Next Article in Journal
Improving Iodine Intake in Rural Haiti through Social Enterprise: A Cross-Sectional Study in the Central Plateau
Next Article in Special Issue
Standard vs. Nutrient-Enriched Cow’s Milk and Its Impacts on Child Growth: A Systematic Review and Meta-Analysis
Previous Article in Journal
Osteoporosis and Celiac Disease: Updates and Hidden Pitfalls
Previous Article in Special Issue
Artificial Light-at-Night Exposure and Overweight and Obesity across GDP Levels among Chinese Children and Adolescents
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Food Categories for Breakfast and Mental Health among Children in Japan: Results from the A-CHILD Study

1
Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan
2
Department of Health Policy, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan
*
Author to whom correspondence should be addressed.
Nutrients 2023, 15(5), 1091; https://doi.org/10.3390/nu15051091
Submission received: 9 February 2023 / Revised: 20 February 2023 / Accepted: 20 February 2023 / Published: 22 February 2023
(This article belongs to the Special Issue 2023 Collection: Dietary, Lifestyle and Children Health)

Abstract

:
There is limited evidence that what children eat for breakfast contributes to their mental health. This study aimed to examine the associations between food categories for breakfast and mental health among children in Japan. A proportion of participants aged 9–10 years in the Adachi Child Health Impact of Living Difficulty (A-CHILD) study in Japan who consumed breakfast daily were included (n = 281). Foods eaten for breakfast were reported by the children each morning for 7 consecutive days, and defined according to the food categories in the Japanese Food Guide Spinning Top. Child mental health was assessed by caregivers using the Strength and Difficulties Questionnaire. The mean intake frequencies per week were six times for grain dishes, two times for milk products, and one time for fruits. Linear regression analysis revealed an inverse association between the frequent intake of grain dishes, whether rice or bread, and problem behaviors after adjustment for potential confounders. However, confectionaries, which mainly consisted of sweet breads or pastries, were not associated with problem behaviors. The intake of non-sweet grain dishes at breakfast may be effective for preventing behavioral problems in children.

1. Introduction

Mental disorders in children are a major cause of health-related burdens, with approximately one-fifth of children suffering from mental disorders [1,2]. In a 2015 meta-analysis, the estimated worldwide pooled prevalence of individual mental disorders in children, such as any anxiety, depressive disorder, attention-deficit/hyperactivity disorder, or conduct disorder, ranged from 2% to 7% [3]. A recent systematic review evaluating the effect of COVID-19 lockdowns on children’s mental health reported a substantial increase in mental disorders after the lockdowns compared with before the lockdowns [4]. Mental health problems in children can lead to long-term negative effects during the life course, including poor economic outcomes, injury risk, and premature death [5,6,7]. Moreover, a significant proportion of mental health problems in adults begin during early life [8,9]. Therefore, it is important to identify preventive factors that can be targeted by interventions from childhood.
Breakfast is one of the potential preventive factors for children’s mental health. Breakfast is generally defined as the first meal of the day and eaten within 2 h of waking up, typically no later than 10:00 a.m. [10]. Breakfast interrupts the overnight fast and provides fuel to the brain and body [11]. Compared with adults, children may be more susceptible to the adverse effects of brief fasting because of the greater metabolic demands of the brain relative to the liver and muscle glycogen stores and gluconeogenic capacity [12]. The most investigated benefit of breakfast for children is its association with cognitive performance [13,14,15]. A systematic review showed that several tasks requiring attention, executive function, and memory were more reliably facilitated after breakfast consumption relative to fasting [13]. While there is some evidence for an association between breakfast skipping and mental disorders in children [16,17,18], the association may also depend on the quality of the breakfast [19,20]. High-quality breakfasts, such as those including bread, dairy products, and fruits but not confectionaries, were associated with better mental health, while low-quality breakfasts were associated with poorer mental health than breakfast skipping [19,20]. These findings suggest that the types of food eaten for breakfast are more important than whether or not breakfast is eaten.
Meals vary by culture and should be individually considered. Generally, breakfast has less variety and the same foods are eaten, while lunch and dinner have greater variety [21]. Western breakfasts are relatively simple, with three recommended food groups: cereals, dairy products, and fruits [22]. Thus, in a study conducted in Western culture settings, a high-quality breakfast is defined as the consumption of bread/cereals and/or dairy products and no commercially baked goods (e.g., biscuits/pastries) [20]. Another study defined a high-quality breakfast as the consumption of three or more of the following five food groups: bread/cereals, vegetables, fruits, dairy products, and meat/meat alternatives [19].
In Japan, there is no clear definition of a high-quality breakfast. Japanese breakfasts are relatively complex and have more variety than western breakfasts [23]. The Japanese diet underwent dramatic changes and became more Westernized between 1950 and 1975, characterized by the increased intake of milk, meat, poultry, eggs, and fat, and decreased intake of barley, potatoes, and rice [24,25]. Interestingly, the foods consumed in Japan have varying degrees of Westernization by meal types. For example, bread and dairy products are mainly eaten at breakfast rather than at lunch and dinner [26]. The ideal Japanese breakfast is considered to be derived from traditional Japanese cuisine (e.g., rice and miso soup) with nutritionally recommended items such as salads, but there is a gap between the ideal meal and reality [27]. Two main staple options for breakfast exist in Japan, rice-based and bread-based, with those preferring each option described as “gohan-ha” and “pan-ha”, respectively [23,26]. A study analyzing breakfast meal patterns among Japanese adults reported four types of patterns, including two staple meal patterns, as follows: rice-based (rice/vegetable/pulse/seasoning), bread-based (bread/dairy/fruit/sugar), meat/egg/fat, and tea/coffee [23]. However, the food types eaten by children for breakfast and their associations with mental health among children are not well understood.
Therefore, the aim of the present study was to investigate the types of food eaten for breakfast by children in Japan and to determine their relationships with mental health. There is consensus on the importance of eating breakfast; however, there is limited evidence that what children eat for breakfast contributes to their mental health. The goal of this study was to contribute to the improvement of children’s mental health by providing evidence about what to eat for breakfast to prevent problem behaviors in children.

