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Annual Review of Nutrition

Volume 44, 2024

Unhealthy Food and Beverage Marketing to Children in the Digital Age: Global Research and Policy Challenges and Priorities

Abstract

Food and nonalcoholic beverage marketing is implicated in poor diet and obesity in children. The rapid growth and proliferation of digital marketing has resulted in dramatic changes to advertising practices and children's exposure. The constantly evolving and data-driven nature of digital food marketing presents substantial challenges for researchers seeking to quantify the impact on children and for policymakers tasked with designing and implementing restrictive policies. We outline the latest evidence on children's experience of the contemporary digital food marketing ecosystem, conceptual frameworks guiding digital food marketing research, the impact of digital food marketing on dietary outcomes, and the methods used to determine impact, and we consider the key research and policy challenges and priorities for the field. Recent methodological and policy developments represent opportunities to apply novel and innovative solutions to address this complex issue, which could drive meaningful improvements in children's dietary health.

Keyword(s): child, digital, food, marketing, policy, research
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/content/journals/10.1146/annurev-nutr-062322-014102
2024-08-29
2025-04-28
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Literature Cited

  1. 1.
    Agante L, Pascoal A. 2019.. How much is “too much” for a brand to use an advergame with children?. J. Prod. Brand Manag. 28::287–99
     [Crossref] [Google Scholar]
  2. 2.
    Alhabash S, McAlister AR, Quilliam ET, Richards JI, Lou C. 2015.. Alcohol's getting a bit more social: when alcohol marketing messages on Facebook increase young adults’ intentions to imbibe. . Mass Commun. Soc. 18::350–75
     [Crossref] [Google Scholar]
  3. 3.
    Ares G, Antúnez L, de León C, Alcaire F, Vidal L, et al. 2022.. ‘ Even if you don't pay attention to it, you know it's there’: a qualitative exploration of adolescents' experiences with digital food marketing. . Appetite 176::106128
     [Crossref] [Google Scholar]
  4. 4.
    Arya V, Sambyal R, Sharma A, Dwivedi YK. 2024.. Brands are calling your AVATAR in Metaverse—a study to explore XR-based gamification marketing activities & consumer-based brand equity in virtual world. . J. Cons. Behav. 23::55685
     [Crossref] [Google Scholar]
  5. 5.
    Backholer K, Gupta A, Zorbas C, Bennett R, Huse O, et al. 2021.. Differential exposure to, and potential impact of, unhealthy advertising to children by socio-economic and ethnic groups: a systematic review of the evidence. . Obes. Rev. 22::e13144
     [Crossref] [Google Scholar]
  6. 6.
    Baldwin HJ, Freeman B, Kelly B. 2018.. Like and share: associations between social media engagement and dietary choices in children. . Public Health Nutr. 21::3210–15
     [Crossref] [Google Scholar]
  7. 7.
    Barker AB, Parkin M, Sinha S, Wilson E, Murray RL. 2022.. A content analysis of ‘junk food’ content in children's TV programmes: a comparison of UK broadcast TV and video-on-demand services. . J. Public Health 44::e506–13
     [Crossref] [Google Scholar]
  8. 8.
    Barry TE, Howard DJ. 1990.. A review and critique of the hierarchy of effects in advertising. . Int. J. Advert. 9::121–35
     [Crossref] [Google Scholar]
  9. 9.
    Bates S, Reeve B, Trevena H. 2023.. A narrative review of online food delivery in Australia: challenges and opportunities for public health nutrition policy. . Public Health Nutr. 26::262–72
     [Crossref] [Google Scholar]
  10. 10.
    Baumgartner SE, Weeda WD, van der Heijden LL, Huizinga M. 2014.. The relationship between media multitasking and executive function in early adolescents. . J. Early Adolesc. 34::1120–44
     [Crossref] [Google Scholar]
  11. 11.
    Binet L, Field P. 2009.. Empirical generalizations about advertising campaign success. . J. Advert. Res. 49::130–33
     [Crossref] [Google Scholar]
  12. 12.
    Boswell RG, Kober H. 2016.. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. . Obes. Rev. 17::159–77
     [Crossref] [Google Scholar]
  13. 13.
    Boyland E, Maden M, Coates AE, Masterson TD, Alblas MC, et al. 2023.. Food and non-alcoholic beverage marketing in children and adults: a systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies. . Obes. Rev. 25::e13643
     [Crossref] [Google Scholar]
  14. 14.
    Boyland E, McGale L, Maden M, Hounsome J, Boland A, et al. 2022.. Association of food and nonalcoholic beverage marketing with children and adolescents’ eating behaviors and health: a systematic review and meta-analysis. . JAMA Pediatr. 176::e221037
     [Crossref] [Google Scholar]
  15. 15.
    Boyland E, McGale L, Maden M, Hounsome J, Boland A, Jones A. 2022.. Systematic review of the effect of policies to restrict the marketing of foods and non-alcoholic beverages to which children are exposed. . Obes. Rev. 23::e13447
     [Crossref] [Google Scholar]
  16. 16.
