Literature DB >> 23811757

Nutritional policy changes in the supplemental nutrition assistance program: a microsimulation and cost-effectiveness analysis.

Sanjay Basu1,2,3,4, Hilary Seligman5, Jay Bhattacharya2,6.   

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
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.

Entities:  

Keywords:  cardiovascular disease; chronic disease; diabetes; food stamps; nutrition; obesity; soda tax; vegetable subsidy

Mesh:

Year:  2013        PMID: 23811757     DOI: 10.1177/0272989X13493971

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  24 in total

1.  Reducing added sugars in the food supply through a cap-and-trade approach.

Authors:  Sanjay Basu; Kristina Lewis
Journal:  Am J Public Health       Date:  2014-11-03       Impact factor: 9.308

2.  Implications of the Supplemental Nutrition Assistance Program Tax Exemption on Sugar-Sweetened Beverage Taxes.

Authors:  Jennifer L Pomeranz
Journal:  Am J Public Health       Date:  2015-09-17       Impact factor: 9.308

3.  Cost-Effectiveness of a US National Sugar-Sweetened Beverage Tax With a Multistakeholder Approach: Who Pays and Who Benefits.

Authors:  Parke Wilde; Yue Huang; Stephen Sy; Shafika Abrahams-Gessel; Thiago Veiga Jardim; Robert Paarlberg; Dariush Mozaffarian; Renata Micha; Thomas Gaziano
Journal:  Am J Public Health       Date:  2018-12-20       Impact factor: 9.308

4.  Support for Policies to Improve the Nutritional Impact of the Supplemental Nutrition Assistance Program in California.

Authors:  Cindy W Leung; Suzanne Ryan-Ibarra; Amanda Linares; Marta Induni; Sharon Sugerman; Michael W Long; Eric B Rimm; Walter C Willett
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

5.  Aligning Programs and Policies to Support Food Security and Public Health Goals in the United States.

Authors:  Hilary K Seligman; Seth A Berkowitz
Journal:  Annu Rev Public Health       Date:  2018-11-16       Impact factor: 21.981

6.  Health Warnings on Sugar-Sweetened Beverages: Simulation of Impacts on Diet and Obesity Among U.S. Adults.

Authors:  Anna H Grummon; Natalie R Smith; Shelley D Golden; Leah Frerichs; Lindsey Smith Taillie; Noel T Brewer
Journal:  Am J Prev Med       Date:  2019-10-17       Impact factor: 5.043

7.  Cardiometabolic Mortality by Supplemental Nutrition Assistance Program Participation and Eligibility in the United States.

Authors:  Zach Conrad; Colin D Rehm; Parke Wilde; Dariush Mozaffarian
Journal:  Am J Public Health       Date:  2017-01-19       Impact factor: 9.308

8.  Population Health Impact and Cost-Effectiveness of Community-Supported Agriculture Among Low-Income US Adults: A Microsimulation Analysis.

Authors:  Sanjay Basu; Jessica O'Neill; Edward Sayer; Maegan Petrie; Rochelle Bellin; Seth A Berkowitz
Journal:  Am J Public Health       Date:  2019-11-14       Impact factor: 9.308

9.  Socioeconomic status, food security, and dental caries in US children: mediation analyses of data from the National Health and Nutrition Examination Survey, 2007-2008.

Authors:  Donald L Chi; Erin E Masterson; Adam C Carle; Lloyd A Mancl; Susan E Coldwell
Journal:  Am J Public Health       Date:  2014-03-13       Impact factor: 9.308

10.  Health Center-Based Community-Supported Agriculture: An RCT.

Authors:  Seth A Berkowitz; Jessica O'Neill; Edward Sayer; Naysha N Shahid; Maegan Petrie; Sophie Schouboe; Megan Saraceno; Rochelle Bellin
Journal:  Am J Prev Med       Date:  2019-09-12       Impact factor: 5.043

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