Obesity is a pervasive public health concern, increasing an individual’s risk of CVD, type II diabetes and poor self-esteem(Reference Williams, Mesidor and Winters1). In 2019, roughly 25 % of all Canadian adolescents aged 12–17 years were classified as being overweight or having obesity, with higher rates of obesity in males (28·5 %) compared with females (20·2 %) based on self-reported anthropometric data(2). In the last few decades, the diets of Canadian adolescents have shifted to include more processed and packaged foods that are high in sugar, salt and/or saturated fat(Reference Poti, Braga and Qin3). In 2015, 64 % of Canadian adolescents exceeded the recommended daily intake of added sugar, with males aged 6 to 17 years consuming more than their female counterparts (84 g v. 76 g)(Reference Tariq4). Similarly, males aged 14 to 18 years consumed more sodium per d than females (3320 mg v. 2350 mg)(5). These dietary habits can be attributed to several environmental factors including the digital marketing of cheap, highly processed, palatable, nutrient-poor food viewed on smartphones, tablets and computers(Reference Boyland, Thivel and Mazur6). Differential exposures to digital marketing, as viewed by male and female adolescents, may be contributing to dietary disparities between these groups.
Digital media operates in a complex, interactive web of sharing and collecting information, providing a unique space for companies to advertise their products as it is low cost, and it can be tailored to specific audiences(Reference Murphy, Corcoran and Tatlow-Golden7). As ‘digital natives’(Reference Prensky8) adolescents are born and raised in a media-driven world, where digital devices are a staple of their daily lives. As of 2014, 85 % of Canadians in grade 11 owned a cellphone(Reference Steeves9). In 2017, 20 % of Canadian adolescents spent 5 or more hours a day on social media with most adolescents cycling through one to three social media applications (apps) daily(Reference Steeves9). Gender differences exist in social media and online use amongst those in grades 7–11. YouTube is used by a larger share of Canadian boys compared with girls (83 % v. 77 %). Conversely, Facebook and Twitter are more popular among girls than boys (77 % v. 72 % and 43 % v. 24 %, respectively)(Reference Steeves9). Further, boys are more likely to play online games (71 % v. 47 %), while girls are more likely to use social media to connect with others (45 % v. 36 %) and to follow celebrities (26 % v. 14 %)(Reference Steeves9). Overall, young Canadian girls have a stronger presence on social media sites than their male counterparts(Reference Steeves9).
Adolescents are a unique sub-population that have not garnered the same attention as children when it comes to the marketing of unhealthy food or beverages, yet they are similarly impacted(Reference Harris, Yokum and Fleming-Milici10). Research demonstrates that unhealthy food and beverage marketing targeting adolescents directly affects their food preferences, purchasing habits and short-term food intake(Reference Harris, Yokum and Fleming-Milici10). Corporations target adolescents as they often have greater flexibility to make their own purchases, have increased agency over their decisions and display greater brand loyalty than other age groups, while being impressionable and impulsive(Reference Kucharczuk, Oliver and Dowdell11). Adolescents are also overlooked when it comes to regulatory policies(Reference Harris, Yokum and Fleming-Milici10,Reference Lutfeali, Ward and Greene12) , leaving them in a more precarious position than children(Reference Lutfeali, Ward and Greene12). The combination of these factors amplified by adolescents’ extensive use of social media makes them an ideal target population for food and beverage companies. One area that requires attention is the role gender plays in the digital marketing of food and beverages (henceforth collectively referred to as food) to adolescents.
Gender is the social construction of behaviours, roles and activities that are deemed socially appropriate for men and women, boys and girls, and gender-diverse people(13). Gender is also a social determinant of health that can influence health status and reinforce social and cultural norms(14). These norms can change food and dietary choices, which can lead to the adoption of unfavourable health behaviours such as the excessive consumption of unhealthy foods(14). There is a paucity of research examining how food marketing impacts people based on their gender.
