Abstract
Corn Belt US has constantly showed low fruit and vegetable (F & V) consumption. One of the policy suggestions to increase F & V consumption is to implement government food subsidies for low- and no-income families. In this study, we conducted a household food-choice survey study and the results suggested that both Supplemental Nutrition Assistance and Women, Infant, and Children programs had significant effects on increasing F & V consumption. However, those effects varied by family characteristics, dietary habit, and living environment. Moreover, exercise habits, family support, and the willingness to make healthy choices had more influences on increasing F &V intake than did demographic background, socio-economic variables, and living environment variables. We also found an inconsistent pattern of how nutrition knowledge affects F & V consumption.
Similar content being viewed by others
Notes
SNAP is a government-sponsored welfare program [administered by the US Department of Agriculture-Food and Nutrition Service (USDA-FNS) under the Farm Bill] designed to offer financial assistance for the families in need to purchase foods (USDA 2013b).
In 2013, USDA-ERS abandoned the original “food desert” definition and updated the food access information in the new Food Access Research Atlas. However, this study was conducted in 2012; thus our definition of Region 1 was based on the original definition of “Food Desert” by the USDA-ERS.
2: Towns of 1,000–5,000 residents, 3: city of 5,000–10,000 residents.
Based on the definition in Table 3, the differences of average income between Group 3 and other two groups is approximately $15,000.
References
Ali, M. M., & Ajilore, O. (2011). Can marriage reduce risky health behavior for African-Americans? Journal of Family and Economic Issues, 32(2), 191–203. doi:10.1007/s10834-010-9242-z.
Andrieu, E., Darmon, N., & Drewnowski, A. (2006). Low-cost diets: More energy, fewer nutrients. European Journal of Clinical Nutrition, 60, 434–436. doi:10.1038/sj.ejcn.1602331.
Bolin, K., Jacobson, L., & Lindgren, B. (2009). The Family as the health producer—When spouses act strategically. Journal of Health Economics, 21, 475–495. doi:10.1016/S0167-6296(01)00135-7.
Brooks, T., Trushenski, S., McCurry, M., & Hess, D. (2008). South Dakota’s food deserts. Rural Life Census Data Center, 1, 1–3. http://pubstorage.sdstate.edu/AgBio_Publications/articles/rs1-08.pdf.
California Pan-Ethnic Health Network. (2012). The inextricable connection between food security and diabetes. http://www.caldiabetes.org/content.cfm?categoriesID=30&contentID=1260.
Case, A., Lubotsky, D., & Paxson, C. (2002). Economic status and health in childhood: The origins of the gradient. American Economic Review, 92, 1308–1334. http://www.princeton.edu/~accase/downloads///Economic_Status_and_Health_in_Childhood.pdf.
Chang, K.-L., & Chen, C.-M. (2013). Risk perception and obesity in emerging economies: A case study of China and Taiwan. Journal of Chinese Economics, 1(1), 25–54. http://journals.sfu.ca/nwchp/index.php/journal.
Chang, K.-L., Langelett, G., & Waugh, A. (2011). Health, health insurance, and decision to exit from farming. Journal of Family and Economic Issues, 32(2), 356–372. doi:10.1007/s10834-011-9254-3.
Chen, D., & Gazmararian, J. (2014). Impact of personal preference and motivation on fruit and vegetable consumption of WIC-participating mothers and children in Atlanta, GA. Journal of Nutrition Education and Behavior, 46, 62–67. doi:10.1016/j.jneb.2013.03.001.
Coneus, K., & Spiess, C. K. (2008). The intergenerational transmission of health in early childhood. German Socio-Economic Panel Study (SOEP papers number 126). http://www.diw.de/documents/publikationen/73/88605/diw_sp0126.pdf.
Cook, C. C., Crull, S. R., Fletcher, C. N., Hinnant-Bernard, T., & Peterson, J. (2002). Meeting family housing needs: Experiences of rural women in the midst of welfare reform. Journal of Family and Economic Issues, 23, 285–316. doi:10.1023/A:1020347227308.
