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The impact of calorific screening thresholds and weight status when validating UK supermarket transaction records in dietary evaluation: FIO-STRIDE.

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Τίτλος: The impact of calorific screening thresholds and weight status when validating UK supermarket transaction records in dietary evaluation: FIO-STRIDE.
Συγγραφείς: Sawczuk T; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk.; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, LBU, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk.; School of Food Science and Nutrition, University of Leeds, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk., Greatwood HC; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK., Gilthorpe MS; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Morris MA; School of Food Science and Nutrition, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK., Jenneson V; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; School of Geography, University of Leeds, Leeds, UK., Wilkins E; School of Food Science and Nutrition, University of Leeds, Leeds, UK., Green MA; Department of Geography and Planning, University of Liverpool, Liverpool, UK., Johnstone AM; Rowett Institute, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK., Griffiths C; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK.
Πηγή: International journal of obesity (2005) [Int J Obes (Lond)] 2026 Aug; Vol. 50 (8), pp. 1791-1798. Date of Electronic Publication: 2026 May 25.
Τύπος έκδοσης: Journal Article; Validation Study
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101256108 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5497 (Electronic) Linking ISSN: 03070565 NLM ISO Abbreviation: Int J Obes (Lond) Subsets: MEDLINE
Imprint Name(s): Original Publication: London : Nature Pub. Group, c2005-
Ιατρικοί όροι (MeSH): Energy Intake*/physiology , Obesity*/epidemiology , Food Markets*, United Kingdom/epidemiology ; Body Weight/physiology ; Humans ; Female ; Male ; Adult ; Middle Aged ; Surveys and Questionnaires ; Feeding Behavior ; Nutritive Value ; Self Report
Περίληψη: Background: Supermarket transaction data has the potential to provide a wide-scale understanding of population dietary behaviours, but its relationship with consumption is unclear as purchases are typically made at the household level while consumption occurs at the individual level. These behaviours may differ by weight status. This study assessed whether calorific screening thresholds improved the agreement between objective consumer purchase data and self-reported dietary intake for people living with (PLWOw/Obwith) and without (PLWOw/Obwithout) overweight/obesity.
Methods: Participants (N = 642) from a retailer's loyalty card database completed a 170-item food frequency questionnaire, shared transaction records, height, weight, and household composition data for this study. Nutrients (energy, sugar, total fat, saturated fat, protein, and sodium) from supermarket transaction purchases were allocated to the study individual proportionally based on their household composition. Bland-Altman analyses were used to assess the agreement and bias between objective consumer purchase data and self-reported dietary intake globally, and between PLWOw/Obwith and PLWOw/Obwithout, across a range of calorific screening thresholds.
Results: No agreement was identified between objective consumer purchase data and self-reported dietary intake for any of the nutrients when the data were analysed without screening thresholds. However, agreement was identified when screening thresholds were employed at ≥1000 Kcal/day (energy, sugar, total fat and saturated fat) or ≥1500 Kcal/day (protein and sodium). PLWOw/Obwith consumed greater energy (19%), sugar (36%), total fat (22%) and saturated fat (25%) than they were estimated to have purchased at the retailer. PLWOw/Obwithout only consumed more sugar (19%).
Conclusions: The application of screening thresholds based on estimated individual calories purchased may provide a valuable preprocessing step within the analysis of consumer purchase data, allowing agreement to be achieved for absolute nutrient values. Differences in bias between PLWOw/Obwith and PLWOw/Obwithout show that insights into purchase and consumption patterns can be identified using consumer purchase data.
(© 2026. The Author(s).)
Competing Interests: Competing interests: This work was conducted in partnership with a large UK grocery retailer. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the decision to publish the results; but are directly recognised through acknowledgement and did contribute to the final version of the manuscript. MSG is a director of Causal Insights Solutions Ltd, which provides causal inference research and training; the company and the author may therefore benefit from any study that demonstrates the value of causal inference methods. MAM is an inventor shareholder at Dietary Assessment Ltd, but to date has not received any income from the company and has no role in running the company.
