IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v9y2012i8p2715-2727d19174.html
   My bibliography  Save this article

Identification of the Appropriate Boundary Size to Use When Measuring the Food Retail Environment Surrounding Schools

Author

Listed:
  • Laura Seliske

    (Department of Community Health and Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • William Pickett

    (Department of Community Health and Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada
    Clinical Research Center, Angada 3, Kingston General Hospital, 76 Stuart St., Kingston, ON K7L 2V7, Canada)

  • Andrei Rosu

    (School of Kinesiology and Health Studies, Queen’s University, 28 Division St., Kingston, ON K7L 3N6, Canada)

  • Ian Janssen

    (Department of Community Health and Epidemiology, Queen’s University, Kingston, ON K7L 3N6, Canada
    School of Kinesiology and Health Studies, Queen’s University, 28 Division St., Kingston, ON K7L 3N6, Canada)

Abstract

This study included 6,971 students in grades 9 and 10 (ages 13 to 16 years) from 158 schools who participated in the 2009/2010 Health Behaviour in School-aged Children Study. Students provided information on where they typically ate lunch. The number of food retailers was obtained for six road network buffer sizes (500, 750, 1,000, 1,500, 2,000, and 5,000 meters) surrounding schools. Associations between the presence of food retailers near schools and students’ lunchtime eating behaviours were examined using multilevel logistic regression. Comparisons of model fit statistics indicated that the 1,000 m buffer provided the best fit. At this distance, students with ≥3 food retailers near their schools had a 3.42 times greater relative odds (95% CI: 2.12–5.52) of eating their lunchtime meal at a food retailer compared to students with no nearby food retailers. Students who had ≥2 food retailers within 750 m of their schools had a 2.74 times greater relative odds (95% CI: 1.75–4.29), while those who had ≥1 food retailer within 500 m of their schools had 2.27 times greater relative odds of eating at food retailer (95% CI: 1.46–3.52) compared to those with no nearby food retailers. For distances greater than 1,000 m, no consistent relationships were found.

Suggested Citation

  • Laura Seliske & William Pickett & Andrei Rosu & Ian Janssen, 2012. "Identification of the Appropriate Boundary Size to Use When Measuring the Food Retail Environment Surrounding Schools," IJERPH, MDPI, vol. 9(8), pages 1-13, July.
  • Handle: RePEc:gam:jijerp:v:9:y:2012:i:8:p:2715-2727:d:19174
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/9/8/2715/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/9/8/2715/
    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. Laura Seliske & William Pickett & Rebecca Bates & Ian Janssen, 2012. "Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases," IJERPH, MDPI, vol. 9(8), pages 1-7, July.
    3. repec:mpr:mprres:6160 is not listed on IDEAS
    4. Ronette R. Briefel & Mary Kay Crepinsek & Charlotte Cabili & Ander Wilson & Philip M. Gleason, 2009. "School Food Environments and Practices Affect Dietary Behaviors of US Public School Children," Mathematica Policy Research Reports c6dbf718e7a54cb0ab738b653, Mathematica Policy Research.
    5. Davis, B. & Carpenter, C., 2009. "Proximity of fast-food restaurants to schools and adolescent obesity," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 505-510.
    6. Currie, Candace & Molcho, Michal & Boyce, William & Holstein, Bjørn & Torsheim, Torbjørn & Richter, Matthias, 2008. "Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale," Social Science & Medicine, Elsevier, vol. 66(6), pages 1429-1436, March.
    7. Scott Leatherdale & Theodora Pouliou & Dana Church & Erin Hobin, 2011. "The association between overweight and opportunity structures in the built environment: a multi-level analysis among elementary school youth in the PLAY-ON study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(3), pages 237-246, June.
    8. Kubik, M.Y. & Lytle, L.A. & Hannan, P.J. & Perry, C.L. & Story, M., 2003. "The Association of the School Food Environment with Dietary Behaviors of Young Adolescents," American Journal of Public Health, American Public Health Association, vol. 93(7), pages 1168-1173.
    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. Ishdorj, Ariun & Crepinsek, Mary Kay & Jensen, Helen H., 2012. "Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?," 2012 AAEA/EAAE Food Environment Symposium 123534, Agricultural and Applied Economics Association.
    2. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
    3. 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.
    4. 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.
    5. Brennan Davis & Cornelia Pechmann, 2023. "When Students Patronize Fast-Food Restaurants near School: The Effects of Identification with the Student Community, Social Activity Spaces and Social Liability Interventions," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
    6. Rhona M. Hanning & Henry Luan & Taryn A. Orava & Renata F. Valaitis & James K. H. Jung & Rashid Ahmed, 2019. "Exploring Student Food Behaviour in Relation to Food Retail over the Time of Implementing Ontario’s School Food and Beverage Policy," IJERPH, MDPI, vol. 16(14), pages 1-11, July.
    7. Anthony Winson, 2008. "School food environments and the obesity issue: content, structural determinants, and agency in Canadian high schools," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 25(4), pages 499-511, December.
    8. 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.
    9. Harrison, Flo & Jones, Andrew P. & van Sluijs, Esther M.F. & Cassidy, Aedín & Bentham, Graham & Griffin, Simon J., 2011. "Environmental correlates of adiposity in 9-10 year old children: Considering home and school neighbourhoods and routes to school," Social Science & Medicine, Elsevier, vol. 72(9), pages 1411-1419, May.
    10. Shirlene D. Wang & Michele Nicolo & Li Yi & Genevieve F. Dunton & Tyler B. Mason, 2021. "Interactions among Reward Sensitivity and Fast-Food Access on Healthy Eating Index Scores in Adolescents: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(11), pages 1-10, May.
    11. Phoebe R. Ruggles & Jacob E. Thomas & Natalie S. Poulos & Keryn E. Pasch, 2023. "School-Level Socioeconomic Status and Nutrient Content of Outdoor Food/Beverage Advertisements," IJERPH, MDPI, vol. 20(18), pages 1-12, September.
    12. 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.
    13. Nasrin Omidvar & Mina Babashahi & Zahra Abdollahi & Ayoub Al-Jawaldeh, 2021. "Enabling Food Environment in Kindergartens and Schools in Iran for Promoting Healthy Diet: Is It on the Right Track?," IJERPH, MDPI, vol. 18(8), pages 1-22, April.
    14. Adamopoulou, Effrosyni & Olivieri, Elisabetta & Triviza, Eleftheria, 2024. "Eating habits, food consumption, and health: The role of early life experiences," European Economic Review, Elsevier, vol. 166(C).
    15. Kern, Matthias Robert & Heinz, Andreas & Stevens, Gonneke W.J.M. & Walsh, Sophie D. & Willems, Helmut, 2020. "“What's a normal weight?” – Origin and receiving country influences on weight-status assessment among 1.5 and 2nd generation immigrant adolescents in Europe," Social Science & Medicine, Elsevier, vol. 264(C).
    16. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    17. Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
    18. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    19. Laura Seliske & William Pickett & Rebecca Bates & Ian Janssen, 2012. "Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases," IJERPH, MDPI, vol. 9(8), pages 1-7, July.
    20. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(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:9:y:2012:i:8:p:2715-2727:d:19174. 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.