Geospatial approach to study the food environment according to the DASH diet guidelines, an Argentinian experience
DOI:
https://doi.org/10.22267/rus.242603.336Palavras-chave:
Alimentação, DASH, Análise espacial, Sistemas de informação geográfica, Epidemiologia, Saúde públicaResumo
Introdução: As características do ambiente alimentar determinam a escolha dos alimentos. Objetivo: Desenhar e implementar uma metodologia para explorar as características do ambiente alimentar em um bairro central da cidade de Córdoba, Argentina, com base na disponibilidade de empresas e lojas de alimentos de acordo com as recomendações da dieta DASH (Dietary Approaches to Stop Hypertension). Materiais e métodos: Foram pesquisados 223 estabelecimentos comerciais para determinar o tipo de estabelecimento e a disponibilidade de alimentos com base nas abordagens citadas e georreferenciados com base em coordenadas extraídas da plataforma Google Earth. As empresas foram classificadas através da construção de uma variável quantitativa contínua que resume as informações sobre as vendas de produtos em cada localidade (DASH Score). O mapeamento temático e a construção do Score foram realizados com o software Qgis 3.22. Resultados: Observou-se grande predominância de quiosques, padarias e lanchonetes (59,5%) e os comércios que comercializam apenas alimentos in natura representaram 17,4% do total. Os estabelecimentos considerados insalubres localizavam-se mais ao norte do bairro. Conclusões: A abordagem proposta contribui para o estudo dos ambientes alimentares como ferramenta de prevenção de doenças não transmissíveis e promoção da saúde.
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Referências
Galante M, Konfino J, Ondarsuhu D, Goldberg L, O’Donnell V, Begue C, et al. Principales resultados de la tercera Encuesta Nacional de Factores de Riesgo de enfermedades no transmisibles en Argentina. Rev Argent Salud Pública [Internet]. 2015; 6(24):22-29. Available from: https://www.rasp.msal.gov.ar/index.php/rasp/article/view/214
Secretaría de Gobierno de Salud. 4ta Encuesta Nacional de Factores de Riesgo: Principales Resultados. Buenos Aires (ARG); 2019. Available from: https://new.globalphysicalactivityobservatory.com/new%20anexos/ARGENTINA/0000001444cnt-4ta-encuesta-nacional-factores-riesgo_2019_principales-resultados.pdf
Troncoso-Pantoja C, Monsalve-Reyes C, Alarcón-Riveros MA. Ambientes alimentarios y su rol en la seguridad alimentaria y la malnutrición por exceso. Medisur [Internet]. 2022; 20(6):1200-1210. Available from: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1727-897X2022000601200&lng=es
Gaglioti AH, Xu J, Rollins L, Baltrus P, O'Connell LK, Cooper DL, et al. Neighborhood environmental health and premature death from cardiovascular disease. Prev Chronic Dis [Internet]. 2018; 15:170220. DOI: 10.5888/pcd15.170220
Mackenbach JD, Nelissen KGM, Dijkstra SC, Poelman MP, Daams JG, Leijssen JB, et al. A systematic review on socioeconomic differences in the association between the food environment and dietary behaviors. Nutrients [Internet]. 2019; 11(9):2215. DOI: 10.3390/nu11092215
Ly C, Essman M, Zimmer C, Ng SW. Developing an index to estimate the association between the food environment and CVD mortality rates. Health Place [Internet]. 2020; 66:102469. DOI: 10.1016/j.healthplace.2020.102469
Papas MA, Alberg AJ, Ewing R, Helzlsouer KJ, Gary TL, Klassen AC. The built environment and obesity. Epidemiol Rev [Internet]. 2007; 29(1):129-143. DOI: 10.1093/epirev/mxm009
Booth KM, Pinkston MM, Poston WSC. Obesity and the built environment. J Am Diet Assoc [Internet]. 2005; 105(5):110-117. DOI: 10.1016/j.jada.2005.02.045
Granheim SI, Opheim E, Terragni L, Torheim LE, Thurston M. Mapping the digital food environment: a scoping review protocol. BMJ Open [Internet]. 2020; 10(4):e036241. DOI: 10.1136/bmjopen-2019-036241
National Heart, Lung, and Blood Institute (NHLBI). Living with the DASH Eating Plan. 2021. Available from: https://www.nhlbi.nih.gov/education/dash/living-with-dash
De Grande P, Salvia A. Estratificación y desigualdad social (total país), 2010 [Internet]. Observatorio de la deuda social, Argentina; 2021. Available from: https://mapa.poblaciones.org/map/97801
