Skip to main content
Download PDF

Effects of ‘SPRAT’ programme for dietary and lifestyle education to improve psychosomatic symptoms and dietary habits among adolescents: a cluster randomised controlled trial

BMC Public Health volume 22, Article number: 461 (2022) Cite this article

Abstract

Background

Dietary and lifestyle modifications to reduce subjective psychosomatic symptoms (SPS) have become an important topic worldwide. We developed a school-based dietary and lifestyle education programme that involved parents/guardians in reducing SPS in adolescents (SPRAT). The programme encouraged parents/guardians to participate in adolescents’ healthy dietary and lifestyle modifications to reduce SPS, increase enjoyment of school life, and foster appropriate dietary intake. This study evaluated the effectiveness of SPRAT in reducing SPS and in altering dietary behaviour among adolescents.

Methods

A 6-month cluster randomised controlled trial using SPRAT and the usual school programme (control) was performed. Participants were middle school students in Japan who provided informed consent. Outcomes were SPS scores assessed at baseline and 2, 4, and 6 months after baseline and the proportions of dietary and lifestyle factors achieved such as enjoyment of school life and dietary intakes assessed by FFQW82. Change from baseline (CFB) at 6 months was the primary endpoint. A linear mixed-effects model was applied. As for dietary intake, the treatment effect was estimated as an interaction term between baseline and treatment “baseline*treatment”.

Results

The intention-to treat analysis included 951 (94.7%) and 1035 (89.8%) individuals in the SPRAT and control groups, respectively. The CFB in the 6-month SPS score adjusted for baseline was lower in the SPRAT group (-0.29) than in the control group (0.62), but the difference was not statistically significant -0.91 (p = 0.093).

Conclusions

Although the primary endpoint tended to denote improvement in the SPRAT group compared to the control group, the improvement was not significant. Favourable effects were observed in some secondary outcomes and statistically significant treatment*baseline interactions were observed for several dietary intakes. These results imply that CFBs of dietary intake were increased or decreased in a favourable direction depending on the baseline intake, especially in the SPRAT group.

Trial registration

UMIN000026715. (27/03/2017)

Peer Review reports

Background

Increases in mental health problems in adolescents are of major public concern [1,2,3,4,5,6], and developing effective and practical programmes to reduce subjective psychosomatic symptoms (SPS) is needed. Adolescents’ lifestyles have been associated with severe SPS [7, 8] and a systematic review showed the relationship between diet and mental health in adolescents [9]. Potential influence of diet on mental health among adolescents is significant. To support adolescents in attaining a healthy and satisfying life, health education, nutrition, and psychological support were highlighted as priorities [10].

Assessments of the effectiveness of interventions by targeting main lifestyle elements such as healthy dietary intake [11,12,13] and physical activities [14,15,16,17,18,19,20] were reported. Previously we developed a school-based home-collaborative dietary and lifestyle education programme (PADOK) that was proved to be more effective for the improvement of poor SPS scores than conventional classroom education by a cluster randomised controlled trial [21]. The PADOK attempted to change adolescents’ diet and lifestyles in a non-compulsory way, with dietary habits assessed by the Food Frequency Questionnaire with 82 food items (FFQW82) [22]. Because adolescents’ health behaviour is largely influenced by home-related factors, such as dietary intake and eating patterns at home, physical activity, and whether the family’s lifestyle is sedentary, parents/guardians are in a unique position to participate in dietary and lifestyle education programs. Parents/guardians have been shown to play an important part in their adolescents’ dietary and lifestyle education [14,24,25,26,27]. As an improvement to PADOK, we developed a school-based dietary and lifestyle education programme involving parents/guardians to reduce SPS in adolescents (SPRAT) [28]. The SPRAT programme focussed more on dietary education and more cooperation with parents/guardians than the previous effort because such involvement is necessary to implement effective dietary and lifestyle improvements in adolescents. This study evaluated the effectiveness of SPRAT to reduce poor SPS and improve healthy dietary intake in adolescents based on a cRCT.

