Consumption of sugar-sweetened beverages and fast foods deteriorates adolescents' mental health

Introduction

Adolescence is considered a significant period for establishing independent diet patterns from parents that last for a lifetime (1). Adolescents in high school spend the day at school, where they might be prone to consuming sugar-sweetened beverages (SSBs, e.g., soda, fruit-flavored drinks, sports drinks) and fast foods (e.g., hamburgers, pizza) via cafeterias and vending machines (2). In addition, high school students tend to eat at fast-food restaurants with their friends as a convenient place to spend their leisure time (3). Studies have reported that 63% of adolescents in the USA consumed SSBs at least once a day, while approximately 94% of Korean high school students consumed SSBs at least once a week, and approximately 40% of them consumed SSBs more than once a day (4, 5). In addition, according to a global school-based survey, adolescents consumed fast foods an average of 1.05 times a week (6). Based on national data in 2019, 82.5% of Korean adolescents consumed fast foods more than once a week (7). Thus, frequent SSB and fast-food consumption is a widespread diet pattern among adolescents (2, 8).

Regarding physical health, frequent SSB and fast-food consumption was significantly associated with developing obesity and metabolic syndromes, such as type 2 diabetes and dyslipidemia (9–11). In addition, SSB and fast-food consumption were associated with adolescents' poor mental health, including stress, depression, and suicidality (12–15). Adolescence is a developmental period with more mental health problems than in other developmental periods. Thus, dietary behaviors that are potentially associated with mental health are important in preventing mental health problems in adolescents (12, 16). Moreover, Korean high school students may have poor mental health with decreased resilience against stressors due to increased academic competition and a social climate that demands higher academic performance (17). In this context, reducing the consumption of SSBs and fast foods as unhealthy diet behaviors may be important for improving Korean adolescents' mental health. However, in a previous study of adolescents from 32 countries, the significance of the association between SSB and fast-food consumption and mental health varied (13). Liu et al. (18) proposed that the inconsistent findings were associated with ethnicity and the definitions of consumption of diet and mental health. Thus, the association between SSB and fast-food consumption and mental health should be evaluated in Korean adolescents.

Furthermore, SSB and fast-food consumption might form clustered diet patterns with significant positive associations in adolescent high school students (2, 19). According to Kang et al. (20), combining lifestyle behaviors may present neutralized or synergistic effects on health. Thus, the combined consumption of SSBs and fast foods may have more negative effects on mental health with synergetic effects than the sum of their independent consumption. Thus, hypothesis of this study was that combined consumption of SSBs and fast foods would have more negative effects on mental health of adolescent high school students than their independent consumption. However, considering the multi-dimensional effects of covariates, identifying the effects of the combined consumption of SSBs and fast foods on mental health in adolescents was limited. Nevertheless, the significance of their effects on mental health differed according to controlled covariates in adolescents (21, 22).

According to the biopsychosocial model proposed by Engel (23), individuals' health was influenced by biological (e.g., age, sex), social (e.g., socioeconomic status of the family), and psychological factors (e.g., mood, health behaviors). The biopsychosocial model is an appropriate framework for understanding the interactive influence of these three factors on individual health. It encourages a comprehensive understanding of individuals' unique characteristics associated with their health statuses (23, 24). In the literature review, as covariates, associated factors of adolescents' mental health were: sex (25) and sleep satisfaction (25) in biological factors; grade (25), academic achievement (25), living with family members (25), family's socioeconomic status (25), type of school (25), and area of residential location in social factors (25); and perceived health status (26), perceived body shape (27), skipping breakfast (28), screen-based sedentary time (29), moderate and vigorous physical activity (30), current smoking consumption (25), current alcohol consumption (25), the experience of sexual intercourse (31), and experience of substance use (25) in psychological factors. Thus, this study aimed to identify the effects of combining the consumption of SSBs and fast foods on mental health, including stress, depressive symptoms, and suicidal ideation of Korean high school students, who participated in the 17th Korea Youth Risk Behavior Web-based Survey (KYRBS), after controlling for covariates.

Materials and methods

2.1 Research design and sample

Using a cross-sectional study design, secondary data analysis was performed on the data obtained from the 17^th KYRBS, 2021, a national survey of middle and high school students. A total of 59,426 students were recruited from 800 schools across 17 provinces of South Korea, and 54,848 adolescents (92.9%) participated in the survey. As inclusion criteria of the sample, high school students who answered questions regarding outcome, independent variables, and covariates were included Thus, data from 24,006 high school students who answered questions on mental health (stress, depressive symptoms, and suicidal ideation); SSB and fast-food consumption; and covariates (biological, social, and psychosocial factors potentially associated with mental health) were analyzed in this study.