A recent scoping review suggests that there is a relationship between gender and food marketing(Reference Castronuovo, Guarnieri and Tiscornia15). Some of the key findings from the review indicate that: male and female children and adolescents respond differently to food marketing techniques; food marketing has a greater effect on boy’s food choices and preferences compared to girls; and food advertisements on television contain more male characters(Reference Castronuovo, Guarnieri and Tiscornia15). The results of this scoping review suggest that research is needed to explore socially built stereotypes and how these may be leveraged in marketing to impact the food preferences of girls and boys. A noted limitation of the scoping review was the lack of evidence regarding digital marketing(Reference Castronuovo, Guarnieri and Tiscornia15). These results beg the question – are noted differences in both the amount and content of food marketing exposures contributing to gender-based health and diet disparities?
The gender dimension of health is a key analytical and explanatory variable in research. If gender is overlooked, our understanding of prevailing health issues will be incomplete and potentially biased, which may limit our ability to develop effective interventions and policies(13). Compared with other commodities, such as alcohol and tobacco(Reference Feeny, Dain and Varghese16) that have successfully utilised gender-based marketing strategies to draw in and maintain consumers, there is little research on the role gender plays in the design and impact of the digital marketing of unhealthy food.
Given that differences exist between boys and girls in obesity rates, dietary choices, and social media use, and that research indicates there are gender-based differences in responses to food marketing, it is critical to examine the digital marketing environment given the amount of time adolescents spend on social media and online. Such research is important to assess the messages that are shaping food attitudes among adolescent boys and girls, to provide insights as to whether gender differences in digital food marketing exposures play a role in overall dietary patterns and obesity prevalence, and to help inform digital marketing policies and interventions that are equitable and protective of youth. Recognising that targeted marketing techniques by gender may play a part in observed dietary differences and obesity prevalence among adolescents it is imperative that policies and interventions are gender-sensitive to curb gender-based targeting attempts from food companies and to ensure boys and girls are equally protected.
The objectives of this pilot study were to determine if adolescent boys and girls were exposed to different amounts of food marketing including the types of food categories, the healthfulness of food products and the marketing techniques used to promote foods on their favourite social media applications. It was hypothesised that marketing techniques used to promote food and beverages would differ by gender based on results from a recent scoping review.
Methods
Data source
This study is a secondary analysis of a cross-sectional study that was conducted by Potvin Kent et al., in 2018(Reference Potvin Kent, Pauzé and Roy17), which sought to compare the frequency and healthfulness of food marketing exposures viewed by children and adolescents on their two preferred social media apps. Apps included Facebook, Instagram, Snapchat, Twitter and YouTube. The original study asked participants to fill out a self-administered questionnaire that requested sociodemographic characteristics, including gender. Participants were asked to identify their gender with the following response options: (1) boy; (2) girl; or (3) I do not identify as a boy or a girl. Those who chose option three were provided the option to self-identify. Participants were then asked to login to their two favourite social media apps for 5 min per application (10 min total) on the smartphone or tablet they usually use during their leisure time. Participants wore eye-tracking Tobii Pro Glasses while using a social media application, which recorded everything that participants viewed while browsing.
Research assistants then identified all food marketing exposures in the video footage. Food marketing exposures were defined as any content in which food or beverage brand logos or branded products were featured and included food advertisements (display and video ads as well as companies’ posts on social media shared by their corporate account or other users), celebrity-generated content (when food products or brand logos appear in content produced and shared by celebrities or well-known figures on social media that have a large following) and food marketing embedded in other web content (branded food products, logos or product placements seen in recipe videos, art and craft videos, media articles or programmes, videos of sport highlights, streamed television content and Snapchat subscription articles, among others). User-generated content, content uploaded and shared by a social media user that intentionally or unintentionally promoted a food brand or product, whether it was encouraged by food companies or not (e.g. Snapchat photo posted by a private account featuring a McDonald’s McFlurry) were excluded from the sample as this study was interested on the targeting nature of food companies and affiliates. Exposures were then classified by food categories including cold cereal, cakes, cookies, and ice cream, candy and chocolate, snacks, 100 % fruit juice, sugar-sweetened beverages (including regular soft drinks, sports drinks, fruit drinks, energy drinks and iced tea), hot beverages (tea or coffee), fast-food restaurants, non-fast-food restaurants, cheese, grocery store items, condiments, and other (items not categorised, such as beef broth). Food marketing exposures were also identified by food company and their healthfulness. A registered dietitian (EP) assessed each promoted food item displayed in an advertisement using the products nutritional data and the Pan American Health Organization Nutrient Profile Model (PAHO NPM)(18). Nutritional data, including energy and nutrient content of promoted food items, were sourced from the following in order of priority: the Canadian company website, a products Nutrition Facts table, the American company website, or the Canadian Nutrient File. Information taken from these sources included serving size, total calories, total fat, saturated fat, trans-fat, sugar, carbohydrates, fibre, sodium and protein per serving size. The PAHO NPM classifies foods based on their level of processing and content in terms of ‘negative’ nutrients that are a public health concern (e.g. free sugars, sodium and fats)(18). All food items, regardless of their level of processing, were coded as being excessive or not in total fat (if total fat accounted for ≥30 % of calories), saturated fat (≥10 % of calories), trans-fat (≥1 % of calories), sodium (mg: kcal ratio ≥ 1) and free sugars (≥10 % of calories)(18). Marketing exposures were coded as either minimally processed or processed, or ultra-processed according to PAHO definitions(18).