Methods

Study design

This was an open-label, parallel group, school-based 6-month cRCT with individual middle schools as the unit of allocation and individual students as the unit of analysis. The design conformed with the Consolidated Standards of Reporting Trials (CONSORT) guidelines. Before recruitment, we registered the study with UMIN-CTR and uploaded the study protocol [28].

Study setting

Voluntary middle schools in Kumamoto and Miyazaki Prefecture located in the south area in Japan.

Participants

School was the unit for cluster randomisation. Participants were all eligible adolescents of these middle schools in school years 1 and 2 (age 12–14 years). Therefore, participants having both healthy and unhealthy attitudes and behaviour were mixed. The participants were registered between October 2018 and December 2019. Parents/guardians in the SPRAT group were asked to join the programme to help their children.

JW and MW approached the Municipal Board of Education and the Principal Meetings in each area and got approval. Subsequently, JW identified volunteer middle schools and asked permission to enroll participants by telephone or a visit. Trial content was explained and efforts to obtain consent for schools’ cooperation were made. Several telephone meetings as well as face-to-face meetings with responsible persons and persons in charge of the Municipal Board of Education and the Meetings of Principals of Schools in each area were conducted. Further, we conducted several information sessions for parents/guardians in each school, for instance.

A minimum of 40 students was set as a requirement. Criteria for student participation are shown the study protocol and in Supplementary file 1. Written informed consent was obtained from all participants, including both students and their parents/guardians. As for participant recruitment and participant assignment, see the study protocol [28].

Randomisation, allocation concealment and blinding

Randomisation was conducted using a permuted-block technique using a randomisation list. Schools had been allocated manually by random numbers obtained using a personal computer (PC). KY generated the allocation sequences and JW enrolled schools and assigned participants to interventions. Due to the nature of the treatment, participants could not be blinded to the type of dietary and lifestyle education. However, data management team members, except for the project coordinator and research assistants, were blinded to the group allocations. To minimise the risk of bias, we developed strict protocols for follow-up assessment procedures (in Japanese) and trained research assistants to adhere to these protocols.

Interventions

The follow-up period was 6 months from randomisation (baseline). A 6-month intervention using SPRAT was conducted. The control was a usual school programme. This study was conducted according to the guidelines of the Declaration of Helsinki. The trial leader, a registered dietitian, provided training for the registered dietitians and learning support assistants based on the ‘registered dietitian training programme for SPRAT at the study management centres in Miyazaki and Kumamoto (around a 5-hour period). A summary of the intervention is as follows and details of the intervention are shown elsewhere [28].

SPRAT programme group (intervention group)

SPRAT is a dietary and lifestyle education programme of 6 monthly sessions involving parents/guardians to reduce SPS and to improve students’ health behaviour and dietary and lifestyle habits including physical activity and increase enjoyment of school life. Students are encouraged to increase intake of staple foods (rice, bread, etc.), main dishes (soy, fish, eggs and meat) and vegetables, particularly at breakfast and are assisted in developing skills in food selection by advice and education.

The FFQW82 questionnaire (at baseline and 6 months) [22], student’s SPS questionnaire (SPQ), and student’s Lifestyle Questionnaire (LQ) (at baseline and 2, 4, and 6 months) were administered. Participation self-check sheets (PPS) were provided to parents/guardians in the intervention group. Monthly sessions were conducted using a booklet ‘Smart Life’ which was delivered by registered dietitians and directed toward schoolteachers, students, and parents/guardians. Parent manuals (PPM) (every month) and a newsletter (4 times) were provided to parents/guardians in the SPRAT group. Thus, SPRAT also aimed to improve students’ health behavior and lifestyle habits as summarized in Table 4. Parents/guardians in the SPRAT group were required to participate regarding several issues according to the programme strategies. For instance, five homework assignments for students as well as parent manuals were distributed and practices to improve students’ lifestyle were conducted with their parents/guardians during the study period.

Usual programme (control group)

Students in the control group participated in the schools’ usual programme in health education classes. That programme was composed of existing health curriculum about diet and/or exercise that was routinely taught at each participating school. The registered dietitian, learning support assistants, or the teacher assessed dietary intake using the FFQW82. Teachers in junior high schools distributed and collected questionnaires for parents/guardians as shown in Fig. 1.

