Perception and Impact of Food and Beverage Marketing on Children’s Eating Behaviors and Associated Health Issues
Anshoo Agarwal, Safya E Esmaeel, Ritage A Alrawili, Fai B Alanazi, Eman Alanazi, Amani F Alhazimi

TL;DR
This study shows that food marketing influences children's eating habits, leading to preferences for unhealthy foods and contributing to obesity.
Contribution
The study identifies a link between food advertising and children's unhealthy eating behaviors, emphasizing the need for stricter marketing guidelines.
Findings
Most children prefer fast food and associate TV watching with eating high-calorie foods.
A significant portion of children are overweight, and many parents are aware of unhealthy diets.
Children exposed to food marketing develop attitudes that negatively impact their health.
Abstract
Background and objective: Children are more susceptible to food and beverage marketing than adults, but little is known about the specific effects of marketing through the media most used by children. This study aims to discover variables that can help inform childhood obesity prevention strategies. Our findings indicate an association between food advertisements and children’s consumption, evidencing a need for the concerned authorities to create strict guidelines that consider the nutritional value of advertised foods. This study aims to study the attitudes and practices of children related to their preference for unhealthy meals due to food marketing and their association with childhood obesity. Methodology: A cross-sectional study of randomly selected guardians of children who were screened for obesity. A structured questionnaire was given to the children’s parents. Results: The…
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| Characteristics | Category |
|
| Age (years) | 2-4 years | 57 (15.3%) |
| 4-6 years | 48 (12.9%) | |
| 6-8 years | 65 (17.4%) | |
| 8-10 years | 65 (17.4%) | |
| 10-12 years | 138 (37.0%) | |
| Sex | Male | 169 (45.3%) |
| Female | 204 (54.7%) | |
| Nationality | Saudi | 338 (90.6%) |
| Non-Saudi | 35 (9.4%) | |
| Height | <50 | 1 (0.3%) |
| 50-75 cm | 71 (19.0%) | |
| 76-100 cm | 69 (18.5%) | |
| 101-125 cm | 81 (21.7%) | |
| 126-150 cm | 84 (22.5%) | |
| >150 cm | 49 (13.1%) | |
| Weight (kg) | Mean ± SD | 35.02 ± 18.56 |
| Does the child attend school? | Yes | 206 (55.3%) |
| No | 169 (44.7%) | |
| Education of parents | Primary | 15 (4.0%) |
| Intermediate | 14 (3.8%) | |
| Secondary | 79 (21.2%) | |
| Higher degree | 265 (71.0%) | |
| Parent job | Employed | 91 (24.4%) |
| Teacher | 107 (28.7%) | |
| Housewife | 125 (33.5%) | |
| Other specify (business persons, students, doctors, nurses, pharmacists, and technicians) | 50 (13.4%) |
| Characteristics | Category | Yes, | No, | I don’t know, |
| Awareness of unhealthy meals and associated risk factors for obesity and its complications | Does the child eat healthy meals? | 287 (76.9%) | 71 (19.1%) | 15 (4.0%) |
| Does the child prefer fast food? | 291 (78.0%) | 63 (16.9%) | 19 (5.1%) | |
| Does the child eat fruits and vegetables daily? | 198 (53.1%) | 163 (43.7%) | 12 (3.2%) | |
| Do you know about unhealthy diets? | 340 (91.2%) | 23 (6.3%) | 10 (2.7%) | |
| Is the child overweight? | 105 (28.2%) | 255 (68.3%) | 13 (3.5%) | |
| Does the child try to lose weight? | 168 (45.0%) | 191 (51.2%) | 14 (3.8%) | |
| Activity level | Is the child active in general? | 288 (77.2%) | 78 (20.8%) | 7 (1.9%) |
| Does the child have weekly physical activity? | 180 (48.3%) | 182 (48.8%) | 11 (2.9%) | |
| If yes, how many times? | ||||
| Daily | 45 (25.0%) | 0 (0.0%) | 0 (0.0%) | |
| Weekly | 77 (42.8%) | 0 (0.0%) | 0 (0.0%) | |
| Once in a while | 40 (22.2%) | 0 (0.0%) | 0 (0.0%) | |
| Other | 18 (10.0%) | 0 (0.0%) | 0 (0.0%) | |
| Does the child have only light physical activity in most weeks? | 281 (75.3%) | 80 (21.4%) | 12 (3.2%) | |
| If yes, how many times? | ||||
| Daily | 78 (27.8%) | 0 (0.0%) | 0 (0.0%) | |
| Weekly | 126 (44.8%) | 0 (0.0%) | 0 (0.0%) | |
| Once in a while | 42 (14.9%) | 0 (0.0%) | 0 (0.0%) | |
| Other | 35 (12.5%) | 0 (0.0%) | 0 (0.0%) | |
| Does the child have vigorous physical activity once or twice a week? | 106 (28.4%) | 252 (67.6%) | 15 (4.0%) |
