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Monetary and Nonmonetary Cost Factors in the Cycle of Unhealth

  • Alyssa J. Reynolds-PearsonEmail author
Conference paper
Part of the Developments in Marketing Science: Proceedings of the Academy of Marketing Science book series (DMSPAMS)

Abstract

Policymakers have long suggested a need to overhaul supplemental nutrition assistance programs in the USA to save taxpayer money. However, these efforts are often met with resistance because cutting costs is often paired with reducing the quality of diet which can result in even greater costs in government-provided healthcare. This research takes a consumer-driven perspective and explores the cost factors driving food purchases for low-income, urban consumers in order to better understand the ways that the current food marketing system is failing to provide this population with value. The samples include a 32-person sample from a low-income urban area in North Carolina as well as a 52-person general population sample taken from Amazon mTurk. This exploratory research shows that low-income consumers tend to rely more heavily on well-known food and are most concerned about the cognitive burden and time required to prepare meals at home. These findings can be used to better understand the shopping decisions of low-income consumers and for policy makers to design higher value supplemental nutrition programs to address these concerns.

Keywords

Food marketing Obesity Economic mobility Shopping Poverty Supermarket 

References

  1. American Diabetes Association. (2013). Economic costs of diabetes in the US in 2012. Diabetes Care, 36(4), 10331046.Google Scholar
  2. Avendano, M., Kawachi, I., Van Lenthe, F., Boshuizen, H. C., Mackenbach, J. P., Van den Bos, G. A. M., & Berkman, L. F. (2006). Socioeconomic Status and Stroke Incidence in the US Elderly. Stroke, 37(6), 13681373.Google Scholar
  3. Bettger, J. P., Zhao, X., Bushnell, C., Zimmer, L., Pan, W., Williams, L. S., & Peterson, E. D. (2014). The association between socioeconomic status and disability after stroke: findings from the Adherence eValuation After Ischemic stroke Longitudinal (AVAIL) registry. BMC Public Health, 14(1), 281.Google Scholar
  4. Centers for Disease Control and Prevention. (2017). Native Americans with diabetes: Better diabetes care can decrease kidney failure. Atlanta, GA: Centers for Disease Control and Prevention. Retrieved August 30, 2018 from https://www.cdc.gov/vitalsigns/pdf/2017-01-vitalsigns.pdf.
  5. Datar, A., & Chung, P. J. (2015). Changes in socioeconomic, racial/ethnic, and sex disparities in childhood obesity at school entry in the United States. JAMA Pediatrics, 169(7), 696-697.Google Scholar
  6. Evich, H. (2018). Trump pitches plan to replace food stamps with food boxes. POLITICO. Retrieved September 7, 2018 from https://www.politico.com/story/2018/02/12/food-stamps-trump-administration-34324.
  7. Flint, S. W., Čadek, M., Codreanu, S. C., Ivić, V., Zomer, C., & Gomoiu, A. (2016). Obesity Discrimination in the Recruitment Process: “You’re Not Hired!”. Frontiers in Psychology, 7.Google Scholar
  8. Flint, S. W., & Snook, J. (2014). Obesity and discrimination: The next ‘big issue’?. International Journal of Discrimination and the Law14(3), 183-193.Google Scholar
  9. Franks, P., Winters, P. C., Tancredi, D. J., & Fiscella, K. A. (2011). Do changes in traditional coronary heart disease risk factors over time explain the association between socio-economic status and coronary heart disease?. BMC Cardiovascular Disorders, 11(1), 28.Google Scholar
  10. Frongillo, E. A., Jyoti, D. F., & Jones, S. J. (2006). Food stamp program participation is associated with better academic learning among school children. The Journal of Nutrition, 136(4), 1077-1080.Google Scholar
  11. Godoy, M. (2018). How Might Trump’s Food Box Plan Affect Health? Native Americans Know All Too Well. National Public Radio. Retrieved September 15, 2018 https://www.npr.org/sections/thesalt/2018/02/25/588098959/how-might-trump-plan-for-food-boxes-affect-health-native-americans-know-all-too.
  12. Hoynes, H., Schanzenbach, D. W., & Almond, D. (2016). Long-run impacts of childhood access to the safety net. American Economic Review, 106(4), 90334.Google Scholar
  13. Nichols, G. A., Bell, T. J., Pedula, K. L., & O'Keeffe-Rosetti, M. (2010). Medical care costs among patients with established cardiovascular disease. The American Journal of Managed Care, 16(3), 8693.Google Scholar
  14. Ogden, C. L., Lamb, M. M., Carroll, M. D., & Flegal, K. M. (2010). Obesity and socioeconomic status in adults: United States 1988–1994 and 2005–2008. NCHS data brief no 50. National Center for Health Statistics, Hyattsville, MD.Google Scholar
  15. Pinsker, J. (2017). Why So Many Rich Kids Come to Enjoy the Taste of Healthier Foods. The Atlantic. Retrieved August 30, 2018 from https://www.theatlantic.com/business/archive/2016/01/rich-kids-healthier-foods/431646/.
  16. Rabi, D. M., Edwards, A. L., Southern, D. A., Svenson, L. W., Sargious, P. M., Norton, P., & Ghali, W. A. (2006). Association of socio-economic status with diabetes prevalence and utilization of diabetes care services. BMC Health Services Research, 6(1), 124..Google Scholar
  17. Tunceli, K., Li, K., & Williams, L. (2006). Long‐Term Effects of Obesity on Employment and Work Limitations Among US Adults, 1986 to 1999. Obesity, 14(9), 1637-1646.Google Scholar
  18. Tiwari, A., Aggarwal, A., Tang, W., & Drewnowski, A. (2017). Cooking at home: a strategy to comply with US dietary guidelines at no extra cost. American Journal of Preventive Medicine, 52(5), 616-624.Google Scholar
  19. United States Department of Agriculture. (2018). Economic Linkages. Economic Research Service.Google Scholar
  20. Wang, Y., & Beydoun, M. A. (2007). The obesity epidemic in the United States—gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiologic Reviews, 29(1), 6-28.Google Scholar
  21. The White House. (2018) Budget Of The US Government. A New Foundation For American Greatness. Fiscal Year 2018. Washington D.C.: The White House.Google Scholar

Copyright information

© The Academy of Marketing Science 2020

Authors and Affiliations

  1. 1.Winston-Salem State UniversityWinston-SalemUSA

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