IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15941-d988337.html
   My bibliography  Save this article

Exploring the Retail Food Environment Surrounding Two Secondary Schools with Predominantly Pacific Populations in Tonga and New Zealand to Enable the Development of Mapping Methods Appropriate for Testing in a Classroom

Author

Listed:
  • Alvina F. Pauuvale

    (Liggins Institute, University of Auckland, Auckland 1142, New Zealand
    School of Population Health, University of Auckland, Auckland 1142, New Zealand)

  • Mark H. Vickers

    (Liggins Institute, University of Auckland, Auckland 1142, New Zealand)

  • Soana Pamaka

    (Tamaki College, Auckland 1072, New Zealand)

  • Dorothy Apelu

    (Tamaki College, Auckland 1072, New Zealand)

  • ‘Anaseini Fehoko

    (Tonga High School, Nuku’alofa P.O. Box 53, Tonga)

  • Malakai ‘Ofanoa

    (School of Population Health, University of Auckland, Auckland 1142, New Zealand)

  • Jacquie L. Bay

    (Liggins Institute, University of Auckland, Auckland 1142, New Zealand)

Abstract

Rates of noncommunicable diseases (NCDs) are disproportionately high among people of Pacific ethnicity. Nutrition-related environmental exposures including food access and quality contribute to the matrix of factors impacting risk. Preventative interventions in adolescence and the opportunity to integrate health promotion into school-based learning are often overlooked. This study tested the potential of a low-cost method to map the retail food environment in a 1 km radius of two secondary schools in low socioeconomic communities with predominantly Pacific populations, in Tonga and New Zealand (NZ). Mapping utilized Google Earth, Google Maps, government maps, and observations. A rubric was developed to categorize food quality. Outlets within a 1 km radius of each school, (Tonga, n = 150; NZ, n = 52) stocked predominantly unhealthy foods. The NZ data compared favorably to previous studies, indicating the method was valid. The Tongan data is novel and indicates that alternative strategies can be used when access to GIS-type tools is limited. The method produced visual data that has the potential to be analyzed using strategies appropriate for secondary schools. The method should now be tested in classrooms to assess its potential to support school-age students to engage in mapping and critiquing the retail food environment.

Suggested Citation

  • Alvina F. Pauuvale & Mark H. Vickers & Soana Pamaka & Dorothy Apelu & ‘Anaseini Fehoko & Malakai ‘Ofanoa & Jacquie L. Bay, 2022. "Exploring the Retail Food Environment Surrounding Two Secondary Schools with Predominantly Pacific Populations in Tonga and New Zealand to Enable the Development of Mapping Methods Appropriate for Tes," IJERPH, MDPI, vol. 19(23), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15941-:d:988337
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15941/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15941/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Zaynel Sushil & Stefanie Vandevijvere & Daniel J. Exeter & Boyd Swinburn, 2017. "Food swamps by area socioeconomic deprivation in New Zealand: a national study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(8), pages 869-877, November.
    3. Chen, D. & Jaenicke, E.C. & Volpe, R.J., 2016. "Food environments and obesity: Household diet expenditure versus food deserts," American Journal of Public Health, American Public Health Association, vol. 106(5), pages 881-888.
    4. Arturo E. Osorio & Maria G. Corradini & Jerome D. Williams, 2013. "Remediating food deserts, food swamps, and food brownfields: helping the poor access nutritious, safe, and affordable food," AMS Review, Springer;Academy of Marketing Science, vol. 3(4), pages 217-231, December.
    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. 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.
    2. Mohamed Shabani Kariburyo & Lauri Andress & Alan Collins & Paul Kinder, 2020. "Place Effects and Chronic Disease Rates in a Rural State: Evidence from a Triangulation of Methods," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    3. Éric Robitaille & Marie-Claude Paquette, 2020. "Development of a Method to Locate Deserts and Food Swamps Following the Experience of a Region in Quebec, Canada," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    4. Sarah Gerritsen & Sophia Harré & Boyd Swinburn & David Rees & Ana Renker-Darby & Ann E. Bartos & Wilma E. Waterlander, 2019. "Systemic Barriers and Equitable Interventions to Improve Vegetable and Fruit Intake in Children: Interviews with National Food System Actors," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    5. 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.
    6. 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).
    7. 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.
    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. Dorceta E. Taylor & Ashley Bell & Destiny Treloar & Ashia Ajani & Marco Alvarez & Tevin Hamilton & Jayson Velazquez & Pwintphyu Nandar & Lily Fillwalk & Kerry J. Ard, 2024. "Defying the Food Desert, Food Swamp, and Supermarket Redlining Stereotypes in Detroit: Comparing the Distribution of Food Outlets in 2013 and 2023," Sustainability, MDPI, vol. 16(16), pages 1-59, August.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Wiki, Jesse & Kingham, Simon & Campbell, Malcolm, 2021. "A geospatial analysis of Type 2 Diabetes Mellitus and the food environment in urban New Zealand," Social Science & Medicine, Elsevier, vol. 288(C).
    15. 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.
    16. 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.
    17. Ana Contreras Navarro & María-Isabel Ortega Vélez, 2019. "Obesogenic Environment Case Study from a Food and Nutrition Security Perspective: Hermosillo City," IJERPH, MDPI, vol. 16(3), pages 1-16, January.
    18. Cattivelli, Valentina, 2022. "The contribution of urban garden cultivation to food self-sufficiency in areas at risk of food desertification during the Covid-19 pandemic," Land Use Policy, Elsevier, vol. 120(C).
    19. Lucine Francis & Nancy Perrin & Frank C. Curriero & Maureen M. Black & Jerilyn K. Allen, 2022. "Food Desert Status of Family Child Care Homes: Relationship to Young Children’s Food Quality," IJERPH, MDPI, vol. 19(11), pages 1-10, May.
    20. Bindong Sun & Xiajie Yao & Chun Yin, 2022. "An N-Shaped Association between Population Density and Abdominal 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:19:y:2022:i:23:p:15941-:d:988337. 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.