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Research Article| Volume 55, ISSUE 2, P167-177, August 2018

Nutritional Profile of Purchases by Store Type: Disparities by Income and Food Program Participation

  • Lindsey Smith Taillie
    Correspondence
    Address correspondence to: Lindsey Smith Taillie, PhD, MPH, Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 123 W. Franklin Street, CB 8120, Chapel Hill NC 27516.
    Affiliations
    Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

    Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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  • Anna H. Grummon
    Affiliations
    Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

    Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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  • Donna R. Miles
    Affiliations
    Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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      Introduction

      Policymakers have focused on the food retail environment for improving the dietary quality for Supplemental Nutrition Assistance Program (SNAP) participants. Yet little is known about where SNAP households make food and beverage purchases or how purchases may vary by store type, SNAP participation, and income level. The objective of this study was to examine the association between SNAP-income status (participant, income-eligible non-participant, higher-income non-participant) and healthfulness of household purchases across store types.

      Methods

      Data included household packaged food purchases (N=76,458 unique households) from 2010 to 2014, analyzed in 2017 with multivariable adjusted models to examine the nutritional profile of purchases by store type (grocery, convenience, big box, and other stores) for SNAP participating households, income-eligible non-participants, and higher-income non-participants. Outcomes included volume and nutrients (kilocalories, total sugar, saturated fat, and sodium) and calories from food groups.

      Results

      All households purchased the greatest volume of foods and beverages from grocery stores, followed by big-box and other stores, with relatively little purchased from convenience stores. The largest differences between SNAP participants and non-participants were observed at grocery stores and big-box stores, where SNAP households purchased more calories from starchy vegetables, processed meat, desserts, sweeteners and toppings, total junk food, sugar-sweetened beverages, and milk, than income-eligible and higher-income SNAP non-participants. SNAP purchases also had considerably higher sodium density. Across store types, the nutritional profile of income-eligible non-participants’ purchases was similar to higher-income households’ purchases.

      Conclusions

      More research is needed to identify strategies to improve the nutritional profile of purchases among SNAP households.
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      References

        • U.S. Department of Agriculture Food and Nutrition Services
        Supplemental Nutrition Assistance Program Participation and Costs FY14 through FY17 National View Summary.
        (February 3) U.S. Department of Agriculture, Washington, DC2017
      1. Garasky S, Mbwana K, Romualdo A, Tenaglio A, Roy M. Foods Typically Purchased by SNAP Households. Prepared by IMPAQ International, LLC for the United States Department of Agriculture Food and Nutrition Service. https://fns-prod.azureedge.net/sites/default/files/ops/SNAPFoodsTypicallyPurchased.pdf. Published November 2016. Accessed May 12, 2018.

        • Andreyeva T.
        • Luedicke J.
        • Henderson K.E.
        • Tripp A.S.
        Grocery store beverage choices by participants in federal food assistance and nutrition programs.
        Am J Prev Med. 2012; 43: 411-418https://doi.org/10.1016/j.amepre.2012.06.015
        • Grummon A.
        • Taillie L.
        Nutritional profile of Supplemental Nutrition Assistance Program household food and beverage purchases.
        Am J Clin Nutr. 2017; 105: 1433-1442https://doi.org/10.3945/ajcn.116.147173
        • Franckle R.L.
        • Moran A.
        • Hou T.
        • et al.
        Transactions at a northeastern supermarket chain: differences by Supplemental Nutrition Assistance Program use.
        Am J Prev Med. 2017; 53: e131-e138https://doi.org/10.1016/j.amepre.2017.06.019
        • Hastings J.S.
        • Shapiro J.M.
        How are SNAP benefits spent? Evidence from a retail panel.
        NBER Work Pap Ser. 2017; : 23112https://doi.org/10.3386/w23112
        • Leung C.W.
        • Ding E.L.
        • Catalano P.J.
        • Villamor E.
        • Rimm E.B.
        • Willett W.C.
        Dietary intake and dietary quality of low-income adults in the Supplemental Nutrition Assistance Program.
        Am J Clin Nutr. 2012; 96: 977-988https://doi.org/10.3945/ajcn.112.040014
        • Andreyeva T.
        • Tripp A.S.
        • Schwartz M.B.
        Dietary quality of Americans by Supplemental Nutrition Assistance Program participation status: a systematic review.
        Am J Prev Med. 2015; 49: 594-604https://doi.org/10.1016/j.amepre.2015.04.035
        • Leung C.W.
        • Willett W.C.
        • Ding E.L.
        Low-income Supplemental Nutrition Assistance Program participation is related to adiposity and metabolic risk factors.
        Am J Clin Nutr. 2012; 95: 17-24https://doi.org/10.3945/ajcn.111.012294
        • Larson N.I.
        • Story M.T.
        • Nelson M.C.
        Neighborhood environments: disparities in access to healthy foods in the U.S.
        Am J Prev Med. 2009; 36: 74-81https://doi.org/10.1016/j.amepre.2008.09.025
        • Morland K.B.
        • Evenson K.R.
        Obesity prevalence and the local food environment.
        Health Place. 2009; 15: 491-495https://doi.org/10.1016/j.healthplace.2008.09.004
        • Cummins S.
        • Flint E.
        • Matthews S.A.
        New neighborhood grocery store increased awareness of food access but did not alter dietary habits or obesity.
        Health Aff (Millwood). 2014; 33: 283-291https://doi.org/10.1377/hlthaff.2013.0512
        • Dubowitz T.
        • Ghosh-Dastidar M.
        • Cohen D.A.
        • et al.
        Diet and perceptions change with supermarket introduction in a food desert, but not because of supermarket use..
        Health Aff (Millwood). 2015; 34: 1858https://doi.org/10.1377/hlthaff.2015.0667
        • Elbel B.
        • Moran A.
        • Dixon L.B.
        • et al.
        Assessment of a government-subsidized supermarket in a high-need area on household food availability and children’s dietary intakes.
        Public Health Nutr. 2015; 18: 2881-2890https://doi.org/10.1017/S1368980015000282
        • Handbury J.
        • Rahkovsky I.
        • Schnell M.
        Is the focus on food deserts fruitless? Retail access and food purchases across the socioeconomic spectrum.
        NBER Work Pap Ser. 2015; : 21126https://doi.org/10.3386/w21126
      2. Ver Ploeg M, Mancino L, Todd JE, Clay DM, Scharadin B. Where do Americans Usually Shop for Food and How Do they Travel To Get There? Initial Findings From the National Household Food Acquisition and Purchase Survey. www.ers.usda.gov/. Published 2015. Accessed June 4, 2018.