    Boyland E, Muc M, Kelly B, Halford JCG, Vohra J, et al. 2021.. Indirect associations between commercial television exposure and child body mass index. . J. Nutr. Educ. Behav. 53::20–27
     [Crossref] [Google Scholar]
  17. 17.
    Boyland E, Tatlow-Golden M. 2017.. Exposure, power and impact of food marketing on children: evidence supports strong restrictions. . Eur. J. Risk Regul. 8::224–36
     [Crossref] [Google Scholar]
  18. 18.
    Boyland E, Thivel D, Mazur A, Ring-Dimitriou S, Frelut M-L, et al. 2020.. Digital food marketing to young people: a substantial public health challenge. . Ann. Nutr. Metab. 76::6–9
     [Crossref] [Google Scholar]
  19. 19.
    Boyland EJ, Nolan S, Kelly B, Tudur-Smith C, Jones A, et al. 2016.. Advertising as a cue to consume: a systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults. . Am. J. Clin. Nutr. 103::519–33
     [Crossref] [Google Scholar]
  20. 20.
    Bragg M, Lutfeali S, Greene T, Osterman J, Dalton M. 2021.. How food marketing on instagram shapes adolescents’ food preferences: online randomized trial. . J. Med. Internet Res. 23::e28689
     [Crossref] [Google Scholar]
  21. 21.
    Bragg MA, Pageot YK, Amico A, Miller AN, Gasbarre A, et al. 2020.. Fast food, beverage, and snack brands on social media in the United States: an examination of marketing techniques utilized in 2000 brand posts. . Pediatr. Obes. 15::e12606
     [Crossref] [Google Scholar]
  22. 22.
    Bragg MA, Roberto CA, Harris JL, Brownell KD, Elbel B. 2018.. Marketing food and beverages to youth through sports. . J. Adolesc. Health 62::5–13
     [Crossref] [Google Scholar]
  23. 23.
    Brooks R, Christidis R, Carah N, Kelly B, Martino F, Backholer K. 2022.. Turning users into ‘unofficial brand ambassadors’: marketing of unhealthy food and non-alcoholic beverages on TikTok. . BMJ Global Health 7::e009112
     [Crossref] [Google Scholar]
  24. 24.
    Brooks R, Nguyen D, Bhatti A, Allender S, Johnstone M, et al. 2022.. Use of artificial intelligence to enable dark nudges by transnational food and beverage companies: analysis of company documents. . Public Health Nutr. 25::1291–99
     [Crossref] [Google Scholar]
  25. 25.
    Buchanan L, Kelly B, Yeatman H, Kariippanon K. 2018.. The effects of digital marketing of unhealthy commodities on young people: a systematic review. . Nutrients 10::148
     [Crossref] [Google Scholar]
  26. 26.
    Cairns G. 2019.. A critical review of evidence on the sociocultural impacts of food marketing and policy implications. . Appetite 136::193–207
     [Crossref] [Google Scholar]
  27. 27.
    Castronuovo L, Guarnieri L, Tiscornia MV, Allemandi L. 2021.. Food marketing and gender among children and adolescents: a scoping review. . Nutr. J. 20::52
     [Crossref] [Google Scholar]
  28. 28.
    Cervi MM, Agurs-Collins T, Dwyer LA, Thai CL, Moser RP, Nebeling LC. 2017.. Susceptibility to food advertisements and sugar-sweetened beverage intake in non-Hispanic black and non-Hispanic white adolescents. . J. Community Health 42::748–56
     [Crossref] [Google Scholar]
  29. 29.
    Chaffey D. 2022.. Introducing the RACE Growth System and RACE Planning Framework: practical tools to improve your digital marketing using RACE. . Smart Insights, . https://www.smartinsights.com/digital-marketing-strategy/race-a-practical-framework-to-improve-your-digital-marketing/
    [Google Scholar]
  30. 30.
    Cheah CSL, Barman S, Vu KTT, Jung SE, Mandalapu V, et al. 2020.. Validation of a virtual reality buffet environment to assess food selection processes among emerging adults. . Appetite 153::104741
     [Crossref] [Google Scholar]
  31. 31.
    Chieng F, Lee CG. 2011.. Customer-based brand equity: a literature review. . J. Arts Sci. Commer. 2::33–42
     [Google Scholar]
  32. 32.
    Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. 2019.. The effect of influencer marketing of food and a “protective” advertising disclosure on children's food intake. . Pediatr. Obes. 14::e12540
     [Crossref] [Google Scholar]
  33. 33.
    Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. 2019.. Food and beverage cues featured in YouTube videos of social media influencers popular with children: an exploratory study. . Front. Psychol. 10::2142
     [Crossref] [Google Scholar]
  34. 34.
    Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. 2019.. Social media influencer marketing and children's food intake: a randomized trial. . Pediatrics 143::e20182554
     [Crossref] [Google Scholar]
  35. 35.
