ArticleNutrition journal2022
Longitudinal trends in produce purchasing behavior: a descriptive study of transaction level data from loyalty card households.
Article in Nutrition journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Supermarket Loyalty Card Data for Delivering and Evaluating Dietary Interventions: A Narrative Review.International journal of population data science · 2026Review
- Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions.Journal of medical Internet research · 2025Article
- Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montréal, Canada, 2015-2017.The international journal of behavioral nutrition and physical activity · 2025Article
- The dynamics in food selection stemming from price awareness and perceived income adequacy: a cross-sectional study using 1-year loyalty card data.The American journal of clinical nutrition · 2024Article
- Cohort profile: The Health, Food, Purchases and Lifestyle (SMIL) cohort - a Danish open cohort.BMJ open · 2024Article
- Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.Scientific reports · 2023Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundHousehold food purchases (HFP) are in the pathway between the community food environment and the foods available in households for consumption. As such, HFP data have emerged as alternatives to monitor population dietary trends over-time. In this paper, we investigate the use of loyalty card datasets as unexplored sources of continuously collected HFP data to describe temporal trends in household produce purchases.
methodsWe partnered with a grocery store chain to obtain a loyalty card database with grocery transactions by household from January 2016-October 2018. We included households in an urban county with complete observations for head of household age group, household income group, and family size. Data were summarized as weighted averages (95% CI) of percent produce purchased out of all foods purchased by household per month. We modeled seasonal and linear trends in the proportion of produce purchases by age group and income while accounting for repeated observations per household using generalized estimating equations.
resultsThere are 290,098 households in the database (88% of all county households). At baseline, the smallest and largest percent produce purchases are observed among the youngest and lowest income (12.2%, CI 11.1; 13.3) and the oldest and highest income households (19.3, CI 18.9; 19.6); respectively. The seasonal variations are consistent in all age and income groups with an April-June peak gradually descending until December. However, the average linear change in percent produce purchased per household per year varies by age and income being the steepest among the youngest households at each income level (from 1.42%, CI 0.98;1.8 to 0.69%, CI 0.42;0.95) while the oldest households experience almost no annual change.
conclusionsWe explored the potential of a collaboration with a food retailer to use continuously collected loyalty card data for public health nutrition purposes. Our findings suggest a trend towards a healthier pattern in long-term food purchases and household food availability among the youngest households that may lessen the population chronic disease burden if sustained. Understanding the foods available for consumption within households allows public health advocates to develop and evaluate policies and programs promoting foods and nutrients along the life course.
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