Characteristics of participants and marketing exposures
The original study consisted of 101 participants of which, thirty-eight were children aged 7–11 years and sixty-three were adolescents aged 12–16 years(Reference Potvin Kent, Pauzé and Roy17). This study included sixty-two adolescents (twenty-six boys and thirty-six girls). One adolescent was excluded because they did not identify as a boy or girl. Adolescents were selected as there is little research that has focused on this age group.
Assessment of food marketing exposures for marketing techniques
A content analysis of each participant’s food and beverage marketing exposures was conducted to identify the presence of the marketing techniques described in Table 1.
Table 1 Marketing techniques descriptions and examples
These techniques were adapted from Mulligan et al. (2020)(Reference Mulligan, Potvin Kent and Christoforou19). All food marketing exposures (n 139) and their marketing techniques were coded by a master coder. In this approach, one researcher (AA) served as the standard, while a second reviewer (MP) was used as a reliability coder. The reliability coder coded a subset of the total data set to establish inter-rater reliability with the master coder. In our study, the second reviewer (MP) coded a random 25 % sample(Reference Syed and Nelson20). Each reviewer identified the presence (or lack thereof) of marketing techniques for every food marketing exposure. The coding of marketing techniques between the two reviewers was compared, and inter-rater reliability was calculated using Cohen’s κ. The overall inter-rater reliability was found to be 0·71. According to McHugh’s (2012), 0·61–0·80 can be interpreted as having a substantial level of agreement(Reference McHugh21).
Data analysis
Participants were classified as being exposed or not to elements of food marketing content (e.g. food category, PAHO classification, food marketing techniques, etc.). Descriptive statistics were then tabulated. Gender differences in the frequency and content of exposures were tested using a Mann–Whitney U test and Fisher’s exact tests, as appropriate, on 2 × 2 tables. Data were analysed using IBM SPSS v.27.0., 2020(22).
Results
Overall, there were sixty-two participants (n 36 girls, n 26 boys) in this study. Those who identified as a girl accounted for 58 % of participants, with 53 % being 12 or 13 years old. Boys accounted for 42 % of participants, with 38 % being 15 years of age. As shown in Table 2, 65 % of all participants were White, and over half (52 %) were from households whose annual income was $100 000 or more. Instagram (47 %) followed by Snapchat (44 %) were the preferred social media apps for girls, whereas boys most frequently used Instagram (35 %), followed by YouTube (31 %).
Table 2 Sociodemographic characteristics and social media use of all participants (n 62)
* Note that the sum of %’s do not add up to 100 due to rounding.
† Income before taxes and deductions.
Exposures to food marketing
Of the sixty-two participants in this study, forty-seven (76 %) were exposed to an instance of food and beverage marketing. The number of exposures viewed by participants did not differ significantly between boys and girls (median = 2 for boys and girls, respectively, Mann–Whitney U = 237, P = 0·51) (data not shown). As shown in Table 3, the source of food marketing exposure viewed most by participants was food advertisements (50 %) followed by food marketing embedded in other web content (40 %). More boys viewed food advertising (54 % v. 47 %) and celebrity-generated content (15 % v. 6 %) compared to girls, whereas a greater share of girls viewed instances of food marketing embedded in other web content (47 % v. 31 %) compared to boys. Gender differences in exposure to food marketing sources were not statistically significant.
