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Journal of Food Security. 2021, 9(4), 148-159
DOI: 10.12691/JFS-9-4-2
Original Research

Neighborhood Food Insecurity Index to Identify Food Vulnerability and Food Deserts in the United States

Sweta Tiwari1, and Shrinidhi Ambinakudige1

1Department of Geosciences, Mississippi State University, MS, USA

Pub. Date: October 09, 2021
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Sweta Tiwari and Shrinidhi Ambinakudige. Neighborhood Food Insecurity Index to Identify Food Vulnerability and Food Deserts in the United States. Journal of Food Security. 2021; 9(4):148-159. doi: 10.12691/JFS-9-4-2

Abstract

The USDA’s definition of food deserts, which is based on the distance to store and a neighborhood’s income, seems to be inadequate to explain the food security status of a neighborhood. Thus, an exploratory factor analysis (EFA) was conducted to explore the underlying structures behind the 11 measures of a neighborhood's characteristics, which, in turn, describes a neighborhood's food insecurity. The studied neighborhoods were the census tracts in the lower 48 states of the U.S. The EFA systematically grouped the 11 characteristics into two factors (i.e., socioeconomic and demographic) determining neighborhood vulnerability. Both factors suggest that the neighborhoods in the South have a high vulnerability that could influence the number and type of food stores or prospects of new food stores in those neighborhoods. Based on the factor structure revealed by the EFA, the Neighborhood Food Insecurity Index (NFII) was created. The NFII measures the relative food vulnerability of every U.S. census tract affecting its residents' ability to access a healthy food provider. The index indicates that about 43 million (13.14%) people in the U.S. live in neighborhoods with high food vulnerability. The index also shows that regionally, the South had the greatest percentage of populations living in high food-vulnerable neighborhoods followed by the West, Midwest, and Northeast regions.

Keywords

neighborhood food insecurity index, food deserts, vulnerability

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Rhone, A., Ver Ploeg, M., Dicken, C., Williams, R., & Breneman, V., 2017. Low-income and low-supermarket-access census tracts, 2010-2015, USDA, Economic Research Service.
 
[2]  Dutko, P., Ver Ploeg, M., & Farrigan, T., 2012. Characteristics and influential factors of food deserts. ERR-140, U.S. Department of Agriculture, Economic Research Service.
 
[3]  USDA, 2020. Food Security Status of U.S. Households in 2019. https://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/key-statistics-graphics/
 
[4]  Joassart-Marcelli, P., Rossiter, J. S., & Bosco, F. J., 2017. Ethnic markets and community food security in an urban “food desert.” Environment and Planning A 49(7), 1642-1663.
 
[5]  Taylor, D. E., & Ard, K. J., 2015. Food availability and the food desert frame in Detroit: an overview of the city’s food system. Environmental Practice 17(2), 102-133.
 
[6]  Wilde, P., Llobrera, J., & Ver Ploeg, M., 2014. Population density, poverty, and food retail access in the United States: an empirical approach. International Food and Agribusiness Management Review 17, 171-186.
 
[7]  Jiao, J., Moudon, A. V, Ulmer, J., Hurvitz, P. M., & Drewnowski, A., 2012. How to Identify Food Deserts: Measuring Physical and Economic Access to Supermarkets in King County, Washington. American Journal of Public Health 102(10), e32-e39.
 
[8]  Ver Ploeg, M., Dutko, P., & Breneman, V., 2015. Measuring food access and food deserts for policy purposes. Applied Economic Perspectives and Policy 37(2), 205-225.
 
[9]  Hamidi, S., 2020. Urban sprawl and the emergence of food deserts in the USA. Urban Studies, 0042098019841540.
 
[10]  Ma, X., Sharpe, P. A., Bell, B. A., Liu, J., White, K., & Liese, A. D., 2018. Food Acquisition and Shopping Patterns among Residents of Low-Income and Low-Access Communities in South Carolina. Journal of the Academy of Nutrition and Dietetics 118(10), 1844-1854.
 
[11]  Lamb, K. E., Thornton, L. E., Cerin, E., & Ball, K., 2015. Statistical approaches used to assess the equity of access to food outlets: a systematic review. AIMS Public Health 2(3), 358.
 
[12]  Walker, R. E., Keane, C. R., & Burke, J. G., 2010. Disparities and access to healthy food in the United States: A review of food deserts literature. Health & Place 16(5), 876-884.
 
[13]  Hendrickson, D., Smith, C., & Eikenberry, N., 2006. Fruit and vegetable access in four low-income food deserts communities in Minnesota. Agriculture and Human Values 23(3), 371-383.
 
[14]  Mendy, V. L., Vargas, R., Cannon-Smith, G., Payton, M., Enkhmaa, B., & Zhang, L., 2018. Food Insecurity and Cardiovascular Disease Risk Factors among Mississippi Adults. International Journal of Environmental Research and Public Health 15(9).
 
