IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0196689.html
   My bibliography  Save this article

Food environment does not predict self-reported SSB consumption in New York City: A cross sectional study

Author

Listed:
  • Ben R Spoer
  • Jonathan H Cantor
  • Pasquale E Rummo
  • Brian D Elbel

Abstract

The purpose of this research was to examine whether the local food environment, specifically the distance to the nearest sugar sweetened beverage (SSB) vendor, a measure of SSB availability and accessibility, was correlated with the likelihood of self-reported SSB consumption among a sample of fast food consumers. As part of a broader SSB behavior study in 2013–2014, respondents were surveyed outside of major chain fast food restaurants in New York City (NYC). Respondents were asked for the intersection closest to their home and how frequently they consume SSBs. Comprehensive, administrative food outlet databases were used to geo-locate the SSB vendor closest to the respondents’ home intersections. We then used a logistic regression model to estimate the association between the distance to the nearest SSB vendor (overall and by type) and the likelihood of daily SSB consumption. Our results show that proximity to the nearest SSB vendor was not statistically significantly associated with the likelihood of daily SSB consumption, regardless of type of vendor. Our results are robust to alternative model specifications, including replacing the linear minimum distance measure with count of the total number of SSB vendors or presence of a SSB vendor within a buffer around respondents’ home intersections. We conclude that there is not a strong relationship between proximity to nearest SSB vendor, or proximity to a specific type of SSB vendor, and frequency of self-reported SSB consumption among fast food consumers in NYC. This suggests that policymakers focus on alternative strategies to curtail SSB consumption, such as improving the within-store food environment or taxing SSBs.

