Abstract
Food insecurity is a public health issue that affects 12% of Americans. Individuals living in food insecure households are more likely to suffer from conditions such as undernutrition, obesity and chronic diseases. Food insecurity has been linked to limited geographic access to food; however, past studies have used limited measures of access which do not fully capture the nuances of community context. The purpose of this study was to explore the association between food insecurity and geographic food access by level of urbanicity. 2-1-1 calls made in 2018 in Central Texas were classified as food needs versus non-food needs. Supermarket and convenience stores were mapped using ArcGIS. Geographic food access was operationalized as the presence of supermarkets and convenience stores: within the zip code; only in neighboring zip codes; and not located within or in neighboring zip codes. Descriptive statistics and binomial logistic regression were used to examine associations between geographic access and 2-1-1 food calls, stratified by level of urbanicity. 11% of the 2-1-1 calls made in 2018 (N = 55,405) were regarding food needs. Results showed that peri-urban and rural callers living in zip codes that only had supermarkets in neighboring zip codes had greater odds of calling about food needs compared to those that had supermarkets within the zip code. These findings indicate that geographic food access is associated with food insecurity, but this relationship varies by urbanicity. Thus, the development of food insecurity mitigation programs in peri-urban and rural areas is needed.
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References
Pinstrup-Andersen, P. (2009). Food security: Definition and measurement. Food security., 1(1), 5–7.
Coleman-Jensen, A., Rabbitt, M.P., Gregory, C.A., Singh, A., (2018) Household food security in the United States in 2017: United States Department of Agriculture, Economic Research Service 2018.
Gundersen, C., & Ziliak, J. P. (2015). Food insecurity and health outcomes. Health Affairs, 34(11), 1830–1839.
Bhattacharya, J., Currie, J., & Haider, S. (2004). Poverty, food insecurity, and nutritional outcomes in children and adults. Journal of Health Economics, 23(4), 839–862.
Franklin, B., Jones, A., Love, D., Puckett, S., Macklin, J., & White-Means, S. (2012). Exploring mediators of food insecurity and obesity: A review of recent literature. Journal of Community Health, 37(1), 253–264.
Martinez, S.M., Frongillo, E.A., Leung, C., Ritchie L. (2018) No food for thought: Food insecurity is related to poor mental health and lower academic performance among students in California’s public university system. Journal of Health Psychology, 2018:1359105318783028.
Seligman, H. K., Bindman, A. B., Vittinghoff, E., Kanaya, A. M., & Kushel, M. B. (2007). Food insecurity is associated with diabetes mellitus: Results from the national health examination and nutrition examination survey (NHANES) 1999–2002. Journal of General Internal Medicine, 22(7), 1018–1023.
Campbell, C. C. (1991). Food insecurity: A nutritional outcome or a predictor variable? The Journal of Nutrition, 121(3), 408–415.
Jones, A. D., Hoey, L., Blesh, J., Janda, K., Llanque, R., & Aguilar, A. M. (2018). Peri-urban, but not urban, residence in bolivia is associated with higher odds of co-occurrence of overweight and anemia among young children, and of households with an overweight woman and stunted child. The Journal of Nutrition, 148(4), 632–642.
Seligman, H. K., Laraia, B. A., & Kushel, M. B. (2009). Food insecurity is associated with chronic disease among low-income NHANES participants. The Journal of Nutrition, 140(2), 304–310.
Pan, L., Sherry, B., Njai, R., & Blanck, H. M. (2012). Food insecurity is associated with obesity among US adults in 12 states. Journal of the Academy of Nutrition and Dietetics, 112(9), 1403–1409.
Jones, A. D., Ngure, F. M., Pelto, G., & Young, S. L. (2013). What are we assessing when we measure food security? A compendium and review of current metrics. Advances in Nutrition, 4(5), 481–505.
Leroy, J. L., Ruel, M., Frongillo, E. A., Harris, J., & Ballard, T. J. (2015). Measuring the food access dimension of food security: A critical review and mapping of indicators. Food and Nutrition Bulletin, 36(2), 167–195.
Larson, N. I., Story, M. T., & Nelson, M. C. (2009). Neighborhood environments: Disparities in access to healthy foods in the US. American Journal of Preventive Medicine, 36(1), 74–81e10.
Liese, A. D., Hibbert, J. D., Ma, X., Bell, B. A., & Battersby, S. E. (2014). Where are the food deserts? An evaluation of policy-relevant measures of community food access in South Carolina. Journal of Hunger & Environmental Nutrition, 9(1), 16–32.
Rose, D. (2010). Access to healthy food: A key focus for research on domestic food insecurity. The Journal of Nutrition, 140(6), 1167–1169.
Ford, P., & Dzewaltowski, D. (2010). Geographic, racial, ethnic, and socioeconomic disparities in the availability of grocery stores and supermarkets among low-income women across the urban–rural continuum. Journal of Hunger & Environmental Nutrition, 5(2), 216–233.
Lebel, A., Noreau, D., Tremblay, L., et al. (2016). Identifying rural food deserts: Methodological considerations for food environment interventions. Canadian Journal of Public Health, 107(1), eS21.
Beaulac, J., Kristjansson, E., & Cummins, S. (2009). Peer reviewed: A systematic review of food deserts, 1966–2007. Preventing Chronic Disease, 6(3), A105.
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.
Lopez-Class, M., & Hosler, A. S. (2010). Assessment of community food resources: A Latino neighborhood study in upstate New York. Journal of Poverty, 14(4), 369–381.
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.
Thomas, B. J. (2010). Food deserts and the sociology of space: Distance to food retailers and food insecurity in an urban American neighborhood. International Journal of Human and Social Sciences, 5(6), 400–409.
Morton, L. W., & Blanchard, T. C. (2007). Starved for access: Life in rural America’s food deserts. Rural Realities, 1(4), 1–10.
Bacon, C. M., & Baker, G. A. (2017). The rise of food banks and the challenge of matching food assistance with potential need: Towards a spatially specific, rapid assessment approach. Agriculture and Human Values, 34(4), 899–919.
O'Connell, K. E., Holben, D. H., & Holcomb, J. P. (2008). Use of food pantries is associated with household food insecurity in Ohio. Journal of Hunger & Environmental Nutrition, 2(2–3), 93–109.
Robaina, K. A., & Martin, K. S. (2013). Food insecurity, poor diet quality, and obesity among food pantry participants in Hartford, CT. Journal of Nutrition Education and Behavior, 45(2), 159–164.
Daily, L. S. (2012). Health research and surveillance potential to partner with 2-1-1. American Journal of Preventive Medicine, 43(6), S422–S424.
Linnan, L. A. (2012). Research collaboration with 2-1-1 to eliminate health disparities: An introduction. American Journal of Preventive Medicine, 43(6), S415–S419.
Rodgers, J. T., & Purnell, J. Q. (2012). Healthcare navigation service in 2-1-1 San Diego: Guiding individuals to the care they need. American Journal of Preventive Medicine, 43(6), S450–S456.
Boyum, S., Kreuter, M. W., McQueen, A., Thompson, T., & Greer, R. (2016). Getting help from 2-1-1: A statewide study of referral outcomes. Journal of Social Service Research, 42(3), 402–411.
Savas, L. S., Fernández, M. E., Jobe, D., & Carmack, C. C. (2012). Human papillomavirus vaccine: 2-1-1 helplines and minority parent decision-making. American Journal of Preventive Medicine, 43(6), S490–S496.
Saxton, M. L., Naumer, C. M., & Fisher, K. E. (2007). 2-1-1 information services: Outcomes assessment, benefit–cost analysis, and policy issues. Government Information Quarterly, 24(1), 186–215.
Texas UWoC. 2018 Community Needs and Trends Report unitedwayaustin.org United Way of Central Texas 2019 2019.
ESRI. ArcGIS Deskptop: Version 10.7.1. Redlands, CA: Environmental systems research institute, Inc. 2019.
Team RC. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing 2017.
Stata Statistical Software: Release 14 [database on the Internet]. StataCorp, LP. 2015.
Register F. Part III, Department of Health and Human Services, Centers for Medicare & Medicaid Services, 42 CFR Parts 403 and 408 Medicare Program; Medicare Prescription Drug Discount Card; Interim Rule and Notice. 2003 https://www.cms.gov/Regulations-and-Guidance/Regulations-and-Policies/QuarterlyProviderUpdates/downloads/cms4063ifc.pdf. Retreived March 6, 2020.
Olson, C. M., Rauschenbach, B. S., Frongillo Jr, E. A., & Kendall, A. Factors Contributing to Household Food Insecurity in a Rural Upstate New York County. Economics and Nutrition Review. US Department of Agriculture, 1996.
Garasky, S., Morton, L. W., & Greder, K. A. (2006). The effects of the local food environment and social support on rural food insecurity. Journal of Hunger & Environmental Nutrition, 1(1), 83–103.
Sharkey, J. R., & Horel, S. (2008). Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. The Journal of Nutrition, 138(3), 620–627.
Olson, C. M., Anderson, K., Kiss, E., Lawrence, F. C., & Seiling, S. B. (2004). Factors protecting against and contributing to food insecurity among rural families. Family Economics and Nutrition Review, 16(1), 12–21.
Bernal, J., Frongillo, E. A., Herrera, H., & Rivera, J. (2012). Children live, feel, and respond to experiences of food insecurity that compromise their development and weight status in peri-urban Venezuela. The Journal of Nutrition, 142(7), 1343–1349.
Lerner, A. M., & Eakin, H. (2011). An obsolete dichotomy? Rethinking the rural–urban interface in terms of food security and production in the global south. The Geographical Journal, 177(4), 311–320.
Garcia, J., Hromi-Fiedler, A., Mazur, R. E., et al. (2013). Persistent household food insecurity, HIV, and maternal stress in peri-urban Ghana. BMC Public Health, 13(1), 215.
Rogus, S., & Dimitri, C. (2015). Agriculture in urban and peri-urban areas in the United States: Highlights from the census of agriculture. Renewable Agriculture and Food Systems., 30(1), 64–78.
Covington, K. L. (2015). Poverty Suburbanization: Theoretical Insights and Empirical Analyses. Social Inclusion, 3(2), 71–90.
Barnes, T. L., Bell, B. A., Freedman, D. A., Colabianchi, N., & Liese, A. D. (2015). Do people really know what food retailers exist in their neighborhood? Examining GIS-based and perceived presence of retail food outlets in an eight-county region of South Carolina. Spatial and Spatio-Temporal Epidemiology, 13, 31–40.
Rivera, R. L., Dunne, J., Maulding, M. K., et al. (2018). Exploring the association of urban or rural county status and environmental, nutrition-and lifestyle-related resources with the efficacy of snap-ed (supplemental nutrition assistance program-education) to improve food security. Public Health Nutrition, 21(5), 957–966.
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Janda, K.M., Salvo Dominguez, D., Ranjit, N. et al. Mapping Food Insecurity-Related 2-1-1 Calls in a 10-County Area of Central Texas by Zip Code: Exploring the Role of Geographic Food Access, Urbanicity and Demographic Indicators. J Community Health 46, 86–97 (2021). https://doi.org/10.1007/s10900-020-00847-3
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DOI: https://doi.org/10.1007/s10900-020-00847-3