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Dataset Information

Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montreal, Canada, 2015-2017.


ABSTRACT:

Background

Foods are not purchased in isolation but are normally co-purchased with other food products. The patterns of co-purchasing associations across a large number of food products have been rarely explored to date. Knowledge of such co-purchasing patterns will help evaluate nutrition interventions that might affect the purchasing of multiple food items while providing insights about food marketing activities that target multiple food items simultaneously.

Objective

To quantify the association of food products purchased with each of three food categories of public health importance: soda, fresh fruits and fresh vegetables using Association Rule Mining (ARM) followed by longitudinal regression analysis.

Methods

We obtained transaction data containing grocery purch

SUBMITTER: Mamiya H 

PROVIDER: S-EPMC11834544 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature