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Associations Between Exposure to Advertising of Foods High in Fats, Salt and Sugar and Purchase of Energy and Nutrients: a Cross-sectional Study

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Date 2024 Oct 10
PMID 39385433
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Abstract

Objective: To assess associations between self-reported advertising exposure to foods high in fats, salt and sugar and household purchases of energy, nutrients and specific product categories.

Design: A cross-sectional design was used. Advertising exposure data were gathered using a questionnaire administered to the main shopper of each household, and purchase data from supermarkets and other stores for these households were accessed for a 4-week period during February 2019.

Setting: Households in London and the North of England.

Participants: Representative households ( 1289) from the Kantar Fast Moving Consumer Goods Panel. Main shoppers were predominantly female (71 %), with a mean age of 54 years (±13).

Results: Linear regression models identified that exposure to foods high in fats, salt and sugar advertising through traditional mediums (including broadcast and print), but not digital, transport, recreational or functional mediums, was associated with greater purchases of energy (9779 kcal; 95 % CI 3515, 16 043), protein (416 g; 95 % CI 161, 671), carbohydrate (1164 g; 95 % CI 368, 1886) and sugar (514 g; 95 % CI 187, 841). Generalised linear models showed that individuals who reported exposure to sugary drink advertising were more likely to purchase sugary drinks (1·16; 95 % CI 2·94, 4·99) but did not purchase more energy or nutrients from sugary drinks. There was no evidence of associations between exposure to advertising for sugary cereals or sweet snacks and purchases from these categories.

Conclusions: There was a strong influence of traditional advertising and sugar-sweetened beverage advertising on household food and drink purchases, thus supporting the need for advertising restrictions across traditional formats and for sugary drinks specifically.

References
1.
Kelly B, Bosward R, Freeman B . Australian Children's Exposure to, and Engagement With, Web-Based Marketing of Food and Drink Brands: Cross-sectional Observational Study. J Med Internet Res. 2021; 23(7):e28144. PMC: 8314155. DOI: 10.2196/28144. View

2.
Sainsbury E, Colagiuri S, Magnusson R . An audit of food and beverage advertising on the Sydney metropolitan train network: regulation and policy implications. BMC Public Health. 2017; 17(1):490. PMC: 5440940. DOI: 10.1186/s12889-017-4433-2. View

3.
Kelly B, Vandevijvere S, Ng S, Adams J, Allemandi L, Bahena-Espina L . Global benchmarking of children's exposure to television advertising of unhealthy foods and beverages across 22 countries. Obes Rev. 2019; 20 Suppl 2:116-128. PMC: 6988129. DOI: 10.1111/obr.12840. View

4.
Mathur K, Agrawal R, Nagpure S, Deshpande D . Effect of artificial sweeteners on insulin resistance among type-2 diabetes mellitus patients. J Family Med Prim Care. 2020; 9(1):69-71. PMC: 7014832. DOI: 10.4103/jfmpc.jfmpc_329_19. View

5.
Evans R, Christiansen P, Finlay A, Jones A, Maden M, Boyland E . A systematic review and meta-analysis of the effect of digital game-based or influencer food and non-alcoholic beverage marketing on children and adolescents: Exploring hierarchy of effects outcomes. Obes Rev. 2023; 24(12):e13630. DOI: 10.1111/obr.13630. View