Sugar sweetened beverage restriction or fruit and vegetable purchase incentive in Supplemental Nutrition Assistance Program (SNAP): Participant’s voice and choice behavior

References

• United States Department of Agriculture Food and Nutrition Service. SNAP data tables. https://www.fns.usda.gov/pd/supplemental-nutrition-assistance-program-snap. Published 2022. Accessed May 16, 2022.
   Google Scholar
• United States Department of Agriculture. Supplemental Nutrition Assistance Program (SNAP). https://www.fns.usda.gov/snap/facts. Published 2019. Accessed April 23, 2022.
   Google Scholar
• Gleason S, Hansen D, Wakar B. Indicators of diet quality, nutrition, and health for Americans by program participation status, 2011–2016: SNAP peport. Alexandria, VA; 2021. www.fns.usda.gov/research-andanalysis.
   Google Scholar
• Grummon AH, Taillie LS. Nutritional profile of Supplemental Nutrition Assistance Program household food and beverage purchases. Am J Clin Nutr. 2017;105(6):1433–1442. doi:10.3945/ajcn.116.147173.
   PubMed Web of Science ®Google Scholar
• Hu FB, Malik VS. Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol Behav. 2010;100(1):47–54. doi:10.1016/j.physbeh.2010.01.036.
   PubMed Web of Science ®Google Scholar
• Bailey R, Fulgoni V, Cowan A, Gaine P. Sources of added sugars in young children, adolescents, and adults with low and high intakes of added sugars. Nutrients. 2018;10(1):102. doi:10.3390/nu10010102.
   PubMed Web of Science ®Google Scholar
• Gustafson A. Shopping pattern and food purchase differences among Supplemental Nutrition Assistance Program (SNAP) households and non-supplemental nutrition assistance program households in the United States. Prev Med Reports. 2017;7:152–157. doi:10.1016/j.pmedr.2017.06.005.
   PubMedGoogle Scholar
• Cordain L, Eaton SB, Sebastian A, et al. Origins and evolution of the Western diet: health implications for the 21st century. Am J Clin Nutr. 2005;81(2):341–354. doi:10.1093/ajcn.81.2.341.
   PubMed Web of Science ®Google Scholar
• Adler NE, Boyce T, Chesney MA, et al. Socioeconomic status and health: the challenge of the gradient. Am Psychol. 1994;49(1):15–24. doi:10.1037/0003-066X.49.1.15.
   PubMed Web of Science ®Google Scholar
• Braveman PA, Cubbin C, Egerter S, Williams DR, Pamuk E. Socioeconomic disparities in health in the United States: what the patterns tell us. Am J Public Health. 2010;100(SUPPL. 1):S186–96. doi:10.2105/AJPH.2009.166082.
   PubMed Web of Science ®Google Scholar
• Andreyeva T, Tripp AS, Schwartz MB. Dietary quality of Americans by supplemental nutrition assistance program participation status: a systematic review. Am J Prev Med. 2015;49(4):594–604. doi:10.1016/j.amepre.2015.04.035.
   PubMed Web of Science ®Google Scholar
• U.S. Department of Agriculture. Thrifty Food Plan, 2021. FNS-916. August 2021. https://FNS.usda.gov/TFP
   Google Scholar
• Bartlett S, Klerman J, Olsho L, et al. Evaluation of the Healthy Incentives Pilot (HIP): final Report. Cambridge, MA; 2014. https://fns-prod.azureedge.net/sites/default/files/ops/HIP-Final.pdf.
   Google Scholar
• United States Department of Agriculture. Agriculture Improvement Act of 2018: highlights and Implications. https://www.ers.usda.gov/agriculture-improvement-act-of-2018-highlights-and-implications/. Published 2019. Accessed November 5, 2019.
   Google Scholar
• McMinimy MA, Angadjivand S, Aussenberg RA, et al. The 2018 Farm Bill (P.L. 115-334): summary and Side-by-SideComparison. Washington, D.C; 2019. https://crsreports.congress.gov/product/pdf/R/R45525.
   Google Scholar
• Schwartz MB. Moving beyond the debate over restricting sugary drinks in the supplemental nutrition assistance program. Am J Prev Med. 2017;52(2):S199–205. doi:10.1016/j.amepre.2016.09.022.
