- Research
- Open access
- Published:
Association between watching eating shows and unhealthy food consumption in Korean adolescents
Nutrition Journal volume 23, Article number: 58 (2024)
Abstract
Background
Eating habits formed during adolescence greatly influence the maintenance of health in adulthood. With the recent development of social media and easy access to the Internet, adolescents watch plenty of food videos, particularly Mukbang and Cookbnag(eating show)content. This media genre’s impact on food choices has been covered in several studies; however, studies on unhealthy eating habits directly related to adolescents’ exposure to eating shows are insufficient.
Methods
For this study, we used data from the 18th Korea Youth Risk Behavior Survey conducted in 2022 and finalized 50,451 participants. The extent of exposure to eating show media over the course of a week, as well as the consumption of fast food, sugar-sweetened beverages (SSBs), and high caffeinated beverages within that week were measured through self-reporting questionnaires. We classified the participants into two groups based on their frequency of watching eating shows. A multiple logistic regression analysis was performed to investigate the association between eating show and unhealthy food consumption.
Results
For both males and females, eating show exposure was strongly associated with the consumption of fast food (male: OR:1.37, 95% CI:1.26–1.49; female: OR:1.46, 95% CI:1.36–1.57), SSB (male: OR:1.42, 95% CI:1.26–1.60; female: OR:1.51, 95% CI:1.35–1.70), and high caffeinated beverage (male: OR:1.30, 95% CI:1.23–1.37; female: OR:1.24, 95% CI:1.18–1.31). It was observed that both sexes were more likely to frequently eat unhealthy food than students who did not watch eating shows.
Conclusion
Among Korean adolescents, students exposed to eating shows, which primarily aim to entertain, were more likely to consume fast food, SSBs, and high caffeinated beverages. Therefore, this study's findings suggest that eating show could influence adolescents' food choices, highlighting the need for interest in emerging cultures and corresponding health policies.
Introduction
Nutritional habits formed during late childhood and adolescence are important as they continue into later stages of life [1]. Dietary habits formed during this period can affect adult physical development and cause age-related non-communicable diseases. However, adolescents whose eating habits have not yet been formed are more likely to be exposed to unhealthy foods than adults [2], as they are attracted to the positive factors inherent in instant food, such as convenience and the ability to enjoy it with friends [3]. The foods easily consumed by adolescents, such as fast food, sugar-sweetened beverages(SSB), and high caffeine beverages, are can led to various health issues, including obesity [4], hypertension [5], diabetes [6], depressive symptoms [7], cardiovascular diseases, and sleep disorders [8]. Therefore, there is a need for continued attention to adolescents' unhealthy food intake. There are various reasons why students choose these unhealthy foods, but among them, we have observed an association with media exposure.
According to previous research, regardless of content, digital media exposure influences adolescents' dietary intakes [9,10,11,12,13]. However, digital environments increasingly shape the surroundings of adolescents [14,15,16]; hence, understanding not only the form of media, but also the emergence and trends of various social media platforms that can influence adolescents' dietary habits is becoming increasingly important.
Various content available on the new media and whether it affects teenagers’ unhealthy food intake can help us understand their eating habits in the digital age. “Mukbang”, a Korean neologism, has gained prominence and immense popularity on video platforms. Mukbang is a type of online visual broadcast where creators or hosts consume various types of food while interacting with the audience on multiple online streaming platforms [17,18,19]. Another Korean neologism, “Cookbang,” meaning “cooking broadcast” or “broadcast of cooking and eating [20]” is also gaining popularity among adolescents. Video creators produce content that involves not only eating food or trying new food items, but also introducing various dishes and sharing recipes. Mukbangs and Cookbangs (eating shows) differ from cooking education programs or food advertisements in that their primary objective is to captivate viewers' interests. Eating shows showcase large quantities food consumption or displaying unhealthy food intake [21], potentially tempting viewers to overeat or adopt similar behavior [22]. This frequent exposure to unhealthy eating behaviors can distort negative eating behaviors as normal eating habits. Moreover, adolescents' unhealthy eating behaviors may have an impact on their health later in life and even during adulthood.
