Background: Higher cost of healthy foods may explain unhealthy dietary patterns in lower-income households. Unfortunately, combining food selection and nutrient intake data to price and expenditure is challenging. Food retailer's customer loyalty card data, linked to nutrient composition database, is a novel method for simultaneous exploration of food purchases, price, and nutrition.
Objectives: We studied the associations between perceived income adequacy (PIA) as a grouping variable with price (per kilogram or megajoule) and the volume of purchases (percentage of expenditure or energy) simultaneously as outcome variables for 17 most purchased food groups.
Methods: We used 1-year (2018) loyalty card data from the largest grocery chain in Finland. Participants were 28,783 loyalty cardholders who made ≥41% of food purchases from the retailer and answered an online questionnaire at the midpoint of data collection. The 5-level PIA described the perceived financial situation in the household. Energy and nutrient content of foods purchased were from the Finnish Food Composition Database Fineli. We calculated the Nutrient Rich Food Index per 100 g food using 11 nutrients. Trends in prices and expenditures between PIA levels were analyzed using 2-sided Jonckheere-Terpstra tests, with false discovery rate control (Benjamini-Hochberg method) and confounder adjustments (inverse probability weighting).
Results: Lower PIA participants selected cheaper foods per kilogram and megajoule within most food groups. They also favored unhealthy food groups cheap in energy [<1 € (USD 1.18)/MJ]. Despite lower purchase price, the expenditure (%) among lower PIA was higher on alcohol, snacks, sugar-sweetened beverages, and sweets and chocolates.
Conclusions: Participants with lower PIA showed stronger price awareness. It is crucial to consider the pricing of competing alternative food groups, when steering toward environmentally sustainable and healthier food purchases. Package labeling might also direct the selection of healthier choices among the less expensive items within a food group.
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http://dx.doi.org/10.1016/j.ajcnut.2024.03.003 | DOI Listing |
Prev Med
October 2024
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America. Electronic address:
Objectives: To assess if participation in a North Carolina produce prescription program for Supplemental Nutrition Assistance Program (SNAP) participants with diet-sensitive health conditions (SuperSNAP) is associated with changes in purchase composition and spending source.
Methods: This study used loyalty-card transaction data (October 2019-April 2022). We applied a linear mixed-effects model with overlap weights to perform a difference-indifferences analysis of purchases by SuperSNAP program enrollees compared to the control group.
Appetite
October 2024
Amsterdam UMC Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam Public Health, Amsterdam, Netherlands; Upstream Team, Amsterdam UMC, De Boelelaan 1117, Amsterdam, Netherlands.
Regular consumption of ultra-processed foods (UPF) is a risk factor for morbidity and mortality. UPF are widely available in supermarkets. Nudging and pricing strategies are promising strategies to promote healthier supermarket purchases and may reduce UPF purchases.
View Article and Find Full Text PDFBMJ Open
June 2024
Institute for Health Aging, Department of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Introduction: Adverse sexual and reproductive health (SRH) outcomes, such as unplanned pregnancies and HIV infection, disproportionately affect adolescent girls and young women (AGYW; aged 15-24 years) in east Africa. Increasing uptake of preventive SRH services via innovative, youth-centred interventions is imperative to addressing disparities in SRH outcomes.
Methods And Analysis: From 2018 to 2019, we used human-centred design to co-develop a theoretically driven HIV and pregnancy prevention intervention for AGYW at private drug shops called Accredited Drug Dispensing Outlets (ADDOs) in Tanzania.
Br J Nutr
September 2024
Department of Food and Nutrition, University of Helsinki, PO Box 66, 00014Helsinki, Finland.
Analysing customer loyalty card data is a novel method for assessing nutritional quality and changes in a population's food consumption. However, prior to its use, the thousands of grocery products available in stores must be reclassified from the retailer's original hierarchical structure into a structure that is suitable for the use of nutrition and health research. We created LoCard Food Classification (LCFC) and examined how it reflects the nutritional quality of the grocery product groups.
View Article and Find Full Text PDFAm J Clin Nutr
May 2024
Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.
Background: Higher cost of healthy foods may explain unhealthy dietary patterns in lower-income households. Unfortunately, combining food selection and nutrient intake data to price and expenditure is challenging. Food retailer's customer loyalty card data, linked to nutrient composition database, is a novel method for simultaneous exploration of food purchases, price, and nutrition.
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