      3. Rahkovsky I, Snyder S. Food choices and store proximity. Economic Research Report No. (ERR-195). www.ers.usda.gov/webdocs/publications/45432/53942_err195_summary.pdf?v=42276. Published 2015. Accessed June 4, 2018.

        • Powell L.M.
        • Slater S.
        • Mirtcheva D.
        • Bao Y.
        • Chaloupka F.J.
        Food store availability and neighborhood characteristics in the United States.
        Prev Med. 2007; 44: 189-195https://doi.org/10.1016/j.ypmed.2006.08.008
        • Bonanno A.
        • Goetz S.J.
        Food store density, nutrition education, eating habits and obesity.
        Int Food Agribusiness Manage Rev. 2012; 15: 1-26
        • Volpe R.
        • Okrent A.
        • Leibtag E.
        The effect of supercenter-format stores on the healthfulness of consumers’ grocery purchases.
        Am J Agric Econ. 2013; 95: 568-589https://doi.org/10.1093/ajae/aas132
        • Stern D.
        • Ng S.W.
        • Popkin B.M.
        The nutrient content of U.S. household food purchases by store type.
        Am J Prev Med. 2016; 50: 180-190https://doi.org/10.1016/j.amepre.2015.07.025
        • Slining M.M.
        • Ng S.W.
        • Popkin B.M.
        Food companies’ calorie-reduction pledges to improve U.S. diet.
        Am J Prev Med. 2013; 44: 174-184https://doi.org/10.1016/j.amepre.2012.09.064
        • Ng S.W.
        • Popkin B.M.
        The Healthy Weight Commitment Foundation Pledge: calories purchased by U.S. households with children, 2000–2012.
        Am J Prev Med. 2014; 47: 520-530https://doi.org/10.1016/j.amepre.2014.05.030
        • Ng S.W.
        • Popkin B.M.
        Monitoring foods and nutrients sold and consumed in the United States: dynamics and challenges.
        J Acad Nutr Diet. 2012; 112: 41-45https://doi.org/10.1016/j.jada.2011.09.015
        • Grummon A.
        • Taillie L.
        Nutritional profile of Supplemental Nutrition Assistance Program household food and beverage purchases.
        Am J Clin Nutr. 2017; 105: 1433-1442https://doi.org/10.3945/ajcn.116.147173
        • Taillie L.
        • Ng S.W.
        • Popkin B.
        Gains made by Walmart’s healthier food initiative mirror pre-existing trends.
        Health Aff (Millwood). 2015; 34: 1869-1876https://doi.org/10.1377/hlthaff.2015.0072
        • Volpe R.
        • Okrent A.
        • Leibtag E.
        The effect of supercenter-format stores on the healthfulness of consumers’ grocery purchases.
        Am J Agric Econ. 2013; 95: 568-589https://doi.org/10.1093/ajae/aas132
        • Zhen C.
        • Finkelstein E.A.
        • Nonnemaker J.M.
        • Karns S.A.
        • Todd J.E.
        Predicting the effects of sugar-sweetened beverage taxes on food and beverage demand in a large demand system.
        Am J Agric Econ. 2013; 96: 1-25https://doi.org/10.1093/ajae/aat049
      4. U.S. Department of Agriculture Food and Nutrition Services. Supplemental Nutrition Assistance Program (SNAP) Eligibility. www.fns.usda.gov/snap/eligibility. Published 2017. Accessed May 26, 2017.