Recent research on the dietary habits of adolescents emphasizes the importance of healthy eating habits [23] and primarily investigates the relationship between habits such as the consumption of fast food, SSBs and high caffeinated beverages [24,25,26,27] and individual health. However, there is a lack of research on videos focused on consuming food for entertainment purposes and unhealthy food intake among adolescents. Therefore, this study examined the relationship between adolescents’ exposure to eating shows and their consumption of fast food, SSBs, and high caffeinated beverages.
Methods
This is cross-sectional study that examines the relationship between the consumption of fast food, SSBs, and high-caffeine drinks and exposure to eating shows among Korean adolescents. This study was approved by the institutional review board of the Korea Disease Control and Prevention Agency (KDCA).
Data
The data used in this study were obtained from the 18th Korea Youth Risk Behavior Survey (KYRBS) [28] conducted from August to October 2022 among Korean youth aged 12 to 18 in Korea. The survey was prepared with consideration for reliability and validity and reviewed by experts from the KDCA, and the Ministry of Education and the Ministry of Health and Welfare. The questionnaire comprised 114 questions on behaviors including smoking, drinking, and physical activity [29]. The survey was individually conducted using computers and mobile devices supervised by trained teachers and students provided their own answers. Students with long-term absences or who could not participate themselves, such as special education students or those with reading disabilities, were excluded. To maintain the representativeness of Korean youth, the survey drew samples from all regions of the country and school types in Korea with the supervision of the KDCA. A total of 400 middle schools and 400 high schools were selected. The sample schools were selected using permanent random sampling within each stratum. Then, one classroom per grade level was randomly chosen. All students in the chosen classrooms were surveyed [30].
Study population
The study population comprised 56,213 students. The response rate of the surveyed students was 92.2%, resulting in the exclusion of 4,363 nonparticipants. Non-participation was primarily due to the additional workload on the teachers responsible for the survey and limited access to computers or mobile devices for evaluation. The final participant group initially included 51,850 students and was sampled to represent the youth population in South Korea. In our study, after removing data from 1,399 students with missing information, the final dataset comprised 50,451 students, covering 97.3% of Korean youth.
Variables
In the current study, we investigated whether adolescents’ exposure to eating shows affects their unhealthy eating habits. The participants answered questions about how often they watched eating shows over the past 12 months. The response options were “I don’t watch at all”, “less than once a month”, “1 to 3 times a month”, “1 to 2 times a week”, “3 to 4 times a week”, “5 to 6 times a week” and “every day.” We classified them into the high (viewed more than once a week) and low group (viewed less than 3 times a month and none) based on the frequency of watching eating shows. Thereafter, for further analysis, the groups were divided into those who did not watch eating shows within seven continuous days, those who watched it less than twice a week, those who watched it three to six times a week, and those who watched it every day [31, 32].
Unhealthy food consumption was measured by assessing the frequency of fast food, SSBs, and high caffeinated beverage consumption. The participants were asked about their fast-food intake in the past seven days, and those who reported “once a week or more” were categorized as fast-food consumers. Similarly, SSBs (excluding zero sugar) and high caffeinated beverages consumption was determined based on the frequency of intake, with participants who responded “once a week or more” considered SSBs and high caffeinated beverages consumers.
The following independent variables were included in the analysis sociodemographic factors, age (7–9 grade: middle school, 10–12 grade: high school), region (urban, suburban, or rural), household economic level (high, middle, or low), school performance(high, middle, or low), and living type (with parents or others). Health-related factors included smoking status(yes or no), current alcohol use (yes or no), physical activity(none, 1– 3 days, 4– 6 days, or 7 days), stress level awareness(high, middle, or low), and body mass index(obesity, overweight, normal, or underweight by BMI levels). All variables were based on self-reported data.