2. Materials and Methods

2.1. Study Design and Subjects

This study used data on dietary habits and health from the Adachi Child Health Impact of Living Difficulty (A-CHILD) project, which was initiated in 2015 to evaluate the determinants of health among children in Adachi, Tokyo, Japan [28]. Specifically, the study used adjunct data obtained for all fourth-grade students aged 9–10 years enrolled in nine public elementary schools in Adachi City in 2018. Children aged 9–10 years were selected because it has been suggested that by the age of 8–10 years, children can reliably report their food intake [29]. Nine schools were selected by the local government based on their representativeness for social and geographic environments [30]. The survey consisted of two phases: the first was a breakfast survey for children, and the second was a health survey for children and their caregivers. For the breakfast survey, the questionnaires were distributed at school and children reported the foods eaten for breakfast for 7 consecutive days between September and November 2018. For the health survey, the questionnaires were distributed at school and taken home for their caregivers to complete and return in October 2018. Among the 455 child–caregiver pairs, 328 pairs provided informed consent and completed both the breakfast and health questionnaires. A total of 281 pairs were included in the present analysis, after excluding those with missing data for breakfast (n = 34) or mental health status (n = 13). We included children whose breakfast data included all 7 days because our objective was to examine what food types children should be eating for breakfast among those who ate breakfast daily. The sample comprised 131 male and 150 female children. The A-CHILD protocol and use of the data for the present study were approved by the Ethics Committee at Tokyo Medical and Dental University (Approval No. M2016-284).

2.2. Breakfast

Breakfast intake was assessed using a self-reported questionnaire in which the children were asked to fill in what food types they ate for breakfast over a 7-day period in a specified week. A registered dietitian coded each day’s breakfast menus as 0 or 1 for the inclusion or exclusion of six food categories according to the Japanese Food Guide Spinning Top, developed by the Ministry of Health, Labour and Welfare and the Ministry of Agriculture, Forestry and Fisheries of Japan to help people implement the Dietary Guidelines for Japanese [31]. The six food categories were: grain dishes; vegetable dishes; meat, fish, egg, and soybean dishes (main dish); milk and milk products; fruits; and confectionaries. Breads were classified according to whether they contained sweet fillings, with sweet breads containing cream, chocolate, or bean paste, or sugared breads being classified as confectionaries in accordance with the Standard Tables of Food Composition in Japan [32]. For example, if the breakfast menu was “toast, broccoli, and milk”, the categories of grain dishes, vegetable dishes, and milk and milk products were coded as 1, and the others were coded as 0. Similarly, if the breakfast menu was “chocolate bread and banana”, the categories of fruits and confectionaries were coded as 1, and the others were coded as 0. We did not account for serving sizes because the breakfast menus did not provide information on volumes. For the analysis, the average weekly frequency for each food category (total daily intakes of each category divided by seven) was used. For a detailed analysis of grain dishes, we calculated the mean frequencies for the intake of rice, bread, noodles (udon, soba, ramen, pasta), and cereals, which are typical staple foods in Japan. In addition, the children were categorized into three groups according to the frequency of rice or bread intake, as the two major staple foods in Japan. High rice eaters were defined as those who ate rice four or more times per week, high bread eaters were defined as those who ate bread four or more times per week, and all others were defined as low rice and bread eaters.

2.3. Mental Health Status

We evaluated the children’s difficult behaviors and prosocial behaviors as children’s mental health. The assessments of difficult behaviors and prosocial behaviors were conducted using the Japanese version of the Strength and Difficulties Questionnaire (SDQ) [33]. The SDQ is composed of 25 items and has five subscales: emotional symptoms, conduct problems, hyperactivity/inattention, peer relationship problems, and prosocial behaviors. Caregivers rated the child behaviors using a scale of 0 (not true)–2 (certainly true). The total score of four subscales (emotional symptoms, conduct problems, hyperactivity/inattention, and peer relationship problems) was calculated as the total difficult behavior score. These scores were converted into a scale of 0–100 to aid the interpretation of coefficients from the statistical analyses, as described previously [34,35]. A higher total difficult behavior score meant a higher level of difficult behaviors. A higher prosocial behavior score meant a higher level of prosocial behaviors. In our study sample, the Cronbach’s alpha values for the total difficult behavior score and prosocial behavior score were 0.82 and 0.73, respectively.

