Journal List > Nutr Res Pract > v.18(5) > 1516088432

Jang, Ko, Sim, Jeong, and Park: Mukbang media: correlations with the dietary behavior of children and adolescents in Korea

Abstract

BACKGROUND/OBJECTIVES

Mukbang, a trend originating in South Korea and gaining global popularity, could influence children’s food choices and eating habits. This study analyzed the correlation between Mukbang viewing time in children and adolescents, their meal consumption frequency, nutrition quotient (NQ), and frequency of food intake.

SUBJECTS/METHODS

From July to August 2022, this cross-sectional study investigated upper elementary students (ages 9–11 yrs) and adolescents (aged 12–18 yrs) using an online survey. The survey items included key demographic factors, Mukbang viewing frequency and duration, frequency of main meal consumption, commonly consumed foods, and the validated NQ, which was used to assess food intake quality. Multiple linear regression analysis was used to explore the link between Mukbang viewing and nutritional habits.

RESULTS

Weekly Mukbang viewing time was significantly correlated with eating habits after adjusting for gender, age, physical activity frequency past week, household income, and primary caregiver’s level of education. Increased Mukbang viewing time correlated with reduced frequency of breakfast (P for trend < 0.001) and dinner (P for trend = 0.012), while the frequency of eating out (P for trend < 0.001) and late-night snacking (P for trend = 0.008) increased. Higher Mukbang viewing time notably decreased scores in the moderation domain (P for trend < 0.001), in the practice domain (P for trend = 0.031), and overall NQ (P for trend < 0.001). It also significantly elevated intake of sweets (P for trend = 0.001), Korean-style street food, Western-style fast food, instant noodles, sweetened beverages, caffeinated beverages, and fruit and vegetable juices (P for trend < 0.001).

CONCLUSION

This study identifies a negative correlation between Mukbang viewing and eating habits among Korean children and adolescents. The results indicate the importance of incorporating children and adolescents’ media usage and environmental factors on dietary education and the development of policy programs.

INTRODUCTION

Adolescence is a time of rapid physical, mental, and social growth [1]. Eating habits formed during this period can have lifelong effects, and it is therefore important to adopt healthy dietary practices during this time. However, worldwide, many adolescents are developing unhealthy eating habits [23]. the consumption of ultra-processed foods rose in most countries, including South Korea, over the course of the coronavirus disease 2019 (COVID-19) pandemic [4]. According to the results of the 2021 National Health and Nutrition Survey, it was found that adolescents’ sugar intake from processed foods exceeded the World Health Organization's daily recommended sugar intake [5]. The 2022 Adolescent Health Behavior Survey showed an increase rise in skipping breakfast and consumption of fast food among adolescents, accompanied by a decline in fruit intake [6]. It is crucial for global public health to address the dietary habits of children and adolescents.
In adolescence, various lifestyle habits, including dietary patterns, are formed under the influence of family, friends, and the media environment [7]. Among them, children and adolescents are very vulnerable to exposure to the media environment. Even before the onset of the COVID-19 pandemic, adolescents were exposed to various forms of media, including the internet and social media platforms. However, the shift to remote learning during the pandemic significantly increased media usage and dependency [8]. The Korea Press Promotion Foundation reported that in 2022, internet usage among teenagers rose to approximately 8 h per day, marking a 1.8-fold increase from 2019. Notably, this surge in internet use was most pronounced among senior students in elementary schools [9]. While various media offers diverse information and can expand social networks, its excessive use is linked to decreased sleep quality, lower physical fitness, and poorer mental health in adolescents [10].
Most countries, including South Korea, lack regulations on internet or smartphone media. Studies have shown that YouTube, which is widely used by children, contains a large number of food advertisements in its child-targeted content, notably featuring advertisements for high-calorie, low-nutrition foods in content that is intended for audiences over 15 yrs old [11]. The impact of media on children and adolescents is under-researched, with a lack of related policies.
Platforms such as YouTube, Instagram, and TikTok, which are frequently used by children and adolescents, feature significant food content. In particular, online Mukbang, a phenomenon that began in South Korea, has become popular in numerous countries [12]. Mukbang, or broadcasted eating, offers vicarious satisfaction to viewers and a sense of companionship to solitary eaters, leading to social and emotional fulfillment [1314]. However, an analysis of online Mukbang content in Korea showed a frequent appearance of high-calorie fast food and food with excessive flavor [15]. To increase viewership, Mukbang often emphasizes the quantity of food eaten, along with its taste [15]. The 2016 youth media usage survey of the Korea Press Foundation found that among respondents who watched solo broadcasts in the previous week, 38.1% viewed Mukbang, ranking it as the second most popular video genre [16]. The 2019 survey showed that 87.4% of teenagers used online video platforms, and Mukbang and cookbang content ranked fourth in terms of viewership in the previous week, at 39.5% [17]. The popularity of Mukbang among children and adolescents and its potential impact on their eating habits indicate the need for further study in this area.
Existing study on the media environment has primarily focused on the relationship between screen time on TVs, computers, smartphones, food advertising, and children’s eating habits [18]. Most studies on Mukbang have been content analyses, with limited research devoted to addressing its relationship to children and adolescents’ eating habits. Among these, one study targeting adolescents found no significant impact of food content viewing time on scores on the nutrition quotient (NQ) [19], while another study indicated that higher frequencies of watching Mukbang and cookbang were associated with poorer dietary habits among adolescents [20]. This study investigated sociodemographic factors related to Mukbang viewing among children and adolescents across Korea to examine its association with their dietary habits. This study compared the frequency of meal consumption, the intake frequency of major food groups, and the NQ in relation to the frequency and duration of Mukbang viewing. The study hypothesized posited that increased Mukbang viewing correlates with higher rates of skipping breakfast, increased consumption of processed foods, and lower NQ scores.

