Macmullan J, Mohan S, Monteiro C, Rayner M, Sanders D, Snowdon W, Walker C; INFORMAS. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): overview and key principles. Obes Rev. 2013 Oct;14 Suppl 1:1-12. doi: 10.1111/obr.12087. PMID: 24074206.
6. Turner G, Green R, Alae-Carew C, Dangour AD. The association of dimensions of fruit and vegetable access in the retail food environment with consumption; a systematic review. Glob Food Sec. 2021 Jun;29:100528. doi: 10.1016/j.gfs.2021.100528. PMID: 34164256; PMCID: PMC8202327.
7. Brasil. Mapeamento dos desertos Alimentares no Brasil. Ministério da Cid [Internet]. 2018; 56. Available at: http://aplicacoes.mds.gov.br/sagirmps/noticias/arquivos/files/Estudo_tecnico_mapeamento_desertos_alimentares.pdf
8. IBGE. Pesquisa de Orçamentos Familiares: 2008-2009. Análise do Consumo Alimentar Pessoal no Brasil. [S.l: s.n.], 2011. Disponível em:
9. IBGE. Comissão Nacional de Classificação (CONCLA). Classificação Nacional de Atividades Econômicas (CNAE). 2015. Disponível em: https://concla.ibge.gov.br/classificacoes/download-concla.html.
10. Machado PP, Claro RM, Canella DS, Sarti FM, Levy RB. Price and convenience: The influence of supermarkets on consumption of ultra-processed foods and beverages in Brazil. Appetite. 2017 Sep 1;116:381-388. doi: 10.1016/j.appet.2017.05.027. Epub 2017 May 17. PMID: 28526478.
11. Borges CA, Gabe KT, Canella DS, Jaime PC. Characterization of barriers and facilitators for adequate and healthy eating in the consumer’s food environment. Cad Saude Publica. 2021;37(Suppl 1):1–16.
12. Bivoltsis, Alexia, Hayley Christian, Gina L. Ambrosini, Paula Hooper, Claire E. Pulker, Lukar Thornton, e Gina S. A. Trapp. “The Community Food Environment and Its Association with Diet, Health or Weight Status in Australia: A Systematic Review with Recommendations for Future Research”. Health Promotion Journal of Australia 34, nº 2 (2023): 328–65. https://doi.org/10.1002/hpja.679
13. Costa BV de L, Freitas PP de, Menezes MC de, Guimarães LMF, Ferreira L de F, Alves M dos SC, et al.. Ambiente alimentar: validação de método de mensuração e caracterização em território com o Programa Academia da Saúde. Cad Saúde Pública [Internet]. 2018;34(9):e00168817. Available from: https://doi.org/10.1590/0102-311X00168817
14. Menezes MC, Pereira de Castro Junior PC, Kroker-Lobos MF, Ferrer CP, Tumas N, de Castro IRR, et al. Is it appropriate to import existing food retail environment definitions for the Latin American context? A systematic search and expert knowledge. Cities & Health. 2 de janeiro de 2023;7(1):46–58.
15. Swinburn BA, Kraak VI, Allender S, Atkins VJ, Baker PI, Bogard JR, Brinsden H, Calvillo A, De Schutter O, Devarajan R, Ezzati M, Friel S, Goenka S, Hammond RA, Hastings G, Hawkes C, Herrero M, Hovmand PS, Howden M, Jaacks LM, Kapetanaki AB, Kasman M, Kuhnlein HV, Kumanyika SK, Larijani B, Lobstein T, Long MW, Matsudo VKR, Mills SDH, Morgan G, Morshed A, Nece PM, Pan A, Patterson DW, Sacks G, Shekar M, Simmons GL, Smit W, Tootee A, Vandevijvere S, Waterlander WE, Wolfenden L, Dietz WH. The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report. Lancet. 2019 Feb 23;393(10173):791-846. doi: 10.1016/S0140-6736(18)32822-8. Epub 2019 Jan 27. Erratum in: Lancet. 2019 Feb 23;393(10173):746. PMID: 30700377.
16. Hawkes, C. (2008), Implicações dietéticas do desenvolvimento de supermercados: uma perspectiva global. Revisão da Política de Desenvolvimento, 26: 657-692. https://doi.org/10.1111/j.1467-7679.2008.00428.x
17. Zenk SN, Lachance LL, Schulz AJ, Mentz G, Kannan S, Ridella W. Neighborhood retail food environment and fruit and vegetable intake in a multiethnic urban population. Am J Health Promot. 2009 Mar-Apr;23(4):255-64. doi: 10.4278/ajhp.071204127. PMID: 19288847; PMCID: PMC3305995.