2.2 Measurements

2.2.1 Outcome variables

2.2.1.1 Stress

Stress was evaluated with a single item assessing participants' usual experience of stress levels. The response was classified into “with stress” (including not so much, a little, often, and very often) and “without stress” (including not at all).

2.2.1.2 Depressive symptoms

Depressive symptoms were evaluated with a single item assessing participants' experience of a sense of sadness or hopelessness in the last 12 months. The response was classified into “with depressive symptoms” or “without depressive symptoms.”

2.2.1.3 Suicidal ideation

Suicidal ideation was evaluated with a single item assessing whether participants seriously considered suicide within the last 12 months. The response was classified into “with suicidal ideation” or “without suicidal ideation.”

2.2.2 Independent variables

2.2.2.1 SSB consumption

SSB consumption was assessed using two items evaluating daily consumption of soda and other sweetened drinks in the last seven days. According to the response scale, the frequency of SSB consumption was converted into times per week (e.g., 3–4 times a week = 3.5 times a week, once daily = 7 times a week) for each soda and other sweetened drinks, respectively. Thereafter, the frequency of SSB consumption was calculated by adding the converted values (times per week) for each soda and other sweetened drinks. Finally, the frequency of SSB consumption was classified into three quartile groups (first quartile (Q1) = low consumption, second quartile (Q2) = medium consumption, third quartile (Q3) = high consumption).

2.2.2.2 Fast-food consumption

Fast-food consumption was assessed using a single item assessing participants' daily consumption of fast foods in the last seven days. According to the response scale, the frequency of fast-food consumption was converted into times per week (e.g., 3–4 times a week = 3.5 times a week, once daily = 7 times a week). Finally, the frequency of fast-food consumption was classified into three quartile groups (first quartile (Q1) = low consumption, second quartile (Q2) = medium consumption, third quartile (Q3) = high consumption).

2.2.3 Covariates

The questions used to assess biological, social, and psychological factors of covariates and their responses are given in Table 1.

TABLE 1

Table 1. Measurement of covariates.

2.3 Ethical considerations

Since a secondary data analysis was conducted using the 17^th KYRBS, 2021, this study was exempted from the Institutional Review Board's (IRB) review (Approval no. 202209-SB-121-01).

2.4 Statistical analysis

Following the guidelines proposed by the 17^th KYRBS, 2021, a complex sampling analysis was performed using SPSS, version 26.0 (IBM, Armonk, NY, USA). As a first step of the complex sampling analysis, an analysis plan file was created with adjusting strata, clustering, and weight of samples. Then, descriptive and logistic analysis in the complex sampling analysis was conducted with the analysis plane file. The descriptive statistics were applied to analyze the prevalence (frequency and percentage) of stress, depressive symptoms, suicidal ideation, SSB and fast-food consumption, and covariates. To identify the effects of combining consumption of SSBs and fast foods on stress, depressive symptoms, and suicidal ideation, the logistic regression analysis in the complex analysis was applied.

Results

3.1 Prevalence of stress, depressive symptoms, suicidal ideation, and SSB and fast-food consumption

Of the participants, 82.5% reported that they had experienced stress, while 27.4% had experienced depressive symptoms (sense of sadness or hopelessness) in the last 12 months. Moreover, 11.9% reported having suicidal ideation during the last 12 months (Table 2).

TABLE 2

Table 2. Prevalence of stress, depressive symptoms, suicidal ideation, and sugar-sweetened beverage and fast-food consumption (N = 24,006).

When the level of SSB and fast-food consumption was independently classified into Q1 (low)–Q3 (high), 37.1, 41.1, and 21.8% of participants fell into Q1, Q2, and Q3, respectively. In addition, 71.8, 22.3, and 5.9% of participants fell into Q1, Q2, and Q3, respectively (Table 2).