    Coates AE, Hardman CA, Halford JCG, Christiansen P, Boyland EJ. 2020.. “ It's just addictive people that make addictive videos”: children's understanding of and attitudes towards influencer marketing of food and beverages by YouTube video bloggers. . Int. J. Environ. Res. Public Health 17::449
     [Crossref] [Google Scholar]
  36. 36.
    Cochrane. 2023.. PROGRESS-Plus. . Cochrane Equity Methods Group. https://methods.cochrane.org/equity/projects/evidence-equity/progress-plus
    [Google Scholar]
  37. 37.
    de Leeuw E, Clavier C, Breton E. 2014.. Health policy—why research it and how: health political science. . Health Res. Policy Syst. 12::55
     [Crossref] [Google Scholar]
  38. 38.
    De Veirman M, Hudders L, Nelson MR. 2019.. What is influencer marketing and how does it target children? A review and direction for future research. . Front. Psychol. 10::2685
     [Crossref] [Google Scholar]
  39. 39.
    Djojosoeparto SK, Kamphuis CBM, Harrington JM, Løvhaug AL, Roos G, et al. 2022.. How theory can help to understand the potential impact of food environment policies on socioeconomic inequalities in diet: an application of Bourdieu's capital theory and the scarcity theory. . Eur. J. Public Health 32:(Suppl. 4):iv66–70
     [Crossref] [Google Scholar]
  40. 40.
    Dunford EK, Kelly B, Jones A. 2023.. Could Google help curb online advertising of unhealthy foods to U.S. children?. Am. J. Prev. Med. 66::64–72
     [Crossref] [Google Scholar]
  41. 41.
    Dwivedi YK, Hughes L, Wang Y, Alalwan AA, Ahn SJ, et al. 2023.. Metaverse marketing: how the metaverse will shape the future of consumer research and practice. . Psychol. Market. 40::750–76
     [Crossref] [Google Scholar]
  42. 42.
    Edwards CG, Pollack CC, Pritschet SJ, Haushalter K, Long JW, Masterson TD. 2022.. Prevalence and comparisons of alcohol, candy, energy drink, snack, soda, and restaurant brand and product marketing on Twitch, Facebook Gaming and YouTube Gaming. . Public Health Nutr. 25::1–12
     [Crossref] [Google Scholar]
  43. 43.
    Elliott C, Truman E, Black JE. 2023.. Tracking teen food marketing: participatory research to examine persuasive power and platforms of exposure. . Appetite 186::106550
     [Crossref] [Google Scholar]
  44. 44.
    Evans R, Christiansen P, Masterson T, Pollack C, Albadri S, Boyland E. 2023.. Recall of food marketing on videogame livestreaming platforms: associations with adolescent diet-related behaviours and health. . Appetite 186::106584
     [Crossref] [Google Scholar]
  45. 45.
    Evans RK, Christiansen P, Finlay A, Jones A, Maden M, Boyland E. 2023.. 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::e13630
     [Crossref] [Google Scholar]
  46. 46.
    FHI Solut. 2021.. VIVID: virtual violations detector. . FHI Solutions. https://www.fhisolutions.org/innovation/vivid-virtual-violations-detector/
    [Google Scholar]
  47. 47.
    Fleming-Milici F, Harris JL. 2020.. Adolescents’ engagement with unhealthy food and beverage brands on social media. . Appetite 146::104501
     [Crossref] [Google Scholar]
  48. 48.
    Folkvord F, Anschütz DJ, Boyland E, Kelly B, Buijzen M. 2016.. Food advertising and eating behavior in children. . Curr. Opin. Behav. Sci. 9::26–31
     [Crossref] [Google Scholar]
  49. 49.
    Folkvord F, van ‘t Riet J. 2018.. The persuasive effect of advergames promoting unhealthy foods among children: a meta-analysis. . Appetite 129::245–51
     [Crossref] [Google Scholar]
  50. 50.
    Forman J, Halford JCG, Summe H, MacDougall M, Keller KL. 2009.. Food branding influences ad libitum intake differently in children depending on weight status. Results of a pilot study. . Appetite 53::76–83
     [Crossref] [Google Scholar]
  51. 51.
    Freeman B, Kelly B, Vandevijvere S, Baur L. 2015.. Young adults: beloved by food and drink marketers and forgotten by public health?. Health Promot. Int. 31::954–61
     [Google Scholar]
  52. 52.
    Friestad M, Wright P. 1994.. The persuasion knowledge model: how people cope with persuasion attempts. . J. Consumer Res. 21::1–31
     [Crossref] [Google Scholar]
  53. 53.
    Garde A. 2018.. Global health law and non-communicable disease prevention: maximizing opportunities by understanding constraints. . In Research Handbook on Global Health Law, ed. GL Burci, B Toebes , 389426. Cheltenham, UK:: Edward Elgar Publishing
     [Google Scholar]
  54. 54.
    GBD 2019 Risk Factors Collab. 2020.. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. . Lancet 396::1223–49
     [Crossref] [Google Scholar]
  55. 55.