18. Zhou S, Cheng Y, Cheng L, Wang D, Li Q, Liu Z, Wang HJ. Association between convenience stores near schools and obesity among school-aged children in Beijing, China. BMC Public Health. 2020 Jan 31;20(1):150. doi: 10.1186/s12889-020-8257-0. PMID: 32005214; PMCID: PMC6995088.
19. Smagge BA, van der Velde LA, Kiefte-de Jong JC. The Food Environment Around Primary Schools in a Diverse Urban Area in the Netherlands: Linking Fast-Food Density and Proximity to Neighbourhood Disadvantage and Childhood Overweight Prevalence. Front Public Health. 2022 Apr 6;10:838355. doi: 10.3389/fpubh.2022.838355. PMID: 35462826; PMCID: PMC9019046.
20. Ohri-Vachaspati, Punam, Robin S. DeWeese, Francesco Acciai, Derek DeLia, David Tulloch, Daoqin Tong, Cori Lorts, e Michael J. Yedidia. “Healthy Food Access in Low-Income High-Minority Communities: A Longitudinal Assessment—2009–2017”. International Journal of Environmental Research and Public Health 16, nº 13 (julho de 2019). https://doi.org/10.3390/ijerph16132354.
21. Bivoltsis, A, Christian, H, Ambrosini, GL, Hooper, P, Pulker, CE, Thornton, L, et al. The community food environment and its association with diet, health or weight status in Australia: A systematic review with recommendations for future research. Health Promot J Austral. 2023; 34(2): 328–365. https://doi.org/10.1002/hpja.679
22. Monteiro, C., Cannon, G., Moubarac, J., Levy, R., Louzada, M., & Jaime, P. (2018). A Década da Nutrição da ONU, a classificação alimentar NOVA e os problemas do ultraprocessamento. Nutrição em Saúde Pública, 21 (1), 5-17. doi:10.1017/S1368980017000234
23. Leite MA, Assim MM, Carmo ASC, Costa BVL, Claro RM, Castro IR, Cardoso LOC, Netto MP, Mendes LL. (2019) Is Neighbourhood Social Deprivation in a Brazilian City Associated with the Availability, Variety, Quality and Price of Food in Supermarkets? Public Health Nutrition 22, (18), 3395–3404. https://doi.org/10.1017/S1368980019002386.
24. Grilo, Mariana Fagundes, Menezes, Caroline de e Duran, Ana Clara Mapeamento de pântanos alimentares em Campinas, Brasil. Ciência & Saúde Coletiva [online]. v. 27, n. 7 [Acessado 2 Setembro 2023] , pp. 2717-2728. Disponível em:
26. Jaime PC, Duran AC, Sarti FM, Lock K. Investigating environmental determinants of diet, physical activity, and overweight among adults in Sao Paulo, Brazil. J Urban Health. 2011 Jun;88(3):567-81. doi: 10.1007/s11524-010-9537-2. PMID: 21327549; PMCID: PMC3126927.
27. Lucan SC. Concerning limitations of food-environment research: a narrative review and commentary framed around obesity and diet-related diseases in youth. J Acad Nutr Diet. 2015 Feb;115(2):205-212. doi: 10.1016/j.jand.2014.08.019. Epub 2014 Oct 14. PMID: 25443565.
28. Hattori A, An R, Sturm R. Neighborhood Food Outlets, Diet, and Obesity Among California Adults, 2007 and 2009. Prev Chronic Dis [Internet]. 14 de março de 2013;10. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600873/
29. Donkin AJ, Dowler EA, Stevenson SJ, Turner SA. Mapping access to food in a deprived area: the development of price and availability indices. Public Health Nutrition. março de 2000;3(1):31–8.
30. Furey S, Strugnell C, McIlveen MsH. An investigation of the potential existence of ``food deserts’’ in rural and urban areas of Northern Ireland. Agriculture and Human Values. 1o de dezembro de 2001;18(4):447–57.
31. Nakamura H, Nakamura M, Okada E, Ojima T, Kondo K. Association of food access and neighbor relationships with diet and underweight among community-dwelling older Japanese. J Epidemiol. 17 de junho de 2017;27(11):546–51
32. Cordeiro NG, Mendes LL, Jardim MZ, Claro RF, Pessoa MC, Granado FS, Andrade ACS, Costa BVL (2022): Do Food and Nutrition Public Establishments Influence Availability to Healthy Food in Neighborhood?, Journal of Hunger & Environmental Nutrition, DOI: 10.1080/19320248.2022.2155095.