Regarding combining SSB and fast-food consumption, 31.5% of the participants were in Q1 of SSB and fast-food consumption. In addition, 5.1% were in Q1 of SSB consumption and Q2 of fast-food consumption, and 0.6% were in Q1 of SSB consumption and Q3 of fast-food consumption. In addition, 29.1% of participants were in Q2 of SSB consumption and Q1 of fast-food consumption, 10.1% were in Q2 of SSB consumption and Q2 of fast-food consumption, and 1.8% were in Q2 of SSB consumption and Q3 of fast-food consumption. Finally, 11.5% of participants were in Q3 of SSB consumption and Q1 of fast-food consumption, 7.0% were in Q3 of SSB consumption and Q2 of fast-food consumption, and 3.3% were in Q3 of SSB consumption and Q3 of fast-food consumption (Table 2).

3.2 Effects of independent consumption of SSBs and fast foods on mental health in adolescents

Compared to Q1 of SSB consumption (reference), Q2 (Adjusted odds ratio [AOR] = 1.07, 95% confidence interval [CI] = 1.00–1.14) and Q3 of SSB consumption were associated with increased stress (AOR = 1.20, 95% CI = 1.11–1.29). In addition, Q3 of SSB consumption was associated with increased depressive symptoms (AOR = 1.19, 95% CI = 1.09–1.30) and suicidal ideation (AOR = 1.18, 95% CI = 1.05–1.32) compared to the reference (Table 3).

TABLE 3

Table 3. Effects of independent consumption of sugar-sweetened beverages and fast-foods on mental health in adolescents (N = 24,006).

Compared to Q1 of fast-food consumption (reference), Q2 of fast-food consumption was associated with increased depressive symptoms (AOR = 1.16, 95% CI = 1.08–1.25), as was Q3 of fast-food consumption (AOR = 1.38, 95% CI = 1.21–1.57) compared to the reference (Table 3).

3.3 Effects of combining consumption of SSBs and fast foods on mental health in adolescents

Combining Q1 of SSB consumption and Q3 of fast-food consumption was associated with increased depressive symptoms (AOR = 1.15, 95% CI = 1.01–1.31) compared to combining Q1 of both SSB and fast-food consumption (reference). In addition, combining Q2 of both SSB and fast-food consumption was associated with increased stress (AOR = 1.18, 95% CI = 1.08–1.30) compared to the reference. Combining Q2 of SSB consumption and Q3 of fast-food consumption was also associated with increased stress (AOR = 1.32, 95% CI = 1.07–1.63) and depressive symptoms (AOR = 1.60, 95% CI = 1.29–1.98) compared to the reference (Table 4).

TABLE 4

Table 4. Effects of combining consumption of sugar-sweetened beverages and fast-foods on mental health in adolescents (N = 24,006).

Combining Q3 of SSB consumption with Q1 and Q2 of fast-food consumption was associated with increased stress, depressive symptoms, and suicidal ideation. Combining Q3 of SSB consumption and Q1 of fast-food consumption was associated with a 1.15-fold increase in stress (95% CI = 1.03–1.30), 1.20-fold increase in depressive symptoms (95% CI = 1.08–1.34), and 1.18-fold increase in suicidal ideation (95% CI = 1.03–1.34) compared to the reference. Combining Q3 of SSB consumption and Q2 of fast-food consumption was associated with a 1.26-fold increase in stress (95% CI = 1.15–1.38), 1.36-fold increase in depressive symptoms (95% CI = 1.20–1.54), and 1.23-fold increase in suicidal ideation (95% CI = 1.11–1.36) compared to the reference. Finally, combining Q3 of both SSB and fast-food consumption was associated with a 1.28-fold increase in stress (95% CI = 1.09–1.50), 1.59-fold increase in depressive symptoms (95% CI = 1.33–1.91), and 1.32-fold increase in suicidal ideation (95% CI = 1.06–1.65) compared to the reference (Table 4).

Discussion

This study identified the effects of combining the consumption of SSBs and fast foods on stress, depressive symptoms, and suicidal ideation in adolescents in Korea. The results of this study indicate that more than medium consumption of SSBs or fast foods may lead to increased stress, depressive symptoms, and suicidal ideation in adolescents.