Table 3 Participant’s exposure source to food marketing in 10 min of social media use, by gender
Food categories
As shown in Table 4, the food categories most viewed by participants were fast foods (50 % of participants), cakes, cookies, and ice cream (19 %), sugar-sweetened beverages (19 %) and candy and chocolate (16 %). Half (50 %) of all boys viewed instances of marketing promoting fast foods, followed by sugar-sweetened beverages (27 %), non-fast-food restaurants (12 %) and condiments (12 %), while half of girls (50 %) viewed instances of marketing promoting fast foods, followed by cakes, cookies, and ice cream (28 %), candy and chocolate (22 %), and snacks (17 %). Gender differences in exposure to food categories were not statistically significant.
Table 4 Participants exposures to food categories in 10 min of social media use, by gender
* It is possible for more than one food item to be present in a single ad; therefore, percentages will be higher than 100.
† Items not categorised in the above, such as beef broth.
Healthfulness
As shown in Fig. 1, 64 % of girls viewed instances of food marketing exposures containing ultra-processed food items compared with 50 % of boys, whereas 27 % of boys viewed instances of minimally processed/processed items compared with 17 % of girls. Gender differences in exposure to food healthfulness were not statistically significant.
Fig. 1 Percentage of participants exposed to products classified as minimally processed/processed and ultra-processed, as determined by the PAHO NPM, in instances of food marketing viewed during 10 min of social media use, by gender
Over half of participants (63 %) viewed products that contained excessive amounts of at least one nutrient. As shown in Table 5, 53 % of participants viewed instances of marketing containing total fat, followed by saturated fat (52 %) and free sugars (44 %). More girls viewed products that were excessive in total fat compared to boys (67 % v. 35 %, P = 0·02). Overall, girls were more likely to view marketing instances containing greater amounts of each nutrient compared to boys. With the exception of total fat, none were found to be statistically significant.
Table 5 Participants exposure to healthfulness of products, as determined by the PAHO NPM, viewed by participants in 10 min of social media use, by gender
Marketing techniques
As demonstrated in Table 6, overall, the presence of a brand (68 % of participants), graphic imagery (56 %) and appeals to joy (53 %) were the most viewed marketing techniques by all participants. Boys were significantly more likely to view instances of food marketing where the gender of the dominant product user was a man or boy (50 % v. 22 %, P = 0·03), exposures appealed to achievement (42 % v. 17 %, P = 0·04) or athleticism (35 % v. 11 %, P = 0·03), and exposures featured an influencer (42 % v. 14 %, P = 0·02). Girls were significantly more likely to view instances of food marketing featuring quizzes, surveys or polls (25 % v. 0 %, P = 0·01).
Table 6 *Participant exposures to marketing techniques in 10 min of social media use, by gender
* Any technique not listed above was not viewed within an exposure by participants.
† It is possible for more than one technique to be present in a single ad; therefore, percentages will be higher than 100.
Discussion
This study provides preliminary insights into the content adolescent boys and girls viewed on their two favourite social media apps according to source of marketing exposure, the healthfulness and food category of viewed food products, and marketing techniques. As hypothesised, marketing techniques used to promote food and beverages differed by gender. Our results also suggest that gender differences may exist with respect to healthfulness of promoted foods.
Differences in food categories
Fast foods were the most frequently viewed food category in our study, with half of participants having viewed a food marketing instance containing a fast-food item. This is to be expected, as fast foods are regularly one of the most marketed food products to adolescents, highlighting a universal pattern(Reference Harris, Yokum and Fleming-Milici10,Reference Kucharczuk, Oliver and Dowdell11,Reference Elliott, Truman and Aponte-Hao23,Reference Demers-Potvin, White and Potvin Kent24) . The ubiquity of fast-food marketing is problematic as there is a demonstrated relationship between marketing exposures, food choice and increased consumption of unhealthy foods after social media use(Reference Qutteina, Hallez and Raedschelders25). The volume of online fast-food marketing is concerning as excessive consumption of these items are associated with an increased risk of obesity, CVD and diabetes(Reference Moubarac26).