SUBJECTS AND METHODS

This study analyzed data collected in a policy development project on processed foods consumed by children that was conducted by the Ministry of Food and Drug Safety in South Korea. The survey used was developed from qualitative research findings, probes, and pre-existing questionnaires. The target respondents were caregivers of upper elementary school children (ages 9–11 yrs) and middle to high school students (aged 12–18 yrs) who were registered with a survey company. Participants were evenly recruited nationwide, primarily from Gyeonggi·incheon (35.01%) and Seoul (22.53%) in South Korea. The participants were stratified by age group for recruitment. Household income and level of education of the primary caregivers of the participating children and adolescents were determined using the responses from a survey of the primary caregivers. Recruitment was conducted by contacting parents with children in the relevant age groups from the online panel of the survey company via email, and respondents were collected up to the designated quota for each age group (Fig. 1). The study did not have any exclusion criteria except for individuals with chronic diseases or specific dietary restrictions. The survey was conducted from July 2, 2022, to August 1, 2022. Each family was assigned a unique household ID to link the responses of the children to those of their primary caregivers, who completed their surveys separately. The overall participants were 375 upper elementary school children, 375 middle and high school adolescents, and 750 primary caregivers, totaling 1,500 individuals. The study protocol was approved by the Institutional Review Board of Hallym University (HIRB-2022-016-1-R-CR).
Fig. 1

Participant selection and recruitment process.

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Measures

Explanatory variables

In this study, the explanatory variables were the frequency of Mukbang viewing per week and the average duration of each Mukbang viewing session. The average weekly time spent watching Mukbang was calculated based on these variables. The frequency categories included “never watch,” “less than once a week,” ”1–2 days a week,” “3–4 days a week,” “4–5 days a week,” “5–6 days a week,” and “more than once a day.” For those who watched Mukbang, the average duration of each viewing session was classified as “less than 15 minutes,” “15 to less than 30 minutes,” “30 to less than 60 minutes,” “more than 60 minutes”. To calculate the weekly time spent watching Mukbang, the frequency was quantified (e.g., “less than once a week” as 1, “1–2 days a week” as 1.5, etc.), then multiplying by the average duration of each viewing session. Additionally, the weekly time spent watching Mukbang was divided into tertiles for comparative analysis.