Suggested Citation

  • Ben R Spoer & Jonathan H Cantor & Pasquale E Rummo & Brian D Elbel, 2018. "Food environment does not predict self-reported SSB consumption in New York City: A cross sectional study," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-9, October.
    • Handle: RePEc:plo:pone00:0196689
    DOI: 10.1371/journal.pone.0196689
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196689
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196689&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0196689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kansagra, S.M. & Kennelly, M.O. & Nonas, C.A. & Curtis, C.J. & Van Wye, G. & Goodman, A. & Farley, T.A., 2015. "Reducing sugary drink consumption: New York City's approach," American Journal of Public Health, American Public Health Association, vol. 105(4), pages 61-64.
    2. Falbe, J. & Thompson, H.R. & Becker, C.M. & Rojas, N. & McCulloch, C.E. & Madsen, K.A., 2016. "Impact of the Berkeley excise tax on sugar-sweetened beverage consumption," American Journal of Public Health, American Public Health Association, vol. 106(10), pages 1865-1871.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    2. Neuhofer, Zachary & McFadden, Brandon R. & Rihn, Alicia & Wei, Xuan & Khachatryan, Hayk & House, Lisa, 2020. "Can the updated nutrition facts label decrease sugar-sweetened beverage consumption?," Economics & Human Biology, Elsevier, vol. 37(C).
    3. Sara Capacci & Olivier Allais & Celine Bonnet & Mario Mazzocchi, 2019. "The impact of the French soda tax on prices and purchases. An ex post evaluation," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    4. Alyssa J. Moran & Yuxuan Gu & Sasha Clynes & Attia Goheer & Christina A. Roberto & Anne Palmer, 2020. "Associations between Governmental Policies to Improve the Nutritional Quality of Supermarket Purchases and Individual, Retailer, and Community Health Outcomes: An Integrative Review," IJERPH, MDPI, vol. 17(20), pages 1-23, October.
    5. Dogbe, W. & Gil, J.M., 2018. "Effects of a modified Danish fat tax on food consumption and nutrients intake in Spain," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277237, International Association of Agricultural Economists.
    6. Yichen Zhong & Amy H. Auchincloss & Brian K. Lee & Ryan M. McKenna & Brent A. Langellier, 2020. "Sugar-Sweetened and Diet Beverage Consumption in Philadelphia One Year after the Beverage Tax," IJERPH, MDPI, vol. 17(4), pages 1-12, February.
    7. Knox, Melissa A. & Oddo, Vanessa M. & Walkinshaw, Lina Pinero & Jones-Smith, Jessica, 2020. "Is the public sweet on sugary beverages? Social desirability bias and sweetened beverage taxes," Economics & Human Biology, Elsevier, vol. 38(C).
    8. Hannah G Lawman & Sara N Bleich & Jiali Yan & Michael T LeVasseur & Nandita Mitra & Christina A Roberto, 2019. "Unemployment claims in Philadelphia one year after implementation of the sweetened beverage tax," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-10, March.
    9. Hagenaars, Luc Louis & Jeurissen, Patrick Paulus Theodoor & Klazinga, Niek Sieds, 2017. "The taxation of unhealthy energy-dense foods (EDFs) and sugar-sweetened beverages (SSBs): An overview of patterns observed in the policy content and policy context of 13 case studies," Health Policy, Elsevier, vol. 121(8), pages 887-894.
    10. Zhai, Tianchang & Li, Lei & Wang, Jingjing & Si, Wei, 2022. "Will the consumption tax on sugar-sweetened beverages help promote healthy beverage consumption? Evidence from urban China," China Economic Review, Elsevier, vol. 73(C).
    11. Mireia Montaña Blasco & Mònika Jiménez-Morales, 2020. "Soft Drinks and Sugar-Sweetened Beverages Advertising in Spain: Correlation between Nutritional Values and Advertising Discursive Strategies," IJERPH, MDPI, vol. 17(7), pages 1-12, March.
    12. Sunjin Ahn & Jayson L. Lusk, 2021. "Non‐Pecuniary Effects of Sugar‐Sweetened Beverage Policies," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 53-69, January.
    13. Flynn, James & Gruber, Anja, 2025. "Soda Taxes, BMI and Obesity: Evidence from Seattle," IZA Discussion Papers 17617, Institute of Labor Economics (IZA).
    14. Julio C. Arteaga & Daniel Flores & Edgar Luna, 2021. "The effect of a soft drink tax in Mexico: evidence from time series industry data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(2), pages 349-366, April.
    15. Rebecca L. C. Taylor & Scott Kaplan & Sofia B. Villas‐Boas & Kevin Jung, 2019. "Soda Wars: The Effect Of A Soda Tax Election On University Beverage Sales," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1480-1496, July.
    16. Alvarado, Miriam & Penney, Tarra L. & Unwin, Nigel & Murphy, Madhuvanti M. & Adams, Jean, 2021. "Evidence of a health risk ‘signalling effect’ following the introduction of a sugar-sweetened beverage tax," Food Policy, Elsevier, vol. 102(C).
    17. Phoebe Harpainter & Sridharshi C. Hewawitharana & Danielle L. Lee & Anna C. Martin & Wendi Gosliner & Lorrene D. Ritchie & Gail Woodward-Lopez, 2020. "Voluntary Kids’ Meal Beverage Standards: Are They Sufficient to Ensure Healthier Restaurant Practices and Consumer Choices?," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    18. Gračner, Tadeja, 2021. "Bittersweet: How prices of sugar-rich foods contribute to the diet-related disease epidemic in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    19. Haeck, Catherine & Lawson, Nicholas & Poirier, Krystel, 2022. "Estimating consumer preferences for different beverages using the BLP approach," Economics & Human Biology, Elsevier, vol. 46(C).
    20. Pereda, Paula Carvalho & Moz-Christofoletti, Maria Alice & Duran, Ana Clara & Louzada, Maria Laura da Costa & Ng, Shu Wen, 2024. "Equity-Driven fiscal Policies: Taxing Ultra-Processed products and subsidizing minimally processed foods," Food Policy, Elsevier, vol. 126(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0196689. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.