Statistical analysis
A descriptive analysis was conducted using the chi-square test to examine the distribution of general characteristics within the study population. After accounting for potential confounding variables, multiple logistic regression analyses were performed to explore the association between eating show exposure and the frequency of unhealthy food consumption among Korean adolescents. Owing to the differences in physical conditions between male and female students, all analyses were stratified by sex [33]. Subgroup analyses were performed to investigate the combined effects of each covariate on the risk of unhealthy food consumption and eating show exposure. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to compare the data of participants who consumed unhealthy foods. The variables were clustered, stratified, and weighted to accommodate the small number of participants retained in the final analysis. All analyses were performed using SAS software (version 9.4; SAS Institute, Cary, NC, USA), and results were considered statistically significant p-values < 0.05.
Results
Table 1 shows the general characteristics of the study population. Of the 50,451 participants, 25,747 were male students and 24,704 were female students. In the past seven days, 37.3% (n = 9,614) of male students and 48.2% (n = 11,897) of female students watched eating shows more than one time in a week. The consumption proportion of fast food, SSBs, and high caffeinated beverages by sex showed a similar distribution.
Table 2 presents the association between eating show exposure and unhealthy food consumption. For both male and female students, high eating show exposure was strongly associated with the consumption of fast food (male students: OR:1.37, 95% CI:1.23–1.49; female students: OR:1.46, 95% CI:1.36–1.57), SSBs (male students: OR:1.42, 95% CI:1.26–1.60; female students: OR:1.51, 95% CI:1.35–1.70), and high caffeinated beverages (male students: OR:1.30, 95% CI:1.23–1.37; female students: OR:1.24, 95% CI:1.18–1.31). Excluding fast food consumption among male students, those who do not live with their parents exhibited higher ORs of consuming unhealthy food within a week compared to students living with their parents. However, these differences were not statistically significant.
Table 3 shows the relationship between exposure to eating shows more than once a week and unhealthy food consumption. Both male and female students in grades 7–9 were observed to be at a higher risk of consuming unhealthy food. Moreover, even for students who live with their parents, those excessively exposed to eating shows had a higher likelihood of consumption of fast food (male students: OR:1.39, 95% CI:1.27–1.51; female students: OR:1.46, 95% CI:1.36–1.58), SSBs (male students: OR:1.44, 95% CI:1.27–1.62; female students: OR:1.52, 95% CI:1.34–1.70), and high caffeinated beverages (male students: OR:1.30, 95% CI:1.22–1.37; female students: OR:1.25, 95% CI:1.19–1.32) compared to those who had low exposure.
Figure 1 presents the subgroup analysis results stratified by unhealthy food consumption. It was noted that when both male and female students watched eating shows, the odds ratio for the frequency of fast food consumption increased (male students: OR: 1.78, 95% CI: 1.46–2.18; female students: OR: 2.09, 95% CI: 1.63–2.68). This trend was also consistent with SSB intake (male students: OR: 1.69, 95% CI: 1.47–1.94; female students: OR: 1.84, 95% CI: 1.60–2.12). However, those who watched eating shows were most likely to consume high caffeinated beverages three to six times per week compared to those who did not watch eating shows (male students: OR: 1.44, 95% CI: 1.28–1.61; female students: OR: 1.46, 95% CI: 1.28–1.65).
Table 4 shows the association between unhealthy food consumption and each component of eating show exposure. As the frequency of eating show exposure increased among both male and female students, the odds of eating unhealthy food increased compared to students who did not watch eating shows at all in the past seven days. However, male students’ consumption of fast food and SSBs, and female students’ consumption of SSBs showed the lowest odds ratio when watching eating shows every day.
Discussion
The study found that adolescents who watched eating shows which focused on consuming food for entertainment purposes within a week after adjusting for potential covariates, had a higher risk of eating unhealthy food than those who did not.
Previous studies have emphasized the importance of environmental changes [34] and appropriate interventions by parents [35,36,37] and schools [38] to improve the dietary habits of adolescents, who are highly influenced by their surroundings. This education aimed to teach food literacy among adolescents and encourage them to read and understand food labels [39], cook healthy snacks [40], and adopt habits such as consuming vegetables and fruits [41], which are crucial for a healthy diet. However, our findings indicate that students surrounded by constant digital advancements require a different approach to overcoming unhealthy eating habits.
