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Supermarket Transaction Records In Dietary Evaluation: the STRIDE study: validation against self-reported dietary
Victoria Jenneson1,2, Darren C Greenwood1,3, Graham P Clarke2
1Leeds Institute for Data Analytics, Level 11 Worsley Building, Clarendon Way, University of Leeds, LeedsLS2 9JT, UK.
Supermarket purchase data can estimate population diet, but agreement with actual intake varies widely. Relative nutrient values show stronger agreement, suggesting utility for large-scale dietary monitoring.
Area of Science:
- Nutritional Science
- Public Health
- Data Science
Background:
- Accurate population dietary monitoring is crucial for public health.
- Scalable methods are needed to assess dietary intake across large populations.
- Supermarket transaction data offers a potential scalable data source.
Purpose of the Study:
- To compare dietary estimates derived from supermarket transactions with those from an online Food Frequency Questionnaire (FFQ).
- To evaluate the utility of the Supermarket Transaction Records In Dietary Evaluation (STRIDE) study for population dietary monitoring.
Main Methods:
- Recruited 1788 participants from a UK retailer's loyalty database across four UK regions.
- Collected 1 year of purchase data during and 1 year prior to the study.
- Calculated Bland-Altman agreement and limits of agreement (LoA) for key nutrients (absolute and relative).
Main Results:
- Analysis included 686 participants (72% female, mean age 56).
- Absolute nutrient intake estimates from purchases showed wide LoA, with significant over- and under-estimation.
- Relative (energy-adjusted) nutrient estimates demonstrated smaller LoA, indicating better agreement.
Conclusions:
- Agreement between supermarket purchases and actual dietary intake is highly variable.
- Relative nutrient values from purchases show stronger agreement, particularly for smaller, loyal households.
- Relative nutrient purchases may serve as a reasonable proxy for dietary composition in population-level research.
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