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Assessing Household Lifestyle Exposures from Consumer Purchases, the My Purchases Cohort

Abstract

Consumer purchase data (CPD) is a promising instrument to assess the impact of purchases on health, but is limited by the need for manual scanning, a lack of access to data from multiple retailers, and limited information on product data and health outcomes. Here we describe the My Purchases cohort, a web-app enabled, prospective collection of CPD, covering several large retail chains in Denmark, that enables linkage to health outcomes. The cohort included 459 participants as of July 03, 2023. Up to eight years of CPD have been collected, with 2,225,010 products purchased, comprising 223,440 unique products. We matched 88.5% of all products by product name or item number to one generic food database and three product databases. Combined, the databases enable analysis of key exposures such as nutrients, ingredients, or additives. We found that increasing the number of retailers that provide CPD for each consumer improved the stability of individual CPD profiles and when we compared kilojoule information from generic and specific product matches, we found a median modified relative difference of 0.23. Combined with extensive product databases and health outcomes, CPD could provide the basis for extensive investigations of how what we buy affects our health.

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References
1.
Brewster P, Durward C, Hurdle J, Stoddard G, Guenther P . The Grocery Purchase Quality Index-2016 Performs Similarly to the Healthy Eating Index-2015 in a National Survey of Household Food Purchases. J Acad Nutr Diet. 2018; 119(1):45-56. DOI: 10.1016/j.jand.2018.08.165. View

2.
Vepsalainen H, Nevalainen J, Kinnunen S, Itkonen S, Meinila J, Mannisto S . Do we eat what we buy? Relative validity of grocery purchase data as an indicator of food consumption in the LoCard study. Br J Nutr. 2021; 128(9):1780-1788. DOI: 10.1017/S0007114521004177. View

3.
Dougherty P, Moller F, Ethelberg S, Ro G, Jore S . Simulation and identification of foodborne outbreaks in a large supermarket consumer purchase dataset. Sci Rep. 2022; 12(1):11491. PMC: 9263146. DOI: 10.1038/s41598-022-15584-x. View

4.
Moller F, Molbak K, Ethelberg S . Analysis of consumer food purchase data used for outbreak investigations, a review. Euro Surveill. 2018; 23(24). PMC: 6152197. DOI: 10.2807/1560-7917.ES.2018.23.24.1700503. View

5.
Thomas M, Moore J, Onuselogu D, Dalton A, Rains T, Lowry E . Supermarket top-up of Healthy Start vouchers increases fruit and vegetable purchases in low-income households. Nutr Bull. 2023; 48(3):353-364. DOI: 10.1111/nbu.12627. View