IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i7p1180-d219150.html
   My bibliography  Save this article

A Time-Based Objective Measure of Exposure to the Food Environment

Author

Listed:
  • Jason Y. Scully

    (Department of Planning and Public Administration, Eastern Washington University, 668 N Riverpoint Blvd, Suite A, Spokane, WA 99202, USA)

  • Anne Vernez Moudon

    (The Urban Form Lab, University of Washington, Seattle, WA 98195, USA)

  • Philip M. Hurvitz

    (The Urban Form Lab, University of Washington, Seattle, WA 98195, USA)

  • Anju Aggarwal

    (Center for Public Health Nutrition, University of Washington, Seattle, WA 98105, USA)

  • Adam Drewnowski

    (Center for Public Health Nutrition, University of Washington, Seattle, WA 98105, USA)

Abstract

Exposure to food environments has mainly been limited to counting food outlets near participants’ homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants’ mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.

Suggested Citation

  • Jason Y. Scully & Anne Vernez Moudon & Philip M. Hurvitz & Anju Aggarwal & Adam Drewnowski, 2019. "A Time-Based Objective Measure of Exposure to the Food Environment," IJERPH, MDPI, vol. 16(7), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1180-:d:219150
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/7/1180/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/7/1180/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mooney, S.J. & Sheehan, D.M. & Zulaika, G. & Rundle, A.G. & McGill, K. & Behrooz, M.R. & Lovasi, G.S., 2016. "Quantifying distance overestimation from global positioning system in urban spaces," American Journal of Public Health, American Public Health Association, vol. 106(4), pages 651-653.
    2. Forsyth, Ann & Lytle, Leslie & Van Riper, David, 2010. "Finding food: Issues and challenges in using Geographic Information Systems (GIS) to measure food access," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 43-65.
    3. Lorna K. Fraser & Kimberly L. Edwards & Janet Cade & Graham P. Clarke, 2010. "The Geography of Fast Food Outlets: A Review," IJERPH, MDPI, vol. 7(5), pages 1-19, May.
    4. David M. Levinson & Ajay Kumar, 1997. "Density and the Journey to Work," Growth and Change, Wiley Blackwell, vol. 28(2), pages 147-172, March.
    5. Brusilovskiy, Eugene & Klein, Louis A. & Salzer, Mark S., 2016. "Using global positioning systems to study health-related mobility and participation," Social Science & Medicine, Elsevier, vol. 161(C), pages 134-142.
    6. Drewnowski, A. & Aggarwal, A. & Hurvitz, P.M. & Monsivais, P. & Moudon, A.V., 2012. "Obesity and supermarket access: Proximity or price?," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 74-80.
    7. Ashe, M. & Jernigan, D. & Kline, R. & Galaz, R., 2003. "Land Use Planning and the Control of Alcohol, Tobacco, Firearms, and Fast Food Restaurants," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1404-1408.
    8. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    9. Chambers, T. & Pearson, A.L. & Kawachi, I. & Rzotkiewicz, Z. & Stanley, J. & Smith, M. & barr, M. & Ni Mhurchu, C. & Signal, L., 2017. "Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data," Social Science & Medicine, Elsevier, vol. 193(C), pages 41-50.
    10. Zenk, S.N. & Schulz, A.J. & Israel, B.A. & James, S.A. & Bao, S. & Wilson, M.L., 2005. "Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit," American Journal of Public Health, American Public Health Association, vol. 95(4), pages 660-667.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bernardo García Bulle Bueno & Abigail L. Horn & Brooke M. Bell & Mohsen Bahrami & Burçin Bozkaya & Alex Pentland & Kayla Haye & Esteban Moro, 2024. "Effect of mobile food environments on fast food visits," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