Differences in healthfullness
The results of our content analysis also revealed that 64 % of girls viewed marketing exposures that contained ultra-processed foods. Like this study, a small, exploratory study examining the food messages Flemish adolescents were exposed to on social media found that ultra-processed foods, such as fast foods, made up 67 % of the messages they viewed(Reference Qutteina, Hallez and Mennes27). Food items that are ultra-processed have low nutritional quality, are highly palatable and typicaly require little culinary preparation making them convenient and appealing to adolescents(Reference Moubarac26). In 2015, nearly 50 % of daily caloric intake for Canadian females aged 13–18 years and 53 % of daily caloric intake for males aged 13–18 years were composed of ultra-processed foods(Reference Polsky, Moubarac and Garriguet28).
Marketing is powerfully influential in not only reflecting norms and gender perceptions, but in shaping them(Reference Chisholm and Sheehan29). Social and cultural norms are a key component in the formation of food preferences(Reference Gough30) and as youth seek independence from family and conform to the norms of their surroundings, including what is viewed on social media, they are at risk of adopting unfavourable health behaviours, such as the excessive consumption of ultra-processed foods. The frequency at which food marketing is displayed can create normative views regarding diet(Reference Qutteina, Hallez and Mennes27). High frequencies of marketing containing ultra-processed foods can easily influence attitudes about diet and eating behaviours. Food and beverage companies may be using marketing techniques that are more appealing to girls and women in attempts to increase consumption of ultra-processed foods to a group that is traditionally health conscious(Reference Bärebring, Palmqvist and Winkvist31). This type of targeting may be an effort to rewrite existing social norms where girls are more concerned with dieting and weight loss by exposing them to greater amounts of unhealthy food in attempts to increase consumption.
The emerging picture of digital marketing is one of an environment that heavily promotes and normalises the overconsumption of ultra-processed food(Reference Qutteina, Hallez and Mennes27). For this reason, it is imperative that researchers explore the methods that companies use to target consumers based on gender to develop specific food marketing restrictions. Although the diets of women and girls have historically been healthier(Reference Zhu, Brescoll and Newman32) as they are generally more health conscious than boys, the propagation of ultra-processed food products through social media could be shaping a new reality. If continued unabated, digital marketers may rewrite the norms of dietary habits for young girls, resulting in an increase of obesity and other chronic disease rates.
Gender differences in exposure to various marketing techniques
One of the most significant findings of this study was that exposures to marketing techniques, as hypothesised, differed by gender. An interesting result was that boys viewed food marketing instances where the dominant product user was a man or boy. These findings are congruent from Ogle et al.’s experimental study where they found children preferred food products where the packaging depicted a licensed cartoon character that represented their gender(Reference Ogle, Graham and Lucas-Thompson33). Using gender and gender stereotypes creates relatability, which helps establish a sense of connection to the product, translating into increased awareness and sales(Reference Royo-Vela, Aldas-Manzano and Küster34). A study conducted by Higgins et al. (2018) concluded that advertising campaigns that used age and gender data were able to achieve statistically significant boosts in engagement by using gender-specific marketing strategies(Reference Higgins, Mulvenna and Bond35). This suggests that the use of gender in marketing is deliberate and can be used to entice a viewer based on their gender and is evidence of individualised, gender-specific, curated marketing. Further, evidence from alcohol and tobacco studies suggests that people can be influenced by marketing that models qualities, such as gender, that consumers find relatable(Reference Hill and Friel36,Reference Jung and Hovland37) . When an adolescent positively identifies with the person promoting a food product, an individual’s gender in this case, their food choices and consumption habits favour the product regardless of healthfulness(Reference Kucharczuk, Oliver and Dowdell11). Taking a page from tobacco and alcohol, food marketers, therefore, could be leveraging existing sex and/or gender differences to impact behaviour, resulting in the reinforcement of sex-/gender-based differences and deepening sex-/gender-based preferences for particular foods(Reference Zhu, Brescoll and Newman32).