Outcome variables (dietary and nutritional variables)

1. Nutrition quotient for children and adolescents (NQ-C, NQ-A)

The Adolescent Nutrition Quotient (NQ-A), which was developed by The Korean Nutrition Society and the Ministry of Food and Drug Safety, was used for adolescents aged 12–18 [2122]. For children aged 9–11 yrs (upper elementary students), the Nutrition Quotient for Children (NQ-C) was utilized [2223]. This tool has 20 items, divided into three domains: balance, moderation, and practice. The balance domain assesses the frequency of consumption of fruits, milk, beans or bean products, and fish. The moderation domain includes the consumption of cookies, sweet and fatty bread, processed drinks, ramen, caffeinated beverages, late-night meals, and street food. The practice domain investigates checking nutritional labels, the frequency of exercise, and handwashing before meals. Scores are calculated for each area using item-specific scores and weights provided by The Korean Nutrition Society, and the total NQ score is a comprehensive score reflecting all three domains [212223]. All scores are calculated out of 100. The higher the NQ score, the better the quality of meals and eating behavior.

2. Dietary habits and food intake frequency

To evaluate dietary behaviors, the regularity with which breakfast, lunch, dinner, snacks, and late-night meals were consumed over the preceding 7 days was surveyed using an 8-point scale, ranging from 0 to 7 times. Additionally, the frequency of having breakfast and dinner with the family over the previous week was assessed using a 5-point scale, with the options “almost never,” “1–2 times a week,” “3–4 times a week,” “5–6 times a week,” and “every day.” The recent monthly intake frequency of snacks commonly consumed by students was surveyed with options like “almost never eat,” “once a month,” “2–3 times a month,” “3–4 times a month,” “1–2 times a week,” “3–4 times a week,” “5–6 times a week,” “once a day,” and “more than twice a day.” The study collected data on sweet snacks (including cookies and biscuits), salty snacks (including potato chips), cereals (including cereal bars), chocolates, and candies (jellies) as snack types. Korean-style street food including tteokbokki, gimbap, dumplings, and other fried items were identified, as well as Western-style fast foods, such as hamburgers, pizza, chicken, and processed meat products. Beverages were categorized into Sweetened beverages, Caffeinated beverages, fruit and vegetable juices, and dairy milk or soy milk. Healthy snacks, such as fruits and nuts, were also measured. The frequency of consumption over the past month was converted to a weekly basis for analysis.

Statistical analysis

Descriptive statistics were used to present general characteristics and the proportions or averages of the outcome variables. Multiple linear regression was used to analyze factors related to watching Mukbang, adjusting for gender, age, education level of the primary caregiver, and household income, physical activity frequency past week. The sociodemographic variables collected included gender, age and physical activity frequency past week and socioeconomic status was evaluated using the education level of the primary caregiver and household income as covariates. All analyses were performed using Stata MP 17 (StataCorp LLC, College Station, TX, USA).

RESULTS

General characteristics of study participants

The participants in the study were 750 South Korean children and adolescents, including 375 upper elementary students (aged 9–11 yrs), 261 middle school students, and 114 high school students. To accurately assess household incomes and the level of education of the primary caregivers, 750 primary caregivers were surveyed. Only household income and final level of education of the primary caregivers were reported in the results (Table 1), as they were used as variables for statistical adjustment. The students’ average age was 12.8 yrs, and 51.3% of the sample was male. The average weekly frequency of viewing Mukbang was 1.9 times, and the average duration per viewing was 22.7 minutes. The average weekly time spent watching Mukbang was 43.1 minutes. Table 1 presents the general characteristics of the participants by gender. An analysis of differences between male and female students showed that boys had a significantly higher physical activity frequency past week (P = 0.008), weekly frequency of Mukbang viewing (P = 0.004), average viewing time per session (P = 0.017), weekly time spent watching Mukbang (P = 0.002), weekly frequency of breakfast (P = 0.025).
Table 1

General characteristics of participants by gender (n = 750)