[15]  Cook, J. T., & Jeng, K., 2009. Child food insecurity: The economic impact on our nation: A report on research on the impact of food insecurity and hunger on child health, growth and development. Feeding America.
 
[16]  Gundersen, C., & Ziliak, J. P., 2015. Food insecurity and health outcomes. Health Affairs34(11), 1830-1839.
 
[17]  Crowe, J., Lacy, C., & Columbus, Y., 2018. Barriers to food security and community stress in an urban food desert. Urban Science 2(2), 46.
 
[18]  Chai, W., Fan, J. X., & Wen, M., 2018. Association of Individual and Neighborhood Factors with Home Food Availability: Evidence from the National Health and Nutrition Examination Survey. Journal of the Academy of Nutrition & Dietetics 118(5), 815-823.
 
[19]  Shannon, J., 2016. Beyond the Supermarket Solution: Linking Food Deserts, Neighborhood Context, and Everyday Mobility. Annals of the American Association of Geographers 106(1), 186-202.
 
[20]  Kennedy, S., Fitch, C. A., Warren, J. R., & Rivera Drew, J. A., 2013. Food Insecurity during Childhood: Understanding Persistence and Change Using Linked Current Population Survey Data. University of Kentucky Center for Poverty Research Discussion Paper Series, DP2013-03. University of Kentucky Center for Poverty Research.
 
[21]  Coleman-Jensen, A., McFall, W., & Mark, N., 2013. Food Insecurity in Households with Children: Prevalence, Severity, and Household Characteristics, 2010-11. https://www.ers.usda.gov/webdocs/publications/43763/37672_eib-113.pdf?v=4842.4.
 
[22]  Bower, K. M., Thorpe Jr, R. J., Rohde, C., & Gaskin, D. J., 2014. The intersection of neighborhood racial segregation, poverty, and urbanicity and its impact on food store availability in the United States. Preventive Medicine 58, 33-39.
 
[23]  Zenk, S. N., Schulz, A. J., Israel, B. A., James, S. A., Bao, S., & Wilson, M. L., 2005. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. American Journal of Public Health 95(4), 660-667.
 
[24]  Colón-Ramos, U., Monge-Rojas, R., Stevenson, T. R., Burns, H., Thurman, S., Gittelsohn, J., & Gurman, T. A., 2018. How Do African-American Caregivers Navigate a Food Desert to Feed Their Children? A Photovoice Narrative. Journal of the Academy of Nutrition and Dietetics 118(11), 2045-2056.
 
[25]  Moore, L. V, Diez Roux, A. V, Nettleton, J. A., & Jacobs Jr, D. R., 2008. Associations of the local food environment with diet quality—a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. American Journal of Epidemiology 167(8), 917-924.
 
[26]  Franco, M., Roux, A. V. D., Glass, T. A., Caballero, B., & Brancati, F. L., 2008. Neighborhood characteristics and availability of healthy foods in Baltimore. American Journal of Preventive Medicine 35(6), 561-567.
 
[27]  Morland, K., Wing, S., Roux, A. D., & Poole, C., 2002. Neighborhood characteristics associated with the location of food stores and food service places. American Journal of Preventive Medicine 22(1), 23-29.
 
[28]  Filomena, S., Scanlin, K., & Morland, K. B., 2013. Brooklyn, New York foodscape 2007–2011: a five-year analysis of stability in food retail environments. International Journal of Behavioral Nutrition and Physical Activity 10(1), 46.
 
[29]  Wilcox, S., Sharpe, P. A., Liese, A. D., Dunn, C. G., & Hutto, B., 2020. Socioeconomic factors associated with diet quality and meeting dietary guidelines in disadvantaged neighborhoods in the Southeast United States. Ethnicity & Health 25(8), 1115-1131.
 
[30]  Rodriguez, R. M., & Maraj Grahame, K., 2016. Understanding food access in a rural community: an ecological perspective. Food, Culture & Society 19(1), 171-194.
 
[31]  Lu, Y.-C., Walker, R., Richard, P., & Younis, M., 2020. Inequalities in Poverty and Income between Single Mothers and Fathers. In International Journal of Environmental Research and Public Health 17(1).
 
[32]  Chung, Y., & Maguire-Jack, K., 2020. Understanding movement into poverty and poverty persistence over time. Journal of Poverty 24(3), 241-255.
 
[33]  Racine, E. F., Delmelle, E., Major, E., & Solomon, C. A., 2018. Accessibility landscapes of supplemental nutrition assistance program− Authorized stores. Journal of the Academy of Nutrition and Dietetics, 118(5), 836-848.
 
[34]  Robbins, S., Ettinger, A. K., Keefe, C., Riley, A., & Surkan, P. J., 2017. Low-income urban mothers’ experiences with the Supplemental Nutrition Assistance Program. Journal of the Academy of Nutrition and Dietetics 117(10), 1538-1553.
 
[35]  Cohen, N., 2019. SNAP at the Community Scale: How Neighborhood Characteristics Affect Participation and Food Access. American Journal of Public Health 109(12), 1646-1651.
 