Previous studies also reported that frequent SSB and fast-food consumption were associated with increased stress, depressive symptoms, and suicidality in adolescents (12, 32–34). In a previous study of Korean adolescents (32), consumption of SSBs and fast foods more than 3–4 times per week was associated with increased stress. Similarly, Yim et al. (34) reported that SSB consumption was associated with a 1.04-fold increase in stress. In addition, depressive symptoms increased with the consumption of SSBs and fast foods more than 1–2 times a week (32). Furthermore, daily consumption of SSBs and fast foods was associated with a 1.37–1.4 and 1.24–1.50 times increase in the depression of Iranian adolescents, respectively (15). Regarding suicidal behaviors, consumption of SSBs more than thrice a day (13) and more than seven times a week was associated with increased suicide attempts (35). Frequent fast-food consumption was associated with a 1.31-fold increase in suicide attempts among adolescents (13). Thus, SSB and fast-food consumption may significantly affect adolescents' mental health. According to Oliver et al. (36), higher emotional stress tends to have a significant association with increased consumption of sweeter and high-fat foods. Similarly, more severe depression might be associated with increased consumption of sweet and high-fat foods (34, 37, 38). Jacob et al. (13) proposed that SSB and fast-food consumption might promote suicidal ideation with increased vulnerability via high emotional stress and depression.

Regarding the relation between eating and emotions, individuals with emotional stress seek coping methods to minimize negative feelings due to tension. Eating may be the most common, simple, and least conscious behavior to cope with stressful situations (39); therefore, stress might induce increased appetite via activation of the nervous system (40). Arnow et al. (41) also reported that emotional triggers (negative emotions) could induce eating, regardless of physical hunger. Furthermore, as stress and depression are usually associated with eating (42), emotional eaters consume sweet and high-fat foods more frequently in response to stressors (43). Finally, emotional eating due to negative emotions could worsen mental health status via poor psychological wellbeing and emotion regulation (44). Thus, SSB and fast-food consumption and mental health could be interrelated. In this context, along with the decreased consumption of SSBs and fast foods, healthy coping methods to relieve negative emotions are suggested to prevent emotional eating, including frequent and increased consumption of SSBs and fast foods.

Combining more than medium consumption of SSBs and fast foods had a more significant association with increased stress, depressive symptoms, and suicidal ideation than their independent consumption in adolescents. In addition, combining high consumption of SSBs and low to high consumption of fast foods may have dose-dependent negative effects on stress, depressive symptoms, and suicidal ideation in adolescents. In a previous study, combining the consumption of caffeinated energy drinks and junk foods was more significantly associated with poor mental health than their independent consumption (14). Xu et al. (12) also reported that 40% of Chinese adolescents' psychological symptoms may be associated with the combined consumption of SSBs and fast foods. Thus, combined consumption of SSBs and fast foods may present more negative dose-dependent effects with synergetic effects. In this context, health education in schools and communities should be provided to adolescents and their parents to restrict SSB and fast-food consumption. In addition, creating a school environment that restricts the sale of SSBs and fast foods, such as limits on installing SSB vending machines and fast-food sales in cafeterias, must be considered. Moreover, health drinks and snacks that can replace SSBs and fast foods should be suggested by healthcare providers in school. According to Rocha et al. (45), school-based nutrition education and feeding program targeting the prohibition of purchasing SSBs and fast foods and offering healthy foods can be a tool to promote a secure school food environment for adolescents' health. Thus, for promoting the mental health of adolescents, the results of this study might provide evidence for developing school-based feeding programs targeting the restriction of SSB and fast-food consumption in schools and communities. In the field of public health, the independent and combined negative effects of SSB and fast-food consumption on mental health should be widely publicized, with policy proposals for decreased consumption to promote both the physical and mental health of adolescents. Accordingly, it is expected that the results of this study will serve as a starting point for social concerns and efforts to limit the consumption of SSBs and fast foods for preventing mental health problems in adolescents.

This study may contribute to strengthening the evidence for developing interventions aimed at decreasing SSB and fast-food consumption in adolescents. Nevertheless, this study had several limitations. First, SSB and fast-food consumption were assessed via drinking or eating days, without considering the total amount of consumption. Thus, further studies should evaluate adolescents' total amount of SSB and fast-food consumption from all sources. Second, most variables in the 17^th KYRBS, 2021, including variables in this study, were assessed using single questions. Thus, further studies should apply systematically developed instruments with sufficient validity and reliability to assess these variables more comprehensively. Third, due to its cross-sectional study design, this study could not identify the causal relationship between independent and outcome variables. Causal relationships among these variables may be verified using a longitudinal study. Fourth, this study involved only Korean high school students as participants; however, eating behaviors may differ with sociocultural background according to country. Thus, future studies should be performed with adolescents from various countries and cultures to draw relevant comparisons.