Our study also found that boys were significantly more likely to view instances of food marketing that featured appeals to achievement and athleticism and include the presence of an influencer. Achievement, athleticism and the utilisation of masculinity were themes uncovered in a study that explored how sugar-sweetened beverages were marketed to Australian youth through branded Facebook pages(Reference Ourahmoune and Nyeck39). Showcasing achievement and athleticism in food and beverage marketing strategically aligns a product within sociocultural values and practices found important to the male demographic(Reference Ourahmoune and Nyeck39). In doing so, food and beverage companies portray their products as having a regular place within the consumers’ everyday life. This type of manipulation is concerning given the impressionable nature of adolescents(Reference Kucharczuk, Oliver and Dowdell11) and the associations that can be developed between male stereotypes and unhealthy food.
Influencers, including athletes and celebrities, are often used to market products(Reference Murphy, Corcoran and Tatlow-Golden7). A study that investigated pre-adolescent children’s responses to child-oriented front-of-pack food promotions found that sports celebrity endorsements of unhealthy food products persuaded participants preferences for those items over healthy food or non-food options(Reference Dixon, Scully and Niven40). Boys favoured packages that focused on athletics, which traditionally demonstrates stereotypical masculine characteristics like athleticism and strength(Reference Brownbill, Miller and Braunack-Mayer38,Reference Dixon, Scully and Niven40) . Using an influencer, like a famous athlete, to market food and beverages also creates the added appeal of achievement, which can result in the viewer forming an association between consuming the product and being successful. Using influencers like sports figures to market unhealthy food and beverages can create a ‘health halo’, deceiving adolescents into false impressions of these items being healthy(Reference Fernan, Schuldt and Niederdeppe41). These findings are troubling as celebrities and influencers were found to promote unhealthy foods significantly more often than healthy foods(Reference Kucharczuk, Oliver and Dowdell11).
Conversely, a significantly greater proportion of girls viewed food marketing exposures that used polls, surveys or questionnaires. This could be due to the platforms used by this study’s participants, as polls, surveys and questionnaires are often found on Snapchat Discover(Reference Bump42). Research supports that there is a difference in how females and males respond to online surveys(Reference Smith43). Gender can shape behaviour with females being more likely to engage in online activity characterised by communication and exchanging of information (surveys), whereas males are more likely to engage in online activity characterised by seeking information(Reference Jackson, Ervin and Gardner44). Companies may use the tactic of surveys, polls and questionnaires as hooks to entice women to interact with their products. Young women interacting with food and beverage company surveys, polls and questionnaires may be less aware of the promotional intent of the marketing as it is being veiled as interactive content(Reference Jackson, Ervin and Gardner44). Further, adolescents who are more engaged with online content are more likely to share and create similar content of their own, which can reinforce and/or establish food and diet social norms(Reference Murphy, Corcoran and Tatlow-Golden7).
Targeted marketing
Half of all participants in this study were exposed to food advertisements. Digital marketing creates unique challenges in restricting youth’s exposure to unhealthy foods. Unlike television, each social media user views a different set of food marketing instances depending on their food preferences and previous interactions with a brand or other content(Reference Tatlow-Golden and Parker45). Research conducted by the UConn Rudd Center for Food Policy and Obesity in 2019 documented the increasing amount of unhealthy food advertising that targets Hispanic and Black youths(Reference Harris, Frazier and Kumanyika46). The report highlighted that multicultural food marketing, marketing that is designed to appeal to individuals of different racial and/or ethnic groups, continues to disproportionately target youth of colour and contributes to health disparities affecting these populations, the impetus of which should be applied to gender. Multicultural targeting raises public health concerns and perpetuates negative diet-related health disparities affecting ethnic populations(Reference Tatlow-Golden and Parker45,Reference Harris, Frazier and Kumanyika46) . Conclusions drawn from multicultural food marketing and results from our research highlight the importance of evaluating how companies and affiliates are targeting specific demographics, potentially perpetuating health disparities.
The marketing of other commodities, such as tobacco and alcohol, have regularly and successfully used gender-targeted marketing. Alcohol and tobacco companies have long been attracting new consumers by developing marketing strategies that exploit gender norms and stereotypes(Reference Hill and Friel36). For example, the tobacco industry put in a concerted effort towards increasing the female consumer base by creating advertisements that use beauty to draw women’s attention(Reference Hill and Friel36). Slim cigarettes advertised as feminine are one example of this approach. Alcohol advertisements have used targeted segmentation, which is a strategy used for isolating gender differences to make advertisements more appealing to an intended audience(Reference Jung and Hovland37). Examples of segmentation techniques include using imagery and emotional connections, which have been shown to effect men and women differently(Reference Jung and Hovland37). Being cognizant of targeting strategies that utilise gender stereotypes is important for informing polices that are protective of the targeted audience.