| Characteristics | Category | Yes n (%) | No n (%) | I Don’t Know n (%) |
| History of diabetes | Does the child have chronic Illness? | 53 (14.2%) | 318 (85.3%) | 2 (0.5%) |
| Is there a family history of diabetes mellitus? | 187 (50.1%) | 178 (47.7%) | 8 (2.2%) | |
| Does the child have diabetes mellitus? | 27 (7.2%) | 339 (90.9%) | 7 (1.9%) | |
| If yes, for how long? | ||||
| Less than 10 years | 21 (77.7%) | 0 (0.0%) | 0 (0.0%) | |
| More than 10 years | 6 (22.3%) | 0 (0.0%) | 0 (0.0%) | |
| If yes, does the child take diabetes treatment? | 28 (7.5%) | 340 (91.2%) | 5 (1.3%) | |
| If yes, which treatment does the child take? | ||||
| Insulin | 15 (53.6%) | 0 (0.0%) | 0 (0.0%) | |
| Other medication | 13 (46.4%) | 0 (0.0%) | 0 (0.0%) | |
| Does the child follow diet restrictions due to diabetes mellitus? | 73 (19.6%) | 289 (77.5%) | 11 (2.9%) | |
| Do you know that you can reduce your risk of obesity by avoiding unhealthy meal patterns? | 329 (88.2%) | 40 (10.7%) | 4 (1.1%) | |
| Do you know that eating a lot of red meat increases child obesity risk? | 257 (68.9%) | 97 (26.0%) | 19 (5.1%) | |
| Do you know that foods classified as processed, with low nutritional value due to their high sugar, fat, or salt content, dominate advertisements? | 307 (82.3%) | 48 (12.9%) | 18 (4.8%) | |
| Do you know that dietary fiber lowers the risk of obesity? | 320 (85.8%) | 37 (9.9%) | 16 (4.3%) | |
| Do you know that fruits and vegetables prevent the risk of obesity? | 340 (91.2%) | 28(7.5%) | 5(1.3%) | |
| Do you know that people who are obese are at higher risk of having a heart attack or stroke? | 327(87.7%) | 32(8.6%) | 14(3.7%) | |
| Do you know that the obese are more susceptible to cardiovascular disease if they are overweight or obese? | 352(94.4%) | 16(4.3%) | 5(1.3%) |
| Characteristics | Category | True, | False, | I don’t know, |
| Perceptions and attitudes regarding watching food advertisements and buying meals | Do you know that success, happiness, adventure, and fun are some of the concepts used in the advertising of products with low nutritional value? | 299 (80.2%) | 43 (11.5%) | 31 (8.3%) |
| Do you correspond to food products with low or no nutritional quality, which never helps to prevent obesity? | 219 (58.7%) | 107 (28.7%) | 47 (12.6%) | |
| Do food advertisements give the impression that consuming food products will make your child popular among his/her friends? | 216 (57.9%) | 126 (33.8%) | 31 (8.3%) | |
| Do you think that, in advertising aimed at children under 12 years, popular characters influence the marketing of the product? | 306 (82.0%) | 49 (13.2%) | 18 (4.8%) | |
| Do you think about the relationship between television (TV) watching and high-calorie food intake? | 326 (87.4%) | 30 (8.0%) | 17 (4.6%) | |
| Do you think that TV is the channel most widely used by advertisers to market food and beverages, since it is highly effective among children, especially at an early age? | 265 (71.0%) | 87 (23.4%) | 21 (5.6%) | |
| Do you agree that TV advertising of products of low nutritional quality should be restricted to reduce childhood obesity rates? | 318 (85.3%) | 38 (10.1%) | 17 (4.6%) | |
| Do you think that the purchasing decision process is strongly associated with the message of the ad, which is linked with pleasure and rewarding experiences? | 285 (76.4%) | 51 (13.7%) | 37 (9.9%) | |
| Do you think that “emotional eaters” consume energy-dense foods with low nutritional value in response to negative emotions to a greater extent than the general population? | 284 (76.1%) | 39 (10.5%) | 50 (13.4%) | |
| Do you think that the government has a responsible to alert the public to the health problems related to a specific type or class of food or beverage advertisement? | 319 (85.5%) | 27 (7.2%) | 27 (7.2%) |
| Category | Underweight, | Normal, | Overweight, | Obese I, | Obese II, | Obese III, |
|
| Age (years) | 0.005 | ||||||