Conclusion

This study identified the effects of combining consumption of SSBs and fast foods on stress, depressive symptoms, and suicidal ideation among adolescents in Korean high schools. Combining more than medium consumption of SSBs and fast foods was associated with greater stress, depressive symptoms, and suicidal ideation than their independent consumption. In addition, high combined consumption of SSBs, with low to high consumption of fast foods, may have dose-dependent negative effects on stress, depressive symptoms, and suicidal ideation in adolescents. Based on the results of this study, healthcare providers in schools and communities should prioritize developing school/community-based feeding programs (for improving nutrition knowledge and secure food environments) and policies targeting the restriction of SSB and fast-food consumption to promote adolescent mental health.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

JSR planned and carried out the entire research process, including the preparation of the article, data analysis, interpretation of results, and writing the manuscript.

Funding

This study was supported by the National Research Foundation in Korea (Grant Number: 2021R1A2C100682811).

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Rocha LL, Pessoa MC, Gratão LHA, Carmo ASD, Cunha CF, Oliveira TRPR, et al. Health behavior patterns of sugar-sweetened beverage consumption among Brazilian adolescents in a nationally representative school-based study. PLoS ONE. (2021) 16:e0245203. doi: 10.1371/journal.pone.0245203

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Ra JS, Park M. Sex-base differences in factors associated with sugar-sweetened beverage consumption among Korean high school students. Front Nutr. (2022) 9:907922. doi: 10.3389/fnut.2022.907922

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bagozzi RP, Wong N, Abe S, Bergami M. Cultural and situational contingencies and the theory of reasoned action: application to fast food restaurant consumption. J Consum Psychol. (2000) 9:97–106. doi: 10.1207/S15327663JCP0902_4

CrossRef Full Text | Google Scholar

4. Kim A, Kim J, Kye S. Sugar-sweetened beverage consumption and influencing factors in Korean adolescents: based on the 2017 Korea youth risk behavior web-based survey. J Nutr Health. (2018) 51:465–79. doi: 10.4163/jnh.2018.51.5.465

CrossRef Full Text | Google Scholar

5. Southerland JL, Dula TM, Slawson DL. Barriers to healthy eating among high school youth in Rural Southern Appalachia. J Appalach Health. (2019) 1:31–43. doi: 10.13023/jah.0102.04.

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Beal T, Morris SS, Tumilowicz A. Global patterns of adolescent fruit, vegetable, carbonated soft drink, and fast-food consumption: a meta-analysis of global school-based student health surveys. Food Nutr Bull. (2019) 40:444–59. doi: 10.1177/0379572119848287

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Jang JE, Jeong SR. The relevance among dietary habits, body mass index and oral disease symptom experiences of Korean high school students-focusing on the 15th online youth health behavior survey in 2019. J Health Info Stat. (2021) 46:378–84. doi: 10.21032/jhis.2021.46.4.378

CrossRef Full Text | Google Scholar

8. Ramirez-Velez R, Fuerte-Celis JC, Martinez-Torres J, Correa-Bautista JE. Prevalence and associated factors of sugar-sweetened beverages intake among schoolchildren aged 9 to 17 years from Bogota, Colombia: the FUPRECOL study. Nutr Hosp. (2017) 34:422–30. doi: 10.20960/nh.250

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Khatatbeh M, Momani W, Altaany Z, Al Saad R, Al Bourah AR, Melhem O, et al. Mediterranean fast food: a leading cause of hypercholesterolemia among university students in Northern Jordan. Iran J Public Health. (2022) 90:779–87. doi: 10.18502/ijph.v51i4.9238

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Bleich SN, Vercammen KA. The negative impact of sugar-sweetened beverages on children's health: an update of the literature. BMC Obes. (2018) 5:6. doi: 10.1186/s40608-017-0178-9

PubMed Abstract | CrossRef Full Text | Google Scholar

11. English L, Carmona YR, Peterson KE, Jansen EC, Téllez Rojo MM, Torres Olascoaga L, et al. Changes in sugar sweetened beverage intake are associated with changes in body composition in Mexican adolescents: findings from the ELEMENT cohort. Nutrients. (2022) 14:719. doi: 10.3390/nu14030719

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Xu H, Wu X, Wan Y, Zhang S, Yang R, Wang W, et al. Interaction effects of co-consumption of fast food and sugar-sweetened beverages on psychological symptoms: evidence from a nationwide survey among Chinese adolescents. J Affect Disord. (2020) 276:104–11. doi: 10.1016/j.jad.2020.07.030

