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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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. repec:mpr:mprres:6160 is not listed on IDEAS
    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.
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