In our study, students living with their parents who watched eating shows were found to have a higher likelihood of having unhealthy food than those who did not watch eating shows. This finding is supported by previous studies which showed that even with parental involvement, those who watched food eating content on television [42], social networking apps, or other sites were more likely to consume the foods that the influencers were advertising [43] or the unhealthy foods that they saw [44, 45], than those who were not exposed. These findings suggest that the content of videos consumed by students, even those living with their parents, can influence their eating habits. Interestingly, when adolescents are exposed to and understand information about healthy foods such as vegetables or fruits, and perceive them favorably, they respond positively to healthy products [46, 47]. These results underscore the significance of the content adolescents consume, suggesting directions to promote healthy eating habits among them.
In both male and female students in grades 7–9, those who watched an eating show more than once a week had a higher risk of eating unhealthy food compared to those who rarely watched an eating show. In previous studies, it was found that students in lower grades are influenced by their friends' food consumption and are also influenced by their friends' opinions on their own food consumption [48]. Furthermore, although cognitive abilities regarding food are crucial factors in food choices [49], during this period, food literacy tends to be lower compared to other times [50]. This suggests that the influence of eating shows may depend on students' educational levels and socialization.
Interestingly, despite female students generally being more sensitive about their body image and paying more attention to others' perceptions [51], female students who watched eating shows did not exhibit a different risk of consuming unhealthy food compared to male students. This is consistent with previous research examining media exposure and food consumption by sex [52, 53], indicating that both female and male students can be influenced in their dietary habits by eating show exposure. Therefore, there is a continued need for ongoing attention to the exposure of adolescents to eating show. For students who are in the process of developing healthy eating habits, interventions such as inserting warning messages before the start of eating show or ensuring accurate dissemination of information about the food being consumed are required, along with policy interest in addressing these concerns [54, 55].
This study’s findings underscore the importance of investigating adolescent exposure to eating shows and unhealthy food consumption. However, it is essential to acknowledge several study limitations. First, this study relied on a cross-sectional design, which means that it could only identify associations between variables and could not establish causal relationships. Further research employing longitudinal or experimental designs is thus necessary to confirm causality. Second, exposure to eating shows and unhealthy food consumption were assessed through self-reports. Therefore, there were limitations in measuring the types and content of eating show content participants watched, as well as their exact screen times. Additionally, we were unable to measure participants' exact intake amounts of fast food, SSBs, and high caffeinated beverages. Depending on the participants’ recollection and willingness to report accurately, response biases and inaccuracies may have influenced the results. Future studies should thus incorporate more objective measures or complementary data sources to enhance the validity of the assessments.
Despite these limitations, this study had several strengths. First, it employed a well-structured analysis stratifying exposure to eating shows and unhealthy food consumption. This approach enhanced the quality of the data and makes it valuable for future research in this area. Second, the study benefited from a representative sample, which means that its findings offer insights into the broader situation of South Korean adolescents. These findings can be instrumental in shaping more effective public health policies and interventions to address issues related to media influence on adolescent eating habits.
Conclusion
This study examined the relationship between eating show as new media content of and unhealthy food consumption among adolescents. Students who watched eating shows more than once a week had a higher risk of eating unhealthy foods than those who did not watch them. These findings suggest that exposure to eating show, which primarily aim to entertain, can influence adolescents' food choices. Further research is needed to reveal the fundamental mechanisms behind the connection between eating habits by accurately measuring the food consumption and screen time adolescents watching food entertainment content.
Availability of data and materials
The datasets generated during and /or analyzed during the current study are available in the 18th Korea Youth Risk Behavior Survey (KYRBS) 2022 (https://www.kdca.go.kr/yhs/).
Abbreviations
- SSB:
-
Sugar-sweetened beverage
- KYRBS:
-
Korea Youth Risk Behavior Survey
- KCDC:
-
Korea Centers for Disease Control and Prevention
- OR:
-
Odds ratio
- CI:
-
Confidence interval
References
Coulson NS, Eiser C, Eiser JR. Nutrition education in the National Curriculum. Health Educ J. 1998;57:81–8.