2.4. Covariates

Children’s statuses were assessed by a self-reported questionnaire. We considered that physical activity, sleep habits, and household socioeconomic status can be associated with both the quality of breakfast and mental health through their epidemiological relevance. Physical activity was assessed by the frequency of undertaking physical activity outside of school for ≥30 min and categorized into three groups (never/rarely, 1–4, or ≤5 times/week). Bedtime was categorized into three groups based on the children’s weekday habits (before 9:00 p.m., 9:00–9.59 p.m., and after 10:00 p.m.). Household and caregiver statuses were assessed by caregiver-reported questionnaires [36]. Household status included the household income and cohabitation status. The caregiver’s status included the mother’s age, mother’s educational attainment, mother’s employment status, and respondent’s mental health. The respondent’s mental health was assessed by the Kessler 6 scale (Japanese version) [37]. The cut-off point was a score of 5 and higher scores indicated frequent problems of psychological distress [38]. The mother’s educational attainment was categorized into three groups (low: junior high school, high school, or dropped out from high school; middle: professional school, college, or dropped out from college; or high: college or higher). The mother’s employment status was categorized into five groups (full-time, part-time, self-employed, side work, or unemployed).

2.5. Statistical Analysis

First, we performed a multivariate linear regression model to examine the associations between food categories for breakfast and mental health assessed as difficult behaviors and prosocial behaviors. Two models were constructed: Model 1 included individual food categories and was adjusted for potential confounders (child’s sex, physical activity, and bedtime; household income and cohabitation status; caregiver’s K6; and mother’s age, education, and employment); and Model 2 included further adjustment for all types of food categories (grain dishes, vegetable dishes, fish and meat dishes, milk and milk products, fruits, and confectionaries) to examine the relationships independently of other food categories. Second, to conduct a detailed analysis of the grain dishes, a multivariate linear regression model was used to examine the associations between the types of grain dishes and mental health. For sensitivity analyses, the frequencies of rice and bread consumption were calculated separately and their associations with mental health were analyzed. The two models described above were used. A word cloud for the children’s breakfast menus was created on the User Local website [39]. All analyses were conducted using Stata version 15 (StataCorp, College Station, TX, USA).

3. Results

The characteristics of the participants are presented in Table 1. Half of the participants were girls, a quarter exercised at least five times a week, more than one-third went to bed after 10:00 p.m., and approximately 90% lived with both their father and mother. The mothers were most often approximately 40 years of age, and nearly 80% were employed.
The most frequently consumed food type at breakfast was grain dishes, at six times a week (Table 2). The second most consumed food types were vegetable dishes and meat, fish, egg, and soybean dishes, with consumption once every two days. Milk products were consumed twice a week, while fruits and confectionaries were consumed once a week. In the analysis by types of grain dishes, rice and bread were consumed similarly, at three times per week. The consumption rates of noodles and cereals were low, at approximately one-tenth the rates of rice and bread. When the children were grouped by types of grain dishes, 36% ate rice at least four times per week (high rice eaters) and 39% ate bread at least four times per week (high bread eaters).
The word cloud for the breakfast menus reported by the children is shown in Figure S1. The breakfast menus were a mix of Japanese and Western dishes, with rice, bread, yogurt, salad, miso soup, milk, sausage, and eggs being commonly consumed items. The main grain dishes eaten for breakfast were rice and bread. Vegetable dishes often eaten for breakfast were tomatoes, cucumbers, broccoli, and lettuce. Among the foods categorized as meat, fish, egg, and soybean dishes, the consumption of processed foods such as sausages and ham, eggs, and natto (fermented soybeans) tended to be high. Yogurt and milk were the most frequently consumed milk products. The main fruits eaten at breakfast were bananas, oranges, and apples. Most of the foods classified as confectionaries were sweet breads or wheat-based pastries such as chocolate bread, red bean buns, donuts, and pancakes.
The associations between food categories for breakfast and mental health are shown in Table 3. The multiple linear regression analysis revealed that the more frequent consumption of grain dishes or fruits was associated with fewer problem behaviors (grain dishes: coefficient = −8.74, 95% CI: −17.0 to −0.51; fruits: coefficient = −7.63, 95% CI: −13.7 to −1.56) after the adjustment for potential confounders (Model 1). After the adjustment for all other food categories, the association for fruits was weaker (coefficient = −6.39, 95% CI: −13.1 to 0.28), but the association for grain dishes remained significant (coefficient = −12.2, 95% CI: −22.8 to −1.58) (Model 2). None of the food categories showed significant associations with prosocial behaviors.
The results of the regression analyses for mental health according to the types of grain dishes are shown in Table 4. Children who consumed rice or bread more frequently had fewer problem behaviors than those who consumed these items less frequently (high rice eaters: coefficient = −6.51, 95% CI: −10.7 to −2.27; high bread eaters: coefficient = −5.20, 95% CI: −9.25 to −1.14) (Model 2). Significant associations remained after the additional adjustment for all food categories except grain dishes. There were no significant differences between rice and bread dishes. Similar results were obtained when examining the associations between the frequencies of rice and bread intake and mental health (Table S1).