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Variables Boys Girls Total P-value1)
Total 385 365 750
School level 0.094
Elementary school 201 (52.2) 174 (47.7) 375 (50.0)
Middle school 136 (35.3) 125 (34.3) 261 (34.8)
High school 48 (12.5) 66 (18.1) 114 (15.2)
Highest level of education of the primary caregiver 0.149
High school graduate or below 38 (9.9) 45 (12.3) 83 (11.1)
College graduate or above 302 (78.4) 264 (72.3) 556 (75.5)
Master’s degree or above 45 (11.7) 56 (15.3) 101 (13.5)
Pre-tax household income 0.809
Under 4 million won 65 (16.9) 58 (15.9) 123 (16.4)
4 million to under 6 million won 130 (33.8) 127 (34.8) 257 (34.3)
6 million to under 8 million won 108 (28.1) 94 (25.8) 202 (26.9)
8 million or more won 82 (21.3) 86 (23.6) 168 (22.4)
Physical activity frequency past week2) 0.001
None 91 (23.6) 128 (35.1) 219 (29.2)
1−2 day/wk 132 (34.3) 124 (34.0) 256 (34.1)
3−4 day/wk 99 (25.7) 80 (21.9) 179 (23.9)
5−7 day/wk 63 (16.4) 33 (9.0) 96 (12.8)
Regions 0.456
Seoul 83 (21.6) 86 (23.6) 169 (22.5)
Gyeonggi and Incheon 126 (32.7) 137 (37.5) 263 (35.1)
Chungcheong 42 (10.9) 32 (8.8) 74 (9.9)
Jeolla 34 (8.8) 22 (6.0) 56 (7.5)
Gyeongsang 88 (22.9) 77 (21.1) 165 (22.0)
Gangwon and Jeju 12 (3.1) 11 (3.0) 23 (3.1)
Weekly frequency of watching Mukbang 0.004
No viewing 187 (48.6) 137 (37.5) 324 (43.3)
Less than twice a week 149 (38.7) 159 (43.6) 308 (41.1)
More than three times a week 49 (12.7) 69 (18.9) 118 (15.7)
Mukbang viewing time per session 0.017
No viewing 187 (48.6) 138 (37.8) 325 (43.3)
Less than 15 min 66 (17.1) 90 (24.7) 156 (20.8)
15 min to less than 30 min 87 (22.60) 84 (23.0) 171 (22.8)
30 min to less than 60 min 37 (9.6) 47 (12.9) 84 (11.2)
More than 60 min 8 (2.1) 6 (1.6) 14 (1.9)
Weekly time spent watching Mukbang 0.002
No viewing 187 ± 47.6 138 ± 37.8 325 ± 43.3
T1 50 ± 13.0 65 ± 17.8 115 ± 15.3
T2 90 ± 23.4 77 ± 21.1 167 ± 22.3
T3 58 ± 15.1 85 ± 23.3 143 ± 19.1
Frequency of meals/wk
Frequency of breakfast meals 5.0 ± 2.6 4.6 ± 2.7 4.8 ± 2.6 0.025
Frequency of lunch meals 6.4 ± 1.5 6.4 ± 1.6 6.4 ± 1.5 0.546
Frequency of dinner meals 6.5 ± 1.5 6.3 ± 1.6 6.4 ± 1.6 0.227
Frequency of snack 7.2 ± 4.8 7.2 ± 4.8 7.2 ± 4.8 0.902
Late-night snacks 1.2 ± 1.6 1.2 ± 1.5 1.2 ± 1.6 0.973
Frequency of eating out 2.2 ± 2.1 2.1 ± 2.0 2.1 ± 2.0 0.629
Frequency family meals/wk
Breakfast 2.6 ± 2.8 2.3 ± 2.7 2.5 ± 2.7 0.216
Dinner 5.0 ± 2.2 4.8 ± 2.2 4.9 ± 2.2 0.190
Values are presented as number (%) or mean ± SD.
T1, tertile 1; T2, tertile 2; T3, tertile 3.
1)P-values were obtained using χ2 tests for categorical variables and t-tests for continuous variables.
2)Physical activity frequency past week: number of days in the past 7 days with 60 min or more of activities causing increased heart rate or breathlessness.

Correlation between weekly Mukbang viewing time and key meal-related behaviors

Table 2 displays the frequency of meal consumption in relation to weekly time spent watching Mukbang. Following adjustments for gender, age, physical activity frequency past week, educational level of primary caregiver, and household income, an increase in weekly time spent watching Mukbang was associated with a decrease in the frequency of breakfast (P for trend < 0.001) and dinner (P for trend = 0.012). An increase in late-night snacking (P for trend = 0.008) and eating out (P for trend < 0.001) was observed. There were no significant results regarding family meals in relation to weekly time spent watching Mukbang.
Table 2

Frequency of key meal-related behaviors by weekly time spent watching Mukbang (n = 750)