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Jacob L, Stubbs B, Firth J, Smith L, Haro JM, Koyanagi A. Fast food consumption and suicide attempts among adolescents aged 12–15 years from 32 countries. J Affect Disord. (2020) 266:63–70. doi: 10.1016/j.jad.2020.01.130

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Park S, Lee Y, Lee JH. Association between energy drink intake, sleep, stress, and suicidality in Korean adolescents: energy drink use in isolation or in combination with junk food consumption. Nutr J. (2016) 15:87–94. doi: 10.1186/s12937-016-0204-7

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zahedi H, Kelishadi R, Heshmat R, Motlagh ME, Ranjbar SH, Ardalan G, et al. Association between junk food consumption and mental health in a national sample of Iranian children and adolescents: the CASPIAN-IV study. Nutrition. (2014) 30:1391–7. doi: 10.1016/j.nut.2014.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Kim Y, Hagquist C. Mental health problems among economically disadvantaged adolescents in an increasingly unequal society: a Swedish study using repeated cross-sectional data from 1995 to 2011. SSM Popul Health. (2018) 6:44–53. doi: 10.1016/j.ssmph.2018.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Ra JS, Cho YH. Depression Moderates the relationship between body image and health-related quality of life in adolescent girls. J Child Fam Stud. (2017) 26:1799–807. doi: 10.1007/s10826-017-0720-x

CrossRef Full Text | Google Scholar

18. Liu J, Chen T, Chen M, Ma Y, Ma T, Gao D, et al. Sugar-sweetened beverages and depressive and social anxiety symptoms among children and adolescents aged 7–17 years, stratified by body composition. Front Nutr. (2022) 23:888671. doi: 10.3389/fnut.2022.888671

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Park S, Blanck HM, Sherry B, Brener N, O'Toole T. Factors associated with sugar-sweetened beverage intake among United States high school students. J Nutr. (2012) 142:306–12. doi: 10.3945/jn.111.148536

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kang K, Sung J, Kim CY. High risk groups in health behavior defined by clustering of smoking, alcohol, and exercise habits: national health and nutrition examination survey. J Prev Med Public Health. (2010) 43:73–83. doi: 10.3961/jpmph.2010.43.1.73

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Hoare E, Millar L, Fuller-Tyszkiewicz M, Skouteris H, Nichols M, Jacka F, et al. Associations between obesogenic risk and depressive symptomatology in Australian adolescents: a cross-sectional study. J Epidemiol Community Health. (2014) 68:767–72. doi: 10.1136/jech-2013-203562

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Xu H, Guo J, Wan Y, Zhang S, Yang R, Xu H, et al. Association between screen time, fast foods, sugar-sweetened beverages and depressive symptoms in Chinese adolescents. Front Psychiatry. (2020) 11:458. doi: 10.3389/fpsyt.2020.00458

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. (1977) 196:129–36. doi: 10.1126/science.847460

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Elliott JO, Richardson VE. The biopsychosocial model and quality of life in persons with active epilepsy. Epilepsy Behav. (2014) 41:55–65. doi: 10.1016/j.yebeh.2014.09.035

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Lee GY, Choi YJ. Association of school, family, and mental health characteristics with suicidal ideation among Korean adolescents. Res Nurs Health. (2015) 38:301–10. doi: 10.1002/nur.21661

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Yoo H, Kim N. Factors associated with lifestyle habits and mental health problems in Korean adolescents: the Korea national health and nutrition examination survey 2017–2018. Int J Environ Res Public Health. (2020) 17:9418. doi: 10.3390/ijerph17249418

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Lankinen V, Frojd S, Marttunen M, Kaltiala-Heino R. Perceived rather than actual overweight is associated with mental health problems in adolescence. Nord Psykiatr Tidsskr. (2018) 72:89–96. doi: 10.1080/08039488.2017.1389987

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Zahedi H, Djalalinia S, Sadeghi O, Zare Garizi F, Asayesh H, Payab M, et al. Breakfast consumption and mental health: a systematic review and meta-analysis of observational studies. Nutr Neurosci. (2022) 25:1250–64. doi: 10.1080/1028415X.2020.1853411