4. Discussion

To the best of our knowledge, this is the first study to examine the associations between food categories eaten for breakfast and mental health in Japanese children. Grain dishes were the main breakfast category for the children and these were consumed almost daily, with most of the children consuming rice or bread as cereals. Among the food categories at breakfast, grain dishes and fruits were associated with fewer problem behaviors. Rice and bread were both associated with a lower risk of problem behaviors.
We found that rice and bread were the two major grain dishes eaten at breakfast by the children. This pattern is consistent with a study on the breakfast patterns in Japanese adults, which found four types of patterns, including two staple meal patterns, as follows: rice-based (rice/vegetable/pulse/seasoning), bread-based (bread/dairy/fruit/sugar), meat/egg/fat, and tea/coffee [23]. Another study on Japanese university students found that the mean frequency of rice or bread intake at breakfast was three times a week, similar to the present findings [40]. The consumption of grain dishes other than bread and rice, i.e., noodles and cereals, was low, at approximately one-tenth the rates of rice and bread. Instead, children often consumed sweet breads categorized as confectionaries. Therefore, breakfast patterns other than bread or rice may be sweet bread patterns for children in Japan.
The present finding that the more frequent consumption of grain dishes, whether rice or bread, at breakfast was associated with fewer problem behaviors in children is plausible, because grain dishes are rich in carbohydrates that can be converted into glucose, which is primary fuel for the brain. The brain is sensitive to fluctuations in glucose supply, and the maintenance of adequate blood glucose concentrations between meals is thought to be beneficial for optimal cognition [11]. A study of children aged 9–11 years found improvements in memory and task performances after the consumption of glucose-containing drinks [41]. Therefore, the consumption of grain dishes at breakfast may have been effective for the supply of glucose after the overnight fast. Meanwhile, biological findings have indicated that carbohydrate intake increased the brain uptake of tryptophan from the plasma, leading to the synthesis of serotonin in the brain [42]. Serotonin, a neurotransmitter, plays an important role in mood alleviation [43]. Therefore, eating carbohydrate-rich grain dishes for breakfast may increase tryptophan bioavailability in the central nervous system, leading to the alleviation of mood.
In terms of glucose, many foods classified as confectionaries, such as chocolate bread, cream buns, donuts, and sugar toast, were also glucose-rich dishes. However, the consumption of confectionaries was not associated with problem behaviors in this study. One explanation may be the difference in glycemic load (GI). Compared with grain dishes high in polysaccharides, confectionaries are high in monosaccharides and have a higher GI. Lower GI values can minimize blood glucose fluctuations, and lower GI breakfasts were reported to be associated with better attention and less frustration in children compared with high-GI breakfasts [44]. A recent review found that sugar intake induced multiple physiological responses, including systemic inflammation, dopamine signaling disorders, oxidative stress, and insulin resistance, all of which are associated with depression [45]. Given these findings, it is possible that mental health is better served by the intake of non-sweet carbohydrates over sweet carbohydrates at breakfast.
The frequent consumption of fruits at breakfast was also associated with fewer problem behaviors in children. This finding is in line with the results of several observational studies on children, although breakfast was not evaluated [45,46]. A study in Australia showed that children with problem behaviors consumed fewer servings of fruits than children without problem behaviors [45]. Another study conducted on adolescents found that significantly fewer problem behaviors were observed with the increased intake of fresh fruits [46]. In the indicated studies, vegetable dishes and fruits were both associated with better mental health [45,46], but these associations were not observed in the present study. In our study, the association between fruits and mental health was no longer significant after the adjustment for other food categories including grain dishes. These findings suggest that the fructose in fruits may have contributed to problem behaviors or that other foods consumed with fruits may have had an effect (confounding).
Our study has some limitations. First, the validity and reliability of the breakfast measurement method in children aged 9–10 years have not been confirmed. Instead of estimating detailed foods and nutrients from the foods described by the children, we devised a way to achieve the measurements with high accuracy by only assessing the presence or absence of food category intakes. Second, we were unable to assess the quantities of each food category eaten for breakfast. Meanwhile, for foods associated with multiple food categories, we were often unable to identify the ingredients present in the foods. For example, some children did not report the details of the ingredients in their soups and stews. Therefore, the intake of vegetable dishes and meat, fish, egg, and soybean dishes, which are often included as ingredients, were often not counted as intake, possibly leading to underestimations in the results. In the future, it is necessary to devise methods that encourage children to describe the foods in detail and to obtain evaluations from caregivers to examine the validity of the method. Third, we were unable to evaluate dietary data other than breakfast intakes. However, the children were offered the same nutritious lunch at school during the day. Finally, the generalizability of the present results is limited because meals vary from culture to culture. The children in the present study ate rice or bread dishes as their main breakfast foods, had vegetable dishes and meat/fish/egg/soybean dishes every other day, and consumed fruits less frequently. Studies in other areas are needed. Despite these limitations, the fact that we were able to obtain breakfast data for children over a 7-day period provided very valuable evidence.

5. Conclusions

Elementary school children in Japan consumed more rice and bread dishes for breakfast compared with other food categories. Vegetable dishes and meat/fish/egg/soybean dishes were consumed every other day, and fruits and confectionaries were consumed about once a week. Children who consumed grain dishes or fruits had fewer problem behaviors than children who did not. Grain dishes, whether rice or bread, were associated with reduced problem behaviors, while confectionaries, which mainly consisted of sweet breads or pastries, were not associated with problem behaviors. These results should aid in the development of dietary recommendations for breakfast among Japanese children. Although further examinations are warranted in longitudinal and intervention studies, the intake of non-sweet grain dishes or fruits at breakfast may be effective for preventing behavioral problems in children. This study could add evidence that it is not only whether children eat breakfast but also the type of food they eat for breakfast matters. The public health impact of this study is to make caregivers aware of the benefits of having their children eat grain dishes or fruits for breakfast. Neither grain foods nor fruits require complex preparation and are therefore easy to prepare at home. Few schools offer breakfast in Japan, and the food contents of breakfasts served in the “school breakfast program” in Japan were shown to vary from school to school [47]. In the future, serving grain dishes and fruits may contribute to improvements in children’s mental health.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu15051091/s1, Figure S1: Word cloud for children’s breakfast menus; Table S1: Results of regression analyses on children’s mental health according to types of grain dishes among Japanese school children (n = 281).