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Variables Tertiles of weekly time spent watching Mukbang (min/wk) P for trend1)
No viewing T1 (1–3.75) T2 (11.25−41.25) T3 (52.5−420)
Frequency of meals/wk
Frequency of breakfast 5.2 ± 0.1 4.8 ± 0.2 4.7 ± 0.2 4.1 ± 0.2 < 0.001
Frequency of lunch 6.5 ± 0.1 6.5 ± 0.1 6.3 ± 0.1 6.2 ± 0.1 0.101
Frequency of dinner 6.5 ± 0.1 6.6 ± 0.1 6.2 ± 0.1 6.1 ± 0.1 0.012
Frequency of snacking 7.5 ± 0.3 6.9 ± 0.4 6.9 ± 0.4 7.0 ± 0.4 0.481
Frequency of late-night snacking 1.0 ± 0.1 1.4 ± 0.1 1.2 ± 0.1 1.5 ± 0.1 0.008
Frequency of eating out 1.8 ± 0.1 1.9 ± 0.2 2.5 ± 0.2 2.6 ± 0.2 < 0.001
Frequency family meals/wk
Breakfast 2.6 ± 0.2 2.2 ± 0.3 2.4 ± 0.2 2.3 ± 0.2 0.379
Dinner 5.1 ± 0.1 4.7 ± 0.2 5.0 ± 0.2 4.7 ± 0.2 0.149
Values are presented as mean ± SD.
T1 (1–3.75), T2 (11.25–41.25), and T3 (52.5–420) represent the range of values for the first, second, and third tertiles, respectively.
T1, tertile 1; T2, tertile 2; T3, tertile 3.
1)P for trend was obtained using a multiple linear regression, adjusting for gender, age, physical activity frequency past week, the highest level of primary caregiver’s education, and household income. The trend analysis was performed across four groups (No viewing, T1, T2, and T3).

Correlation between weekly Mukbang viewing time and Nutrition Quotient scores

Table 3 shows the results for NQ scores by domain based on weekly time spent watching Mukbang. After adjustments, an increase in weekly time spent watching Mukbang was found to be significantly associated with lower scores in the moderation (P for trend < 0.001) and practice domains (P for trend = 0.031), but not in the balance domain (P for trend = 0.555). The total NQ score, which combines all three domains, was significantly lower in the group with higher Mukbang viewing (P for trend < 0.001).
Table 3

NQ index of participants by weekly time spent watching Mukbang (n = 750)

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Variables Tertiles of weekly time spent watching Mukbang (min/wk) P for trend1)
No viewing T1 (1–3.75) T2 (11.25−41.25) T3 (52.5−420)
Balance 39.5 ± 0.8 40.1 ± 1.3 38.3 ± 1.1 38.0 ± 1.2 0.555
Moderation 64.0 ± 0.7 60.0 ± 1.2 58.8 ± 1.0 54.3 ± 1.1 < 0.001
Practice 60.0 ± 1.2 56.6 ± 1.8 55.0 ± 1.5 52.6 ± 1.6 0.031
Total NQ score 57.4 ± 0.7 55.2 ± 1.2 53.9 ± 1.0 51.1 ± 1.1 < 0.001
Values are presented as mean ± SD.
T1 (1–3.75), T2 (11.25–41.25), and T3 (52.5–420) represent the range of values for the first, second, and third tertiles, respectively.
T1, tertile 1; T2, tertile 2; T3, tertile 3; NQ, nutrition quotient.
1)P for trend was obtained using a multiple linear regression, adjusting for gender, age, physical activity frequency past week, the highest level of primary caregiver’s education, and household income. The trend analysis was performed across four groups (No viewing, T1, T2, and T3).

Correlation between weekly Mukbang viewing time and specific food consumption frequency

Table 4 presents the results for the weekly frequency of food consumption in relation to weekly time spent watching Mukbang. After adjusting for gender, age, physical activity frequency past week, final educational level of primary caregivers, and household income, increased weekly time spent watching Mukbang was significantly associated with an increase in the consumption of sweets (P for trend = 0.001), Korean-style street food, Western-style fast food, instant noodles, sweetened beverages, caffeinated beverages, and fruit and vegetable juices (P for trend < 0.001). There were no significant differences in the consumption of milk, soy milk, fruits, nuts, and seeds in relation to the weekly time spent watching Mukbang.
Table 4

Weekly consumption frequency of specific food items among participants according to weekly Mukbang viewing frequency (n = 750)