   PubMed Web of Science ®Google Scholar
• Long MW, Leung CW, Cheung LWY, Blumenthal SJ, Willett WC. Public support for policies to improve the nutritional impact of the Supplemental Nutrition Assistance Program (SNAP). Public Health Nutr. 2014;17(1):219–224. doi:10.1017/S136898001200506X.
   PubMed Web of Science ®Google Scholar
• Parks C, Calloway E, Chiappone A, Fricke H, Stern K, Yaroch AL. Perceptions of SNAP policies among food pantry clients in the Midwest: a comparison between SNAP and Non-SNAP Participants. J Hunger Environ Nutr. 2019;14(1–2):82–97. doi:10.1080/19320248.2018.1549519.
   Web of Science ®Google Scholar
• Kass N, Hecht K, Paul A, Birnbach K. Ethics and obesity prevention: ethical considerations in 3 approaches to reducing consumption of sugar-sweetened beverages. Am J Public Health. 2014;104(5):787–795. doi:10.2105/AJPH.2013.301708.
   PubMed Web of Science ®Google Scholar
• Shenkin JD, Jacobson MF. Using the Food Stamp Program and Other Methods to Promote Healthy Diets for Low-Income Consumers. Am J Public Health. 2010;100(9):1562–1564. doi:10.2105/AJPH.2010.198549.
   PubMed Web of Science ®Google Scholar
• Barnhill A. Impact and ethics of excluding sweetened beverages from the SNAP program. Am J Public Health. 2011;101(11):2037–2043. doi:10.2105/AJPH.2011.300225.
   PubMed Web of Science ®Google Scholar
• Gaines-Turner T, Simmons JC, Chilton M. Recommendations from SNAP participants to improve wages and end stigma. Am J Public Health. 2019;109(12):1664–1667. doi:10.2105/AJPH.2019.305362.
   PubMed Web of Science ®Google Scholar
• Valizadeh P, Popkin BM, Ng SW. Linking a sugar-sweetened beverage tax with fruit and vegetable subsidies: a simulation analysis of the impact on the poor. Am J Clin Nutr. 2022;115(1):244–255. doi:10.1093/ajcn/nqab330.
   PubMed Web of Science ®Google Scholar
• Valizadeh P, Ng SW. Would a National sugar-sweetened beverage tax in the United States be well targeted? Am J Agric Econ. 2021;103(3):961–986. doi:10.1111/ajae.12190.
   PubMed Web of Science ®Google Scholar
• Choi SE, Wright DR, Bleich SN. Impact of restricting sugar-sweetened beverages from the Supplemental Nutrition Assistance Program on children’s health. Am J Prev Med. 2021;60(2):276–284. doi:10.1016/j.amepre.2020.08.023.
   PubMed Web of Science ®Google Scholar
• Long MW, Polacsek M, Bruno P, et al. Cost-effectiveness analysis and stakeholder evaluation of 2 obesity prevention policies in Maine, US. J Nutr Educ Behav. 2019;51(10):1177–1187. doi:10.1016/j.jneb.2019.07.005.
   PubMed Web of Science ®Google Scholar
• Ver PM, Zhen C Changes in SNAP Benefit Levels and Food Spending and Diet Quality: Simulations from the National Household Food Acquisition and Purchase Survey. Washington, DC; 2022. https://www.cbpp.org/sites/default/files/5-12-22fa.pdf.
   Google Scholar
• Leung CW, Musicus AA, Willett WC, Rimm EB. Improving the nutritional impact of the Supplemental Nutrition Assistance Program. Am J Prev Med. 2017;52(2):S193–198. doi:10.1016/j.amepre.2016.07.024.
   PubMed Web of Science ®Google Scholar
• Leung CW, Ryan-Ibarra S, Linares A, et al. Support for policies to improve the nutritional impact of the Supplemental Nutrition Assistance Program in California. Am J Public Health. 2015;105(8):1576–1580. doi:10.2105/AJPH.2015.302672.
   PubMed Web of Science ®Google Scholar
• Rydell SA, Turner RM, Lasswell TA, et al. Participant satisfaction with a food benefit program with restrictions and incentives. J Acad Nutr Diet. 2018;118(2):294–300. doi:10.1016/j.jand.2017.08.010.