| 2-4 years | 0 (0.0%) | 57 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| 4-6 years | 0 (0.0%) | 48 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| 6-8 years | 0 (0.0%) | 65 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| 8-10 years | 2 (3.1%) | 63 (96.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| 10-12 years | 18 (13.0%) | 113 (81.9%) | 3 (2.2%) | 1 (0.7%) | 0 (0.0%) | 1 (0.7%) | |
| Sex, | 0.013 | ||||||
| Male | 1 (0.6%) | 166 (98.2%) | 0 (0.0%) | 1 (0.6%) | 0 (0.0%) | 1 (0.6%) | |
| Female | 19 (9.3%) | 179 (87.7%) | 3 (1.5%) | 1 (0.5%) | 1 (0.5%) | 1 (0.5%) | |
| Nationality, | 0.002 | ||||||
| Saudi | 18 (5.2%) | 314 (92.8%) | 3 (0.8%) | 1 (0.2%) | 1 (0.2%) | 1 (0.2%) | |
| Non-Saudi | 2 (5.7%) | 32 (91.4%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (2.9%) | |
| Parent education, | 0.021 | ||||||
| Primary | 1 (6.7%) | 13 (86.7%) | 0 (0.0%) | 1 (6.7%) | 0 (0.0%) | 0 (0.0%) | |
| Intermediate | 0 (0.0%) | 14 (100%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Secondary | 6 (7.6%) | 73 (92.4%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Higher degree | 13 (4.9%) | 246 (92.8%) | 0 (0.0%) | 1 (0.4%) | 0 (0.0%) | 2 (0.8%) | |
| Parent occupation, | 0.793 | ||||||
| Employed | 6 (6.6%) | 83 (84.4%) | 1 (1.1%) | 0 (0.0%) | 0 (0.0%) | 1 (1.1%) | |
| Teacher | 7 (6.7%) | 97 (90.7%) | 1 (0.9%) | 1 (0.9%) | 1 (0.9%) | 0 (0.0%) | |
| Housewife | 4 (3.2%) | 120 (96.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (0.8%) | |
| Other specify (business persons, students, doctors, nurses, pharmacists, and technicians) | 3 (6.0%) | 46 (92%) | 1 (2.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
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Taxonomy
TopicsSpanish Culture and Identity · Spanish History and Politics
Introduction
According to the latest report from the World Health Organization, the prevalence of obesity among children has increased [1,2]. One of the causes of this increase is the relationship between advertising and high-calorie food intake [3-6]. Communication media, including television (TV), is the primary means of marketing food and beverages to children, as it is highly effective [7]. Some advertisements for food with little nutritional value mislead even consumers who believe in healthy products [8], while others from companies in the food and beverage industry fail to adhere to regulations [9]. It has been highly recommended that advertisements of products low in nutritional value should be restricted [10,11], as childhood obesity can be reduced if the advertising of unhealthy food is limited [12]. However, little is known about the specific effects of marketing through the types of media mostly used by children [13]. Advertising for low-nutrition food uses more visual and audio effects than advertisements for typically nutritious food [14,15], and viewing food advertisements activates areas in the brain related to decision-making. In addition, fictional characters popular among children are combined with messages about health and nutritional quality in food advertisements [16]. Because children respond to these attention-grabbing advertisements, there are negative ramifications for their health, including obesity. There is also concern for people who seek to supplement their emotional needs through food intake (i.e., emotional eaters), especially with energy-dense foods with low nutritional value [17]. Children’s responsiveness to the marketing of unhealthy foods is an unsolved problem, and so we aim to study the attitudes and practices of children related to their preferences for unhealthy meals due to food advertising and their association with childhood obesity, specifically in Arar, Kingdom of Saudi Arabia (KSA).
Materials and methods
Study design and participants
A cross-sectional study of randomly selected guardians (i.e., mothers, fathers, and grandparents) of children who were screened for obesity through an online survey. Children aged below 12 living in the Northern Border Region were included in our study, and children aged over 12 and those who had an infectious disease like bronchitis were excluded. Informed consent was obtained from all the participants, and ethical clearance was obtained from the ethical committee of the College of Medicine at Northern Border University before the commencement of the study.