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Variables Tertiles of weekly time spent watching Mukbang (min/wk) P for trend1)
No viewing T1 (1–3.75) T2 (11.25–41.25) T3 (52.5–420)
Cookies and sweets2) 8.0 ± 0.5 8.1 ± 0.8 8.2 ± 0.6 9.9 ± 0.7 0.120
Cookies 2.5 ± 0.2 2.2 ± 0.3 2.3 ± 0.2 2.7 ± 0.2 0.494
Chips 1.6 ± 0.1 1.8 ± 0.2 1.8 ± 0.2 1.9 ± 0.2 0.469
Sweets3) 2.4 ± 0.2 2.8 ± 0.3 2.7 ± 0.3 3.6 ± 0.3 0.001
Cereal 1.4 ± 0.1 1.3 ± 0.2 1.3 ± 0.2 1.6 ± 0.2 0.431
Ice cream 3.2 ± 0.2 3.1 ± 0.3 3.4 ± 0.3 3.7 ± 0.3 0.311
Korean-style street food4) 2.5 ± 0.2 3.2 ± 0.3 3.9 ± 0.3 4.3 ± 0.3 < 0.001
Western fast food5) 2.3 ± 0.2 3.0 ± 0.3 3.9 ± 0.3 4.5 ± 0.3 < 0.001
Instant noodles6) 1.4 ± 0.1 1.7 ± 0.2 1.8 ± 0.1 2.1 ± 0.1 < 0.001
Sweetened beverages7) 3.9 ± 0.3 4.8 ± 0.6 6.9 ± 0.5 7.0 ± 0.5 < 0.001
Caffeinated beverages 0.2 ± 0.1 0.3 ± 0.1 1.5 ± 0.2 1.8 ± 0.2 < 0.001
Fruit and vegetable juices 0.8 ± 0.1 0.9 ± 0.2 1.5 ± 0.2 1.8 ± 0.2 < 0.001
Milk, soy milk 5.9 ± 0.3 4.9 ± 0.5 5.6 ± 0.4 5.2 ± 0.5 0.374
Fruits 3.5 ± 0.2 3.1 ± 0.3 3.2 ± 0.3 3.1 ± 0.3 0.628
Nuts and seeds 0.6 ± 0.1 0.7 ± 0.1 0.9 ± 0.1 0.7 ± 0.1 0.426
Values are presented as mean ± SD.
T1 (1–3.75), T2 (11.25–41.25), and T3 (52.5–420) represent the range of values for the first, second, and third tertiles, respectively.
T1, tertile 1; T2, tertile 2; T3, tertile 3.
1)P for trend was obtained using a multiple linear regression, adjusting for gender, age, physical activity frequency past week, the highest level of primary caregiver’s education, and household income. The trend analysis was performed across four groups (No viewing, T1, T2, and T3).
2)Cookies and sweets: cookies, chips, cereal, candy, chocolate.
3)Sweets: candy, chocolate.
4)Korean-style street food: tteokbokki, gimbap, mandu, fried foods.
5)Western fast food: hamburgers, pizza, fried chicken, sausages.
6)Instant noodles: packaged ramen, cup noodles.
7)Sweetened beverages: flavored milk, carbonated beverages, fruit-flavored drinks, other beverages (sports drinks, etc.).