Bugge AB. Lovin’ it? Food Cult Soc. 2011;14:71–89.
Askari Majabadi H, Solhi M, Montazeri A, Shojaeizadeh D, Nejat S, Khalajabadi Farahani F, Djazayeri A. Factors influencing fast-food consumption among adolescents in Tehran: a qualitative study. Iran Red Crescent Med J. 2016;18:e23890.
Bucher Della Torre S, Keller A, Laure Depeyre J, Kruseman M. Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality May influence conclusions. J Acad Nutr Dietetics. 2016;116:638–59.
Schwingshackl L, Schwedhelm C, Hoffmann G, Knüppel S, Iqbal K, Andriolo V, Bechthold A, Schlesinger S, Boeing H. Food groups and risk of hypertension: a systematic review and dose-response meta-analysis of prospective studies. Adv Nutr. 2017;8:793–803.
Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction. BMJ: Br Med J. 2015;351:h3576.
Adjibade M, Julia C, Allès B, Touvier M, Lemogne C, Srour B, Hercberg S, Galan P, Assmann KE, Kesse-Guyot E. Prospective association between ultra-processed food consumption and incident depressive symptoms in the French NutriNet-Santé cohort. BMC Med. 2019;17:78.
McCormick DP, Reyna L, Reifsnider E. Calories, caffeine and the onset of obesity in young children. Acad Pediatr. 2020;20:801–8.
Ryu S, Jang H, Oh H. Smartphone usage patterns and dietary risk factors in adolescents. J Nutr. 2022;152:2109–16.
Alblas MC, Mollen S, Fransen ML, van den Putte B. Watch what you watch: the effect of exposure to food-related television content on the accessibility of a hedonic eating goal. Appetite. 2019;134:204–11.
Kenney EL, Gortmaker SL. United States adolescents’ television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr. 2017;182:144–9.
Falbe J, Willett WC, Rosner B, Gortmaker SL, Sonneville KR, Field AE. Longitudinal relations of television, electronic games, and digital versatile discs with changes in diet in adolescents. Am J Clin Nutr. 2014;100:1173–81.
Liu S, Zhou W, Wang J, Chen B, He G, Jia Y. Association between mobile phone addiction index and sugar-sweetened food intake in medical college students stratified by sex from Shanghai, China. Nutrients. 2021;13:2256.
Odgers CL, Schueller SM, Ito M. Screen time, social media use, and adolescent development. Annual Rev Dev Psychol. 2020;2:485–502.
Hernández-Martín A, Martín-del-Pozo M, Iglesias-Rodríguez A. Pre-adolescents’ digital competences in the area of safety. Does frequency of social media use mean safer and more knowledgeable digital usage? Educ Inform Technol. 2021;26:1043–67.
Barth FD. Social media and adolescent development: hazards, pitfalls and opportunities for growth. Clin Soc Work J. 2015;43:201–8.
Kang E, Lee J, Kim KH, Yun YH. The popularity of eating broadcast: content analysis of mukbang YouTube videos, media coverage, and the health impact of mukbang on public. Health Inf J. 2020;26:2237–48.
Choe H. Eating together multimodally: collaborative eating in mukbang, a Korean livestream of eating. Lang Soc. 2019;48:171–208.
Harris M. I don’t like to eat alone’: inside the world of “mukbangs,” extreme-eating videos that are making YouTubers rich. In: Business Insider. 2020.
Yun S, Kang H, Lee H. Mukbang- and Cookbang-watching status and dietary life of university students who are not food and nutrition majors. Nutr Res Pract. 2020;14:276–85.
Yeon K. Health threats of new media trends: the links between frequent mukbang watching and overeating among adults. 2021.
von Ash T, Huynh R, Deng C, White MA. Associations between mukbang viewing and disordered eating behaviors. Int J Eat Disord. 2023;56:1188–98.
