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A Model Depicting the Retail Food Environment and Customer Interactions: Components, Outcomes, and Future Directions

Author

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  • Megan R. Winkler

    (Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55455, USA)

  • Shannon N. Zenk

    (Department of Population Health Nursing Science, University of Illinois Chicago, Chicago, IL 60612, USA)

  • Barbara Baquero

    (Department of Health Services, University of Washington School of Public Health, Seattle, WA 98198, USA)

  • Elizabeth Anderson Steeves

    (Department of Nutrition, University of Tennessee, Knoxville, TN 37996, USA)

  • Sheila E. Fleischhacker

    (Law Center, Georgetown University, Washington, DC 20001, USA)

  • Joel Gittelsohn

    (Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Lucia A Leone

    (Department of Community Health and Health Behavior, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214, USA)

  • Elizabeth F. Racine

    (Department of Public Health Sciences, University of North Carolina, Charlotte, NC 28223, USA)

Abstract

The retail food environment (RFE) has important implications for dietary intake and health, and dramatic changes in RFEs have been observed over the past few decades and years. Prior conceptual models of the RFE and its relationships with health and behavior have played an important role in guiding research; yet, the convergence of RFE changes and scientific advances in the field suggest the time is ripe to revisit this conceptualization. In this paper, we propose the Retail Food Environment and Customer Interaction Model to convey the evolving variety of factors and relationships that convene to influence food choice at the point of purchase. The model details specific components of the RFE, including business approaches, actors, sources, and the customer retail experience; describes individual, interpersonal, and household characteristics that affect customer purchasing; highlights the macro-level contexts (e.g., communities and nations) in which the RFE and customers behave; and addresses the wide-ranging outcomes produced by RFEs and customers, including: population health, food security, food justice, environmental sustainability, and business sustainability. We believe the proposed conceptualization helps to (1) provide broad implications for future research and (2) further highlight the need for transdisciplinary collaborations to ultimately improve a range of critical population outcomes.

Suggested Citation

  • Megan R. Winkler & Shannon N. Zenk & Barbara Baquero & Elizabeth Anderson Steeves & Sheila E. Fleischhacker & Joel Gittelsohn & Lucia A Leone & Elizabeth F. Racine, 2020. "A Model Depicting the Retail Food Environment and Customer Interactions: Components, Outcomes, and Future Directions," IJERPH, MDPI, vol. 17(20), pages 1-21, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7591-:d:431024
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    References listed on IDEAS

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    1. Yeeli Mui & Bruce Y. Lee & Atif Adam & Anna Y. Kharmats & Nadine Budd & Claudia Nau & Joel Gittelsohn, 2015. "Healthy versus Unhealthy Suppliers in Food Desert Neighborhoods: A Network Analysis of Corner Stores’ Food Supplier Networks," IJERPH, MDPI, vol. 12(12), pages 1-17, November.
    2. Chelsea R. Singleton & Yu Li & Ana Clara Duran & Shannon N. Zenk & Angela Odoms-Young & Lisa M. Powell, 2017. "Food and Beverage Availability in Small Food Stores Located in Healthy Food Financing Initiative Eligible Communities," IJERPH, MDPI, vol. 14(10), pages 1-12, October.
    3. Farley, T.A. & Baker, E.T. & Futrell, L. & Rice, J.C., 2010. "The ubiquity of energy-dense snack foods: A national multicity study," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 306-311.
    4. Zenk, S.N. & Powell, L.M. & Rimkus, L. & Isgor, Z. & Barker, D.C. & Ohri-Vachaspati, P. & Chaloupka, F., 2014. "Relative and absolute availability of healthier food and beverage alternatives across communities in the United States," American Journal of Public Health, American Public Health Association, vol. 104(11), pages 2170-2178.
    5. Nicole Darmon & Adam Drewnowski, 2015. "Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis," Post-Print hal-01774670, HAL.
    6. Kristen Cooksey-Stowers & Marlene B. Schwartz & Kelly D. Brownell, 2017. "Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States," IJERPH, MDPI, vol. 14(11), pages 1-20, November.
    7. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    8. Laska, Melissa N. & Sindberg, Lesley Schmidt & Ayala, Guadalupe X. & D'Angelo, Heather & Horton, Lucy A. & Ribisl, Kurt M. & Kharmats, Anna & Olson, Christina & Gittelsohn, Joel, 2018. "Agreements between small food store retailers and their suppliers: Incentivizing unhealthy foods and beverages in four urban settings," Food Policy, Elsevier, vol. 79(C), pages 324-330.
    9. Cannuscio, Carolyn C. & Hillier, Amy & Karpyn, Allison & Glanz, Karen, 2014. "The social dynamics of healthy food shopping and store choice in an urban environment," Social Science & Medicine, Elsevier, vol. 122(C), pages 13-20.
    10. Lin, Biing-Hwan & Ver Ploeg, Michele & Kasteridis, Panagiotis & Yen, Steven T., 2014. "The roles of food prices and food access in determining food purchases of low-income households," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 938-952.
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    Cited by:

    1. Alyssa Moran & Christina Roberto, 2020. "The Retail Food Environment: Time for a Change," IJERPH, MDPI, vol. 17(23), pages 1-4, November.
    2. Carmen Vargas & Jillian Whelan & Louise Feery & Deborah Greenslade & Melissa Farrington & Julie Brimblecombe & Freddy Thuruthikattu & Steven Allender, 2023. "Developing Co-Creation Research in Food Retail Environments: A Descriptive Case Study of a Healthy Supermarket Initiative in Regional Victoria, Australia," IJERPH, MDPI, vol. 20(12), pages 1-18, June.
    3. Samantha M. Sundermeir & Megan R. Winkler & Sara John & Uriyoán Colón-Ramos & Ravneet Kaur & Ashley Hickson & Rachael D. Dombrowski & Alex B. Hill & Bree Bode & Julia DeAngelo & Joel Gittelsohn, 2022. "A Commentary on the Healthy Community Stores Case Study Project: Implications for Retailers, Policy, and Future Research," IJERPH, MDPI, vol. 19(14), pages 1-11, July.

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