References: J Health Psychol. 2019 Dec;24(14):2042-2059. (PMID: 28810493)
Public Health Nutr. 2003 May;6(3):313-21. (PMID: 12740081)
Int J Behav Nutr Phys Act. 2021 Jan 11;18(1):12. (PMID: 33430897)
Crit Rev Food Sci Nutr. 2023;63(12):1670-1688. (PMID: 34520300)
Public Health. 2025 Oct;247:105848. (PMID: 40617196)
Lancet. 2024 May 18;403(10440):2162-2203. (PMID: 38762324)
Nutr J. 2020 Aug 13;19(1):83. (PMID: 32791968)
Public Health Nutr. 2023 Dec;26(12):2663-2676. (PMID: 37671553)
Br J Nutr. 2007 Jun;97(6):1169-76. (PMID: 17433123)
Public Health Nutr. 2017 Feb;20(3):449-455. (PMID: 27618969)
Int J Obes (Lond). 2025 Jun;49(6):1043-1050. (PMID: 40057559)
J Am Diet Assoc. 2010 Jan;110(1):106-10. (PMID: 20102835)
Nutrients. 2021 Apr 27;13(5):. (PMID: 33925712)
Br J Nutr. 2022 Nov 14;128(9):1780-1788. (PMID: 34657639)
Stat Methods Med Res. 1999 Jun;8(2):135-60. (PMID: 10501650)
Entry Date(s): Date Created: 20260525 Date Completed: 20260811 Latest Revision: 20260814
Update Code: 20260814
PubMed Central ID: PMC13461337
DOI: 10.1038/s41366-026-02107-1
PMID: 42185656
Βάση Δεδομένων: MEDLINE
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  Data: The impact of calorific screening thresholds and weight status when validating UK supermarket transaction records in dietary evaluation: FIO-STRIDE.
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  Data: <searchLink fieldCode="AU" term="%22Sawczuk+T%22">Sawczuk T</searchLink>; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk.; Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, LBU, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk.; School of Food Science and Nutrition, University of Leeds, Leeds, UK. t.sawczuk@leedsbeckett.ac.uk.<br /><searchLink fieldCode="AU" term="%22Greatwood+HC%22">Greatwood HC</searchLink>; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Gilthorpe+MS%22">Gilthorpe MS</searchLink>; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Morris+MA%22">Morris MA</searchLink>; School of Food Science and Nutrition, University of Leeds, Leeds, UK.; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Jenneson+V%22">Jenneson V</searchLink>; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.; School of Geography, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Wilkins+E%22">Wilkins E</searchLink>; School of Food Science and Nutrition, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Green+MA%22">Green MA</searchLink>; Department of Geography and Planning, University of Liverpool, Liverpool, UK.<br /><searchLink fieldCode="AU" term="%22Johnstone+AM%22">Johnstone AM</searchLink>; Rowett Institute, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.<br /><searchLink fieldCode="AU" term="%22Griffiths+C%22">Griffiths C</searchLink>; Obesity Institute, School of Sport, Leeds Beckett University, Leeds, UK.
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  Data: Background: Supermarket transaction data has the potential to provide a wide-scale understanding of population dietary behaviours, but its relationship with consumption is unclear as purchases are typically made at the household level while consumption occurs at the individual level. These behaviours may differ by weight status. This study assessed whether calorific screening thresholds improved the agreement between objective consumer purchase data and self-reported dietary intake for people living with (PLWOw/Ob<subscript>with</subscript>) and without (PLWOw/Ob<subscript>without</subscript>) overweight/obesity.<br />Methods: Participants (N = 642) from a retailer's loyalty card database completed a 170-item food frequency questionnaire, shared transaction records, height, weight, and household composition data for this study. Nutrients (energy, sugar, total fat, saturated fat, protein, and sodium) from supermarket transaction purchases were allocated to the study individual proportionally based on their household composition. Bland-Altman analyses were used to assess the agreement and bias between objective consumer purchase data and self-reported dietary intake globally, and between PLWOw/Ob<subscript>with</subscript> and PLWOw/Ob<subscript>without</subscript>, across a range of calorific screening thresholds.<br />Results: No agreement was identified between objective consumer purchase data and self-reported dietary intake for any of the nutrients when the data were analysed without screening thresholds. However, agreement was identified when screening thresholds were employed at ≥1000 Kcal/day (energy, sugar, total fat and saturated fat) or ≥1500 Kcal/day (protein and sodium). PLWOw/Ob<subscript>with</subscript> consumed greater energy (19%), sugar (36%), total fat (22%) and saturated fat (25%) than they were estimated to have purchased at the retailer. PLWOw/Ob<subscript>without</subscript> only consumed more sugar (19%).<br />Conclusions: The application of screening thresholds based on estimated individual calories purchased may provide a valuable preprocessing step within the analysis of consumer purchase data, allowing agreement to be achieved for absolute nutrient values. Differences in bias between PLWOw/Ob<subscript>with</subscript> and PLWOw/Ob<subscript>without</subscript> show that insights into purchase and consumption patterns can be identified using consumer purchase data.<br /> (© 2026. The Author(s).)
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  Data: Competing interests: This work was conducted in partnership with a large UK grocery retailer. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the decision to publish the results; but are directly recognised through acknowledgement and did contribute to the final version of the manuscript. MSG is a director of Causal Insights Solutions Ltd, which provides causal inference research and training; the company and the author may therefore benefit from any study that demonstrates the value of causal inference methods. MAM is an inventor shareholder at Dietary Assessment Ltd, but to date has not received any income from the company and has no role in running the company.
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  Data: J Health Psychol. 2019 Dec;24(14):2042-2059. (PMID: <searchLink fieldCode="PM" term="%2228810493%22">28810493)</searchLink><br />Public Health Nutr. 2003 May;6(3):313-21. (PMID: <searchLink fieldCode="PM" term="%2212740081%22">12740081)</searchLink><br />Int J Behav Nutr Phys Act. 2021 Jan 11;18(1):12. (PMID: <searchLink fieldCode="PM" term="%2233430897%22">33430897)</searchLink><br />Crit Rev Food Sci Nutr. 2023;63(12):1670-1688. (PMID: <searchLink fieldCode="PM" term="%2234520300%22">34520300)</searchLink><br />Public Health. 2025 Oct;247:105848. (PMID: <searchLink fieldCode="PM" term="%2240617196%22">40617196)</searchLink><br />Lancet. 2024 May 18;403(10440):2162-2203. (PMID: <searchLink fieldCode="PM" term="%2238762324%22">38762324)</searchLink><br />Nutr J. 2020 Aug 13;19(1):83. (PMID: <searchLink fieldCode="PM" term="%2232791968%22">32791968)</searchLink><br />Public Health Nutr. 2023 Dec;26(12):2663-2676. (PMID: <searchLink fieldCode="PM" term="%2237671553%22">37671553)</searchLink><br />Br J Nutr. 2007 Jun;97(6):1169-76. (PMID: <searchLink fieldCode="PM" term="%2217433123%22">17433123)</searchLink><br />Public Health Nutr. 2017 Feb;20(3):449-455. (PMID: <searchLink fieldCode="PM" term="%2227618969%22">27618969)</searchLink><br />Int J Obes (Lond). 2025 Jun;49(6):1043-1050. (PMID: <searchLink fieldCode="PM" term="%2240057559%22">40057559)</searchLink><br />J Am Diet Assoc. 2010 Jan;110(1):106-10. (PMID: <searchLink fieldCode="PM" term="%2220102835%22">20102835)</searchLink><br />Nutrients. 2021 Apr 27;13(5):. (PMID: <searchLink fieldCode="PM" term="%2233925712%22">33925712)</searchLink><br />Br J Nutr. 2022 Nov 14;128(9):1780-1788. (PMID: <searchLink fieldCode="PM" term="%2234657639%22">34657639)</searchLink><br />Stat Methods Med Res. 1999 Jun;8(2):135-60. (PMID: <searchLink fieldCode="PM" term="%2210501650%22">10501650)</searchLink>
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