The study was conducted from October 2023 until April 2024 and assessed the attitudes and practices of children related to their preferences for unhealthy meals due to food advertising. A structured questionnaire was given to the children’s parents.
The survey questions were adopted from the previous studies [2, 7] and were divided into four sections:
Demographic details of the child, including age, sex, weight, and height
Awareness of the parents about unhealthy meals by asking about daily children’s eat and preferred fast food
Associated risk factors for obesity include (eating unhealthy food, less vegetables and fruit, and less physical activity ), its complications, and the child’s history of diabetes
Perceptions and attitudes toward watching food advertisements and buying meals by asking parents about their knowledge of the concept used in advertisements and asking them about the relationship between television watching and high-calorie food intake.
Anthropometric data, including body mass index (BMI), was statistically calculated.
The categories of BMI [2] included the following ranges:
· Underweight: 16.0 to 18.5 (53.5-59.9 kg)
· Normal weight: 18.5 to 25 (60-80.9 kg)
· Overweight: 25 to 30 (81-96.9 kg)
· Obese Class I: 30 to 35 (97-112.9 kg)
· Obese Class II: 35 to 40 (113-129.9 kg)
· Obese Class III: over 40 (over 130 kg)
Statistics
Data were obtained for analysis using IBM SPSS Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY). The results were presented as percentages and frequency distribution. The chi-square test was used to assess the association between various categorical variables. A P-value smaller than 0.05 was considered significant.
Results
Table 1 shows that of the 373 children who participated in the study through their guardians, 57 (15.3%) were aged between two and four years and the majority (138, 37.0%) were aged between 10 and 12. There were 204 (54.7%) females and 169 (45.3%) males. Of the participants, the majority (338, 90.6%) were Saudi nationals. The distribution of height was as follows: 71 (19.0%) were 51-75 cm, and 84 (22.5%) were 126-150 cm. The participants’ mean weight was 35.02 ± 18.56 kg. Just over half of the children (206, 55.3%) attended school. Of the parents, 79 (21.2%) had completed their secondary education and 265 (71.0%) had their advanced degree. Regarding employment, 91 (24.4%) of the parents were working, 107 (28.7%) were teachers, and 50 (13.4%) held other occupations such as businessperson, doctor, nurse, pharmacist, and technicians or were students.
Table 2 shows that according to most participants in the survey, their child preferred fast food (291, 78.0%), ate healthy meals (287, 76.9%), and ate fruits and vegetables every day (198, 53.1%). A vast majority of the participants (340, 91.2%) indicated that they were aware of unhealthy diets, and only 105 (28.2%) said their child was overweight. Regarding physical activity, 168 participants (77.2%) said their child is active most of the time, while 48.3% said their child participates in physical activity once a week. Of those who exercise, 45 (25.0%) do so every day, 77 (42.8%) do so once a week, and 40 (22.2%) do so occasionally. In addition, 281 (75.3%) participants reported that their child engages in only moderate physical activity for the majority of the week, compared to 78 (27.8%) doing so daily, 126 (44.8%) doing so weekly, 42 (14.9%) doing so occasionally, and 35 (12.5%) doing so at other times. Finally, 106 (28.4%) participants mentioned that their children engaged in intense physical exercise once or twice a week.
Table 3 shows that 53 (14.2%) children of the participants had a chronic illness. About half of the participants (187, 50.1%) had a family history of diabetes mellitus. Only 27 (7.2%) parents reported that their child was currently diagnosed with diabetes, which is a lower percentage than the other parents. Of the children with diabetes, most (21, 77.7%) had only received a diagnosis within the last 12 months, and 28 (7.5%) were receiving treatment, either using insulin (15, 53.6%) or another drug (13, 46.4%). Furthermore, 13 (19.6%) of the young diabetics were adhering to dietary guidelines. Regarding obesity prevention, 329 (88.2%) participants knew that eating fewer unhealthy meal patterns could lower the risk of obesity, while 257 (68.9%) were aware that eating a lot of red meat raises the risk of obesity. A significant number of the participants (307, 82.3%) knew that commercially processed foods often have low nutritional value and that eating dietary fiber (320, 85.8%) and fruits and vegetables (340, 91.2%) can reduce the risk of obesity. The higher risk of heart attack, stroke, and cardiovascular disease linked to obesity was also known to the participants; 327 (87.7%) and 352 (94.4%), respectively, acknowledged this risk.
