Methodologies for Monitoring the Digital Marketing of Foods and Beverages Aimed at Infants, Children, and Adolescents (ICA): A Scoping Review
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Literature Search
3.2. Study Design and Year of Publication
3.3. Study Setting
3.4. Study Population
3.5. Types of Methodologies for Monitoring Digital Marketing
3.5.1. Visits to Websites or Social Media Sites
3.5.2. Screenshots of Posts (Evernote, Full Page Screen Capture)
3.5.3. Monitoring through Recording Posts and/or Videos (Lollipop Screen Recorder, iOS Operating System, Tobii Pro Glasses)
3.5.4. Use of Social Media Analytics Companies or Applications to Select the Most Popular Brand’s Pages (Socialbakers, Create Adverts, comScore, AC Nielsen)
3.5.5. Browser Extension to Collect Advertisements (AdHealth)
3.5.6. Web-Based Structured Questionnaire
3.5.7. Digital and Social Media Ethnography Approach
3.5.8. ‘WHO CLICK’ Monitoring Tool
3.5.9. IBFAN-ICDC Code Monitoring Toolkit
3.5.10. Proposal of New Methodologies (‘WHO CLICK’ + Artificial Intelligence, Step-Wise Framework)
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Types of Evidence Source | The Type of Evidence Is ‘Open’ to Allow for the Inclusion of All Types of Sources (e.g., Primary Research Studies, Systematic Reviews, Meta-Analyses, Reports, Letters, Guidelines, Websites, and Blogs, among Others). |
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Concept | Sources describing methodologies and experiences in monitoring the digital marketing (e.g., promotional activities through websites, online retail platforms, online gaming, online groups, social networks such as Facebook, Instagram, and TikTok, micro-blogging services such as Twitter, and content communities such as YouTube) of BMS and FBHFSS targeted to the under-19 population |
Population studied | Infants (ages 0–1 years), children (ages 2–9 years), and adolescents (ages 10–19 years) |
Context | Worldwide settings |
Timeframe | 1 January 2011 to 31 October 2021 |
Language | English and Spanish |
Access | Full-text article accessible |
Author (Year) | Region/Country | Media | Advertising Target Population | Objective | Description |
---|---|---|---|---|---|
Breast-Milk Substitutes (BMS) | |||||
Ching et al. (2021) [40] | Burkina Faso, Canada, China, India, Indonesia, Kenya, Laos, Malaysia, Myanmar, Pakistan, Singapore, Philippines, United States (US), and Vietnam | Facebook, Instagram, and company website | Parents and families with infants | To examine the marketing tactics of breast-milk substitutes (BMS) companies since the start of the COVID-19 pandemic. | Data were collected based on a structured questionnaire and social media posts collected in several countries after the onset of the COVID-19 pandemic. A quantitative analysis of the information from the questionnaire and a thematic analysis of the posts were carried out. |
Han (2020) [26] | China | e-commerce platform TMall | Parents and families with infants | To analyze the BMS retail websites on the largest business-to-consumer (B2C) e-commerce platform, TMall, to characterize the marketing themes and strategies used to target consumers. | Use of a Chinese e-commerce platform to collect the top ten BMS company/brand websites. A coding tool was developed based on previous web-based content analysis on the marketing of children’s food, including thematic appeals, International Code of Marketing of Breast-milk Substitutes (‘the Code’) violations, and images used. |
Lozada et al. (2020) [27] | Mexico | Facebook, Twitter, and YouTube | Parents and families with infants | To examine the advertising and marketing of BMS through the internet, social media, and television in Mexico. | Recording of posts of the main BMS companies on social media. Content analysis of BMS posts based on the Code’s stipulations. |
Pereira-Kotze et al. (2020) [28] | South Africa | Facebook and Instagram | Parents and families with infants | To provide pertinent examples of how BMS manufacturers in South Africa use social media to market their products and how this marketing relates to existing national regulations. | Use of a digital and social media ethnography approach to identify and analyze BMS posts (purposely selected) according to the provisions of Regulation R991 (national legislation). |