        • Dauchet L.
        • Amouyel P.
        • Hercberg S.
        • Dallongeville J.
        Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies.
        J Nutr. 2006; 136: 2588-2593https://doi.org/10.1093/jn/136.10.2588
        • He F.J.
        • Nowson C.A.
        • Lucas M.
        • MacGregor G.A.
        Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies.
        J Hum Hypertens. 2007; 21: 717-728https://doi.org/10.1038/sj.jhh.1002212
        • Afshin A.
        • Micha R.
        • Khatibzadeh S.
        • Mozaffarian D.
        Consumption of nuts and legumes and risk of incident ischemic heart disease, stroke, and diabetes: a systematic review and meta-analysis.
        Am J Clin Nutr. 2014; 100: 278-288https://doi.org/10.3945/ajcn.113.076901
        • Bouvard V.
        • Loomis D.
        • Guyton K.Z.
        • et al.
        Carcinogenicity of consumption of red and processed meat.
        Lancet Oncol. 2015; 16: 1599-1600https://doi.org/10.1016/S1470-2045(15)00444-1
        • DeMillo A.
        Arkansas lawmakers advance junk food ban for food stamps.
        Washington Times. 2017; (January 17)
        • Lawlor D.A.
        • Ebrahim S.
        • Timpson N.
        • Davey Smith G.
        Avoiding milk is associated with a reduced risk of insulin resistance and the metabolic syndrome: findings from the British Women’s Heart and Health Study.
        Diabet Med. 2005; 22: 808-811https://doi.org/10.1111/j.1464-5491.2005.01537.x
        • Mistler S.
        DHHS renews push for ban on buying soda and candy with food stamps.
        Portland Press Herald. November 23, 2015; (www.pressherald.com/2015/11/23/maine-renews-push-to-prohibit-food-stamp-recipients-from-purchasing-soda-and-candy/. Accessed June 1, 2016)
      5. U.S. Department of Agriculture ERS. Access to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and Their Consequences. https://www.ers.usda.gov/webdocs/publications/42711/12716_ap036_1_.pdf. Published 2009. Accessed May 12, 2018.

        • Todd J.E.
        • Scharadin B.
        Where Households Get Food in a Typical Week: Findings From USDA’s FoodAPS.
        U.S. Department of Agriculture, Economic Research Service, Washington, DC2016
        • Broda C.
        • Leibtag E.
        • Weinstein D.E.
        The role of prices in measuring the poor’s living standards.
        J Econ Perspect. 2009; 23: 77-97https://doi.org/10.1257/jep.23.2.77
        • Hausman J.
        • Leibtag E.
        Consumer benefits from increased competition in shopping outlets: measuring the effect of Wal-Mart.
        J Appl Econ (Chichester Engl). 2007; 22: 1157-1177https://doi.org/10.1002/jae.994
        • Einav L.
        • Leibtag E.
        • Nevo A.
        Recording discrepancies in Nielsen Homescan data: are they present and do they matter?.
        QME. 2010; 8: 207-239https://doi.org/10.1007/s11129-009-9073-0
        • Einav L.
        • Leibtag E.
        • Nevo A.
        On the Accuracy of Nielsen Homescan Data.
        U.S. Department of Agriculture, Economic Research Service, Washington, DC2008
        • Zhen C.
        • Taylor J.L.
        • Muth M.K.
        • Leibtag E.
        Understanding differences in self-reported expenditures between household scanner data and diary survey data: a comparison of Homescan and consumer expenditure survey.
        Appl Econ Perspect Policy. 2009; 31: 470-492https://doi.org/10.1111/j.1467-9353.2009.01449.x
      6. Sweitzer M, Brown D, Karns S, Muth MK, Siegel P, Zhen C. Food-at-Home Expenditures: Comparing Commercial Household Scanner Data from IRI and Government Data. www.bls.gov/cex/research_papers/pdf/food-at-home-expenditures-comparing-commercial-household-scanner-data-from-iri-and-government-survey-data.pdf. Published 2017. Accessed March 5, 2018.

        • Lusk J.L.
        • Brooks K.
        Who participates in household scanning panels?.
        Am J Agric Econ. 2011; 93: 226-240https://doi.org/10.1093/ajae/aaq123

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