Boito ME, Michelazzo C. Patrimonio, identidad y espectáculo: una aproximación a las tensiones que conforman el espacio barrial de Alberdi, Córdoba, durante la última década. II Jornadas de Sociología de la Universidad Nacional de Cuyo y Pre ALAS Mendoza. Balances y desafíos de una década larga (2001-2015): aportes y debate desde la sociología. Mendoza (ARG): Universidad Nacional del Cuyo; 2015. Available from: http://hdl.handle.net/11086/5953
Instituto Superior de Estudios Pedagógicos [ISEP]. Alberdi, escenario clave para estudiar la ciudad de Córdoba. Ministerio de Educación de la Provincia de Córdoba; 2018. Available from: http://isep-cba.edu.ar/web/2018/09/21/alberdi-escenario-clave-para-estudiar-la-ciudad-de-cordoba
Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: concepts and measures. Am J Health Promot [Internet]. 2005;19(5):330-3. DOI: 10.4278/0890-1171-19.5.330
Getchell WS, Svetkey LP, Appel LJ, Moore TJ, Bray GA, Obarzanek E. Summary of the Dietary Approaches to Stop Hypertension (DASH) Randomized Clinical Trial. Curr Treat Options Cardiovasc Med [Internet]. 1999; 1(4):295-298. DOI: 10.1007/s11936-999-0024-6
Navarro A, Muñoz SE, Lantieri MJ, Fabro EA, Eynard AR. Composition of saturated and unsaturated fatty acids of foods frequently consumed in Argentina. Arch Latinoam Nutr [Internet]. 1997; 47(3):276-281. Available from: https://www.alanrevista.org/ediciones/1997/3/art-15
Zhou B, Perel P, Mensah GA, Ezzati M. Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension. Nat Rev Cardiol [Internet]. 2021; 18(11):785-802. DOI: 10.1038/s41569-021-00559-8
Asociación Argentina de Dietistas y Nutricionistas Dietistas. Nuevas guías alimentarias para la población argentina. 2016. Available from: https://aadynd.org.ar/diaeta/seccion.php?n=60
Ministerio de Salud de Argentina. 2° Encuesta Nacional de Nutrición y Salud. Indicadores priorizados. 2019. Available from: https://bancos.salud.gob.ar/recurso/2deg-encuesta-nacional-de-nutricion-y-salud-indicadores-priorizados
Marchiori GN. Impacto de los lípidos dietarios y séricos sobre biomarcadores inflamatorios y protrombóticos y el desarrollo de aterosclerosis en hipertensión arterial [Tesis doctoral]. Córdoba (ARG): Universidad Nacional de Córdoba; 2021. Available from: https://rdu.unc.edu.ar/bitstream/handle/11086/20667/MARCHIORI%20CC.pdf?sequence=1
Baraquet ML, Del Rosso S, Oberto MG, Defagó MD, Perovic NR. Cardiometabolic risk, biomarkers of low-grade subclinical inflammation and flavonoid intake: a cross-sectional study in Argentina. PharmaNutrition [Internet]. 2022; 20:100297. DOI: 10.1016/j.phanu.2022.100297
Aballay LR. La obesidad en Córdoba: Estudio de su prevalencia e identificación de factores de riesgo [Tesis doctoral]. Córdoba (ARG): Universidad Nacional de Córdoba; 2013. Available from: https://repositoriosdigitales.mincyt.gob.ar/vufind/Record/RDUUNC_819f54ca293f11e2ffcec2cfaa738eeb
García SM, Fantuzzi G, Angelini J, Bourgeois M, Elgart J, Etchegoyen G, et al. Food Intake of an Adult Population in Two Cities in the Province of Buenos Aires: Its Adequacy to Nutritional Recommendations. Actual Nutr [Internet]. 2018; 19(2):38-43. Available from: https://ri.conicet.gov.ar/bitstream/handle/11336/91085/CONICET_Digital_Nro.deb85d31-ba97-4f0d-bcb7-c9f91f248a02_A.pdf?sequence=2
Creel JS, Sharkey JR, McIntosh A, Anding J, Huber JC Jr. Availability of healthier options in traditional and nontraditional rural fast-food outlets. BMC Public Health [Internet]. 2008; 8(1):395. DOI: 10.1186/1471-2458-8-395
Hattori A, An R, Sturm R. Neighborhood food outlets, diet, and obesity among California adults, 2007 and 2009. Prev Chronic Dis [Internet]. 2013; 10:120123. DOI: 10.5888/pcd10.120123
Colozza D, Avendano M. Urbanisation, dietary change and traditional food practices in Indonesia: a longitudinal analysis. Soc Sci Med [Internet]. 2019; 233:103-112. DOI: 10.1016/j.socscimed.2019.06.007
Leone AF, Rigby S, Betterley C, Park S, Kurtz H, Johnson MA, et al. Store type and demographic influence on the availability and price of healthful foods, Leon County, Florida, 2008. Prev Chronic Dis [Internet]. 2011; 8(6):A140. Available from: https://pubmed.ncbi.nlm.nih.gov/22005633
