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Nutritional Policy Changes in the Supplemental Nutrition Assistance Program

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  • Sanjay Basu
  • Hilary Seligman
  • Jay Bhattacharya

Abstract

Background. Some experts have proposed limiting the use of Supplemental Nutrition Assistance Program (SNAP) benefits, for calorie-dense foods or subsidizing SNAP purchases of healthier foods. Objective. To estimate health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP. Design. Microsimulation. Data Sources. National Health and Nutrition Examination Survey, US Department of Agriculture Quarterly Food-at-Home Price Database, and SNAP program data. Target Population : US adults aged 25 to 64 y. Time Horizon. 10 y. Perspective. Governmental. Outcome Measures. Incremental costs, quality-adjusted life-years (QALYs), body mass index, Alternative Healthy Eating Index, Food Security Score, diabetes person-years, and deaths from myocardial infarctions (MIs) and strokes. Results of Base-Case Analysis. Banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A penny-per-ounce tax on SSBs purchased with SNAP dollars would produce higher cost savings due to tax revenues but avert fewer chronic disease deaths. However, some SNAP participants are likely to preferentially purchase SSBs through their disposable income, indirectly reducing their food security. A 30% produce subsidy would be expected to avert 39,000 diabetes person-years and 4600 cardiovascular deaths over 10 y without effects on food security. Results of Sensitivity Analysis. Results are sensitive to the intake elasticities of SSBs and produce. Limitations. Input data did not provide information on heterogeneity in response to price changes within the SNAP-using population. Conclusions. SNAP restrictions on SSBs could lower chronic disease mortality, but further testing should examine indirect effects on disposable income and food security. Subsidizing produce could confer fewer benefits or risks but at higher cost.

Suggested Citation

  • Sanjay Basu & Hilary Seligman & Jay Bhattacharya, 2013. "Nutritional Policy Changes in the Supplemental Nutrition Assistance Program," Medical Decision Making, , vol. 33(7), pages 937-948, October.
  • Handle: RePEc:sae:medema:v:33:y:2013:i:7:p:937-948
    DOI: 10.1177/0272989X13493971
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    References listed on IDEAS

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    1. Smith, Travis A. & Biing-Hwan, Lin & Lee, Jonq-Ying, 2010. "Taxing Caloric Sweetened Beverages: Potential Effects on Beverage Consumption, Calorie Intake, and Obesity," Economic Research Report 95465, United States Department of Agriculture, Economic Research Service.
    2. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    3. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret & Carlson, Steven, 2011. "Household Food Security in the United States in 2010: Statistical Supplement," Administrative Publications 292116, United States Department of Agriculture, Economic Research Service.
    4. Helen Eyles & Cliona Ni Mhurchu & Nhung Nghiem & Tony Blakely, 2012. "Food Pricing Strategies, Population Diets, and Non-Communicable Disease: A Systematic Review of Simulation Studies," PLOS Medicine, Public Library of Science, vol. 9(12), pages 1-22, December.
    5. Biing‐Hwan Lin & Steven T. Yen & Diansheng Dong & David M. Smallwood, 2010. "Economic Incentives For Dietary Improvement Among Food Stamp Recipients," Contemporary Economic Policy, Western Economic Association International, vol. 28(4), pages 524-536, October.
    6. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2011. "Household Food Security in the United States in 2011," Economic Research Report 134715, United States Department of Agriculture, Economic Research Service.
    7. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2011. "Household Food Security in the United States in 2010," Economic Research Report 118021, United States Department of Agriculture, Economic Research Service.
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    2. Alyssa J. Moran & Yuxuan Gu & Sasha Clynes & Attia Goheer & Christina A. Roberto & Anne Palmer, 2020. "Associations between Governmental Policies to Improve the Nutritional Quality of Supermarket Purchases and Individual, Retailer, and Community Health Outcomes: An Integrative Review," IJERPH, MDPI, vol. 17(20), pages 1-23, October.
    3. Rupendra N Shrestha & Deborah Schofield & Melanie J B Zeppel & Michelle M Cunich & Robert Tanton & Simon J Kelly & Lennert Veerman & Megan E Passey, 2018. "Care&WorkMOD: An Australian Microsimulation Model Projecting the Economic Impacts of Early Retirement in Informal Carers," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 78-99.
    4. Jessica Aschemann-Witzel & Tino Bech-Larsen & Sara Capacci, 2016. "Do Target Groups Appreciate Being Targeted? An Exploration of Healthy Eating Policy Acceptance," Journal of Consumer Policy, Springer, vol. 39(3), pages 285-306, September.

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