Author Contributions

Conceptualization, Y.T.; methodology, Y.T.; validation, Y.T.; formal analysis, Y.T.; investigation, A.I. and T.F.; data curation, A.I., S.D. and Y.T.; writing—original draft preparation, Y.T.; writing—review and editing, A.I. and T.F.; visualization, Y.T.; supervision, Y.T.; project administration, T.F.; funding acquisition, Y.T. and T.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a Health Labour Sciences Research Grant, Comprehensive Research on Lifestyle Disease, from the Japanese Ministry of Health, Labour and Welfare (H27-Jyunkankito-ippan-002), Research of Policy Planning and Evaluation from the Japanese Ministry of Health, Labour and Welfare (H29-Seisaku-Shitei-004), Innovative Research Program on Suicide Countermeasures (IRPSC), Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS KAKENHI Grant Numbers 16H03276, 16K21669, 17J05974, 17K13245, 19K19310, 19K14029, 19K19309, 19K20109, 19K14172, 19J01614, 19H04879, 20K13945, 21H04848, and 22K10578), St. Luke’s Life Science Institute Grants, Japan Health Foundation Grants, and Research-Aid (Designated Theme), and the Meiji Yasuda Life Foundation of Health and Welfare.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Tokyo Medical and Dental University (Approval No. M2016-284).

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

The datasets generated and analyzed during the current study are not publicly available due to ethical or legal restrictions but are available from the corresponding author on reasonable request.

