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Urban vs. Rural Socioeconomic Differences in the Nutritional Quality of Household Packaged Food Purchases by Store Type

Author

Listed:
  • Allison Lacko

    (The Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA)

  • Shu Wen Ng

    (The Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA)

  • Barry Popkin

    (The Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA)

Abstract
The U.S. food system is rapidly changing, including the growth of mass merchandisers and dollar stores, which may impact the quality of packaged food purchases (PFPs). Furthermore, diet-related disparities exist by socioeconomic status (SES) and rural residence. We use data from the 2010–2018 Nielsen Homescan Panel to describe the nutritional profiles of PFPs by store type and to assess whether these vary by household urbanicity and SES. Store types include grocery stores, mass merchandisers, club stores, online shopping, dollar stores, and convenience/drug stores. Food and beverage groups contributing the most calories at each store type are estimated using survey-weighted means, while the associations of urbanicity and SES with nutritional quality are estimated using multivariate regression. We find that households that are customers at particular store types purchase the same quality of food regardless of urbanicity or SES. However, we find differences in the quality of foods between store types and that the quantity of calories purchased at each store type varies according to household urbanicity and SES. Rural shoppers tend to shop more at mass merchandisers and dollar stores with less healthful PFPs. We discuss implications for the types of store interventions most relevant for improving the quality of PFPs.

Suggested Citation

  • Allison Lacko & Shu Wen Ng & Barry Popkin, 2020. "Urban vs. Rural Socioeconomic Differences in the Nutritional Quality of Household Packaged Food Purchases by Store Type," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7637-:d:431628
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    References listed on IDEAS

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    1. Einav, Liran & Leibtag, Ephraim S. & Nevo, Aviv, 2008. "On the Accuracy of Nielsen Homescan Data," Economic Research Report 56490, United States Department of Agriculture, Economic Research Service.
    2. Jerry Hausman & Ephraim Leibtag, 2007. "Consumer benefits from increased competition in shopping outlets: Measuring the effect of Wal-Mart," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1157-1177.
    3. Richard Volpe & Edward C Jaenicke & Lauren Chenarides, 2018. "Store Formats, Market Structure, and Consumers’ Food Shopping Decisions," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 672-694, December.
    4. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
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    Cited by:

    1. Amelie A. Hecht & Megan M. Lott & Kirsten Arm & Mary T. Story & Emily Snyder & Margo G. Wootan & Alyssa J. Moran, 2020. "Developing a National Research Agenda to Support Healthy Food Retail," IJERPH, MDPI, vol. 17(21), pages 1-17, November.
    2. Pablo Farías, 2020. "The Use of Fear versus Hope in Health Advertisements: The Moderating Role of Individual Characteristics on Subsequent Health Decisions in Chile," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    3. Alyssa Moran & Christina Roberto, 2020. "The Retail Food Environment: Time for a Change," IJERPH, MDPI, vol. 17(23), pages 1-4, November.

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