   PubMed Web of Science ®Google Scholar
• Gearing M, Dixit-Joshi S, May L Barriers That Constrain the Adequacy of Supplemental Nutrition Assistance Program (SNAP) Allotments: Survey Findings. Alexandria, VA; 2021. https://fns-prod.azureedge.us/sites/default/files/resource-files/SNAP-Barriers-SurveyFindings.pdf.
   Google Scholar
• French SA, Rydell SA, Mitchell NR, Michael Oakes J, Elbel B, Harnack L. Financial incentives and purchase restrictions in a food benefit program affect the types of foods and beverages purchased: results from a randomized trial. Int J Behav Nutr Phys Act. 2017;14(1):127. doi:10.1186/s12966-017-0585-9.
   PubMedGoogle Scholar
• Harnack L, Oakes JM, Elbel B, Beatty T, Rydell S, French S. Effects of subsidies and prohibitions on nutrition in a food benefit program: a randomized clinical trial. JAMA Intern Med. 2016;176(11):1610–1618. doi:10.1001/jamainternmed.2016.5633.
   PubMed Web of Science ®Google Scholar
• Chiappone A, Parks CA, Calloway E, Fricke HE, Stern K, Yaroch AL. Perceptions and experiences with SNAP and potential policies: viewpoint from SNAP participants. J Hunger Environ Nutr. 2019;14(1–2):98–109. doi:10.1080/19320248.2018.1512927.
   Web of Science ®Google Scholar
• De Bekker-Grob EW, Ryan M, Gerard K. Discrete choice experiments in health economics: a review of the literature. Health Econ. 2012;21(2):145–172. doi:10.1002/hec.1697.
   PubMed Web of Science ®Google Scholar
• Garasky S, Mbwana K, Romualdo A, Tenaglio A, Roy M. Foods typically purchased by Supplemental Nutrition Assistance Program (SNAP) Households. Prepared by IMPAQ International, LLC for USDA, Food and Nutrition Service, November 2016.
   Google Scholar
• Lewis MM. Meal patterns of low-income adults participating in the Supplemental Nutrition Assistance Program Education (SNAP-Ed) in Georgia. 2016.
   Google Scholar
• Farley TA, Rice J, Bodor JN, Cohen DA, Bluthenthal RN, Rose D. Measuring the food environment: shelf space of fruits, vegetables, and snack foods in stores. J Urban Heal. 2009;86(5):672–682. doi:10.1007/s11524-009-9390-3.
   PubMed Web of Science ®Google Scholar
• United States Department of Agriculture. Agricultural act of 2014: highlights and Implications. https://www.ers.usda.gov/agricultural-act-of-2014-highlights-and-implications/. Published 2019. Accessed October 23, 2019.
   Google Scholar
• Shaw SC, Ntani G, Baird J, Vogel CA. A systematic review of the influences of food store product placement on dietary-related outcomes. Nutr Rev. 2020;78(12). doi:10.1093/nutrit/nuaa024.
   PubMed Web of Science ®Google Scholar
• United States Department of Agriculture. Income Eligibility Standards. https://www.fns.usda.gov/snap/income-eligibility-standards. Published 2018. Accessed October 24, 2019.
   Google Scholar
• Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13(1):117. doi:10.1186/1471-2288-13-117.
   PubMed Web of Science ®Google Scholar
• Creswell JW, Plano-Clark VL. Choosing a mixed methods design. Des Conduct Mix Method Res. 2011;2:53–106.
   Google Scholar
• Rossman GB, Wilson BL. Numbers and words. Eval Rev. 1985;9(5):627–643. doi:10.1177/0193841X8500900505.
   Web of Science ®Google Scholar
• Tonkin-Crine S, Anthierens S, Hood K, et al. Discrepancies between qualitative and quantitative evaluation of randomised controlled trial results: achieving clarity through mixed methods triangulation. Implement Sci. 2015;11(1):66. doi:10.1186/s13012-016-0436-0.
   Google Scholar
• O’cathain A, Murphy E, Nicholl J. Three techniques for integrating data in mixed methods studies. BMJ. 2010;341(sep17 1):c4587–c4587. doi:10.1136/bmj.c4587.
