Contemporary Approaches for Monitoring Food Marketing to Children to Progress Policy Actions

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

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.

Development and testing of two tools to assess point-of-sale food and beverage marketing to children in restaurants

OBJECTIVE

To describe the development and testing of two assessment tools designed to assess exterior (including drive-thru) and interior food and beverage marketing in restaurants with a focus on marketing to children and teens.

DESIGN

A scoping review on restaurant marketing to children was undertaken, followed by expert and government consultations to produce a draft assessment tool. The draft tool was mounted online and further refined into two separate tools: the Canadian Marketing Assessment Tool for Restaurants (CMAT-R) and the CMAT-Photo Coding Tool (CMAT-PCT). The tools were tested to assess inter-rater reliability using Cohen's Kappa and per cent agreement for dichotomous variables, and intra-class correlation coefficients (ICCs) for continuous or rank-order variables.

SETTING

Waterloo, Ontario, Canada.

PARTICIPANTS

Restaurants of all types were assessed using the CMAT-R (n 57), and thirty randomly selected photos were coded using the CMAT-PCT.

RESULTS

The CMAT-R collected data on general promotions and restaurant features, drive-thru features, the children's menu and the dollar/value menu. The CMAT-PCT collected data on advertisement features, features considered appealing to children and teens, and characters. The inter-rater reliability of the CMAT-R tool was strong (mean per cent agreement was 92·4 %, mean Cohen's κ = 0·82 for all dichotomous variables and mean ICC = 0·961 for continuous/count variables). The mean per cent agreement for the CMAT-PCT across items was 97·3 %, and mean Cohen's κ across items was 0·91, indicating very strong inter-rater reliability.

CONCLUSIONS

The tools assess restaurant food and beverage marketing. Both showed high inter-rater reliability and can be adapted to better suit other contexts.

Associations between everyday exposure to food marketing and hunger and food craving in adults: An ecological momentary assessment study

Food marketing in television and digital media negatively affects appetitive sensations and eating behaviour in children, but effects are less well understood for outdoor food advertising and adults. This research used Ecological Momentary Assessment (EMA) to explore associations between exposures to food advertising in various contexts (television, digital, outdoors) and adults' hunger and craving for highly advertised food categories. Over one week, participants provided ratings of cravings for types of food (fast food, soft drinks, snacks/confectionery, other) and hunger on a smartphone app up to six times per day when they saw a food advertisement (reactive assessment) and at random intervals (random assessment). Fifty-four participants (70.4 % female; 21.24 ± 3.84 years) provided 1223 assessments (24.7 % reactive, 75.3 % random). Data were analysed in R using multilevel multivariable linear regression models. Participants reported feeling hungrier (X2(1) = 5.85, p = .016, ΔAIC = 3.9) and having stronger cravings (X2(1) = 20.64, p < .001, ΔAIC = 318.6) after seeing food advertisements vs. random assessments. This was driven by greater hunger following television advertising exposure vs. random assessments (β = 1.58, SE = 0.61, p = .010, 95 %CIs 0.38 to 2.78), food advertising via digital devices or outdoors was not associated with hunger. Participants experienced stronger craving after seeing a food advertisement on television (β = 0.52, SE = 0.19, p = .006, 95 %CIs 0.15 to 0.89), outdoors (β = 0.39, SE = 0.12, p < .001, 95 % CIs 0.16 to 0.62) and in digital media (β = 0.36, SE = 0.14, p = .012, 95 % CIs 0.08 to 0.64), vs. random assessments. Cravings were (largely) specific to the advertised food category. EMA can be effective for assessing food marketing associations in adults. The current study provides evidence that food marketing is associated with hunger and craving in adults, which may, with replication, have implications for public health policy.

How frequently is alcohol advertised on television in Canada?: A cross-sectional study

AIMS

Alcohol marketing is a commercial driver of alcohol use, including among youth. This study sought to quantify and characterize alcohol advertising on broadcast television in Canada.