Table 4 shows that the majority of the participants (299, 80.2%) agreed that terms like success, enjoyment, adventure, and fun appear in advertisements for low-nutrition products. Furthermore, over half of the participants (219, 58.7%) considered food items with inadequate or nonexistent nutritional value ineffective in averting obesity. Participants (216, 57.9%) also believed that food advertisements conveyed the idea that their children would be popular with their peers by purchasing or consuming food items. Many participants (306, 82.0%) agreed that well-known characters in advertisements targeting children under the age of 12 influenced their decision to buy the product. A majority of the participants (326, 87.4%) thought that watching TV was associated with eating high-calorie foods, and 265 (71.0%) believed that advertisers primarily use TV to market food and beverages, particularly to children. Participants also agreed that, to lower the rates of childhood obesity, TV advertisements for low-nutrition goods should be limited (318, 85.3%) and that their decision-making when making a purchase was strongly influenced by advertisements’ use of pleasure and fulfilling experiences in their messaging (285, 76.4%). A majority of the participants (319, 85.5%) believed that the government should require food and beverage advertisers to alert consumers to the potential health risks associated with particular food or beverage types or classes. In addition, most of the participants (284, 76.1%) thought that emotional eaters eat high-energy foods when they experience negative emotions to a greater extent than the general population.
Table 5 shows a statistically significant association between the age of the child and their BMI categories (P = 0.005). Among all age groups, children aged between 10 and 12 were the most likely to be overweight or obese. Gender was also a significant factor (P = 0.013), with a higher proportion of females classified as overweight or obese. Nationality and BMI categories were also significantly associated (P = 0.002), with a greater percentage of non-Saudi children classified as more obese than Saudi children. A child’s BMI category was also significantly associated with their parents’ education levels (*P *= 0.021): the higher the parents’ level of educational attainment, the higher the percentage of children classified in the overweight or obese categories.
Table 5: Association between demographic information and body mass index (BMI) of the children (n = 373).Data are presented as n and %; a P-value < 0.05 was considered statistically significant.
Discussion
We aimed to evaluate the perception and impact of food and beverage marketing on children’s eating behaviors and associated health issues. The findings of the study indicate that most children prefer fast food, eat healthy meals, and eat fruits and vegetables every day and that most children are not overweight. Furthermore, most parents are aware of unhealthy diets. Notably, the study found a gender disparity in regard to BMI, with a higher proportion of females being classified as overweight or obese. Similar to these findings, the study by Castonguay et al. indicated the existence of gender-based disparities in how food marketing affects people’s food intake, choices, and preferences, reactions to particular marketing tactics, attitudes and perceptions about food marketing, the need for regulation, and exposure to and the content of advertisements [18]. A study by Smith et al. also found that a wide range of marketing strategies, especially those employed in television, movies, and product packaging, lead to significant negative effects, including improved attitudes toward, preferences for, and increased consumption of marketed foods, especially among minors [19], indicating a greater tendency among children to consume advertised food compared to adults.
As found in this study, parents are generally aware that commercially processed foods often have low nutritional value. Parents also understand that to reduce the risk of obesity, eating dietary fiber and fruits and vegetables is essential. Despite this, as noted by Driessen et al., parents are not confident in their ability to feed their children healthy foods as a result of the variety of food products advertised more often through social media platforms. In addition, parents frequently underestimate their children’s exposure to and the effects of unhealthy food marketing, particularly in the digital environment [20]. A lack of oversight by parents means that more children are being exposed to unhealthy foods online.
This study also found a statistically significant relationship between children’s age and their BMI category, with children aged between 10 and 12 being more likely to be overweight or obese compared to younger age groups. This finding was corroborated by a study by Bragg et al., which noted that adolescent Black children were more attracted to food and beverage advertisements featuring White people as opposed to Black people and vice versa. On the other hand, the younger group of children was found to be attracted by the food products consumed by their peers [21], implying that the older children were, the more predisposed they were to consuming unhealthy foods.
