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Exploring the Geographic Variation in Fruit and Vegetable Purchasing Behaviour Using Supermarket Transaction Data.

Victoria Jenneson1,2, Graham P Clarke2, Darren C Greenwood1,3

  • 1Leeds Institute for Data Analytics, University of Leeds, Leeds LS2 9JT, UK.

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Summary

Dietary inequalities in fruit and vegetable purchasing exist. Lower purchasing in neighborhoods is linked to younger populations, lower affluence, and reduced spending with the retailer, indicating spatial patterns in food access.

Keywords:
dietary assessmentfood purchase behaviourfruit and vegetablesgeographic clusteringsupermarkettransaction data

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Area of Science:

  • Public Health Nutrition
  • Spatial Epidemiology
  • Food Access Studies

Background:

  • Dietary inequalities are a recognized public health issue.
  • Food purchasing behaviors are influenced by the food environment and exhibit spatial patterns.
  • Understanding these patterns is crucial for targeted health interventions.

Purpose of the Study:

  • To investigate spatial patterns of fruit and vegetable purchasing.
  • To identify neighborhood-level determinants of fruit and vegetable consumption.
  • To analyze the relationship between socioeconomic factors and purchasing habits.

Main Methods:

  • Utilized 12 months of supermarket loyalty card transaction data from ~50,000 primary cardholders in Leeds, England.
  • Employed multiple linear regression to identify determinants of small-area-level fruit and vegetable purchasing.
  • Analyzed purchasing data at the neighborhood level to understand spatial clustering.

Main Results:

  • Fruit and vegetable purchasing demonstrated significant spatial clustering across Leeds.
  • Neighborhoods with lower fruit and vegetable purchasing had younger residents.
  • Areas with reduced purchasing were characterized by lower socioeconomic status and less monthly spending with the retailer.

Conclusions:

  • Neighborhood socioeconomic status and resident demographics are significant predictors of fruit and vegetable purchasing.
  • Spatial analysis reveals disparities in healthy food acquisition.
  • Findings highlight the need for interventions addressing food environment inequalities.