Lawrence M, Worsley T, editors. Public Health Nutrition: from principles to practice. 1st ed. Routledge; 2007. https://doiorg.publicaciones.saludcastillayleon.es/10.4324/9781003116929.
Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR, Ludwig DS. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005;365:36–42.
Chazelas E, Srour B, Desmetz E, Kesse-Guyot E, Julia C, Deschamps V, Druesne-Pecollo N, Galan P, Hercberg S, Latino-Martel P, et al. Sugary drink consumption and risk of cancer: results from NutriNet-Santé prospective cohort. BMJ. 2019;366:l2408.
Kim Y, Je Y. Prospective association of sugar-sweetened and artificially sweetened beverage intake with risk of hypertension. Arch Cardiovasc Dis. 2016;109:242–53.
Aljuraiban GS, Chan Q, Oude Griep LM, Brown IJ, Daviglus ML, Stamler J, Van Horn L, Elliott P, Frost GS. The impact of eating frequency and time of intake on nutrient quality and body mass index: the INTERMAP study, a population-based study. J Acad Nutr Dietetics. 2015;115:528–e536521.
Lee Y-S, Joo JH, Shin J, Nam CM, Park E-C. Association between smartphone overdependence and generalized anxiety disorder among Korean adolescents. J Affect Disord. 2023;321:108–13.
Park H, Lee HA, Park B, Shin Y, Jun S, Kim UJ, Kim Y, Park H, Oh K, Choi S, Kim Y. Development of in-depth questionnaire items related to dietary behaviors, physical activity, obesity, and weight control efforts for the Korea Youth Risk Behavior Survey. Public Health Wkly Rep. 2022;15:2853–72.
Park M, Kim D, Choi M, Shin J. Difference in Sugar-Sweetened Beverage Consumption before and during the COVID-19 pandemic among Korean adolescents. J Nutr. 2023;153:2147–53.
Manafi Anari F, Eghtesadi S. The relationship between watching Mukbang (Eating Show), eating behaviors, and Anthropometric Parameters in Iranian female students. J Res Health Sci. 2023;23:e00574.
Kim KH, Kang E, Yun YH. Public support for health taxes and media regulation of harmful products in South Korea. BMC Public Health. 2019;19:665.
Strahler J. Sex differences in orthorexic eating behaviors: a systematic review and meta-analytical integration. Nutrition 2019, 67–8:110534.
Davis B, Carpenter C. Proximity of fast-food restaurants to schools and adolescent obesity. Am J Public Health. 2009;99:505–10.
Atik D, Ozdamar Ertekin Z. Children’s perception of food and healthy eating: dynamics behind their food preferences. Int J Consumer Stud. 2013;37:59–65.
MacFarlane A, Crawford D, Worsley A. Associations between parental concern for adolescent weight and the home food environment and dietary intake. J Nutr Educ Behav. 2010;42:152–60.
Campbell KJ, Crawford DA, Salmon J, Carver A, Garnett SP, Baur LA. Associations between the home food environment and obesity-promoting eating behaviors in Adolescence. Obesity. 2007;15:719–30.
Neumark-Sztainer D, French SA, Hannan PJ, Story M, Fulkerson JA. School lunch and snacking patterns among high school students: associations with school food environment and policies. Int J Behav Nutr Phys Activity. 2005;2:14.
Kansal S, Raj A, Pedapanga N, Worsley A, Rathi N. Indian adolescents’ perceptions of packaged food and food labels – A qualitative inquiry. Appetite. 2023;180:106342.
Utter J, Denny S, Lucassen M, Dyson B. Adolescent cooking abilities and behaviors: associations with nutrition and emotional well-being. J Nutr Educ Behav. 2016;48:35–e4131.
Holt EM, Steffen LM, Moran A, Basu S, Steinberger J, Ross JA, Hong C-P, Sinaiko AR. Fruit and vegetable consumption and its relation to markers of inflammation and oxidative stress in adolescents. J Am Diet Assoc. 2009;109:414–21.