In addition, the study found that watching TV is linked with eating high-calorie foods, since TV is the primary channel through which advertisers market food and beverages, particularly to children. It was also found that parents widely agree that, to lower the rates of childhood obesity, TV advertisements for low-nutrition goods should be limited, considering that their decision-making when making a purchase was strongly influenced by advertisements’ use of pleasure and fulfilling experiences in their messaging. These findings are similar to a study by Srivastava and Gupta, which found that the widespread promotion of food and beverages aimed at children is a significant contributor to their unhealthy eating habits. Stakeholders are concerned about the strategy employed by companies to actively market unhealthy foods to minors [22]. One aspect of this strategy is celebrity endorsements. According to Zhou et al., celebrity endorsements should be exclusively utilized to promote healthy eating to lower the risk of obesity among young Americans [23].
Nationality was also found to be a significant factor, with a greater percentage of Saudi children classified as more obese compared to non-Saudi children.
This study also examined emotional eaters, those who eat energy-dense foods when they experience negative emotions to a greater extent than the general population. Boyland et al. found that females eat more high-energy foods when they are depressed compared to males, who consume more alcohol when they are emotionally distracted or stressed [24]. These findings indicate that the inability to control one’s emotions can contribute to the consumption of unhealthy foods and beverages advertised to the younger generations.
The study also found a relationship between children’s BMI categories and their parents’ education levels. Children of higher educated parents are more likely to be overweight or obese. As found by Chiong and Figueroa, parental favorability toward food and beverage advertisements influences unhealthy food consumption among children. However, this association changes when food insecurity is taken into consideration. Chiong and Figueroa also found that parents with a higher level of education are more likely to explore advertised food products, which increases their children’s consumption of these products [25]. This implies that several risk factors associated with advertised food and beverage consumption contribute to health issues among children.
The current research has several limitations. First, it did not consider parents’ susceptibility to different marketing strategies aimed at children. Parents may react differently depending on their ages, gender, cultural background, and socioeconomic status. Another limitation is that it did not consider how other factors, such as parental attitudes and the availability of healthful food options, affect children’s eating behavior. These external variables may have a significant impact on how children chose to eat and on their overall health. These limitations should be taken into account when analyzing the findings and their implications for public health interventions.
Conclusions
This study has examined the role of food marketing in children developing attitudes about and making choices about unlimited healthy and unhealthy foods and the associated negative health effects. The study found strong evidence to support the restriction of food marketing to children. It is recommended that future research employ a wide range of methodologies to study contemporaneous marketing strategies.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Prevalence of obesity among children and adolescents in Saudi Arabia: a multicenter population-based study Saudi J Med Med Sci Al Enazi S Al Ajlan R Al Khalaf H 19251120233690900910.4103/sjmms.sjmms_417_22PMC 9997853 · doi ↗ · pubmed ↗
- 2Obesity prevalence, physical activity, and dietary practices among adults in Saudi Arabia Front Public Health Alsulami S Baig M Ahmad T 11240511120233705665610.3389/fpubh.2023.1124051 PMC 10086171 · doi ↗ · pubmed ↗
- 3The impact of marketing practices and its regulation policies on childhood obesity. Opinions of stakeholders in Spain Appetite Davó-Blanes MC Ortiz-Moncada R Gil-González D Alvarez-Dardet C Lobstein T 2162246220132322890310.1016/j.appet.2012.11.030 · doi ↗ · pubmed ↗
- 4Food advertising and prevention of childhood obesity in Spain: Analysis of the nutritional value of the products and discursive strategies used in the ads most viewed by children Nutrients Montaña M Jiménez-Morales M Vàzquez M 28731120193177128510.3390/nu 11122873 PMC 6950275 · doi ↗ · pubmed ↗
- 5Neighbourhood food environments: food choice, foodscapes and planning for health Proc Nutr Soc Lake AA 2392467720182949348210.1017/S 0029665118000022 · doi ↗ · pubmed ↗
- 6Beyond food promotion: a systematic review on the influence of the food industry on obesity-related dietary behaviour among children Nutrients Sonntag D Schneider S Mdege N Ali S Schmidt B 85658576720152650131910.3390/nu 7105414 PMC 4632434 · doi ↗ · pubmed ↗
- 7Children's measured exposure to food and beverage advertising on television in Toronto (Canada), May 2011-May 2019 Can J Public Health PauzéE Potvin Kent M 1008101911220213412921410.17269/s 41997-021-00528-1PMC 8651920 · doi ↗ · pubmed ↗
- 8A content analysis of video advertisements for dietary supplements in Japan Healthcare (Basel) Iye R Okuhara T Okada H Yokota R Kiuchi T 742920213420442110.3390/healthcare 9060742 PMC 8235716 · doi ↗ · pubmed ↗