Fig. 1
figure 1

Flow diagram. CL, classroom lesson; FFQW82, Food Frequency Questionnaire with 82 food items; HW, homework; LQ, Lifestyle Questionnaire; Parents, parents/guardians; PM, parents’ manual; PPS, parent-participation self-check sheet for parents/guardians; RD, registered dietitian; SPRAT, School-based dietary and lifestyle education involving parents for reducing subjective psychosomatic symptoms in Japanese adolescents; SPQ, Subjective Psychosomatic Symptoms Questionnaire

Full size image

Study hypothesis

The hypothesis was that students who participated in the SPRAT group would have a greater decrease in their mean SPS score and more appropriate dietary intake than students in the control group after 6 months.

Outcome measures and background variables

Primary outcome

The primary outcome was the SPS score at 6 months from baseline measured by responses to the SPQ, which consists of questions on nine symptoms such as fatigue, headache, lassitude, irritation, lack of concentration, lack of motivation, poor ability to wake up in the morning, upset stomach and stiff shoulder. Using a Likert scale (5 levels: ‘0 = never’ to ‘4 = always’), we calculated the SPS score (0–36 points) as the sum of the category values for the nine items. The validity and reliability of the SPS score were shown elsewhere [21]. The primary endpoint was the difference in the change from baseline at 6 months (±1 month) between the two groups.

Secondary outcomes

Secondary outcomes were the SPS score at 2 and 4 months from baseline, dietary and lifestyle factors (sleeping habits, eating habits, enjoyable school life, and physical activity), and dietary intake (11 energy intakes by food group and 9 nutrients) assessed by the FFQW82 [22] and body mass index (BMI) at 6 months from baseline. A school nurse measured BMI. The dietary intake standard [29] states that the target BMI range (≥18 years old) can be applied to investigate the intake and output in the energy balance in adults but not children. For junior high school students, a growth curve indicating the level of obesity based on the School Health Law is used. Therefore, in this program, SPRAT used this growth curve to perform an exercise to plot the current height and weight for the purpose of students recognizing their own physique and maintaining an appropriate physique.

On the other hand, the potential significance of this study is to reduce mental and physical health problems in the study participants 12 to 13 years old- in the transitional period from adolescence to adult, and to track this o risk to the next generation [30]. This also helps prevent health problems in the future.

For example, regarding the health risks to the next generation, according to the National Health and Nutrition Examination Survey [31], the percentages of obese people in their 20s was 26.8% for males and 5.7% for females and the percentages of the underweight individuals were 9.1% for males and 21.7% for females. In this study, we thought that it was meaningful to get BMI change as a reference value for changes in the body. Therefore, the BMI endpoint was used.

Sample size

The required sample size was determined based on information needed to detect a difference in the primary outcome with a significance level of 5% and a power of 80%, under the assumptions of 40 students per cluster (same sample size for each cluster), an effect size (for severe SPS) of 0.3, and an intraclass correlation coefficient of 0.02. The effect size was estimated from our experience in a former study [21]. In total, participation by 28 schools (14 schools in each arm) was needed.

Statistical analysis

We conducted the statistical analyses following the New Guidelines for Statistical Reporting as previously described [32].

We used descriptive statistics to assess the balance between the trial arms at baseline. Continuous variables were summarized as mean, standard error (SE), and intraclass correlation coefficient (ICC) estimated using nested analysis of variance (ANOVA) considering a cRCT study design. The difference between the two groups was examined based on an intention-to-treat (ITT) principle with the full analysis set (FAS). For the primary outcome, we defined the FAS as full data for baseline and endpoint (at 6 months) SPS scores. Change from baseline (CFB) at 6 months was the primary endpoint. Dietary and lifestyle factors were categorised as dichotomous variables. A general linear random-effects mixed model employing the restricted maximum likelihood method was used to analyse continuous variables. For dichotomous secondary outcomes, random effects logistic models (subject-specific models) were used, and associations were shown as odds ratios (ORs) and 95% confidence intervals (CI). Primary outcome measure was used to examine the effects of the intervention by a crude model (model 1), a model adjusted for baseline values (model 2), and a multivariate-adjusted model (adjusted for baseline, sex, age, and school type [private or public].) (model 3).

As for the secondary outcomes such as dietary intake, on the other hand, the treatment effect was estimated as a baseline*treatment interaction in those models that include a baseline*treatment interaction term. We expected the interaction term baseline*treatment to be statistically significant. Since the study participants were both underweight and overweight, to accept the validity of the interaction between the treatment and dietary intake it is reasonable to consider baseline intake. Participants were encouraged to consume either lesser or greater amounts in consideration of estimates based on baseline intake.

For missing values, the analyses by the imputation of missing data were performed using the last observation carried forward method (LOCF) and a multiple imputation method (MI) using chained equations under the assumption of missing at random [33].

All tests for significance were conducted using a two-sided approach with a 5% significance level. P values were shown only for the primary analyses and 95% CI was shown for the secondary analyses. All statistical analyses were performed using SAS V.9.4 for Windows (SAS Institute).

Data management and monitoring

Personal information was coded and anonymised. All data and documents related to this study were managed as planned [28]. The ethics committee will receive a report at the conclusion of the study and after the final results.

Protocol amendments

No amendments to the protocol or of the follow-up of adverse events.

Ethics and dissemination

The All tests for significance were conducted to the Declaration of Helsinki and the ethical guidelines for medical research on humans. This study was approved by the Ethical Review Board of the Medical Ethical Committee of Minami Kyushu University in 2017 (Number 137).

Patient and public involvement

There was no patient or public involvement.

Results

The study flow is summarised following CONSORT [34] in Fig. 1. Among the eligible schools, 5 were excluded from randomisation because of curriculum/teacher changes (4 schools) and too few students (1 school). In total, 23 middle schools (n = 2277 students) were recruited. Finally, 11 schools (n = 1004) in the SPRAT group and 12 schools (n = 1153) in the control group were randomised. Students who did not agree to enter the study (n= 75 students) or who were absent for long-term sickness (n = 45 students) were excluded. Participating in the analysis were 951 students in the SPRAT group (94.7%, 486 boys and 465 girls) and 1035 students in the control group (89.8%, 424 boys and 611 girls) (see Fig. 1; Table 1). One girls’ school was included in the control group. Two of 11 intervention schools and 3 of 12 control schools were private schools. Classroom lessons were conducted monthly as planned in the SPRAT group and intervention group. Details of the classroom lessons were described elsewhere [28]. The mean age, SPS scores, BMI, and dietary intake by meals, energy intake (kcal) by food groups and nutrients at baseline, proportions of sexes, school type, and dietary and lifestyle factors are summarised in Table 1. As for dietary and lifestyle factors, the proportion of the response of “very good” was summarised. At baseline, the mean values were similar among the SPRAT and control groups except for the SPS score and dietary and lifestyle factors of “Staple food consumed per breakfast”, “vegetables consumed per breakfast”, and “dairy products consumed per day” (Table 1).

Table 1 Summary statistics of the SPS score, BMI, and energy intake at breakfast, lunch, dinner, whole day, by food group, nutrient intake, and dietary and lifestyle factors at baseline. (n = 1986)
Full size table

 

Because interactions with time were significant, the analyses were conducted independently at various time points (2, 4, and 6 months). Using the mixed-effects model, the CFB in the 6-month SPS score was not statistically significant for crude (-0.40, 95%CI: -1.62 to 0.81, p = 0.497), baseline adjusted (-0.91, 95%CI: -1.99 to 0.17, p = 0.093), and multivariable adjusted (-0.89, 95%CI: -2.03 to 0.24, p = 0.116) values. Results of LODF and MI showed similar estimates (Table 2). Among secondary endpoints, lower SPS scores in the SPRAT group compared to the control group were observed in the CFB in the 4-month SPS score (baseline adjusted: -1.60, 95%CI: -2.87 to -0.33); multivariable adjusted: -1.64, 95%CI: -2.96 to -0.32) (Table 3). Dietary intakes with a non-significant baseline*interaction in the mixed-effects model were calculated using the mixed-effects model. Three of 11 energy intakes by food group (kcal) and 8 of 9 nutrient intakes had statistically significant interactions. Assessing baseline*treatment interaction becomes important for evaluating “the change in dietary behaviour” appropriately when considering the purpose of dietary education. (see Supplementary file 2) Further, using the random-effects logistic model, favourable effects on dietary and lifestyle factors were observed, such as “enjoying school life” (OR 2.01, 95%CI: 1.59 to 2.53), “staple food consumed per breakfast” (OR 1.49, 95%CI: 1.06 to 2.08), and “main dishes consumed per lunch” (OR 1.53, 95%CI: 1.08 to 2.16) (Table 4).