Acknowledgments

We are particularly grateful to the staff members and central office of Adachi City Hall for conducting the survey. In particular, we would like to thank Yayoi Kondo, Syuichiro Akiu, Hideaki Otaka, and Yuko Baba of Adachi City Hall, all of whom significantly contributed to the completion of the study. We would like to thank Mayuko Kano for her help in coding the breakfast menu.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kieling, C.; Baker-Henningham, H.; Belfer, M.; Conti, G.; Ertem, I.; Omigbodun, O.; Rohde, L.A.; Srinath, S.; Ulkuer, N.; Rahman, A. Child and adolescent mental health worldwide: Evidence for action. Lancet 2011, 378, 1515–1525. [Google Scholar] [CrossRef]
  2. Belfer, M.L. Child and adolescent mental disorders: The magnitude of the problem across the globe. J. Child. Psychol. Psychiatry 2008, 49, 226–236. [Google Scholar] [CrossRef]
  3. Polanczyk, G.V.; Salum, G.A.; Sugaya, L.S.; Caye, A.; Rohde, L.A. Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J. Child. Psychol. Psychiatry 2015, 56, 345–365. [Google Scholar] [CrossRef]
  4. Panchal, U.; Salazar de Pablo, G.; Franco, M.; Moreno, C.; Parellada, M.; Arango, C.; Fusar-Poli, P. The impact of COVID-19 lockdown on child and adolescent mental health: Systematic review. Eur. Child. Adolesc. Psychiatry 2021, 18, 1–27. [Google Scholar] [CrossRef]
  5. Knapp, M.; King, D.; Healey, A.; Thomas, C. Economic outcomes in adulthood and their associations with antisocial conduct, attention deficit and anxiety problems in childhood. J. Ment. Health Policy Econ. 2011, 14, 137–147. [Google Scholar]
  6. Jokela, M.; Ferrie, J.; Kivimäki, M. Childhood problem behaviors and death by midlife: The British National Child Development Study. J. Am. Acad. Child. Adolesc. Psychiatry 2009, 48, 19–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Jokela, M.; Power, C.; Kivimäki, M. Childhood problem behaviors and injury risk over the life course. J. Child. Psychol. Psychiatry 2009, 50, 1541–1549. [Google Scholar] [CrossRef] [PubMed]
  8. Kim-Cohen, J.; Caspi, A.; Moffitt, T.E.; Harrington, H.; Milne, B.J.; Poulton, R. Prior juvenile diagnoses in adults with mental disorder: Developmental follow-back of a prospective-longitudinal cohort. Arch. Gen. Psychiatry 2003, 60, 709–717. [Google Scholar] [CrossRef]
  9. Kessler, R.C.; Berglund, P.; Demler, O.; Jin, R.; Merikangas, K.R.; Walters, E.E. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 2005, 62, 593–602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Timlin, M.T.; Pereira, M.A. Breakfast frequency and quality in the etiology of adult obesity and chronic diseases. Nutr. Rev. 2007, 65, 268–281. [Google Scholar] [CrossRef]
  11. Bellisle, F. Effects of diet on behaviour and cognition in children. Br. J. Nutr. 2004, 92 (Suppl. 2), S227–S232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Pollitt, E.; Leibel, R.L.; Greenfield, D.B. Brief fasting, stress, and cognition in children. Am. J. Clin. Nutr. 1981, 34, 1526–1533. [Google Scholar] [CrossRef] [PubMed]
  13. Adolphus, K.; Lawton, C.L.; Champ, C.L.; Dye, L. The Effects of Breakfast and Breakfast Composition on Cognition in Children and Adolescents: A Systematic Review. Adv. Nutr. 2016, 7, 590s–612s. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Edefonti, V.; Rosato, V.; Parpinel, M.; Nebbia, G.; Fiorica, L.; Fossali, E.; Ferraroni, M.; Decarli, A.; Agostoni, C. The effect of breakfast composition and energy contribution on cognitive and academic performance: A systematic review. Am. J. Clin. Nutr. 2014, 100, 626–656. [Google Scholar] [CrossRef] [Green Version]
  15. Hoyland, A.; Dye, L.; Lawton, C.L. A systematic review of the effect of breakfast on the cognitive performance of children and adolescents. Nutr. Res. Rev. 2009, 22, 220–243. [Google Scholar] [CrossRef] [Green Version]
  16. Liang, K.; Chen, S.; Chi, X. Care Their Diet and Mind: Association between Eating Habits and Mental Health in Chinese Left-behind Children. Nutrients 2022, 14, 524. [Google Scholar] [CrossRef]
  17. Ahadi, Z.; Kelishadi, R.; Qorbani, M.; Zaahedi, H.; Aram, M.; Motlagh, M.E.; Ardalan, G.; Shafiee, G.; Arzaghi, S.M.; Asayesh, H.; et al. Association of Breakfast Intake with Psychiatric Distress and Violent Behaviors in Iranian Children and Adolescents: The CASPIAN- IV Study. Indian J. Pediatr. 2016, 83, 922–929. [Google Scholar] [CrossRef]
  18. Chen, X.; Sekine, M.; Hamanishi, S.; Wang, H.; Gaina, A.; Yamagami, T.; Kagamimori, S. Lifestyles and health-related quality of life in Japanese school children: A cross-sectional study. Prev. Med. 2005, 40, 668–678. [Google Scholar] [CrossRef]
  19. O’Sullivan, T.A.; Robinson, M.; Kendall, G.E.; Miller, M.; Jacoby, P.; Silburn, S.R.; Oddy, W.H. A good-quality breakfast is associated with better mental health in adolescence. Public Health Nutr. 2009, 12, 249–258. [Google Scholar] [CrossRef] [Green Version]
  20. Ferrer-Cascales, R.; Sánchez-SanSegundo, M.; Ruiz-Robledillo, N.; Albaladejo-Blázquez, N.; Laguna-Pérez, A.; Zaragoza-Martí, A. Eat or Skip Breakfast? The Important Role of Breakfast Quality for Health-Related Quality of Life, Stress and Depression in Spanish Adolescents. Int. J. Environ. Res. Public Health 2018, 15, 1781. [Google Scholar] [CrossRef] [Green Version]
  21. Cadario, R.; Morewedge, C.K. Why do people eat the same breakfast every day? Goals and circadian rhythms of variety seeking in meals. Appetite 2022, 168, 105716. [Google Scholar] [CrossRef] [PubMed]