Prado & Rinaldi (2020) [29] | Brazil | Formula manufacturers’ websites and drugstore networks | Parents and families with infants | To verify the compliance with Law No. 11,265/2006 in the promotion strategies for IF on Brazilian websites of manufacturers and drugstore networks. | Five websites of IF manufacturers and nine websites of drugstores networks were selected to analyze compliance with national regulations. The main attributes evaluated were: the use of drawings or representations of children, the presence of pop-up windows with other IFs or links to children’s product websites, among others. |
Senkal & Yildiz (2019) [51] | European country | Facebook, Twitter, Instagram, blogs, websites, and mobile apps | Parents and families with infants | To examine the presence of IF marketing on social media | Identification of the marketing activities of nine IF brands on social media, using the WHO Code as a framework. |
IBFAN Asia & IBFAN-ICDC (2018) [46] | Bhutan, China, India, Indonesia, Republic of Korea, Maldives, Mongolia, Nepal, Philippines, Sri Lanka, and Thailand | e-marketing portals (Amazon, eBay, among others) | Parents and families with infants | To identify the presence of Code violations and their predominant trends in labeling and online portals. | Report regarding the Code violations on popular e-marketing portals. Data collection was based on its own toolkit, and a theme-based approach analysis was conducted on the stipulation of the Code. |
Berry & Gribble (2017) [41] | Australia | Websites advertising IF products | Parents and families with infants | To determine whether such prohibited claims could be observed on Australian websites that advertise IF products. | Through a one-day search, 25 websites were identified. A thematic coding frame based on the Australian and New Zealand Food Standards Code was used to identify nutrient content claims, health claims, and references to the nutrient content of human milk. |
Vinje et al. (2017) [42] | Cambodia, Indonesia, Myanmar, Thailand, and Vietnam | Editorial content, Facebook, and Television | Parents and families with infants | To review regulations and to perform a media audit of the promotion of products under the scope of the Code in South-East Asia. | Media monitoring of advertisements in print, online, or on television by independent media agencies. The last 30 of Facebook posts were identified, and texts, images, and audiovisuals were examined to identify key messages, the stakeholders involved, and promoted products. |
Gunter et al. (2013) [43] | United Kingdom (UK) | Formula manufacturers’ websites | Parents and families with infants | To examine formula manufacturers’ web sites to ascertain whether these are used as alternative forms of advertising that fall outside current regulations. | The websites of five major IF manufacturers were evaluated for the presence of text and images related to IF products that are not allowed to be advertised directly to consumers under the current regulations. |
Abrahams et al. (2012) [44] | US | Facebook, MySpace, Google, Twitter, YouTube, Mobile Applications | Parents and families with infants | To examine the presence of IF marketing on social media sites that are likely to be visited by new and expectant parents, in order to describe how social media are used for the promotion of breast milk substitutes in the US. | The most popular social media (Facebook, MySpace, Google, Twitter, YouTube, and mobile applications) of BMS companies were identified and examined. A content analysis of the posts was conducted based on the Code’s stipulations. |
Foods and beverages high in saturated fat, salt, and/or free sugars (FBHFSS) | |||||
Kelly et al. (2021) [45] | Australia | Instagram, Facebook, Snapchat, YouTube, and Twitter | Adolescents (13–17 years) | To monitor the extent of children’s exposure to web-based media food marketing as an essential step in increasing the accountability of industries and governments in protecting children. | Data of the promotions of foods and beverages were collected through a video recording mobile device screen for two weekdays and one weekend day any time the participants went onto relevant web-based platforms or apps. For Android devices, an application was used (Lollipop screen recorder). The content and nutrient analysis of the promoted products was carried out using the World Health Organization European Region (WHO-EURO) Nutrient Profile Model (NPM). |
Kidd et al. (2021) [30] | New Zealand | Adolescents (16–18 years) | To test the feasibility of a browser extension to estimate the exposure of adolescents to (un)healthy food and beverage advertisements on Facebook and the persuasive techniques used to market these foods and beverages. | Data were collected through a browser extension (AdHealth) to automatically identify the type of advertisement seen and the duration of each ad sighting and perform a nutritional analysis of food and beverage advertisements based on the WHO-EURO NPM. | |
Tatlow-Golden & Boyland (2021) [48] | Philippines | Facebook and Instagram | Children and adolescents (5–17 years) | To describe the extent and nature of the marketing of unhealthy items in the Philippines. A second objective: to describe the nutrient content of food marketing on the social media platforms most popular with children in the Philippines. | A content analysis of relevant food and beverage brands for the under-18 audiences, considering the sale of the products, was carried out. Nutrient analysis was performed based on the WHO NPM for the Western Pacific Region. |
Theodore et al. (2021) [31] | Mexico | Facebook, Twitter, and YouTube | Children and adolescents | To identify general characteristics, the use of persuasive techniques, and the nutritional quality of the Mexican digital marketing of food and beverage brands with the greatest number of followers and views (Facebook, Twitter, and YouTube) and with specific appeal to children/adolescents. | Multi-step process, including the identification of food and beverage/brand companies with the largest audience through social media analytics (Socialbakers) and nutritional quality according to the PAHO NPM. |
Bragg et al. (2020) [25] | US | Instagram, Facebook, Twitter, Vine, and Tumblr | Youth | To identify the prevalence of social media advertising among fast food, beverage, and snack companies and examine the advertising techniques they use on Instagram, Facebook, Twitter, Tumblr, and Vine. | Identification of fast food, beverage, and snack brands with the highest advertising expenditures in the US across the top five most popular social media platforms among adolescents in 2014 to 2015. There must exist official US brand accounts. A content analysis to identify the marketing techniques of food and beverages was conducted. |
Olstad and Lee (2020) [24] | Canada | NA | Children | NA. This is a commentary about the importance of including artificial intelligence to strengthen the ‘WHO CLICK’ methodology to monitor the marketing of unhealthy food on digital media. | Methodology proposal based on the CLICK monitoring framework with the addition of an artificial intelligence system to monitor unhealthy food and brand marketing to children on digital media. |
Coates et al. (2019) [32] | UK | YouTube | Children (5–15 years) | To explore the extent and nature of food and beverage cues featured in YouTube videos of influencers popular with children. | Identification of food and beverage cues in the YouTube videos of two influencers. Content and nutrient analysis (using the UK NPM) was carried out. |
Jaichuen et al. (2019) [33] | Thailand | Children and adolescents | To assess the marketing of food on Facebook in relation to government regulations and the industry’s self-regulatory codes in Thailand. | Using the Socialbakers platform, the 30 most popular Facebook pages of food and beverage brands in the country were identified. A content analysis of marketing techniques was conducted, determining whether marketing strategies comply with Government regulations and the industry’s self-regulatory code. | |
Potvin et al. (2019) [34] | Canada | Facebook, Instagram, Snapchat, Twitter, and YouTube | Children (7–11 years) and adolescents (12–16 years) | To compare the frequency and healthfulness of food marketing seen by children and adolescents on social media apps as well as to estimate their weekly exposure. | Data on the promotions of foods and beverages were recorded through Tobii Pro Glasses. Content and nutrient analysis using the Pan-American Health Organization (PAHO) NPM and the UK NPM was carried out. |
Brownbill et al. (2018) [35] | Australia | Young adults (13–25 years) | To explore how sugar-sweetened beverages are marketed to Australian young people through sugar-sweetened beverage brand Facebook pages. | Content analysis of official posts from the six most popular Australian sugar-sweetened beverage brand Facebook pages (defined as those with a minimum of 50,000 unique adolescent visitors), which included information on ‘likes’, ‘comments’, ‘shares’, and ‘hashtags’. | |
Potvin et al. (2018) [36] | Canada | Websites | Adolescents (12–17 years) | To document the frequency and healthfulness of pop-up and banner food advertisements displayed on third-party websites preferred by adolescents in Canada. | The content analysis of the 10 most popular websites of food and beverages and the nutrient analysis were based on the PAHO and UK NPM. The identification of the websites was done through social media analytics (comScore). |
Vandevijvere et al. (2018) [37] | New Zealand | Facebook and YouTube | Adolescents (13–18 years) | To analyze the extent, nature, and potential impact of marketing by food and beverage brands popular in New Zealand on Facebook and YouTube. | Identification of the most popular food and beverage brands on Facebook and YouTube through Socialbakers. Content analysis of the marketing techniques of popular food and beverages brands, including the type of post, the product type, and the total number of ‘likes’, ‘shares’, and ‘comments’. |
WHO Regional Office for Europe (2018) [49] | WHO Europe member states 1 | N/S | Children | To elucidate the rapidly changing digital marketing ecosystem within which action to protect children’s online experience must be taken. It then sets out two practical actions that can feasibly be undertaken: (1) the CLICK monitoring framework and (2) Proposed Policy Prerequisites. | This report proposed the five-step CLICK tool to monitor the extent to which children are exposed to the marketing of unhealthy products online. The five steps of the tool are: Comprehend the digital ecosystem (C); Landscape of campaigns (L); Investigate exposure (I); Capture on-screen (C), and Knowledge sharing (K). |
Vandevijvere et al. (2017) [38] | New Zealand | Television, sports, magazines, and Facebook | Children and adolescents | To assess the extent and nature of unhealthy food marketing to New Zealand children and adolescents through the internet. | Content analysis of the marketing techniques of the most popular websites of food and beverages was conducted. The identification of the websites was done through social media analytics (AC Nielsen). Products were classified according to the New Zealand Ministry of Health Food and Beverage Classification. |
Tatlow-Golden et al. (2016) [47] | Ireland | Facebook and company websites | Children and young people | To make essential first steps in identifying the digital food and drink marketing appealing to, or directed at, children and young people in Ireland. | Most popular brands of food and beverages were identified through the feature Create Adverts on Facebook. A content analysis was carried out. |
Freeman et al. (2014) [39] | Australia | Children and adolescents | To assess the amount, reach, and nature of energy-dense, nutrient-poor food and beverage marketing on Facebook. | Identification through Socialbakers of the 27 most popular Facebook pages of food and beverage brands. A content analysis of the marketing techniques used by the brands was conducted. | |
Kelly et al. (2013) [50] | Canada | Television and social media | Children | To identify approaches to monitoring food promotions via dominant media platforms responses by a review of studies measuring the nature and extent of exposure to food promotions. | Methodology proposal based on a multistep process according to the type of media (social media, television, among others). |
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Lara-Mejía, V.; Franco-Lares, B.; Lozada-Tequeanes, A.L.; Villanueva-Vázquez, C.; Hernández-Cordero, S. Methodologies for Monitoring the Digital Marketing of Foods and Beverages Aimed at Infants, Children, and Adolescents (ICA): A Scoping Review. Int. J. Environ. Res. Public Health 2022, 19, 8951. https://doi.org/10.3390/ijerph19158951
Lara-Mejía V, Franco-Lares B, Lozada-Tequeanes AL, Villanueva-Vázquez C, Hernández-Cordero S. Methodologies for Monitoring the Digital Marketing of Foods and Beverages Aimed at Infants, Children, and Adolescents (ICA): A Scoping Review. International Journal of Environmental Research and Public Health. 2022; 19(15):8951. https://doi.org/10.3390/ijerph19158951
Chicago/Turabian StyleLara-Mejía, Vania, Bianca Franco-Lares, Ana Lilia Lozada-Tequeanes, Casandra Villanueva-Vázquez, and Sonia Hernández-Cordero. 2022. "Methodologies for Monitoring the Digital Marketing of Foods and Beverages Aimed at Infants, Children, and Adolescents (ICA): A Scoping Review" International Journal of Environmental Research and Public Health 19, no. 15: 8951. https://doi.org/10.3390/ijerph19158951
APA StyleLara-Mejía, V., Franco-Lares, B., Lozada-Tequeanes, A. L., Villanueva-Vázquez, C., & Hernández-Cordero, S. (2022). Methodologies for Monitoring the Digital Marketing of Foods and Beverages Aimed at Infants, Children, and Adolescents (ICA): A Scoping Review. International Journal of Environmental Research and Public Health, 19(15), 8951. https://doi.org/10.3390/ijerph19158951