Work

Dietary Pattern Analysis Adapted to High-Frequency Longitudinal Grocery Purchasing Data: Dynamic Multivariate Poisson Lognormal Network Model

Year: 2026

Type: article

Abstract: Objectives: Dietary pattern analysis identifies sets of food items consumed together, typically using dietary recall. There is a lack of analysis describing the time-varying dietary patterns in grocery transactions among shoppers. Previously, we applied a data mining method to identify a pair of food items that were often bought together. Extending this work, our objective was to develop a dynamic food-network-based pattern analysis and apply it to loyalty-card transaction data.

Source: Current Developments in Nutrition

DOI: 10.1016/j.cdnut.2026.108758

Authors: Hiroshi Mamiya, Jamie McCormick, Eric D Kolaczyk

Institution: McGill University

Language: English

Topic: Nutritional Studies and Diet

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $5,000