Dammann, K., & Smith, C. (2011). Food-related environmental, behavioral, and personal factors associated with body mass index among urban, low-income African-American, American Indian, and Caucasian women. American Journal of Health Promotion, 25, e1–e10. doi:10.4278/ajhp.091222-QUAN-397.
Darmon, N., & Drewnowski, A. (2008). Does social class predict diet quality? The American Journal of Clinical Nutrition, 87, 1107–1117. http://ajcn.nutrition.org/content/87/5/1107.full.pdf+html.
Dillman, D. A. (2007). Mail and Internet surveys: The tailored design method. Hoboken, NJ: Wiley.
Do, M., Kattelmann, K., Boeckner, L., Greene, G., White, A., Hoerr, S., et al. (2008). Low-income young adults report increased variety in fruit and vegetable intake following a stage-tailored intervention. Nutrition Research, 28, 517–522. doi:10.1016/j.nutres.2008.05.013.
Dong, D., & Lin, B. H. (2009). Fruit and vegetable consumption by low-income Americans: Would a price reduction make a difference? Economic Research Report number 70. USDA-ERS. http://www.ers.usda.gov/publications/err-economic-research-report/err70.aspx#.Uwkc9c5ZhSQ.
Duncan, G., Wilkerson, B., & England, P. (2006). Cleaning up their act: The effects of marriage and cohabitation on licit and illicit drug use. Demography, 43(4), 691–710.
Duyff, R. L. (2010). Home economics to family and consumer sciences: Reinvented for today’s consumer. Canned Food Alliance. http://www.mealtime.org/uploadedFiles/Mealtime/Content/CFA_White_paper_6-30-9_low_res_FINAL%281%29.pdf.
Edmundson, E., Parcel, G., Feldman, H., Elder, J., Perry, C., Johnson, C., et al. (1996). The effects of the child and adolescent trial for cardiovascular health upon psychosocial determinants of diet and physical activity behavior. Preventive Medicine, 25(4), 442–454.
Erinosho, T., Moser, R., Ohd, A., Nebeling, L., & Yaroch, A. (2012). Awareness of the Fruits and Veggies—More Matters campaign, knowledge of the fruit and vegetable recommendation, and fruit and vegetable intake of adults in the 2007 Food Attitudes and Behaviors (FAB) Survey. Appetite, 59, 155–160. doi:10.1016/j.appet.2012.04.010.
Frazao, E. (1999, April). High costs of poor eating patterns in the United States. In E. Franzo (Ed.), America’s eating habits: Changes and consequences. Agriculture Information Bulletin number 750. US Department of Agriculture, Economic Research Service.
Greene, W. H. (2000). Econometric analysis (4th ed.). Englewood Cliffs, NJ: Prentice Hall.
Gross, S., Pollock, E. D., & Braun, B. (2010). Family influence: Key to fruit and vegetable consumption among fourth- and fifth-grade students. Journal of Nutrition Education and Behavior, 42(4), 235–241. doi:10.1016/j.jneb.2009.05.007.
Guthrie, J., Frazão, E., Andrews, M., & Smallwood, D. (2007). Improving food choices—Can food stamps do more? Amber Waves, 5(2). U.S. Department of Agriculture, Economic Research Service. http://www.ers.usda.gov/publications/eib-economic-information-bulletin/eib29.aspx#.Uwkb685ZhSQ.
Guthrie, J. F., & Variyam, J. N. (2007). Nutrition information: Can it improve the diets of low-income households? US Department of Agriculture, Economic Research Service Bulletin number 29-6.
Hersh, J. (2000). Gender, income level, and the demand for cigarettes. Journal of Risk and Uncertainty, 21, 263–282.
Izzo, P. (2013). Food-stamp use rises; some 15 % get benefits. Wall Street Journal. http://blogs.wsj.com/economics/2013/08/09/food-stamp-use-rises-some-15-of-u-s-gets-benefits/.
Kim, K., Struemple, B., & Parmer, S. (2011). Decision of SNAP recipients to consume more vegetables: An application of the theory of planned behavior. Journal of Hunger and Environmental Nutrition, 6(3), 294–311. doi:10.1080/19320248.2011.597831.
Kinsey, J. (2013). The economics of Federal Food Programs: Weighting the costs and benefits—Economics of Federal Food Programs with Emphasis on the Supplemental Nutrition Assistance Program (SNAP). FARE. The Council on Food, Agricultural and Resource Economics. http://www.cfare.org/econofsnap/cfare_snap_final_email.pdf.
Manios, Y., Moschandreas, J., Hatzis, C., & Kafatos, A. (1999). Evaluation of a health and nutrition education program in primary school children of Crete over a three-year period. Preventive Medicine, 28, 149–159. doi:10.1006/pmed.1998.0388.
McKelvey, R. D., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. Journal of Mathematical Sociology, 4, 104–120.
Monsivais, P., & Drewnowski, A. (2007). The rising cost of low-energy-density foods. Journal of American Diet Association, 107, 2071–2076.
Nord, M., Andrews, M., & Carlson, S. (2009). Household food security in the United States, 2008. Economic Research Report number 83. US Department of Agriculture, Economic Research Service. http://www.ers.usda.gov/publications/err-economic-research-report/err83.aspx.
Nord, M., & Golla, A. M. (2009). Does SNAP decrease food insecurity? Untangling the self-selection effect. Economic Research Report number 85. US Department of Agriculture, Economic Research Service. http://www.ers.usda.gov/ersDownloadHandler.ashx?file=/media/184820/err85_reportsummary_1_.pdf.
Petrovici, D., & Ritson, C. (2006). Factors influencing consumer dietary health preventative behaviours. BMC Public Health, 6(222), 26–28. doi:10.1186/1471-2458-6-222.
Ponthiere, G. (2011). Mortality, family and lifestyles. Journal of Family and Economic Issues, 32(2), 175–190. doi:10.1007/s10834-010-9229-9. (Online First).
Prochaska, J., & DiClemente, C. (1992). Stages of change in the modification of problem behaviors. In M. Hersen, R. M. Eisler, & P. M. Miller (Eds.), Progress in Behavior modification. Newbury Park, CA: Sage.
Puma, J., Romaniello, C., Crane, L., Scarbro, S., Belansky, E., & Marshall, J. (2013). Long-term student outcomes of the Integrated Nutrition and Physical Activity Program. Journal of Nutrition Education and Behavior, 45(6), 635–642. doi:10.1016/j.jneb.2013.05.006.
Rustad, C., & Smith, C. (2013). Nutrition knowledge and associated behavior changes in a holistic, short-term nutrition education intervention with low-income women. Journal of Nutrition Education and Behavior, 45(6), 490–498. doi:10.1016/j.jneb.2013.06.009.
Sano, Y., Garasky, S., Greder, K., Cook, C., & Browder, D. (2011). Understanding food insecurity among Latino immigrant families in rural America. Journal of Family and Economic Issues, 32, 111–123. doi:10.1007/s10834-010-9219-y.
Sexton, J. S. (2013). Supplemental nutrition assistance program education through the land-grant university system for FY 2010: A retrospective review. Starkville, MS. http://www.extension.org/sites/default/files/2010ReportNEW.pdf.
Smith-Nonini, S. (1999). Uprooting injustice—A report on working conditions for North Carolina farmworkers and the farm labor organizing committees Mt. Olive Initiative. Durham, NC: Institute for Southern Studies. http://www.ncccusa.org/publicwitness/mtolive/printerboycott.html.
South Dakota Department of Health (2011) South Dakota school height and weight report. http://doh.sd.gov/statistics/assets/10-11.pdf.