33. Jardim M Z, Mendes LL, Cordeiro NG, Claro RF, Pessoa MC, Andrade ACS, Costa BVL. Food and nutrition public establishments: assessment of the food environment. Ciência & Saúde Coletiva, 28(11):3311-3320, 2023. DOI: 10.1590/1413-812320232811.17002022
34. Paiva GG, Claro RM, Costa BVL (2023) Availability and price of fruits and vegetables in the surroundings of food and nutrition public establishments. PLoS ONE 18(11): e0294473. https://doi.org/10.1371/journal.pone.0294473
35. Duran AC, Diez Roux AV, do Rosario DO Latorre M, Jaime PC. Neighborhood socioeconomic characteristics and differences in the availability of healthy food stores and restaurants in Sao Paulo, Brazil. Health Place. setembro de 2013;23:39–47.
36. Comissão Nacional de Classificação (Brazil), Instituto Brasileiro de Geografia e Estatística, organizadores. Classificação Nacional de Atividades Econômicas--CNAE: versão 2.0. Rio de Janeiro: IBGE; 2007. 425 p
37. Elorriaga N, Moyano DL, López MV, Cavallo AS, Gutierrez L, Panaggio CB, Irazola V. Urban Retail Food Environments: Relative Availability and Prominence of Exhibition of Healthy vs. Unhealthy Foods at Supermarkets in Buenos Aires, Argentina. Int J Environ Res Public Health. 2021 Jan 22;18(3):944. doi: 10.3390/ijerph18030944. PMID: 33499044; PMCID: PMC7908167.
38. Batista, Carolina Hatsuko Kikuta, Leite, Fernanda Helena Marrocos e Borges, Camila Aparecida. Associação entre padrão de publicidade e alimento ultraprocessado em pequenos mercados. Ciência & Saúde Coletiva [online]. 2022, v. 27, n. 7 [Acessado 7 Setembro 2023], pp. 2667-2678. Disponível em:
39. Fortes MF, Borges CA, Miranda WC de, Jaime PC. Mapeando as desigualdades socioeconômicas na distribuição do comércio varejista local. Segur. Aliment. Nutr. [Internet]. 17º de outubro de 2018 [citado 15º de setembro de 2023];25(3):45-58. Disponível em: https://periodicos.sbu.unicamp.br/ojs/index.php/san/article/view/8651966
40. Block JP, Subramanian SV. Moving Beyond "Food Deserts": Reorienting United States Policies to Reduce Disparities in Diet Quality. PLoS Med. 2015 Dec 8;12(12):e1001914. doi: 10.1371/journal.pmed.1001914. PMID: 26645285; PMCID: PMC4672916.
41. Spires M, Berggreen-Clausen A, Kasujja FX, Delobelle P, Puoane T, Sanders D, Daivadanam M. Snapshots of Urban and Rural Food Environments: EPOCH-Based Mapping in a High-, Middle-, and Low-Income Country from a Non-Communicable Disease Perspective. Nutrients. 2020 Feb 14;12(2):484. doi: 10.3390/nu12020484. PMID: 32075027; PMCID: PMC7071357.
42. Backes, V., Costa, J. S. D. da ., Bairros, F. S. de ., Cafruni, C. B., & Olinto, M. T. A.. (2021). Ambiente alimentar em São Leopoldo, Rio Grande do Sul, Brasil: associação com variáveis sociodemográficas da vizinhança. Ciência & Saúde Coletiva, 26(5), 1965–1976. https://doi.org/10.1590/1413-81232021265.15972019.
43. Ghosh-Dastidar B, Cohen D, Hunter G, Zenk SN, Huang C, Beckman R, Dubowitz T. Distance to store, food prices, and obesity in urban food deserts. Am J Prev Med. 2014 Nov;47(5):587-95. doi: 10.1016/j.amepre.2014.07.005. Epub 2014 Sep 10. PMID: 25217097; PMCID: PMC4205193.
44. Hill, J.L., Chau, C., Luebbering, C.R. et al. Does availability of physical activity and food outlets differ by race and income? Findings from an enumeration study in a health disparate region. Int J Behav Nutr Phys Act 9, 105 (2012). https://doi.org/10.1186/1479-5868-9-105