    George A. 2018.. An unwelcome seat at the table: the role of big food in public and private standard-setting and its implications for NCD regulation. . QUT Law Rev. 18::156–68
     [Crossref] [Google Scholar]
  56. 56.
    Glanbia Nutr. 2021.. How food and beverage manufacturers can level up in the esports market. . Glanbia Nutrionals. https://www.glanbianutritionals.com/en/nutri-knowledge-center/insights/how-food-and-beverage-manufacturers-can-level-esports-market
    [Google Scholar]
  57. 57.
    Gov. Canada. 2023.. Policy update on restricting food advertising primarily directed at children: overview. . Health Canada. https://www.canada.ca/en/health-canada/services/food-nutrition/healthy-eating-strategy/policy-update-restricting-food-advertising-primarily-directed-children.html
    [Google Scholar]
  58. 58.
    Gregori D, Lorenzoni G, Ballali S, Vecchio MG, Verduci E, Berchialla P. 2015.. Is brand visibility on snacks affecting their consumption in children? Results from an experimental ad-libitum study. . FASEB J. 29:(S1):264.8 ( Abstr. )
     [Crossref] [Google Scholar]
  59. 59.
    Grier SA, Mensinger J, Huang SH, Kumanyika SK, Stettler N. 2007.. Fast-food marketing and children's fast-food consumption: exploring parents' influence in an ethnically diverse sample. . J. Public Policy Market. 26::221–35
     [Crossref] [Google Scholar]
  60. 60.
    Gupta H, Lam T, Pettigrew S, Tait RJ. 2018.. The association between exposure to social media alcohol marketing and youth alcohol use behaviors in India and Australia. . BMC Public Health 18::726
     [Crossref] [Google Scholar]
  61. 61.
    Harris JL, Brownell KD, Bargh JA. 2009.. The food marketing defense model: integrating psychological research to protect youth and inform public policy. . Soc. Issues Policy Rev. 3::211–71
     [Crossref] [Google Scholar]
  62. 62.
    Deleted in proof
  63. 63.
    Harris JL, Yokum S, Fleming-Milici F. 2021.. Hooked on junk: emerging evidence on how food marketing affects adolescents’ diets and long-term health. . Curr. Addict. Rep. 8::19–27
     [Crossref] [Google Scholar]
  64. 64.
    Pettit H. 2022.. Coca-Cola launches virtual drink inside the metaverse and you can try it TODAY. . New York Post, Apr. 5. https://nypost.com/2022/04/05/coca-cola-launches-virtual-drink-inside-the-metaverse/
    [Google Scholar]
  65. 65.
    Haushalter K, Pritschet SJ, Long JW, Edwards CG, Boyland EJ, et al. 2023.. User engagement with a popular food brand before, during and after a multi-day interactive marketing campaign on a popular live streaming platform. . Public Health Nutr. 26::716–24
     [Crossref] [Google Scholar]
  66. 66.
    Horta PM, Rodrigues FT, dos Santos LC. 2018.. Ultra-processed food product brands on Facebook pages: highly accessed by Brazilians through their marketing techniques. . Public Health Nutr. 21::1515–19
     [Crossref] [Google Scholar]
  67. 67.
    Horta PM, de Paula Matos Souza J, Rocha LL, Mendes LL. 2021.. Digital food environment of a Brazilian metropolis: food availability and marketing strategies used by delivery apps. . Public Health Nutr. 24::544–48
     [Crossref] [Google Scholar]
  68. 68.
    Int. Food Policy Study. 2023.. University of Waterloo. https://foodpolicystudy.com/about/
    [Google Scholar]
  69. 69.
    Jones SC, Robinson L, Barrie L, Francis K, Lee JK. 2016.. Association between young Australian's drinking behaviours and their interactions with alcohol brands on Facebook: results of an online survey. . Alcohol Alcohol. 51::474–80
     [Crossref] [Google Scholar]
  70. 70.
    Joy A, Zhu Y, Peña C, Brouard M. 2022.. Digital future of luxury brands: metaverse, digital fashion, and non-fungible tokens. . Strateg. Change 31::337–43
     [Crossref] [Google Scholar]
  71. 71.
    Kelly B, Backholer K, Boyland E, Kent MP, Bragg MA, et al. 2023.. Contemporary approaches for monitoring food marketing to children to progress policy actions. . Curr. Nutr. Rep. 12::14–25
     [Crossref] [Google Scholar]
  72. 72.
    Kelly B, Bosward R, Freeman B. 2021.. Australian children's exposure to, and engagement with, web-based marketing of food and drink brands: cross-sectional observational study. . J. Med. Internet Res. 23::e28144
     [Crossref] [Google Scholar]
  73. 73.
    Kelly B, Boyland E, King L, Bauman A, Chapman K, Hughes C. 2019.. Children's exposure to television food advertising contributes to strong brand attachments. . Int. J. Environ. Res. Public Health 16:(13):2358
     [Crossref] [Google Scholar]
  74. 74.