Food products become gendered as a result of marketing strategies that are tailored towards a specific gender. Branding and promotional techniques are utilised in a way where a product essentially becomes ‘food for boys’ or ‘food for girls’. Overall, a greater share of boys in this study viewed instances of targeted marketing techniques, compared with girls. An explanation for these observed differences might be the proportion of males used in marketing, and that marketing tends to focus on boys because they are more susceptible to food advertisements(Reference Sadeghirad, Duhaney and Motaghipisheh47).
Our study suggests that gender differences may be playing a role in the design of marketing strategies, which could be leading to the perpetuation of unhealthy eating behaviours, creating gender disparities in food choices and overall health. Gender bias may exist, underscoring the need for solutions and future research that emphasise the role gender plays in food marketing. Additional research that directly tests promotional strategies designed to elicit gendered engagement would allow for more conclusive results and would eliminate attentional or consumption bias.
Strengths and limitations
To our knowledge, this is the first study that examines the digital marketing techniques adolescents viewed, according to their gender. Given the exploratory nature of this research, there are several limitations. Participants’ exposure to food marketing on their favourite social media sites were only captured over a 10-min period. The short duration of the viewing time is not representative of the average viewing time adolescents spend on social media applications. Further, newer social media apps like TikTok and Twitch were not captured in this study but have been shown to impact attitudes and behaviours in relation to food and beverage marketing(Reference Pollack, Gilbert-Diamond and Emond48). Additionally, this study only included a small convenience sample of participants, where 65 % of participants were White, and over half were from households whose annual income was $100 000 or more. Participants were also only recruited from Ottawa, and as a result, findings may not be generalisable to the Canadian population. This study did not consider confounding variables, and as such observed differences between gender groups could be attributable to other factors such as differences in age. Lastly, the full scope of marketing exposures including both food and non-food marketing instances was not captured. Insights into the proportion of digital food and beverage content adolescents are exposed to compared with non-food content would provide a more fulsome picture of the online food environment.
Despite this, the results of our research provide preliminary insights into gender targeting being used to digitally market unhealthy food and beverage products to adolescents. Awareness of these differences is important for understanding food choices and subsequent health differences between boys and girls. The results of this study can provide insights into programmes and policies that protect adolescents of different genders from targeted marketing techniques. Determining how to better identify gender-specific marketing appeals will allow for the monitoring of message content that can inform regulatory policies on food marketing to adolescents. Given the paucity of research that explores digital food and beverage gender-based marketing techniques directed at adolescents, a broad range of research is required. Future research would benefit from using a larger sample size and investigating how adolescents, based on gender, perceive the food marketing exposures they are engaging with over social media applications. This exploration would provide valuable insights into how adolescents personally interact with food and beverage companies, helping draft regulations that are informed by those most impacted.
Conclusion
To address the growing obesity epidemic, the World Health Organisation (WHO) recommends restricting unhealthy food advertising to youth, compelling states to implement policies and regulations that limit child and adolescent’s exposure to the marketing of unhealthy, nutrient-poor foods(49). Stringent regulation is needed to address the persuasive tactics used by food and beverage companies that target adolescents and children. Just as marketing is most effective when it targets specific groups or individuals, so too is the creation of public health policies and regulations. Gender is a determinant of health and therefore must be considered in digital food and beverage marketing research and future policies that address obesogenic environments.
Acknowledgements
Acknowledgements: None. Financial support: This research received no specific grant from any funding agency, commercial or not-for-profit sectors. Authorship: M.P.K. contributed to the conception of the project. A.A. collected, analysed and interpreted the data and drafted the work. E.P. provided nutritional analysis and substantively revised the work. L.R. helped with statistical analysis of the data and revised the work. M.P. coded the data. All authors have read and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the University of Ottawa’s Health Sciences and Science Research Ethics Board. Written informed consent was obtained from all subjects/patients.
Conflicts of interest:
There are no conflicts of interest.
Supplementary material
For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980022002312
Open access