Bilal U, Díez J, Alfayate S, Gullón P, Del Cura I, Escobar F, et al. Population cardiovascular health and urban environments: the Heart Healthy Hoods exploratory study in Madrid, Spain. BMC Med Res Methodol [Internet]. 2016; 16(1):104. DOI: 10.1186/s12874-016-0213-4
Díez J, Conde P, Sandin M, Urtasun M, López R, Carrero JL, et al. Understanding the local food environment: A participatory photovoice project in a low-income area in Madrid, Spain. Health Place [Internet]. 2017; 43:95-103. DOI: 10.1016/j.healthplace.2016.11.012
Beaulac J, Kristjansson E, Cummins S. A systematic review of food deserts, 1966-2007. Prev Chronic Dis [Internet]. 2009; 6(3):A105. Available from: https://pubmed.ncbi.nlm.nih.gov/19527577
Alcocer-García O, Campos-Alanís J. The convenience store format as a mean of proximity of services and supply in urban areas. Quivera [Internet]. 2014; 16(2):63-84. Available from: https://www.redalyc.org/pdf/401/40136960004.pdf
Walker RE, Keane CR, Burke JG. Disparities and access to healthy food in the United States: A review of food deserts literature. Health Place [Internet]. 2010; 16(5):876-884. DOI: 10.1016/j.healthplace.2010.04.013
Hilmers A, Hilmers DC, Dave J. Neighborhood disparities in access to healthy foods and their effects on environmental justice. Am J Public Health [Internet]. 2012; 102(9):1644-1654. DOI: 10.2105/AJPH.2012.300865
Ghosh-Dastidar B, Cohen D, Hunter G, Zenk SN, Huang C, Beckman R, et al. Distance to store, food prices, and obesity in urban food deserts. Am J Prev Med [Internet]. 2014; 47(5):587-595. DOI: 10.1016/j.amepre.2014.07.005
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 [Internet]. 2017; 14(11):1366. DOI: 10.3390/ijerph14111366
Liese AD, Weis KE, Pluto D, Smith E, Lawson A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc [Internet]. 2007; 107(11):1916-1923. DOI: 10.1016/j.jada.2007.08.012
Courtemanche C, Carden A. Supersizing supercenters? The impact of Walmart Supercenters on body mass index and obesity. J Urban Econ [Internet]. 2011; 69(2):165-181. DOI: 10.1016/j.jue.2010.09.005
Trinh H, Dhar B, Simioni M, de Haan S, Thanh Huynh TT, Huynh TV. Supermarkets and household food acquisition patterns in Vietnam in relation to population demographics and socioeconomic strata: insights from public data. Front Sustain Food Syst [Internet]. 2020; 4(15):1-12. DOI: 10.3389/fsufs.2020.00015
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 [Internet]. 2021; 20(1):168. DOI: 10.1186/s12939-021-01501-7
Fagundes Grilo M, de Menezes C, Duran AC. Food swamps in Campinas, Brazil. Cien Saude Colet [Internet]. 2022; 27(7):2717-2728. DOI: 10.1590/1413-81232022277.17772021en
Begué C, Goldberg L, King A, Odonnell V, Piaggio LR, Rolón MI. ¿Cuán disponibles están las opciones saludables?: estudio descriptivo de entornos alimentarios de universidades argentinas. Rev Argent Salud Pública [Internet]. 2019; 10(41):37-45. Available from: https://rasp.msal.gov.ar/index.php/rasp/article/view/105
Elorriaga N, Moyano DL, López MV, Cavallo AS, Gutierrez L, Panaggio CB, et al. 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 [Internet]. 2021; 18(3):944. DOI: 10.3390/ijerph18030944
Bertoni AG, Foy CG, Hunter JC, Quandt SA, Vitolins MZ, Whitt-Glover MC. A multilevel assessment of barriers to adoption of Dietary Approaches to Stop Hypertension (DASH) among African Americans of low socioeconomic status. JHCPU [Internet]. 2011; 22(4):1205-1220. DOI: 10.1353/hpu.2011.0142
Young CM, Batch BC, Svetkey LP. Effect of socioeconomic status on food availability and cost of the Dietary Approaches to Stop Hypertension (DASH) dietary pattern. J Clin Hypertens [Internet]. 2008; 10(8):603-611. DOI: 10.1111/j.1751-7176.2008.08199.x
Instituto Nacional de Estadística y Censos de Argentina. Índices de precios al consumidor (IPC). Ínformes Técnicos vol. 7 no. 264, 2023 [Internet]. Buenos Aires (ARG): INDEC; 2023. Available from: https://www.indec.gob.ar/uploads/informesdeprensa/ipc_12_23EA48BE000C.pdf
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