METHODS

Open-source television program logs for January to December 2018 submitted to the Canadian Radio-television and Telecommunications Commission by 147 stations with alcohol advertisements were analyzed.

RESULTS

Overall, 501 628 alcohol advertisements were broadcast. Four companies accounted for 83% of advertisements, namely, Anheuser-Busch in Bev (33.7%), Molson Coors (22.7%), Diageo (16.1%), and Arterra Wines Canada (10.8%). On conventional stations, advertising was highest on French-language stations [Median (Mdn) = 3224; interquartile range (IQR) = 2262] followed by those with programming in foreign/mixed languages (Mdn = 2679; IQR = 219) and English-language stations (Mdn = 1955; IQR = 1563). On speciality stations, advertising was most frequent on those primarily focused on sports programming (Mdn = 8036; IQR = 7393), movies and scripted shows (Mdn = 7463; IQR = 5937), and cooking (Mdn = 5498; IQR = 4032). On weekdays, 33% of alcohol ads aired from 6 to 9 a.m. and 3 to 9 p.m. and on weekends, 52% aired from 6 a.m. to 9 p.m. when children or adolescents are more likely to be watching television. On youth-oriented stations (n = 4), 7937 alcohol advertisements were broadcast with most airing from 9 p.m. to midnight (44-45%) or 12-6 a.m. (50%) on both weekdays and weekends.

CONCLUSIONS

While few alcohol advertisements were broadcast on youth-oriented stations, young people in Canada are likely exposed to such advertising on programming intended for older or general audiences (e.g. sports). More research is needed to ascertain the extent to which broadcast television constitutes a source of alcohol advertising exposure among youth and to inform policies aimed at protecting them from the influence of such exposure.

Differences in children's exposure to television advertising of unhealthy foods and beverages in Spain by socio-economic level

BACKGROUND

The influence of food advertising on food preferences and consumption could also contribute to the socio-economic inequalities among Spanish children in terms of eating habits and childhood obesity. Although the main food advertising channel targeted at children in Spain is television, available studies estimate exposure indirectly by combining content data with audience data. The aim of this study was therefore to describe the frequency of exposure to television advertising of unhealthy foods and drinks, measured directly, among Spanish children and adolescents, and analyse its socio-economic inequalities.

METHODS

Observational study of television advertising impacts in a sample of 1590 children aged 4 to 16 years drawn from a consumer panel representative of the Spanish population in this age group, over the course of a full week of broadcasting in February 2022. The sample was obtained through stratified random sampling by Autonomous Region, with quotas being set by reference to socio-demographic variables. Exposure was measured with an audiometer, and the nutrient content of the food and drink advertised was analysed using the nutrient profile of the WHO Regional Office for Europe. We used the Chi-squared test to analyse possible differences in advertising coverage by socio-economic level.

RESULTS

The participants saw a weekly mean of 82.4 food and drink commercials, 67.4 of which were for unhealthy products (81.8%), mostly outside the child-protection time slot. On average, low-social class participants received 94.4% more impacts from unhealthy food and drink advertising than did high-class participants (99.9 vs. 51.4 respectively). The mean advertising coverage of unhealthy foods and drinks was 71.6% higher in low-class than in high-class participants (10.9% vs. 18.7%; p = 0.01).

CONCLUSION

Spanish children and adolescents received an average of 10 impacts per day from television spots for unhealthy foods and drinks. The exposure of low-class children is double that of high-class children, a finding compatible with the high prevalence of childhood obesity in Spain and the related socio-economic inequalities. To protect Spanish minors from the harmful effects of food advertising and reduce the related social health inequalities would require the implementation of a 24:00 watershed for unhealthy food advertising on television.

Food marketing on digital platforms: what do teens see?

