SynthesisNutrition reviews2022
A systematic review of supermarket automated electronic sales data for population dietary surveillance.
Synthesis in Nutrition reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- The Effect of Food Vouchers and an Educational Intervention on Promoting Healthy Eating in Vulnerable Families: A Pilot Study.Nutrients · 2022Trial
- How big data analytics can strengthen large-scale food fortification and biofortification decision-making: A scoping review.Annals of the New York Academy of Sciences · 2025Article
- Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions.Journal of medical Internet research · 2025Article
- Exploring the feasibility of using school food purchase data as a method to assess dietary intakes in secondary school aged pupils.Public health nutrition · 2025Article
- Social inequalities in the use of online food delivery services and associations with weight status: cross-sectional analysis of survey and consumer data.BMJ public health · 2024Article
- Citizens' digital footprints to support health promotion at the local level-PUHTI study, Finland.European journal of public health · 2024Article
- Consumer Health Informatics to Advance Precision Prevention.Yearbook of medical informatics · 2024Review
- Relative validity of an intelligent ordering system to estimate dietary intake among university students from a medical school in Shanghai, China.The international journal of behavioral nutrition and physical activity · 2024Article
- Article
- Cohort profile: The Health, Food, Purchases and Lifestyle (SMIL) cohort - a Danish open cohort.BMJ open · 2024Article
- Detecting iodine deficiency risks from dietary transitions using shopping data.Scientific reports · 2024Article
- Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study.Journal of medical Internet research · 2023Article
- Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.Scientific reports · 2023Article
- Supermarket Transaction Records In Dietary Evaluation: the STRIDE study: validation against self-reported dietary intake.Public health nutrition · 2023Article
- Observational
- Algorithm-based mapping of products in a branded Canadian food and beverage database to their equivalents in Health Canada's Canadian Nutrient File.Frontiers in nutrition · 2022Article
- Exploring the Geographic Variation in Fruit and Vegetable Purchasing Behaviour Using Supermarket Transaction Data.Nutrients · 2021Article
- Dietary Patterns Derived from UK Supermarket Transaction Data with Nutrient and Socioeconomic Profiles.Nutrients · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextMost dietary assessment methods are limited by self-report biases, how long they take for participants to complete, and cost of time for dietitians to extract content. Electronically recorded, supermarket-obtained transactions are an objective measure of food purchases, with reduced bias and improved timeliness and scale.
objectiveThe use, breadth, context, and utility of electronic purchase records for dietary research is assessed and discussed in this systematic review. DATA SOURCES: Four electronic databases (MEDLINE, EMBASE, PsycINFO, Global Health) were searched. Included studies used electronically recorded supermarket transactions to investigate the diet of healthy, free-living adults. DATA EXTRACTION: Searches identified 3422 articles, of which 145 full texts were retrieved and 72 met inclusion criteria. Study quality was assessed using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. DATA ANALYSIS: Purchase records were used in observational studies, policy evaluations, and experimental designs. Nutrition outcomes included dietary patterns, nutrients, and food category sales. Transactions were linked to nutrient data from retailers, commercial data sources, and national food composition databases.
conclusionElectronic sales data have the potential to transform dietary assessment and worldwide understanding of dietary behavior. Validation studies are warranted to understand limits to agreement and extrapolation to individual-level diets. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42018103470.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.