    Kelly B, Freeman B, King L, Chapman K, Baur LA, Gill T. 2016.. Television advertising, not viewing, is associated with negative dietary patterns in children. . Pediatr. Obes 11::158–60
     [Crossref] [Google Scholar]
  75. 75.
    Kelly B, King ML, Chapman MNDK, Boyland E, Bauman AE, Baur LA. 2015.. A hierarchy of unhealthy food promotion effects: identifying methodological approaches and knowledge gaps. . Am. J. Public Health 105::e86–95
     [Crossref] [Google Scholar]
  76. 76.
    Kelly B, Vandevijvere S, Ng S, Adams J, Allemandi L, et al. 2019.. Global benchmarking of children's exposure to television advertising of unhealthy foods and beverages across 22 countries. . Obes. Rev. 20::116–28
     [Crossref] [Google Scholar]
  77. 77.
    Kraak V, Zhou M, Rincón-Gallardo Patiño S. 2020.. Digital marketing to young people: consequences for the health and diets of future generations. . UNSCN Nutr. 45::9–24
     [Google Scholar]
  78. 78.
    Kumar G, Onufrak S, Zytnick D, Kingsley B, Park S. 2015.. Self-reported advertising exposure to sugar-sweetened beverages among US youth. . Public Health Nutr. 18::1173–79
     [Crossref] [Google Scholar]
  79. 79.
    Lacy-Nichols J, Marten R, Crosbie E, Moodie R. 2022.. The public health playbook: ideas for challenging the corporate playbook. . Lancet Global Health 10::e1067–72
     [Crossref] [Google Scholar]
  80. 80.
    Matz SC, Kosinski M, Nave G, Stillwell DJ. 2017.. Psychological targeting as an effective approach to digital mass persuasion. . PNAS 114::12714–19
     [Crossref] [Google Scholar]
  81. 81.
    Mc Carthy CM, de Vries R, Mackenbach JD. 2022.. The influence of unhealthy food and beverage marketing through social media and advergaming on diet-related outcomes in children—a systematic review. . Obes. Rev. 23::e13441
     [Crossref] [Google Scholar]
  82. 82.
    Meilan y Fernandez M, Februhartanty J, Bardosono S. 2019.. Association between food marketing exposure and consumption of confectioneries among pre-school children in Jakarta. . Malaysia J. Nutr. 25:(Suppl.):63–73
     [Google Scholar]
  83. 83.
    Mekonnen DA, Achterbosch T, Ruben R. 2022.. Social status and the consumption of highly processed foods in Nigeria. . Q. Open 3::qoac036
     [Crossref] [Google Scholar]
  84. 84.
    Natl. Cent. Educ. Stat. 2023.. Children's internet access at home. . Institute of Education Sciences. https://nces.ed.gov/programs/coe/indicator/cch
    [Google Scholar]
  85. 85.
    NCD Risk Factor Collab. 2017.. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. . Lancet 390::2627–42
     [Crossref] [Google Scholar]
  86. 86.
    Neyens E, Smits T, Boyland E. 2017.. Transferring game attitudes to the brand: persuasion from age 6 to 14. . Int. J. Advert. 36::724–42
     [Crossref] [Google Scholar]
  87. 87.
    Nieto C, Espinosa F, Valero-Morales I, Boyland E, Potvin Kent M, et al. 2023.. Digital food and beverage marketing appealing to children and adolescents: an emerging challenge in Mexico. . Pediatr. Obes. 18::e13036
     [Crossref] [Google Scholar]
  88. 88.
    Norman J, Kelly B, McMahon A-T, Boyland E, Baur LA, et al. 2018.. Sustained impact of energy-dense TV and online food advertising on children's dietary intake: a within-subject, randomised, crossover, counter-balanced trial. . Int. J. Behav. Nutr. Phys. Act. 15::37
     [Crossref] [Google Scholar]
  89. 89.
    Norman JA, Kelly B, Boyland EJ, McMahon AT. 2016.. The impact of marketing and advertising on food behaviours: evaluating the evidence for a causal relationship. . Curr. Nutr. Rep. 5::139–49
     [Crossref] [Google Scholar]
  90. 90.
    O'Neal S. 2016.. The personal-data tsunami and the future of marketing. A moments-based marketing approach for the new people-data economy. . J. Advert. Res. 56::136–41
     [Crossref] [Google Scholar]
  91. 91.
    Ofcom (UK Off. Commun.). 2022.. Children and parents: media use and attitudes report. Rep. , Ofcom, London:. https://www.ofcom.org.uk/__data/assets/pdf_file/0024/234609/childrens-media-use-and-attitudes-report-2022.pdf
    [Google Scholar]
  92. 92.
    Olstad DL, Lee J. 2020.. Leveraging artificial intelligence to monitor unhealthy food and brand marketing to children on digital media. . Lancet Child Adolesc. Health 4::418–20
     [Crossref] [Google Scholar]
  93. 93.
    Packer J, Croker H, Goddings A-L, Boyland EJ, Stansfield C, et al. 2022.. Advertising and young people's critical reasoning abilities: systematic review and meta-analysis. . Pediatrics 150::e2022057780
     [Crossref] [Google Scholar]
  94. 94.