   PubMed Web of Science ®Google Scholar
• Brooks K, Lusk JL. Stated and revealed preferences for organic and cloned milk: combining choice experiment and scanner data. Am J Agric Econ. 2010;92(4):1229–1241. doi:10.1093/ajae/aaq054.
   Web of Science ®Google Scholar
• Just DR, Hanks AS. The hidden cost of regulation: emotional responses to command and Control. Am J Agric Econ. 2015;97(5):1385–1399. doi:10.1093/ajae/aav016.
   Web of Science ®Google Scholar
• Franckle RL, Polacsek M, Bleich SN, et al. Support for supplemental nutrition assistance program (SNAP) policy alternatives among US adults, 2018. Am J Public Health. 2019;109(7):993–995. doi:10.2105/AJPH.2019.305112.
   PubMed Web of Science ®Google Scholar
• Blumenthal SJ, Hoffnagle EE, Leung CW, et al. Strategies to improve the dietary quality of Supplemental Nutrition Assistance Program (SNAP) beneficiaries: an assessment of stakeholder opinions. Public Health Nutr. 2013;17(12):2824–2833. doi:10.1017/S1368980013002942.
   PubMed Web of Science ®Google Scholar
• Choi SE, Seligman H, Basu S. Cost effectiveness of subsidizing fruit and vegetable purchases through the Supplemental Nutrition Assistance Program. Am J Prev Med. 2017;52(5):e147–155. doi:10.1016/j.amepre.2016.12.013.
   PubMed Web of Science ®Google Scholar
• Chrisinger BW. Ethical imperatives against item restriction in the Supplemental Nutrition Assistance Program. Prev Med (Baltim). 2017;100:56–60. doi:10.1016/j.ypmed.2017.04.009.
   Web of Science ®Google Scholar
• Todd J, Ver Ploeg M. Restricting Sugar-Sweetened Beverages from SNAP Purchases Not Likely to Lower Consumption. Amber Waves. 2015;2.
   Google Scholar
• Cuffey J, Beatty TK, Harnack L. The potential impact of Supplemental Nutrition Assistance Program (SNAP) restrictions on expenditures: a systematic review. Public Health Nutr. 2016;19(17):3216–3231. doi:10.1017/S1368980015003511.
   PubMed Web of Science ®Google Scholar
• Mozaffarian D, Liu J, Sy S, et al. Cost-effectiveness of financial incentives and disincentives for improving food purchases and health through the US Supplemental Nutrition Assistance Program (SNAP): a microsimulation study. Basu S, ed PLoS Med. 2018;15(10)e1002661.10.1371/journal.pmed.1002661
   PubMed Web of Science ®Google Scholar
• Debnam J, Just DR. Endogenous responses to paternalism: examining psychological reactance in the lab and the field. Unpublished Working Paper. 2017.
   Google Scholar
• Basu S, Seligman H, Bhattacharya J. Nutritional policy changes in the supplemental nutrition assistance program: a microsimulation and cost-effectiveness analysis. Med Decis Mak. 2013;33(7):937–948. doi:10.1177/0272989X13493971.
   PubMed Web of Science ®Google Scholar
• Basu S, Seligman HK, Gardner C, Bhattacharya J. Ending SNAP subsidies for sugar-sweetened beverages could reduce obesity and type 2 diabetes. Health Aff. 2014;33(6):1032–1039. doi:10.1377/hlthaff.2013.1246.
   Web of Science ®Google Scholar
• Verghese A, Raber M, Sharma S. Interventions targeting diet quality of Supplemental Nutrition Assistance Program (SNAP) participants: a scoping review. Prev Med (Baltim). 2019;119:77–86. doi:10.1016/j.ypmed.2018.12.006.
   Web of Science ®Google Scholar
• Jenkins DG, Quintana-Ascencio PF, Han G. A solution to minimum sample size for regressions. Han G, ed. PLoS One. 2020;15(2):e0229345. doi:10.1371/journal.pone.0229345.
   PubMed Web of Science ®Google Scholar
• Leung CW, Wolfson JA. Perspectives from Supplemental Nutrition Assistance Program Participants on improving SNAP policy. Heal Equity. 2019;3(1):81–85. doi:10.1089/heq.2018.0094.
   PubMedGoogle Scholar