IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i12p6502-d576140.html
   My bibliography  Save this article

Density of Fast Food Outlets around Educational Facilities in Riyadh, Saudi Arabia: Geospatial Analysis

Author

Listed:
  • Alaa Ashraf AlQurashi

    (Applied Clinical Research Administration, King Fahad Medical City, Riyadh 11525, Saudi Arabia)

  • Dian Kusuma

    (Centre for Health Economics & Policy Innovation, Imperial College Business School, London SW7 2AZ, UK)

  • Hala AlJishi

    (Research Services Administration, King Fahad Medical City, Riyadh 11525, Saudi Arabia)

  • Ali AlFaiz

    (Research Services Administration, King Fahad Medical City, Riyadh 11525, Saudi Arabia)

  • Abdulaziz AlSaad

    (College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia)

Abstract

Background: Childhood obesity remains a public health issue globally. The latest estimate from the World Health Organization showed that over 340 million children and adolescents aged 5–19 were overweight or obese in 2016. Objective: Our study aimed to assess the density of fast food outlets around educational facilities in Riyadh, Saudi Arabia. Methods: We employed geospatial and quantitative analyses using data on fast food outlets (from surveys conducted between November 2019 and May 2020) and educational facilities in Riyadh city. Data analyses conducted using ArcMap 10.6 and Stata 15 compared the density within 500 m and 500–1000 m from the facilities. Results: We found a high density of fast food outlets around educational facilities. Nearly 80% of fast food were within twelve-minute walking or five-minute driving distances from schools, and nearly 70% of all educational facilities had at least one fast food outlet within the buffer. We also found the densities were high within both the areas closer and the areas farther away from educational facilities. In addition, the density was significantly higher around private schools compared to government schools, and the density around girls-only schools and both-gender schools was higher than that around boys-only schools. Conclusion: There is a high density of fast food outlets around educational facilities in Saudi Arabia. Effective policies are needed to help reduce potential exposure to fast food among young people in Saudi Arabia and other countries with similar settings.

Suggested Citation

  • Alaa Ashraf AlQurashi & Dian Kusuma & Hala AlJishi & Ali AlFaiz & Abdulaziz AlSaad, 2021. "Density of Fast Food Outlets around Educational Facilities in Riyadh, Saudi Arabia: Geospatial Analysis," IJERPH, MDPI, vol. 18(12), pages 1-10, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6502-:d:576140
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/12/6502/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/12/6502/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Austin, S.B. & Melly, S.J. & Sanchez, B.N. & Patel, A. & Buka, S. & Gortmaker, S.L., 2005. "Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments," American Journal of Public Health, American Public Health Association, vol. 95(9), pages 1575-1581.
    2. Shearer, Cindy & Rainham, Daniel & Blanchard, Chris & Dummer, Trevor & Lyons, Renee & Kirk, Sara, 2015. "Measuring food availability and accessibility among adolescents: Moving beyond the neighbourhood boundary," Social Science & Medicine, Elsevier, vol. 133(C), pages 322-330.
    3. 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.
    4. Asirvatham, Jebaraj & Thomsen, Michael R. & Nayga, Rodolfo M. & Goudie, Anthony, 2019. "Do fast food restaurants surrounding schools affect childhood obesity?," Economics & Human Biology, Elsevier, vol. 33(C), pages 124-133.
    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. Puput Oktamianti & Dian Kusuma & Vilda Amir & Dwi Hapsari Tjandrarini & Astridya Paramita, 2022. "District-Level Inequalities in Hypertension among Adults in Indonesia: A Cross-Sectional Analysis by Sex and Age Group," IJERPH, MDPI, vol. 19(20), pages 1-18, October.