    Persky S, Goldring MR, Turner SA, Cohen RW, Kistler WD. 2018.. Validity of assessing child feeding with virtual reality. . Appetite 123::201–7
     [Crossref] [Google Scholar]
  95. 95.
    Philp M, Jacobson J, Pancer E. 2022.. Predicting social media engagement with computer vision: an examination of food marketing on Instagram. . J. Bus. Res. 149::736–47
     [Crossref] [Google Scholar]
  96. 96.
    Plantin J-C, Punathambekar A. 2019.. Digital media infrastructures: pipes, platforms, and politics. . Media Cult. Soc. 41::163–74
     [Crossref] [Google Scholar]
  97. 97.
    Pollack CC, Gilbert-Diamond D, Emond JA, Eschholz A, Evans RK, et al. 2021.. Twitch user perceptions, attitudes and behaviours in relation to food and beverage marketing on Twitch compared with YouTube. . J. Nutr. Sci. 10::e32
     [Crossref] [Google Scholar]
  98. 98.
    Pollack CC, Kim J, Emond JA, Brand J, Gilbert-Diamond D, Masterson TD. 2020.. Prevalence and strategies of energy drink, soda, processed snack, candy and restaurant product marketing on the online streaming platform Twitch. . Public Health Nutr. 23::2793–803
     [Crossref] [Google Scholar]
  99. 99.
    Potvin Kent M, Pauzé E, Bagnato M, Guimarães JS, Pinto A, et al. 2022.. Food and beverage advertising expenditures in Canada in 2016 and 2019 across media. . BMC Public Health 22::1458
     [Crossref] [Google Scholar]
  100. 100.
    Potvin Kent M, Pauzé E, Roy EA, de Billy N, Czoli C. 2019.. Children and adolescents' exposure to food and beverage marketing in social media apps. . Pediatr. Obes. 14::e12508
     [Crossref] [Google Scholar]
  101. 101.
    Powell LM, Wada R, Khan T, Emery SL. 2017.. Food and beverage television advertising exposure and youth consumption, body mass index and adiposity outcomes. . Can. J. Econ. 50::345–64
     [Crossref] [Google Scholar]
  102. 102.
    Qutteina Y, Hallez L, Mennes N, De Backer C, Smits T. 2019.. What do adolescents see on social media? A diary study of food marketing images on social media. . Front. Psychol. 10::2637
     [Crossref] [Google Scholar]
  103. 103.
    Rideout V, Peebles A, Mann S, Robb MB. 2022.. Common sense census: media use by tweens and teens, 2021. Rep. , Common Sense Media, San Francisco, CA:. https://www.commonsensemedia.org/sites/default/files/research/report/8-18-census-integrated-report-final-web_0.pdf
    [Google Scholar]
  104. 104.
    Rose SW, Anesetti-Rothermel A, Elmasry H, Niaura R. 2017.. Young adult non-smokers’ exposure to real-world tobacco marketing: results of an ecological momentary assessment pilot study. . BMC Res. Notes 10::435
     [Crossref] [Google Scholar]
  105. 105.
    Rummo PE, Arshonsky JH, Sharkey AL, Cassidy OL, Bragg MA. 2021.. Social media accounts of food and beverage brands have disproportionately more Black and Hispanic followers than White followers. . Health Equity 5::414–23
     [Crossref] [Google Scholar]
  106. 106.
    Rummo PE, Cassidy O, Wells I, Coffino JA, Bragg MA. 2020.. Examining the relationship between youth-targeted food marketing expenditures and the demographics of social media followers. . Int. J. Environ. Res. Public Health 17::1631
     [Crossref] [Google Scholar]
  107. 107.
    Russell SJ, Croker H, Viner RM. 2018.. The effect of screen advertising on children's dietary intake: a systematic review and meta-analysis. . Obes. Rev. 20::554–68
     [Crossref] [Google Scholar]
  108. 108.
    Sacks G, Looi ESY. 2020.. The advertising policies of major social media platforms overlook the imperative to restrict the exposure of children and adolescents to the promotion of unhealthy foods and beverages. . Int. J. Environ. Res. Public Health 17::4172
     [Crossref] [Google Scholar]
  109. 109.
    Salas M. 2022.. Esports: the new age-marketing channel. . Nat. Prod. Insider, Sep. 14. https://www.naturalproductsinsider.com/sports-nutrition/esports-the-new-age-marketing-channel
    [Google Scholar]
  110. 110.
    Schmidt DC. 2018.. Google data collection. Rep. , Digital Content Next, New York:. https://digitalcontentnext.org/wp-content/uploads/2018/08/DCN-Google-Data-Collection-Paper.pdf
    [Google Scholar]
  111. 111.
    Schor JB, Ford M. 2007.. From tastes great to cool: children's food marketing and the rise of the symbolic. . J. Law Med. Eth. 35::10–21
     [Crossref] [Google Scholar]
  112. 112.