DISCUSSION

This cross-sectional study of children and adolescents, after adjustment for sociodemographic characteristics, analyzed the correlation between weekly Mukbang viewing time and eating habits, meal frequency, and food intake frequency. Most participants, 56.7%, watched Mukbang, with an average of 1.9 viewings per week and an average duration of 22.7 minutes per viewing. The average weekly viewing time was 43.1 minutes. By comparison, a study in Iran on adult women aged 18–31 showed a 60.5% rate of Mukbang viewing [24], while another study in Korea found an average daily viewing time of food-related content among teenagers with an average age of 15.6 yrs was 47.3 minutes [19]. These findings suggest that the viewing rate and time in our study were lower than those found in other studies, possibly due to the younger average age of 12.8 yrs in our participants, indicating a trend of increased Mukbang viewing with age.
Due to the global interest in Mukbang, more influencers are creating content on this theme [12]. Interest in Mukbang spans age groups. A 2020 survey of Korean children aged 3–9 showed that 11.0% watched Mukbang or cooking videos in the previous week [17]. A report on Seoul’s food statistics indicated that 34.6% of viewers watched Mukbang programs [25]. These trends require deeper and more active research into the impact of Mukbang on eating habits and health.
As the weekly time spent watching Mukbang increases, a greater tendency is seen for children and adolescents to skip breakfast and dinner and consume more snacks at night. Increased viewing time, leading to a decrease in the frequency of breakfast and dinner and an increase in late-night snacking suggests a decline in the regularity of meals, as the timing of the first and last meals of the day is delayed. Meal frequency and timing are associated with various health outcomes and lifestyle habits; irregular eating habits can negatively impact health in children and adolescents [26]. In particular, skipping meals can increase the risk of obesity in children [27] and is associated with the inadequate intake of fruits, vegetables, and milk and dairy products, as well as excessive consumption of fats and sodium. Skipping dinner is linked to lower fruit consumption [28]. Breakfast plays an important role in health in children and adolescents; skipping it not only increases the risk of overweight and obesity but is also associated with unhealthy dietary habits [29]. Skipping breakfast is linked to metabolic factors in adolescents’ hearts [30] and can affect academic performance [31]. Late-night snacking is expected to negatively impact lifestyle habits due to delayed bedtimes. Studies have shown that late-night snacking is associated with skipping breakfast and in increased body mass index (BMI) in physically inactive children [32]. Further, increased screen time can lead to more snacking in the evening and can degrade the quality of adolescents’ dietary habits [33]. Lower sleep duration and late bedtimes are associated with late dinner times [34]. Regularity in meals is crucial for children and adolescents in their growth phase, indicating the need for the proper management of their eating habits.
As the weekly time spent watching Mukbang increases the frequency of eating out increases. In the group that did not watch Mukbang, the average number of meals eaten out per week was 1.8, whereas in the group that watched it the most, this number rose to 2.7. A study in China of children aged 6–17 yrs found a significant influence of eating out more than three times a week on increased overweight and obesity among boys [35]. Furthermore, higher frequenciees of eating out are associated with increased intakes of energy, total fat, saturated fat, sugar, and sodium and decreased intakes of fiber, dairy products, fruits, vegetables, and micronutrients, leading to declines in diet quality [36]. Additionally, research among adults has shown that frequent dining out is significantly associated with an increased risk of mortality from all causes [37].
With increased time spent watching Mukbang, a decrease was seen in the scores for moderation, practice, and the overall NQ. Lower scores in the moderation domain indicate a generally poor level of consuming unhealthy foods, highlighting the need for improvement. Likewise, lower scores in the practice domain suggest inadequate levels of the practice of healthy and safe eating behaviors, necessitating improvement. The NQ score, which reflects the balance, moderation, and practice domains, indicates that lower scores correspond to an overall poor dietary lifestyle requiring enhancement. Therefore, longer weekly Mukbang viewing times suggest poorer overall dietary habits among children and adolescents. A study of nutrition index development and validation for school-age children found an average NQ score of 65.7, with balance at 66.4, moderation at 55.4, and practice at 69.2 [23]. A study using the revised adolescent nutrition index reported an average NQ score of 51.5, with balance at 41.4, moderation at 56.0, and practice at 53.0 [23]. In our study, which investigated both children and adolescents, the average NQ score for the group that watched Mukbang for the longest was 51.3, with balance at 38.4, moderation at 54.3, and practice at 51.3. This score is lower than that of other studies, indicating a poorer dietary lifestyle in the group that watched Mukbang more frequently.