[36]  Laska, M. N., Borradaile, K. E., Tester, J., Foster, G. D., & Gittelsohn, J., 2010. Healthy food availability in small urban food stores: a comparison of four US cities. Public Health Nutrition 13(7), 1031-1035.
 
[37]  Hager, E. R., Cockerham, A., O’Reilly, N., Harrington, D., Harding, J., Hurley, K. M., & Black, M. M., 2017. Food swamps and food deserts in Baltimore City, MD, USA: Associations with dietary behaviors among urban adolescent girls. Public Health Nutrition 20(14), 2598-2607.
 
[38]  Chen, H.-J., & Wang, Y., 2014. The changing food outlet distributions and local contextual factors in the United States. BMC Public Health 14(1), 1-18.
 
[39]  Kwate, N. O. A., Yau, C.Y., Loh, J.M., & Williams, D., 2009. Inequality in obesogenic environments: fast food density in New York City. Health & Place 15(1), 364-373.
 
[40]  DiSantis, K. I., Hillier, A., Holaday, R., & Kumanyika, S., 2016. Why do you shop there? A mixed methods study mapping household food shopping patterns onto weekly routines of black women. International Journal of Behavioral Nutrition and Physical Activity 13(1), 1-9.
 
[41]  Cannuscio, C. C., Tappe, K., Hillier, A., Buttenheim, A., Karpyn, A., & Glanz, K., 2013. Urban food environments and residents’ shopping behaviors. American Journal of Preventive Medicine 45(5), 606-614.
 
[42]  Ghosh-Dastidar, B., Cohen, D., Hunter, G., Zenk, S. N., Huang, C., Beckman, R., & Dubowitz, T., 2014. Distance to store, food prices, and obesity in urban food deserts. American Journal of Preventive Medicine 47(5), 587-595.
 
[43]  Wright, J. D., Donley, A. M., Gualtieri, M. C., & Strickhouser, S. M., 2016. Food deserts: What is the problem? What is the solution? Society 53(2), 171-181.
 
[44]  Tiwari, S., & Ambinakudige, S., 2020. Streetscapes and stereotyping: streets named after Martin Luther King, Jr., and the geographies of racial identity. GeoJournal.
 
[45]  D’Rozario, D., & Williams, J. D., 2005. Retail redlining: Definition, theory, typology, and measurement. Journal of Macromarketing 25(2), 175-186.
 
[46]  Eisenhauer, E., 2001. In poor health: Supermarket redlining and urban nutrition. GeoJournal 53(2), 125.
 
[47]  Kane, J., 1984. The Supermarket Shuffle. Mother Jones, 9-7.
 
[48]  Zhang, M., & Ghosh, D., 2016. Spatial Supermarket Redlining and Neighborhood Vulnerability: A Case Study of H artford, C onnecticut. Transactions in GIS 20(1), 79-100.
 
[49]  Bonanno, A., 2012. Food Deserts: Demand, Supply, and Economic Theory. Choices: The Magazine of Food, Farm & Resource Issues, 27(3), 1.
 
[50]  Johnson, R. A., & Wichern, D. W., 2015. Applied multivariate statistical analysis. Statistics 6215(10), 10.
 
[51]  Gardner, E., Kimpel, T., & Zhao, Y., 2010. American Community Survey User Guide ACS Publication No. Citeseer.
 
[52]  Nunnally, J. C., & Bernstein, I. (n.d.). Psychometric Theory (3rd ed.). New York: MCGraw Hill.
 
[53]  Flanagan, B. E., Hallisey, E. J., Adams, E., & Lavery, A., 2018. Measuring community vulnerability to natural and anthropogenic hazards: The Centers for Disease Control and Prevention’s Social Vulnerability Index. Journal of Environmental Health 80(10), 34.
 
[54]  CDC, 2020. CDC Social Vulnerability Index. https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/pdf/SVI2018Documentation-H.pdf.
 
[55]  Zygmont, C., & Smith, M. R., 2014. Robust factor analysis in the presence of normality violations, missing data, and outliers: Empirical questions and possible solutions. The Quantitative Methods for Psychology 10(1), 40-55.
 
[56]  Krijnen, W. P., 1996. Algorithms for unweighted least-squares factor analysis. Computational Statistics & Data Analysis 21(2), 133-147.
 
[57]  Osborne, J. W., & Banjanovic, E. S., 2016. Exploratory factor analysis with SAS. Sas Institute.
 
[58]  Kaiser, H. F., & Rice, J., 1974. Little jiffy, mark IV. Educational and Psychological Measurement 34(1), 111-117.
 
[59]  Lamichhane, A. P., Warren, J., Puett, R., Porter, D. E., Bottai, M., Mayer-Davis, E. J., & Liese, A. D., 2013. Spatial patterning of supermarkets and fast-food outlets with respect to neighborhood characteristics. Health & Place, 23, 157-164.