Cost Effectiveness of Subsidizing Fruit and Vegetable Purchases Through the Supplemental Nutrition Assistance Program

Sung Eun Choi, Hilary Seligman, Sanjay Basu, Sung Eun Choi, Hilary Seligman, Sanjay Basu

Abstract

Introduction: A diet high in fruits and vegetables (FV) is associated with reduced risk of chronic disease. One strategy to incentivize FV consumption among low-income households is to make them more affordable through the Supplemental Nutrition Assistance Program (SNAP). This study aims to identify the cost effectiveness of subsidizing FV purchases among the one in seven Americans who participate in SNAP.

Methods: A cost-effectiveness analysis was conducted from a societal perspective to estimate lifetime costs and health gains associated with subsidizing FV purchases. A stochastic microsimulation model of obesity, type 2 diabetes, myocardial infarction, and stroke in the 2015 U.S. population was used. Model parameters were based on nationally representative SNAP participation and dietary consumption data from the National Health and Nutrition Examination Survey (2003-2012), and data from a randomized trial of FV subsidies among SNAP users.

Results: Despite cycling of participants in and out of SNAP, expanding an FV subsidy nationwide through SNAP would be expected to reduce incidence of type 2 diabetes by 1.7% (95% CI=1.2, 2.2), myocardial infarction by 1.4% (95% CI=0.9, 1.9), stroke by 1.2% (95% CI=0.8, 1.6), and obesity by 0.2% (95% CI=0.1, 0.3), and be cost saving from a societal perspective. The saved costs would be largely attributable to long-term reductions in type 2 diabetes and cardiovascular diseases.

Conclusions: The model suggests nationwide SNAP FV subsidies would reduce chronic disease morbidity, mortality, and costs over long time horizons that are unlikely to be observed in short-term community-based trials.

Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Figures

Figure 1
Figure 1
Model schematic. SBP, systolic blood pressure; TC, total cholesterol; HBP TX, hypertension treatment status; HDL-C, high-density lipoprotein cholesterol; MI, myocardial infarction; CVD, cardiovascular disease; FV, fruit and vegetable
Figure 2
Figure 2
Projected reduction in incidence of diseases by gender and race/ethnicity due to a 30% subsidy on SNAP purchases of fruits and vegetables in the SNAP population. MI, myocardial infarction; SNAP, Supplemental Nutrition Assistance Program