Steptoe, A., Wijetunge, S., Doherty, S., & Wardle, J. (1996). Stages of change for dietary fat reduction: Associations with food intake, decisional balance and motives for food choice. Health Education Journal, 55, 108–122.
Stewart, H., Hyman, J., Frazao, E., Buzby, J., & Carlson, A. (2011). Can low-income Americans afford to satisfy My Pyramid fruit and vegetable guidelines? Journal of Nutrition Education and Behavior, 43(3), 173–179. doi:10.1016/j.jneb.2010.08.011.
United States Census Bureau. (2012). State and county quick facts. http://quickfacts.census.gov/qfd/states/46000.html.
United States Centers for Disease Control and Prevention. (2013). State Indicator Report on Fruits and Vegetables 2013. National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity, and Obesity. http://www.cdc.gov/nutrition/downloads/State-Indicator-Report-Fruits-Vegetables-2013.pdf.
United States Department of Agriculture. (2013a). Economics Research Service. Food Access Research Atlas. http://www.ers.usda.gov/data-products/food-access-research-atlas.aspx#.UkNgmX8udSS.
United States Department of Agriculture. (2013b). Food and Nutrition Service. Supplemental Nutrition Assistant Program. http://www.fns.usda.gov/snap/applicant_recipients/apply.htm.
United States Department of Health and Human Services. (2009). State indicator report on fruits and vegetables. Washington, DC: Centers for Disease Control and Prevention.
Variyam, J., & Golan, E. (2002). New health information is reshaping food choices. Food Review, 25(1), 13–18.
Ver Ploeg, M. (2009). Do benefits of US food assistance programs for children spillover to older children in the same household? Journal of Family and Economic Issues, 30, 412–427. doi:10.1007/s10834-009-9164-9.
Ver Ploeg, M., Breneman, V., Dutko, P., Williams, R., Snyder, S., Dicken, C., & Kaufman, P. (2012). Access to affordable and nutritious food: Updated estimates of distance to supermarkets using 2010 data. United States Department of Agriculture, Economic Research Service Report number 143. http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCQQFjAA&url=http%3A%2F%2Fwww.ers.usda.gov%2FersDownloadHandler.ashx%3Ffile%3D%2Fmedia%2F956784%2Ferr143.pdf&ei=3xkJU5v_DYTJygHKpIHICw&usg=AFQjCNGAQ1TfM59_t2IhwY8z-9SxYDM9VQ.
Weatherspoon, D., Oehmke, J., Coleman, M., Satimanon, T., & Weatherspoon, L. (2011). Price and income elasticities for fresh fruits and vegetables in an urban food desert. Social Science Research Network. doi:10.2139/ssrn.1788581. http://ssrn.com/abstract=1788581.
White-Means, S. I., & Rubin, R. M. (2004). Trade-offs between formal home health care and informal family caregiving. Journal of Family and Economic Issues, 25, 335–358. doi:10.1023/B:JEEI.0000039945.66633.ad.
Wright-Morton, L., &Blanchard, T. (2007). Starved for access: Life in rural America’s food deserts. Rural Realities, 1(4), 20–29. http://eatbettermovemore.org/SA/enact/neighborhood/documents/RuralRealitiesFoodDeserts1-4.pdf.
Acknowledgments
The authors would like to thank the survey participants, grocers, and store managers for their input. We would also like to express our gratitude to Mrs. Kristin Biskeborn for her support and trust. We also want to thank the staff and extension specialists at South Dakota State for their help to administrate the survey. We truly appreciate Mrs. Julie Abraham’s assistance in editing. Finally, we want to thank Ms. Devin Jacob for her input. This study was funded by the South Dakota Department of Health and the US Centers for Disease Control and Prevention.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chang, KL., Zastrow, M., Zdorovtsov, C. et al. Do SNAP and WIC Programs Encourage More Fruit and Vegetable Intake? A Household Survey in the Northern Great Plains. J Fam Econ Iss 36, 477–490 (2015). https://doi.org/10.1007/s10834-014-9412-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10834-014-9412-5