Kawai N, Guo Z, Nakata R. Watching a remote-video confederate eating facilitates perceived taste and consumption of food. Physiol Behav. 2021;238:113469.
Chapman K, Miller C, Pettigrew S, Quester P, Roberts M, Tarabashkina L. The effects of television and internet food advertising on parents and children. Public Health Nutr. 2013;16:2205–12.
Eisenberg ME, Larson NI, Gollust SE, Neumark-Sztainer D. What are we drinking? Beverages shown in adolescents’ favorite television shows. J Acad Nutr Dietetics. 2017;117:763–9.
Speers SE, Harris JL, Schwartz MB. Child and adolescent exposure to food and beverage brand appearances during prime-time television programming. Am J Prev Med. 2011;41:291–6.
Castonguay J, Messina N. YouTube influencers: a New Defense against Childhood obesity? J Food Prod Mark. 2022;28:211–27.
Freisling H, Haas K, Elmadfa I. Mass media nutrition information sources and associations with fruit and vegetable consumption among adolescents. Public Health Nutr. 2010;13:269–75.
Wouters EJ, Larsen JK, Kremers SP, Dagnelie PC, Geenen R. Peer influence on snacking behavior in adolescence. Appetite. 2010;55:11–7.
van der Horst K, Timperio A, Crawford D, Roberts R, Brug J, Oenema A. The school food environment: associations with adolescent soft drink and snack consumption. Am J Prev Med. 2008;35:217–23.
Ronto R, Ball L, Pendergast D, Harris ND. Food literacy at secondary schools in Australia. J Sch Health. 2016;86:823–31.
McCabe M, Ricciardelli L. Parent, peer, and media influences on body image and strategies to both increase and decrease body size among adolescent boys and girls. Adolescence. 2001;36:225–40.
Ghobadi S, Hassanzadeh-Rostami Z, Salehi-Marzijarani M, Bellissimo N, Brett NR, Totosy de Zepetnek JO, Faghih S. Association of eating while television viewing and overweight/obesity among children and adolescents: a systematic review and meta-analysis of observational studies. Obes Rev. 2018;19:313–20.
Lissner L, Lanfer A, Gwozdz W, Olafsdottir S, Eiben G, Moreno LA, Santaliestra-Pasías AM, Kovács É, Barba G, Loit H-M, et al. Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol. 2012;27:705–15.
VanEpps EM, Roberto CA. The influence of sugar-sweetened beverage warnings: a randomized trial of adolescents’ choices and beliefs. Am J Prev Med. 2016;51:664–72.
Vézina-Im L-A, Beaulieu D, Bélanger-Gravel A, Boucher D, Sirois C, Dugas M, Provencher V. Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: a systematic review. Public Health Nutr. 2017;20:2416–31.
Acknowledgements
We want to extend our appreciation to the Korea Centers for Disease Control and Prevention for generously supplying the comprehensive national survey data. Additionally, we wish to express our heartfelt gratitude to our fellow colleagues at Yonsei University’s Health Research Institute for their invaluable guidance in the preparation of this manuscript.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author information
Authors and Affiliations
Contributions
Joo MJ made substantial contributions to conception, design, analysis data and drafted the manuscript. Joo MJ, Kim DB, Ko JS, Lim JH, Park EC, Shin JY contributed to the discussion. All authors reviewed and edited drafts of the manuscript and approved the final version. Shin JY drafted the article or revised critically for important intellectual content. All authors approved the version to be published and take responsibility for the integrity of the data and the accuracy of the data analysis.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
We assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The Korea Youth Risk Behavior Web-based survey received the Korea Centers for Disease Control and Prevention (KCDC) IRB approval (2014-06EXP-02-P-A) in 2014. From 2015, the ethics approval for the KYRBS was waived by the KCDC IRB under the Bioethics & Safety Act and opened to the public for academic use. All participants signed an informed consent when they participated in the KYRBS.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Joo, M.J., Kim, D.B., Ko, J. et al. Association between watching eating shows and unhealthy food consumption in Korean adolescents. Nutr J 23, 58 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12937-024-00961-1
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12937-024-00961-1