With increasing times spent watching Mukbang, a significant increase was seen in the intake of ultra-processed foods such as sweets, instant noodles, sweetened beverages, caffeinated beverages, and fruit and vegetable juices. Generally, ultra-processed foods are high in energy density and contain high levels of sodium, sugars, trans fats, and saturated fats, often using food additives and flavorings to enhance taste and preservation while being low in vitamins, minerals, and dietary fiber [3839]. Increased consumption of ultra-processed food is associated with higher energy and free sugar intake and decreased fiber intake [40]. Studies of children and adolescents show that higher intake of ultra-processed foods is linked to a lower-quality diet [414243]. For children and adolescents, who are at crucial stages of growth and development, it is vital to consume nutritionally rich natural foods. Our study, even after related confounders were adjusted for, found a correlation between Mukbang viewing by children and adolescents and their consumption of processed foods, suggesting that Mukbang content could potentially influence dietary habits.
As the weekly time spent watching Mukbang increased, the frequency of consumption of Korean-style street food and Western-style fast food also increased. The foods featured in online Mukbang content are mostly processed or delivery foods, predominantly consisting of snack foods (Korean-style street food) and fast food [15]. Mukbang scenes often depict the consumption of large quantities of a single type of food, emphasizing its stimulating flavors [15]. Therefore, Mukbang exposes imbalanced dietary habits, which could negatively impact the formation of eating habits in children and adolescents.
By contrast, the intake of relatively healthier food groups, such as fruits, dairy milk and soy milk, and nuts and seeds showed no significant difference in relation to weekly Mukbang viewing. This aligns with the results indicating no correlation between Mukbang viewing time and the balance domain score of the NQ index. This could be because children and adolescents’ overall dietary habits are generally poor, thus showing no significant difference in this area based on Mukbang viewership. Globally, a trend has been seen of infrequent consumption of fruits and vegetables among adolescents [44]. Furthermore, according to the 2022 Adolescent Health Behavior Survey, the daily consumption rate for fruits and milk has further declined [6].
Food content has some advantages. Cookbang (cooking videos) and recipe videos, which showcase the cooking process, can enhance the understanding of and interest in cooking through cooking tutorials, providing opportunities for practical cooking experiences. Studies indicate that individuals who watch cookbang videos tend to develop improved dietary habits, whereas those who watch Mukbang often report a worsening in their eating patterns [45]. Mukbang content, often showcasing appetizing and stimulating foods, can negatively impact dietary habits and health. Notably, reports show that students tend to prefer Mukbang over cookbang [46]. A growing presence of food and Mukbang-related content has been seen on various platforms. With algorithms on TikTok, YouTube Shorts, and Reels making it easier to encounter such videos, it is crucial to regulate Mukbang content. However, even when exposed to such videos, children’s individual capabilities of making independent judgments must be strengthened. Enhancing the ability of children and adolescents to make informed decisions is important, and this necessitates media literacy and nutrition education related to food. Taking into account the significant amount of time that children and adolescents spend exposed to media each day, there is a need for policies that involve the creation and distribution of educational content, such as cooking tutorials, which can positively influence their dietary habits and health.
Our study has several strengths. First, Mukbang is currently a prominent phenomenon in media culture, and this study is the first to examine associations between Mukbang viewership and actual food consumption frequency among children and adolescents. It covers a range of ages, offering insights into behaviors in various age groups and providing valuable information for the exploration of effective directions for policy and educational interventions. However, it has some limitations. As a cross-sectional study, it cannot establish a causal relationship between Mukbang viewing time, meal frequency, the NQ index, and food consumption frequency. Additionally, it may be challenging to apply the findings to populations other than upper elementary and high school students. Finally, there may be confounding factors that are not considered in this study that could influence the results.
In this study, it was found that Mukbang viewership among Korean children is significantly associated with breakfast skipping, dinner skipping, nighttime snacking frequency, eating out frequency, quality of dietary habits, and frequency of unhealthy food consumption. Taking these effects into consideration, the development and implementation of programs in media literacy education and nutrition education for children are crucial for promoting healthy media habits. It is expected that the findings of this study will serve as foundational information for future efforts to encourage proper media consumption related to food among children and adolescents.

ACKNOWLEDGMENTS

The authors would like to acknowledge the study participants.

Notes

Funding: This research was conducted with research and development (R&D) funding from the Ministry of Food and Drug Safety in 2022 (22192식품위028). Sohyun Park and Eunjin Jang’s effort was partly supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2021R1I1A3060248 and 2021R1A6A1A03044501). The content is solely the responsibilities of the authors and does not necessarily represent the official views of the funders.

Conflict of Interest: The authors declare no potential conflicts of interests.

Author Contributions:

  • Conceptualization: Jang E, Ko E, Sim J, Jeong M, Park S.

  • Formal analysis: Jang E, Park S.

  • Investigation: Jang E, Park S.

  • Methodology: Jang E, Park S.

  • Supervision: Park S.

  • Writing - original draft: Jang E, Park S.

  • Writing - review & editing: Jang E, Ko E, Sim J, Jeong M, Park S.

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