References

    1. Office of Disease Prevention and Health Promotion; [Accessed February 2, 2016]. Healthy People 2020 Objectives- Nutrition and Weight Status. .
    1. Lock K, Pomerleau J, Causer L, McKee M. WHO; [Accessed May 1, 2016]. Chapter 9 Low fruit and vegetable consumption. .
    1. U.S. Department of Agriculture. Dietary Guidelines for Americans. 2010 .
    1. Coleman-Jensen A, Rabbitt M, Gregory C, Singh A. USDA ERS; [Accessed February 22, 2016]. Household Food Security in the United States in 2014. .
    1. U.S. Department of Agriculture. Healthy Incentives Pilot (HIP) Early Implementation Report. [Accessed May 2, 2016];2013 .
    1. Bartlett S, Klerman J, Olsho L, et al. U.S. Department of Agriculture; 2014. [Accessed May 2, 2016]. Evaluation of the Healthy Incentives Pilot (HIP): Final Report. .
    1. Olsho LE, Klerman JA, Wilde PE, Bartlett S. Financial incentives increase fruit and vegetable intake among Supplemental Nutrition Assistance Program participants: a randomized controlled trial of the USDA Healthy Incentives Pilot. Am J Clin Nutr. 2016;104(2):423–435. .
    1. Herman DR, Harrison GG, Afifi AA, Jenks E. Effect of a targeted subsidy on intake of fruits and vegetables among low-income women in the Special Supplemental Nutrition Program for Women, Infants, and Children. Am J Public Health. 2008;98(1):98–105. .
    1. An R. Nationwide expansion of a financial incentive program on fruit and vegetable purchases among Supplemental Nutrition Assistance Program participants: A cost-effectiveness analysis. Soc Sci Med. 2015;147:80–88. .
    1. Choi SE, Brandeau ML, Basu S. Expansion of the National Salt Reduction Initiative: A Mathematical Model of Benefits and Risks of Population-Level Sodium Reduction. Med Decis Making. 2016;36(1):72–85. .
    1. Basu S, Seligman HK, Gardner C, Bhattacharya J. Ending SNAP Subsidies For Sugar-Sweetened Beverages Could Reduce Obesity And Type 2 Diabetes. Health Aff (Millwood) 2014;33(6):1032–1039. .
    1. Ramsey S, Willke R, Briggs A, et al. Good research practices for cost-effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report. Value Health. 2005;8(5):521–533. .
    1. Weinstein MC, Siegel JE, Gold MR, Kamlet MS, Russell LB. Recommendations of the Panel on Cost-effectiveness in Health and Medicine. JAMA. 1996;276(15):1253–1258. .
    1. WHO. WHO Guide to Cost-effectiveness Analysis. [Accessed February 2, 2016];2003 .
    1. CDC. Atlanta, GA: 2014. [Accessed February 22, 2016]. National Health and Nutrition Examination Survey, 2008-2012. .
    1. U.S. Department of Agriculture. Dynamics of Supplemental Nutrition Assistance Program Participation from 2008 to 2012. [Accessed May 1, 2016]; .
    1. National Center for Health Statistics. National Center for Health Statistics Data Access. [Accessed February 28, 2016];2015 .
    1. Goff DC, Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl 2):S49–73. .
    1. National Center for Health Statistics. Atlanta, GA: 2013. [Accessed February 2, 2016]. Continuous NHANES Web Tutorial. .
    1. U.S. Department of Agriculture. Requirements and Specifications for SNAP HIP Fruit and Vegetable Purchases. [Accessed May 1, 2016]; .
    1. Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk profiles. Am Heart J. 1991;121(1 Pt 2):293–298. .
    1. Mozaffarian D, Benjamin EJ, Go AS, et al. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015;131(4):e29–322. .
    1. National Heart Lung and Blood Institute. Incidence and prevalence: Chart book on cardiovascular and lung diseases, 2006. [Accessed May 1, 2016];2009 .
    1. CDC. Incidence of diagnosed diabetes per 1,000 population aged 18–79 years, 1980–2011. [Accessed April 30, 2016];2012 .
    1. Smith-Spangler CM, Juusola JL, Enns EA, Owens DK, Garber AM. Population strategies to decrease sodium intake and the burden of cardiovascular disease: a cost-effectiveness analysis. Ann Intern Med. 2010;152(8):481–487. .
    1. CDC. National Center for Health Statistics; United States Life Tables. .
    1. Hall KD, Butte NF, Swinburn BA, Chow CC. Dynamics of childhood growth and obesity: development and validation of a quantitative mathematical model. Lancet Diabetes Endocrinol. 2013;1(2):97–105. .
    1. Hall KD, Jordan PN. Modeling weight-loss maintenance to help prevent body weight regain. Am J Clin Nutr. 2008;88(6):1495–1503. .
    1. Hall KD, Sacks G, Chandramohan D, et al. Quantification of the effect of energy imbalance on bodyweight. Lancet. 2011;378(9793):826–837. .
