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Field Validation of Commercially Available Food Retailer Data in the Netherlands

Author

Listed:
  • Cesare Canalia

    (Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1117 de Boelelaan, Amsterdam, The Netherlands)

  • Maria Gabriela M. Pinho

    (Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1117 de Boelelaan, Amsterdam, The Netherlands
    Upstream Team, Amsterdam UMC, 1117 de Boelelaan, The Netherlands)

  • Jeroen Lakerveld

    (Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1117 de Boelelaan, Amsterdam, The Netherlands
    Upstream Team, Amsterdam UMC, 1117 de Boelelaan, The Netherlands
    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
    Faculty of Geosciences, Department of Human Geography and Spatial Planning, Utrecht University, 3508 TC Utrecht, The Netherlands)

  • Joreintje D. Mackenbach

    (Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1117 de Boelelaan, Amsterdam, The Netherlands
    Upstream Team, Amsterdam UMC, 1117 de Boelelaan, The Netherlands)

Abstract

The aim of this study was to validate a Dutch commercial dataset containing information on the types and locations of food retailers against field audit data. Field validation of a commercial dataset (“Locatus”) was conducted in February 2019. Data on the location and classification of food retailers were collected through field audits in 152 streets from four urban and four rural neighborhoods in the Netherlands. The classification of food retailers included eight types of grocery stores (e.g., supermarkets, bakeries) and four types of food outlets (e.g., cafés, take away restaurants). The commercial dataset in the studied area listed 322 food retailers, whereas the field audit counted 315 food retailers. Overall, the commercially available data showed “good” to “excellent” agreement statistics (>0.71) with field audit data for all three levels of analysis (i.e., location, classification and both combined) and across urban as well as rural areas. The commercial dataset under study provided an accurate description of the measured food environment. Therefore, policymakers and researchers should feel confident in using this commercial dataset as a source of secondary data.

Suggested Citation

  • Cesare Canalia & Maria Gabriela M. Pinho & Jeroen Lakerveld & Joreintje D. Mackenbach, 2020. "Field Validation of Commercially Available Food Retailer Data in the Netherlands," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1946-:d:333216
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    References listed on IDEAS

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