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Liu M, Ming Q, Yi J, Wang X, Yao S. Screen time on school days and risks for psychiatric symptoms and self-harm in Mainland Chinese adolescents. Front Psychol. (2016) 7:574. doi: 10.3389/fpsyg.2016.00574

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Jeon GS, Choi K, Cho SI. Gender differences in exposure and vulnerability to psychosocial and behavioral factors of suicide attempt among Korean adolescents. Asia Pac Psychiatry. (2017) 9:12272. doi: 10.1111/appy.12272

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lee E, Kim Y, A. study on stress, depression and suicidal ideation according to sexual behaviours among Korean adolescents. Cent Eur J Public Health. (2018) 26:215–22. doi: 10.21101/cejph.a4804

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Hong SA, Peltzer K. Dietary behaviour, psychological well-being and mental distress among adolescents in Korea. Child Adolesc Psychiatry Ment Health. (2017) 11:56. doi: 10.1186/s13034-017-0194-z

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Pan X, Zhang C, Shi Z. Soft drink and sweet food consumption and suicidal behaviors among Chinese adolescents. Acta Paediatr. (2011) 100:e215- e22. doi: 10.1111/j.1651-2227.2011.02369.x

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Yim HR, Yun HJ, Lee JH. An investigation on Korean adolescents' dietary consumption: focused on sociodemographic characteristics, physical health, and mental health. Int J Environ Res Public Health. (2021) 18:9773. doi: 10.3390/ijerph18189773

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Michael SL, Lowry R, Merlo C, Cooper AC, Hyde ET, McKeon R. Physical activity, sedentary, and dietary behaviors associated with indicators of mental health and suicide risk. Prev Med Rep. (2020) 19:101153. doi: 10.1016/j.pmedr.2020.101153

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Oliver G, Wardle J, Gibson EL. Stress and food choice: a laboratory study. Psychosom Med. (2000) 62:853–65. doi: 10.1097/00006842-200011000-00016

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Jeffery RW, Linde JA, Simon GE, Ludman EJ, Rohde P, Ichikawa LE, et al. Reported food choices in older women in relation to body mass index and depressive symptoms. Appetite. (2009) 52:238–40. doi: 10.1016/j.appet.2008.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Whitaker KM, Sharpe PA, Wilcox S, Hutto BE. Depressive symptoms are associated with dietary intake but not physical activity among overweight and obese women from disadvantaged neighborhoods. Nutr Res. (2014) 34:294–301. doi: 10.1016/j.nutres.2014.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Grajek M, Krupa-Kotara K, Białek-Dratwa A, Staśkiewicz W, Rozmiarek M, Misterska E, et al. Prevalence of emotional eating in groups of students with varied diets and physical activity in Poland. Nutrients. (2022) 14:3289. doi: 10.3390/nu14163289

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kemp E, Bui M, Grier S. Eating their feelings: examining emotional eating in at-risk groups in the United States. J Consum Policy. (2011) 34:211–29. doi: 10.1007/s10603-010-9149-y

CrossRef Full Text | Google Scholar

41. Arnow B, Kenardy J, Agras WS. The emotional eating scale: the development of a measure to assess coping with negative affect by eating. Int J Eat Disord. (1995) 18:79–90. doi: 10.1002/1098-108x(199507)18:1<79::aid-eat2260180109>3.0.co;2-v

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Devonport TJ, Nicholls W, Fullerton C. A systematic review of the association between emotions and eating behaviour in normal and overweight adult populations. J Health Psychol. (2019) 24:3–24. doi: 10.1177/1359105317697813

PubMed Abstract | CrossRef Full Text | Google Scholar

43. O'Connor DB, Jones F, Conner M, McMillan B, Ferguson E. Effects of daily hassles and eating style on eating behavior. Health Psychol. (2008) 27:S20–31. doi: 10.1037/0278-6133.27.1.S20

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Braden A, Musher-Eizenman D, Watford T, Emley E. Eating when depressed, anxious, bored, or happy: are emotional eating types associated with unique psychological and physical health correlates? Appetite. (2018) 125:410–17. doi: 10.1016/j.appet.2018.02.022

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Rocha LL, Pessoa MC, Gratão LHA, Carmo AS, Cordeiro NG, Cunha CF, et al. Characteristics of the school food environment affect the consumption of sugar-sweetened beverages among adolescents. Front Nutr. (2021) 8:742744. doi: 10.3389/fnut.2021.742744

PubMed Abstract | CrossRef Full Text | Google Scholar