    1. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. Am J Epidemiol. 1989;129(4):687–702. .
    1. Broderick J, Brott T, Kothari R, et al. The Greater Cincinnati/Northern Kentucky Stroke Study: preliminary first-ever and total incidence rates of stroke among blacks. Stroke. 1998;29(2):415–421. .
    1. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health. 2009;9:88. .
    1. Huxley RR, Filion KB, Konety S, Alonso A. Meta-analysis of cohort and case-control studies of type 2 diabetes mellitus and risk of atrial fibrillation. Am J Cardiol. 2011;108(1):56–62. .
    1. Li M, Fan Y, Zhang X, Hou W, Tang Z. Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies. BMJ Open. 2014;4(11):e005497. .
    1. Nwaneri C, Cooper H, Bowen-Jones D. Mortality in Type 2 Diabetes Mellitus: Magnitude of the Evidence From a Systematic Review and Meta-analysis. Br J Diabetes Vasc Dis. 13(4):192–207.
    1. U.S. Department of Agriculture. Food and Nutrition Service, 2013 Explanatory Notes. 2013 .
    1. U.S. Department of Agriculture. Quarterly Food-at-Home Price Database. [Accessed May 1, 2016]; .
    1. Agency for Healthcare Research and Quality. Disparities in Health Care Quality Among Racial and Ethnic Minority Groups. 2010 .
    1. Institute for Health Metrics and Evaluation. Global Burden of Disease Study 2010 (GBD 2010) Disability Weights. [Accessed February 22, 2016];2010 .
    1. Bureau of Labor Statistics. Consumer Price Index (CPI) Inflation Calculator. [Accessed January 5, 2016]; .
    1. U.S. Department of Agriculture. Supplemental Nutrition Assitance Program (SNAP): National Level Annual Summary. 2015 .
    1. Briggs AH, Weinstein MC, Fenwick EA, et al. Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group-6. Med Decis Making. 2012;32(5):722–732. .
    1. Rahmandad H, Sterman JD. Reporting guidelines for simulation-based research in social sciences. Syst Dyn Rev. 2012;28(4):396–411. .
    1. Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28–e292. .
    1. National Center for Health Statistics. Heart disease facts. [Accessed May 1, 2016];2014 .
    1. National Center for Health Statistics. Stroke facts. [Accessed May 1, 2016];2014 .
    1. National Center for Health Statistics. Crude and Age-Adjusted Incidence of Diagnosed Diabetes per 1,000 Population Aged 18-79 Years, United States, 1980-2014. 2014 .
    1. Lewis KH, Basu S. Epidemiology of Obesity in the United States. In: Ahima RS, editor. Metabolic Syndrome: A Comprehensive Textbook. Cham: Springer International Publishing; 2016. pp. 13–31. .
    1. Hung HC, Joshipura KJ, Jiang R, et al. Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst. 2004;96(21):1577–1584. .
    1. Wang X, Ouyang Y, Liu J, et al. Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose-response meta-analysis of prospective cohort studies. BMJ. 2014;349:g4490. .
    1. Howard VJ. Reasons underlying racial differences in stroke incidence and mortality. Stroke. 2013;44(6 Suppl 1):S126–128. .
    1. Ioannidis JP. Implausible results in human nutrition research. BMJ. 2013;347:f6698. .
    1. Nwaneri CC, H, Bowen-Jones D. Mortality in Type 2 Diabetes Mellitus. Br J Diabetes Vasc Dis. 2013;13(4):192–207. .
    1. Schoenfeld JD, Ioannidis JPA. Is everything we eat associated with cancer? A systematic cookbook review. Am J Clin Nutr. 2013;97(1):127–134. .
    1. Bertoia ML, Mukamal KJ, Cahill LE, et al. Changes in Intake of Fruits and Vegetables and Weight Change in United States Men and Women Followed for Up to 24 Years: Analysis from Three Prospective Cohort Studies. PLoS Med. 2015;12(9):e1001878. .
    1. Kreider B, Pepper JV, Gundersen C, Jolliffe D. Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported. J Am Stat Assoc. 2012;107(499):958–975. .
    1. Cook NR, Ridker PM. Further insight into the cardiovascular risk calculator: the roles of statins, revascularizations, and underascertainment in the Women's Health Study. JAMA Intern Med. 2014;174(12):1964–1971. .
    1. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R Prospective Studies C. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360(9349):1903–1913. .
    1. NHLBI. Incidence and Prevalence Chart Book on Cardiovascular and Lung Diseases, 2006. 2009 .
    1. National Cancer Institute. Surveillance, Epidemiology, and End Results (SEER) Program: Cancer Statistics Review (CSR) 1975-2011. [Accessed January 20, 2016]; .

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