  22. Giovannini, M.; Verduci, E.; Scaglioni, S.; Salvatici, E.; Bonza, M.; Riva, E.; Agostoni, C. Breakfast: A good habit, not a repetitive custom. J. Int. Med. Res. 2008, 36, 613–624. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Murakami, K.; Livingstone, M.B.E.; Sasaki, S. Meal-specific dietary patterns and their contribution to overall dietary patterns in the Japanese context: Findings from the 2012 National Health and Nutrition Survey, Japan. Nutrition 2019, 59, 108–115. [Google Scholar] [CrossRef]
  24. Sasaki, S. The value of the National Health and Nutrition Survey in Japan. Lancet 2011, 378, 1205–1206. [Google Scholar] [CrossRef] [PubMed]
  25. Kagawa, Y. Impact of Westernization on the nutrition of Japanese: Changes in physique, cancer, longevity and centenarians. Prev. Med. 1978, 7, 205–217. [Google Scholar] [CrossRef]
  26. Murakami, K.; Shinozaki, N.; Livingstone, M.B.E.; Fujiwara, A.; Asakura, K.; Masayasu, S.; Sasaki, S. Characterisation of breakfast, lunch, dinner and snacks in the Japanese context: An exploratory cross-sectional analysis. Public Health Nutr. 2022, 25, 689–701. [Google Scholar] [CrossRef] [PubMed]
  27. Melby, M.K.; Takeda, W. Lifestyle constraints, not inadequate nutrition education, cause gap between breakfast ideals and realities among Japanese in Tokyo. Appetite 2014, 72, 37–49. [Google Scholar] [CrossRef]
  28. Ochi, M.; Isumi, A.; Kato, T.; Doi, S.; Fujiwara, T. Adachi Child Health Impact of Living Difficulty (A-CHILD) study: Research protocol and profiles of participants. J. Epidemiol. 2020, 31, 77–89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Livingstone, M.B.; Robson, P.J. Measurement of dietary intake in children. Proc. Nutr. Soc. 2000, 59, 279–293. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Matsuyama, Y.; Isumi, A.; Doi, S.; Shibata, A.; Ishii, K.; Oka, K.; Fujiwara, T. Timing and intensity of physical activity and late sleeping habits among children in Japan. Front. Pediatr. 2022, 10, 915758. [Google Scholar] [CrossRef]
  31. Yoshiike, N.; Hayashi, F.; Takemi, Y.; Mizoguchi, K.; Seino, F. A new food guide in Japan: The Japanese food guide Spinning Top. Nutr. Rev. 2007, 65, 149–154. [Google Scholar] [CrossRef]
  32. Ministry of Education Culture Sports Science and Technology. Standard Tables of Food Composition in Japan, 2018; Ministry of Education Culture Sports Science and Technology: Tokyo, Japan, 2018. [Google Scholar]
  33. Matsuishi, T.; Nagano, M.; Araki, Y.; Tanaka, Y.; Iwasaki, M.; Yamashita, Y.; Nagamitsu, S.; Iizuka, C.; Ohya, T.; Shibuya, K.; et al. Scale properties of the Japanese version of the Strengths and Difficulties Questionnaire (SDQ): A study of infant and school children in community samples. Brain Dev. 2008, 30, 410–415. [Google Scholar] [CrossRef]
  34. Doi, S.; Fujiwara, T.; Ochi, M.; Isumi, A.; Kato, T. Association of sleep habits with behavior problems and resilience of 6- to 7-year-old children: Results from the A-CHILD study. Sleep Med. 2018, 45, 62–68. [Google Scholar] [CrossRef]
  35. Doi, S.; Fujiwara, T.; Isumi, A.; Ochi, M.; Kato, T. Relationship Between Leaving Children at Home Alone and Their Mental Health: Results From the A-CHILD Study in Japan. Front. Psychiatry 2018, 9, 192. [Google Scholar] [CrossRef]
  36. Tani, Y.; Fujiwara, T.; Doi, S.; Isumi, A. Home Cooking and Child Obesity in Japan: Results from the A-CHILD Study. Nutrients 2019, 11, 2859. [Google Scholar] [CrossRef] [Green Version]
  37. Furukawa, T.A.; Kawakami, N.; Saitoh, M.; Ono, Y.; Nakane, Y.; Nakamura, Y.; Tachimori, H.; Iwata, N.; Uda, H.; Nakane, H.; et al. The performance of the Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int. J. Methods Psychiatr. Res. 2008, 17, 152–158. [Google Scholar] [CrossRef]
  38. Sakurai, K.; Nishi, A.; Kondo, K.; Yanagida, K.; Kawakami, N. Screening performance of K6/K10 and other screening instruments for mood and anxiety disorders in Japan. Psychiatry Clin. Neurosci. 2011, 65, 434–441. [Google Scholar] [CrossRef] [PubMed]
  39. User Local. AI Text Mining. Available online: https://textmining.userlocal.jp (accessed on 22 June 2022).
  40. Sasaki, S.; Shimoda, T.; Katagiri, A.; Tsuji, T.; Amano, K. Eating Frequency of Rice vs. Bread at Breakfast and Nutrient and Food-Group Intake among Japanese Fem.male College Students. J. Commun. Nutr. 2002, 4, 83–89. [Google Scholar]
  41. Benton, D.; Stevens, M.K. The influence of a glucose containing drink on the behavior of children in school. Biol. Psychol. 2008, 78, 242–245. [Google Scholar] [CrossRef]
  42. Fernstrom, J.D.; Wurtman, R.J. Brain serotonin content: Physiological regulation by plasma neutral amino acids. Science 1972, 178, 414–416. [Google Scholar] [CrossRef]
  43. Shabbir, F.; Patel, A.; Mattison, C.; Bose, S.; Krishnamohan, R.; Sweeney, E.; Sandhu, S.; Nel, W.; Rais, A.; Sandhu, R.; et al. Effect of diet on serotonergic neurotransmission in depression. Neurochem. Int. 2013, 62, 324–329. [Google Scholar] [CrossRef]
  44. Benton, D.; Maconie, A.; Williams, C. The influence of the glycaemic load of breakfast on the behaviour of children in school. Physiol. Behav. 2007, 92, 717–724. [Google Scholar] [CrossRef]
  45. Renzaho, A.M.; Kumanyika, S.; Tucker, K.L. Family functioning, parental psychological distress, child behavioural problems, socio-economic disadvantage and fruit and vegetable consumption among 4-12 year-old Victorians, Australia. Health Promot. Int. 2011, 26, 263–275. [Google Scholar] [CrossRef] [Green Version]
  46. Oddy, W.H.; Robinson, M.; Ambrosini, G.L.; O’Sullivan, T.A.; de Klerk, N.H.; Beilin, L.J.; Silburn, S.R.; Zubrick, S.R.; Stanley, F.J. The association between dietary patterns and mental health in early adolescence. Prev. Med. 2009, 49, 39–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Satoh, M. ‘School breakfast’ in Japan. Bull. Aichi Shukutoku Univ. Fac. Commun. Stud. 2010, 3, 45–55. [Google Scholar]