OBJECTIVE

Given the aggressive marketing of foods and beverages to teenagers on digital platforms, and the paucity of research documenting teen engagement with food marketing and its persuasive content, the objective of this study is to examine what teenagers see as teen-targeted food marketing on four popular digital platforms and to provide insight into the persuasive power of that marketing.

DESIGN

This is an exploratory, participatory research study, in which teenagers used a special mobile app to capture all teen-targeted food and beverage marketing they saw on digital media for 7 d. For each ad, participants identified the brand, product and specific appeals that made it teen-targeted, as well as the platform on which it was found.

SETTING

Online (digital media) with teenagers in Canada.

PARTICIPANTS

Two hundred and seventy-eight teenagers, aged 13-17 years, were participated. Most participants were girls (63 %) and older teenagers (58 % aged 16-17 years).

RESULTS

Participants captured 1392 teen-targeted food advertisements from Instagram, Snapchat, TikTok and YouTube. The greatest number of food marketing examples came from Instagram (46 %) (with no difference across genders or age), while beverages (28·7 %), fast food (25·1 %) and candy/chocolate were the top categories advertised. When it comes to persuasive power, visual style was the top choice across all platforms and participants, with other top techniques (special offer, theme and humour), ranking differently, depending on age, gender and platform.

CONCLUSIONS

This study provides insight into the nature of digital food marketing and its persuasive power for teenagers, highlighting considerations of selection and salience when it comes to examining food marketing and monitoring.

Revolutionising food advertising monitoring: a machine learning-based method for automated classification of food videos

OBJECTIVE

Food advertising is an important determinant of unhealthy eating. However, analysing a large number of advertisements (ads) to distinguish between food and non-food content is a challenging task. This study aims to develop a machine learning-based method to automatically identify and classify food and non-food ad videos.

DESIGN

Methodological study to develop an algorithm model that prioritises both accuracy and efficiency in monitoring and classifying advertising videos.

SETTING

From a collection of Brazilian television (TV) ads data, we created a database and split it into three sub-databases (i.e. training, validation and test) by extracting frames from ads. Subsequently, the training database was classified using the EfficientNet neural network. The best models and data-balancing strategies were investigated using the validation database. Finally, the test database was used to apply the best model and strategy, and results were verified with field experts.

PARTICIPANTS

The study used 2124 recorded Brazilian TV programming hours from 2018 to 2020. It included 703 food ads and over 20 000 non-food ads, following the protocol developed by the INFORMAS network for monitoring food marketing on TV.

RESULTS

The results showed that the EfficientNet neural network associated with the balanced batches strategy achieved an overall accuracy of 90·5 % on the test database, which represents a reduction of 99·9 % of the time spent on identifying and classifying ads.

CONCLUSIONS

The method studied represents a promising approach for differentiating food and non-food-related video within monitoring food marketing, which has significant practical implications for researchers, public health policymakers, and regulatory bodies.

Establishing the Minimum Media Time Sample Required to Obtain Reliable Estimates of Children's Digital Media Food Marketing Exposures

Background

The ubiquitous nature of food marketing on digital media likely has a profound effect on children's food preferences and intake. Monitoring children's exposure to digital marketing is necessary to raise awareness of the issue, inform policy development, and evaluate policy implementation and effect.

Objectives

This study aimed to establish whether smaller time samples (less time and/or fewer days captured) would provide robust estimates of children's usual exposures to food marketing.

Methods

Using an existing data set of children's digital marketing exposures, which captured children's total screen use over 3 d, a reliability assessment was performed.

Results

A subsample of 30% of children's usual screen time was found to provide reliable estimates of digital food marketing exposure compared with the full sample (intraclass correlation coefficient: 0.885; Cronbach α: 0.884). There was no difference in the rates of marketing (exposures/h) between weekdays and weekend days.

Conclusions

These findings enable researchers to reduce the time and resource constraints that have previously restricted this type of monitoring research. The reduced media time sample will further lessen participant burden.