    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. Adriana Dornelles, 2019. "Impact of multiple food environments on body mass index," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.
    2. Havewala, Ferzana, 2021. "The dynamics between the food environment and residential segregation: An analysis of metropolitan areas," Food Policy, Elsevier, vol. 103(C).
    3. Gwen M Chodur & Ye Shen & Stephen Kodish & Vanessa M Oddo & Daniel A Antiporta & Brittany Jock & Jessica C Jones-Smith, 2016. "Food Environments around American Indian Reservations: A Mixed Methods Study," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-15, August.
    4. Chambers, T. & Pearson, A.L. & Kawachi, I. & Rzotkiewicz, Z. & Stanley, J. & Smith, M. & barr, M. & Ni Mhurchu, C. & Signal, L., 2017. "Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data," Social Science & Medicine, Elsevier, vol. 193(C), pages 41-50.
    5. Andrea L. Sparks & Neil Bania & Laura Leete, 2011. "Comparative Approaches to Measuring Food Access in Urban Areas," Urban Studies, Urban Studies Journal Limited, vol. 48(8), pages 1715-1737, June.
    6. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    7. Jones, Eugene, 2014. "An Empirical Assessment of Consumers’ Preferences for Coffee," Journal of Food Distribution Research, Food Distribution Research Society, vol. 45(2), pages 1-26, July.
    8. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    9. Chang, Virginia W., 2006. "Racial residential segregation and weight status among US adults," Social Science & Medicine, Elsevier, vol. 63(5), pages 1289-1303, September.
    10. Rafael Henrique Moraes Pereira & Tim Schwanen, 2013. "Commute Time in Brazil (1992-2009): Differences Between Metropolitan Areas, by Income Levels and Gender," Discussion Papers 1813a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    11. Matt Ruther & Rebbeca Tesfai & Janice Madden, 2018. "Foreign-born population concentration and neighbourhood growth and development within US metropolitan areas," Urban Studies, Urban Studies Journal Limited, vol. 55(4), pages 826-843, March.
    12. Rose, Chelsea M. & Gupta, Shilpi & Buszkiewicz, James & Ko, Linda K. & Mou, Jin & Cook, Andrea & Moudon, Anne Vernez & Aggarwal, Anju & Drewnowski, Adam, 2020. "Small increments in diet cost can improve compliance with the Dietary Guidelines for Americans," Social Science & Medicine, Elsevier, vol. 266(C).
    13. Mark P.C. Cherrie & Niamh K. Shortt & Catharine Ward Thompson & Ian J. Deary & Jamie R. Pearce, 2019. "Association Between the Activity Space Exposure to Parks in Childhood and Adolescence and Cognitive Aging in Later Life," IJERPH, MDPI, vol. 16(4), pages 1-13, February.
    14. Dayeon Shin & Nitin Shivappa & James R. Hébert & Kyung Won Lee, 2020. "Examining Regional Differences of Dietary Inflammatory Index and Its Association with Depression and Depressive Symptoms in Korean Adults," IJERPH, MDPI, vol. 17(9), pages 1-11, May.
    15. Jing Tao & Ying Wang & Rong Wang & Chuanmin Mi, 2019. "Do Compactness and Poly-Centricity Mitigate PM 10 Emissions? Evidence from Yangtze River Delta Area," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    16. Eleonore M Veldhuizen & Karien Stronks & Anton E Kunst, 2013. "Assessing Associations between Socio-Economic Environment and Self-Reported Health in Amsterdam Using Bespoke Environments," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    17. Olsen, Jonathan R. & Mitchell, Richard & McCrorie, Paul & Ellaway, Anne, 2019. "Children's mobility and environmental exposures in urban landscapes: A cross-sectional study of 10–11 year old Scottish children," Social Science & Medicine, Elsevier, vol. 224(C), pages 11-22.
    18. Levinson, David & Zhang, Lei, 2006. "Ramp meters on trial: Evidence from the Twin Cities metering holiday," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 810-828, December.
    19. Kelsey Ryan-Simkins, 2021. "The intersection of food justice and religious values in secular spaces: insights from a nonprofit urban farm in Columbus, Ohio," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(3), pages 767-781, September.
    20. Mishra, Sabyasachee & Sharma, Ishant & Pani, Agnivesh, 2023. "Analyzing autonomous delivery acceptance in food deserts based on shopping travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).

    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:gam:jijerp:v:16:y:2019:i:7:p:1180-:d:219150. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.