    Scully M, Wakefield M, Niven P, Chapman K, Crawford D, et al. 2012.. Association between food marketing exposure and adolescents' food choices and eating behaviours. . Appetite 58::1–5
     [Crossref] [Google Scholar]
  113. 113.
    Sing F, Backholer K. 2023.. Strengthening global legislative actions to protect children from the harmful impacts of unhealthy food and non-alcoholic beverage marketing. . Curr. Obes. Rep. 12::1–9
     [Crossref] [Google Scholar]
  114. 114.
    Sing F, Reeve B, Backholer K, Mackay S, Swinburn B. 2022.. Designing legislative responses to restrict children's exposure to unhealthy food and non-alcoholic beverage marketing: a case study analysis of Chile, Canada and the United Kingdom. . Global. Health 18::72
     [Crossref] [Google Scholar]
  115. 115.
    Smit CR, Buijs L, van Woudenberg TJ, Bevelander KE, Buijzen M. 2019.. The impact of social media influencers on children's dietary behaviors. . Front. Psychol. 10::2975
     [Crossref] [Google Scholar]
  116. 116.
    Smith R, Kelly B, Yeatman H, Boyland E. 2019.. Food marketing influences children's attitudes, preferences and consumption: a systematic critical review. . Nutrients 11::875
     [Crossref] [Google Scholar]
  117. 117.
    Smith R, Kelly B, Yeatman H, Johnstone S, Baur L, et al. 2019.. Skin conductance responses indicate children are physiologically aroused by their favourite branded food and drink products. . Int. J. Environ. Res. Public Health 16::3014
     [Crossref] [Google Scholar]
  118. 118.
    Smith R, Kelly B, Yeatman H, Moore C, Baur L, et al. 2020.. Advertising placement in digital game design influences children's choices of advertised snacks: a randomized trial. . J. Acad. Nutr. Diet. 120::404–13
     [Crossref] [Google Scholar]
  119. 119.
    Soltero EG, Jáuregui A, Hernandez E, Barquera S, Jáuregui E, et al. 2021.. Associations between screen-based activities, physical activity, and dietary habits in Mexican schoolchildren. . Int. J. Environ. Res. Public Health 18::6788
     [Crossref] [Google Scholar]
  120. 120.
    Statista. 2023.. Digital advertising spending worldwide from 2021 to 2026 (in billion U.S. dollars). . Statista. https://www.statista.com/statistics/237974/online-advertising-spending-worldwide/
    [Google Scholar]
  121. 121.
    Statista. 2023.. Food advertising spending on digital static display in the United Kingdom (UK) from 2019 to 2021 (in million U.S. dollars). . Statista. https://www.statista.com/statistics/1356020/food-ad-spend-digital-display-uk/
    [Google Scholar]
  122. 122.
    Story M, French S. 2004.. Food advertising and marketing directed at children and adolescents in the US. . Int. J. Behav. Nutr. Phys. Act. 1::3–19
     [Crossref] [Google Scholar]
  123. 123.
    Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, et al. 2011.. The global obesity pandemic: shaped by global drivers and local environments. . Lancet 378::804–14
     [Crossref] [Google Scholar]
  124. 124.
    Tatlow-Golden M, Hennessy E, Dean M, Hollywood L. 2014.. Young children's food brand knowledge. Early development and associations with television viewing and parent's diet. . Appetite 80::197–203
     [Crossref] [Google Scholar]
  125. 125.
    Tatlow-Golden M, Verdoodt V, Oates J, Jewell J, Breda J, Boyland E. 2017.. A safe glimpse within the “black box”? Ethical and legal principles when assessing digital marketing of food and drink to children. . Public Health Panor. 3::613–21
     [Google Scholar]
  126. 126.
    Thorson K. 2019.. Time to get mad about information inequality (again). . NiemanLab. https://www.niemanlab.org/2019/01/time-to-get-mad-about-information-inequality-again/
    [Google Scholar]
  127. 127.
    Truman E, Elliott C. 2019.. Identifying food marketing to teenagers: a scoping review. . Int. J. Behav. Nutr. Phys. Act. 16::67
     [Crossref] [Google Scholar]
  128. 128.
    Turner C, Kalamatianou S, Drewnowski A, Kulkarni B, Kinra S, Kadiyala S. 2020.. Food environment research in low- and middle-income countries: a systematic scoping review. . Adv. Nutr. 11::387–97
     [Crossref] [Google Scholar]
  129. 129.
    UK Off. Commun. (Ofcom). 2023.. Children and parents: media use and attitudes report 2023. Rep. , Ofcom, London:. https://www.ofcom.org.uk/research-and-data/media-literacy-research/childrens/children-and-parents-media-use-and-attitudes-report-2023
    [Google Scholar]
  130. 130.
    UNICEF. 2018.. A child rights-based approach to food marketing: a guide for policymakers. Rep. , U. N. Child. Fund, New York:. https://sites.unicef.org/csr/files/A_Child_Rights-Based_Approach_to_Food_Marketing_Report.pdf
    [Google Scholar]
  131. 131.
    UNICEF. 2021.. Unhealthy digital food marketing to children in the Philippines. Rep. , U. N. Child. Fund, New York:. https://www.unicef.org/eap/media/9571/file/Unhealthy%20Digital%20Food%20Marketing%20-%20Philippines.pdf#:∼:text=5Unhealthy%20igital%20Food%20Marketing%20To%20Children%20In%20The,their%20parents%20to%20buy%20foods%20they%20saw%20online
    [Google Scholar]
  132. 132.
    UNICEF. 2022.. Key barriers to food marketing regulation. Global survey results of 24 countries. Rep. , U. N. Child. Fund, New York:. https://www.unicef.org/media/134731/file/Global_Food_Marketing_Survey_Report.pdf
    [Google Scholar]
  133. 133.
    Valero-Morales I, Nieto C, García A, Espinosa-Montero J, Aburto TC, et al. 2023.. The nature and extent of food marketing on Facebook, Instagram, and YouTube posts in Mexico. . Pediatr. Obes. 18::e13016
     [Crossref] [Google Scholar]
  134. 134.
    van der Bend DLM, Jakstas T, van Kleef E, Shrewsbury VA, Bucher T. 2022.. Making sense of adolescent-targeted social media food marketing: a qualitative study of expert views on key definitions, priorities and challenges. . Appetite 168::105691
     [Crossref] [Google Scholar]
  135. 135.
    van Dijck J, Poell T, De Wall M. 2018.. The Platform Society: Public Values in a Connective World. New York:: Oxford Univ. Press
     [Google Scholar]
  136. 136.
    Wang QJ, Barbosa Escobar F, Alves Da Mota P, Velasco C. 2021.. Getting started with virtual reality for sensory and consumer science: current practices and future perspectives. . Food Res. Int. 145::110410
     [Crossref] [Google Scholar]
  137. 137.
    WHO Reg. Off. Eur. 2016.. Tackling food marketing to children in a digital world: trans-disciplinary perspectives. Rep. , World Health Organ. Reg. Off. Eur., Copenhagen, Denmark:. https://www.euro.who.int/__data/assets/pdf_file/0017/322226/Tackling-food-marketing-children-digital
    [Google Scholar]
  138. 138.
    World Health Organ. 2010.. Set of recommendations for the marketing of food and non-alcoholic beverages to children. Rep. , WHO, Geneva:. https://www.who.int/publications/i/item/9789241500210
    [Google Scholar]
  139. 139.
    World Health Organ. 2012.. A framework for implementing the set of recommendations on the marketing of foods and non-alcoholic beverages to children. Rep. , WHO, Geneva:. https://www.who.int/publications/i/item/9789241503242
    [Google Scholar]
  140. 140.
    World Health Organ. 2018.. Evaluating implementation of the WHO set of recommendations on the marketing of foods and non-alcoholic beverages to children: progress, challenges and guidance for next steps in the WHO European Region. Rep. , WHO, Geneva:. http://www.euro.who.int/__data/assets/pdf_file/0003/384015/food-marketing-kids-eng.pdf
    [Google Scholar]
  141. 141.
    World Health Organ. 2021.. Slide to order: a systems approach to meal delivery apps. Rep. , WHO, Geneva:. https://apps.who.int/iris/handle/10665/350121
    [Google Scholar]
  142. 142.
    World Health Organ. 2022.. Food marketing exposure and power and their associations with food-related attitudes, beliefs and behaviours: a narrative review. Rep. , WHO, Geneva:. https://www.who.int/publications/i/item/9789240041783
    [Google Scholar]
  143. 143.
    World Health Organ. 2022.. Understanding the digital media ecosystem. How the evolution of the digital marketing ecosystem impacts tobacco, alcohol and unhealthy food marketing. Tech. Doc., WHO, Geneva:. https://www.who.int/europe/publications/i/item/9789289057950
    [Google Scholar]
  144. 144.
    World Health Organ. 2023.. Policies to protect children from the harmful impact of food marketing. Guidel., WHO, Geneva:. https://www.who.int/publications/i/item/9789240075412
    [Google Scholar]
  145. 145.
    Yeum D, Jimenez CA, Emond JA, Meyer ML, Lansigan RK, et al. 2023.. Differential neural reward reactivity in response to food advertising medium in children. . Front. Neurosci. 17::1052384
     [Crossref] [Google Scholar]
  146. 146.
    Zimmerman FJ, Shimoga SV. 2014.. The effects of food advertising and cognitive load on food choices. . BMC Public Health 14::342
     [Crossref] [Google Scholar]
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Unhealthy Food and Beverage Marketing to Children in the Digital Age: Global Research and Policy Challenges and Priorities
Annual Review of Nutrition 44, 471 (2024); https://doi.org/10.1146/annurev-nutr-062322-014102
/content/journals/10.1146/annurev-nutr-062322-014102
/content/journals/10.1146/annurev-nutr-062322-014102
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