    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. Sisitha Jayasinghe & Emily J. Flies & Robert Soward & Dave Kendal & Michelle Kilpatrick & Verity Cleland & Rebecca Roberts & Fadhillah Norzahari & Melanie Davern & Timothy P. Holloway & Sandra Murray , 2022. "Physical Activity and Food Environments in and around Schools: A Case Study in Regional North-West Tasmania," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    2. Chenyang Wang & Zhiping Zhen & Nan Zhao & Chenlin Zhao, 2021. "Associations between Fast-Food Restaurants Surrounding Kindergartens and Childhood Obesity: Evidence from China," IJERPH, MDPI, vol. 18(17), pages 1-15, September.
    3. Aranza Valenzuela & Leandro Zambrano & Rocío Velásquez & Catalina Groff & Tania Apablaza & Cecilia Riffo & Sandra Moldenhauer & Pamela Brisso & Marcell Leonario-Rodriguez, 2022. "Discrepancy between Food Classification Systems: Evaluation of Nutri-Score, NOVA Classification and Chilean Front-of-Package Food Warning Labels," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    4. Caryn N. Bell & Jordan Kerr & Jessica L. Young, 2019. "Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition," IJERPH, MDPI, vol. 16(5), pages 1-17, March.
    5. Shi, Yishao & Tao, Tianhui & Cao, Xiangyang & Pei, Xiaowen, 2021. "The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    6. Asirvatham, Jebaraj & Thomsen, Michael R. & Nayga, Rodolfo M. & Goudie, Anthony, 2019. "Do fast food restaurants surrounding schools affect childhood obesity?," Economics & Human Biology, Elsevier, vol. 33(C), pages 124-133.
    7. Bütikofer, Aline & Abrahamsson, Sara & Karbownik, Krzysztof, 2023. "Swallow This: Childhood and Adolescent Exposure to Fast Food Restaurants, BMI, and Cognitive Ability," CEPR Discussion Papers 18213, C.E.P.R. Discussion Papers.
    8. Hui Jeong Ha & Jinhyung Lee & Junghwan Kim & Youngjoon Kim, 2022. "Uncovering Inequalities in Food Accessibility between Koreans and Japanese in 1930s Colonial Seoul Using GIS and Open-Source Transport Analytics Tools," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    9. Lin Lin & Xueming (Jimmy) Chen & Anne Vernez Moudon, 2021. "Measuring the Urban Forms of Shanghai’s City Center and Its New Districts: A Neighborhood-Level Comparative Analysis," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    10. Dolton, Peter J. & Tafesse, Wiktoria, 2022. "Childhood obesity, is fast food exposure a factor?," Economics & Human Biology, Elsevier, vol. 46(C).
    11. Ravneet Kaur & Megan R. Winkler & Sara John & Julia DeAngelo & Rachael D. Dombrowski & Ashley Hickson & Samantha M. Sundermeir & Christina M. Kasprzak & Bree Bode & Alex B. Hill & Emma C. Lewis & Uriy, 2022. "Forms of Community Engagement in Neighborhood Food Retail: Healthy Community Stores Case Study Project," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    12. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    13. L. C. Rodrigues & D. S. Canella & R. M. Claro, 2022. "Time trend of overweight and obesity prevalence among older people in Brazilian State Capitals and the Federal District from 2006 to 2019," European Journal of Ageing, Springer, vol. 19(3), pages 555-565, September.
    14. Chanell O. Haley & Chelsea R. Singleton & Lily E. King & Lauren Dyer & Katherine P. Theall & Maeve Wallace, 2024. "Association of Food Desert Residency and Preterm Birth in the United States," IJERPH, MDPI, vol. 21(4), pages 1-11, March.
    15. Ana Luisa Reyes-Puente & Dalia Guadalupe Peña-Portilla & Sofía Alcalá-Reyes & Laura Rodríguez-Bustos & Juan Manuel Núñez, 2022. "Changes in Food Environment Patterns in the Metropolitan Area of the Valley of Mexico, 2010–2020," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
    16. Meng Yang & Feng Qiu & Juan Tu, 2022. "Premiums for Residing in Unfavorable Food Environments: Are People Rational?," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    17. Saghaian, Sayed & Mohammadi, Hosein, 2018. "Factors Affecting Frequency of Fast Food Consumption," Journal of Food Distribution Research, Food Distribution Research Society, vol. 49(1), March.
    18. Strupat, Christoph & Farfán, Gabriela & Moritz, Laura & Negre, Mario & Vakis, Renos, 2021. "Obesity and food away from home: What drives the socioeconomic gradient in excess body weight?," Economics & Human Biology, Elsevier, vol. 43(C).
    19. Bailey Houghtaling & Matthew Greene & Kaustubh V. Parab & Chelsea R. Singleton, 2022. "Improving Fruit and Vegetable Accessibility, Purchasing, and Consumption to Advance Nutrition Security and Health Equity in the United States," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    20. Ben Allen & Morgan Lane & Elizabeth Anderson Steeves & Hollie Raynor, 2022. "Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity," IJERPH, MDPI, vol. 19(15), pages 1-13, August.

    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:18:y:2021:i:12:p:6502-:d:576140. 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.