Table 1. Characteristics of the Japanese school children (n = 281).
Table 1. Characteristics of the Japanese school children (n = 281).
n%
Child’s status
Sex
Male13146.6
Female15053.4
Physical activity
Never/rarely279.6
1–4 times/weeks18264.8
≤5 times/weeks7225.6
Bedtime
Before 9:00 p.m.207.1
9:00–9:59 p.m.15555.2
After 10:00 p.m.10537.4
Missing10.4
Type of grain dishes
High rice eater10135.9
High bread eater10938.8
Low rice and bread eater7125.3
Household status
Household income (million JPY)
<3.00238.2
3.00–5.998831.3
6.00–9.999433.5
≥10.03913.9
Missing3713.2
Cohabitation status
Parents24988.6
Mother258.9
Father31.1
No parent41.4
Caregiver’s status
Mother’s age (years)
<35207.1
35–4418666.2
≥457225.6
Missing31.1
Mother’s education
Low4917.4
Middle5820.6
High4315.3
Other/missing13146.6
Mother’s employment status
Full-time6723.8
Part-time12845.6
Self-employed196.8
Side work41.4
Not employed5921
Other/missing41.4
Respondent’s K6
<520372.2
≥57727.4
Missing10.4
Child’s behavior problems (SDQ score) aMeanSD
Total difficulties score22.714.1
Emotional symptoms18.818.9
Conduct problems22.518.4
Hyperactive/inattention31.523.1
Peer relationship problems18.217.7
Prosocial behavior68.521.3
K6, Kessler 6; SD, standard deviation; SDQ, Strength and Difficulties Questionnaire. a All variables ranged from 0 to 100.
Table 2. Breakfast intakes by the Japanese school children (n = 281).
Table 2. Breakfast intakes by the Japanese school children (n = 281).
MeanSD
Child’s food category intake at breakfast (n/week)
Grain dishes6.021.39
Vegetable dishes4.172.40
Meat, fish, egg, and soybean dishes3.272.13
Milk and milk products1.902.35
Fruits1.161.90
Confectionaries0.951.46
Child’s intake of food type of grain dishes at breakfast (n/week)
Rice2.772.06
Bread2.962.03
Noodle0.280.70
Cereal0.220.79
Table 3. Results of regression analyses on children’s mental health according to the frequencies of food categories for breakfast among Japanese school children (n = 281).
Table 3. Results of regression analyses on children’s mental health according to the frequencies of food categories for breakfast among Japanese school children (n = 281).
Food CategoryBehavior Problems
(SDQ Score)
Prosocial Behavior
(SDQ Score)
Coefficient (95% CI)Coefficient (95% CI)
Model 1
Grain dishes−8.74 (−17.0 to −0.51)−2.45 (−15.5 to 10.59)
Vegetable dishes−0.47 (−5.49 to 4.54)−0.61 (−8.5 to 7.27)
Meat, fish, egg, and soybean dishes−1.98 (−7.48 to 3.53)−4.67 (−13.3 to 3.97)
Milk and milk products−4.56 (−9.5 to 0.44)−0.07 (−8.0 to 7.82)
Fruits−7.63 (−13.7 to −1.56)5.70 (−3.9 to 15.32)
Confectionaries0.58 (−7.31 to 8.47)−2.43 (−14.8 to 9.97)
Model 2
Grain dishes−12.2 (−22.8 to −1.6)−5.61 (−22.6 to 11.38)
Vegetable dishes0.10 (−5.33 to 5.52)0.77 (−7.9 to 9.45)
Meat, fish, egg, and soybean dishes−0.11 (−6.24 to 6.03)−5.07 (−14.9 to 4.74)
Milk and milk products−2.51 (−7.96 to 2.94)−1.23 (−10.0 to 7.49)
Fruits−6.39 (−13.1 to 0.28)7.54 (−3.1 to 18.20)
Confectionaries−4.01 (−14.3 to 6.23)−8.46 (−24.9 to 7.93)
CI, confidence interval; SD, standard deviation; SDQ, Strength and Difficulties Questionnaire. All variables ranged from 0 to 100. Model 1: Individual food categories with adjustment for child’s sex, physical activity, and bedtime, household income and cohabitation status, caregiver’s K6, and mother’s age, education, and employment. Model 2: Model 1 with adjustment for all types of food categories (grain dishes, vegetable dishes, fish and meat dishes, milk and milk products, fruits, and confectionaries).
Table 4. Results of regression analyses on children’s mental health according to types of grain dishes among Japanese school children (n = 281).
Table 4. Results of regression analyses on children’s mental health according to types of grain dishes among Japanese school children (n = 281).
Food CategoryBehavior Problems
(SDQ Score)
Prosocial Behavior
(SDQ Score)
Coefficient (95% CI)Coefficient (95% CI)
Model 1
High rice eater−6.51 (−10.7 to −2.27)1.48 (−5.3 to 8.26)
High bread eater−5.20 (−9.25 to −1.14)2.80 (−3.7 to 9.28)
Low rice and bread eaterReferentReferent
Model 2
High rice eater−7.74 (−12.3 to −3.19)1.63 (−5.7 to 9.01)
High bread eater−5.27 (−9.62 to −0.92)2.05 (−5.0 to 9.10)
Low rice and bread eaterReferentReferent
CI, confidence interval; SD, standard deviation; SDQ, Strength and Difficulties Questionnaire. All variables ranged from 0 to 100. Model 1: Adjusted for child’s sex, physical activity, and bedtime, household income, and cohabitation status, caregiver’s K6, and mother’s age and employment. Model 2: Model 1 with further adjustment for all types of food categories except grain dishes (vegetable dishes, fish and meat dishes, milk, and milk products, fruits, and confectionaries).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tani, Y.; Isumi, A.; Doi, S.; Fujiwara, T. Food Categories for Breakfast and Mental Health among Children in Japan: Results from the A-CHILD Study. Nutrients 2023, 15, 1091. https://doi.org/10.3390/nu15051091

AMA Style

Tani Y, Isumi A, Doi S, Fujiwara T. Food Categories for Breakfast and Mental Health among Children in Japan: Results from the A-CHILD Study. Nutrients. 2023; 15(5):1091. https://doi.org/10.3390/nu15051091

Chicago/Turabian Style

Tani, Yukako, Aya Isumi, Satomi Doi, and Takeo Fujiwara. 2023. "Food Categories for Breakfast and Mental Health among Children in Japan: Results from the A-CHILD Study" Nutrients 15, no. 5: 1091. https://doi.org/10.3390/nu15051091

APA Style

Tani, Y., Isumi, A., Doi, S., & Fujiwara, T. (2023). Food Categories for Breakfast and Mental Health among Children in Japan: Results from the A-CHILD Study. Nutrients, 15(5), 1091. https://doi.org/10.3390/nu15051091

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop