Identifying factors that shape whether digital food marketing appeals to children

Abstract Objective: Children are frequently exposed to unhealthy food marketing on digital media. This marketing contains features that often appeal to children, such as cartoons or bold colours. Additional factors can also shape whether marketing appeals to children. In this study, in order to asse...

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Bibliographic Details
Main Authors: Camilo E Valderrama (Author), Dana Lee Olstad (Author), Yun Yun Lee (Author), Joon Lee (Author)
Format: Book
Published: Cambridge University Press, 2023-06-01T00:00:00Z.
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001 doaj_c13ded2f17814f68a57bc2c36b2b2392
042 |a dc 
100 1 0 |a Camilo E Valderrama  |e author 
700 1 0 |a Dana Lee Olstad  |e author 
700 1 0 |a Yun Yun Lee  |e author 
700 1 0 |a Joon Lee  |e author 
245 0 0 |a Identifying factors that shape whether digital food marketing appeals to children 
260 |b Cambridge University Press,   |c 2023-06-01T00:00:00Z. 
500 |a 10.1017/S1368980023000642 
500 |a 1368-9800 
500 |a 1475-2727 
520 |a Abstract Objective: Children are frequently exposed to unhealthy food marketing on digital media. This marketing contains features that often appeal to children, such as cartoons or bold colours. Additional factors can also shape whether marketing appeals to children. In this study, in order to assess the most important predictors of child appeal in digital food marketing, we used machine learning to examine how marketing techniques and children's socio-demographic characteristics, weight, height, BMI, frequency of screen use and dietary intake influence whether marketing instances appeal to children. Design: We conducted a pilot study with thirty-nine children. Children were divided into thirteen groups, in which they evaluated whether food marketing instances appealed to them. Children's agreement was measured using Fleiss' kappa and the S score. Text, labels, objects and logos extracted from the ads were combined with children's variables to build four machine-learning models to identify the most important predictors of child appeal. Setting: Households in Calgary, Alberta, Canada. Participants: 39 children aged 6-12 years. Results: Agreement between children was low. The models indicated that the most important predictors of child appeal were the text and logos embedded in the food marketing instances. Other important predictors included children's consumption of vegetables and soda, sex and weekly hours of television. Conclusions: Text and logos embedded in the food marketing instances were the most important predictors of child appeal. The low agreement among children shows that the extent to which different marketing strategies appeal to children varies. 
546 |a EN 
690 |a Food marketing 
690 |a Digital media 
690 |a Child appeal 
690 |a Machine learning 
690 |a Public aspects of medicine 
690 |a RA1-1270 
690 |a Nutritional diseases. Deficiency diseases 
690 |a RC620-627 
655 7 |a article  |2 local 
786 0 |n Public Health Nutrition, Vol 26, Pp 1125-1142 (2023) 
787 0 |n https://www.cambridge.org/core/product/identifier/S1368980023000642/type/journal_article 
787 0 |n https://doaj.org/toc/1368-9800 
787 0 |n https://doaj.org/toc/1475-2727 
856 4 1 |u https://doaj.org/article/c13ded2f17814f68a57bc2c36b2b2392  |z Connect to this object online.