Table 2 Mean SPS score at 6 months from baseline, results for primary endpoint and estimates of the mean difference between SPRAT and control groups by mixed-effects model. (n = 1872)
Full size table
Table 3 Estimates of the mean difference of the values of secondary outcomes (SPS score at 2 and 4 months, and BMI months from baseline) between SPRAT and control groups by mixed-effects model
Full size table
Table 4 Effects of dietary and lifestyle intervention on the dietary and lifestyle factors analyzed by the mixed-effects logistic model and regression model (Multivariable odds ratio and multivariable adjusted regression coefficients, n = 1870)
Full size table

.

Discussion

Statement of the principal findings

The SPRAT programme offered school-based dietary and lifestyle education involving parents/guardians of middle school students in Japan to reduce poor SPS and improve dietary intake. The trial tested our hypothesis that students who completed the SPRAT programme would have an improved SPS score, a more enjoyable school life, healthier dietary and lifestyle habits, including those related to diet and physical activity, and intake of healthier foods and nutrients. The CFB of the SPS score at 6 months adjusted for baseline was lower in the SPRAT group than in the control group but not with statistical significance. Only the CFB at 4 months differed significantly in the SPRAT group compared to the control group. Favourable effects were observed in some of the secondary outcomes. Especially, it was interesting that statistically significant baseline*treatment interactions were observed for many variables of dietary intake. These results imply that CFBs of dietary intake were increased or decreased in a favourable direction depending on the baseline intake, especially in the SPRAT group, where participants were encouraged to take appropriate nutrients from food based on baseline information.

Several explanations have been suggested for the mechanism of the connection between dietary and lifestyle interventions with psychosomatic symptoms [9, 35,36,37]. The present study offers clues on how to offer effective practical measures for minimising SPS and its potential influence among adolescents.

Compared to the PADOK, SPRAT reinforced the role of parents/guardians in changing dietary behaviour and reducing SPS in adolescents as described in the Method section. Although the effects of reducing SPS were weak except at 4 months, dietary behaviour and dietary intake, especially at lunch, were affected by parents/guardians to some degree. For instance, adolescents’ health behaviour was largely affected by factors at home such as dietary intake, eating patterns, physical activity, and a sedentary lifestyle [25]. Significantly better results of dietary and lifestyle interventions in overweight youth were achieved with parental involvement [26] Physically active parents were more likely to have physically active children in a systematic review [27]. Further, comprehensive behavioural family dietary and lifestyle interventions improved weight outcomes in youths in a meta-analysis [24]. Another review [23] noted the need for further studies on school-based interventions with parental components. The inclusion of participation by parents/guardians might have helped to obtain good effects as summarised in the report of a task force [38]. We conducted a subgroup analysis of the SPRAT group to obtain information about the SPS, BMI, and dietary intakes by concordance of the participation self-check sheet. (Results are not shown.) We calculated the average of those outcomes by the concordance level by classifying the concordance as GCR (concordance between parent/guardian and student for “very good”), NCR (concordance for “not very good”), and discordance. There were not large differences in the mean values of the outcomes at baseline, but at 6 months there seemed to be a tendency toward increases in the difference in dietary intakes for breakfast, lunch, dinner, and the whole day. These differences were twice as large for NCR compared to GCR, especially for responses to the questions “Taking exercise and stretching”, “Fast asleep at 12 AM (midnight)”, and “Not consumed snacks after 10 PM”. This tendency can be interpreted as the effects of the SPRAT both for parents/guardians and adolescents to some degree.

Strengths and weaknesses of the study

The following can be considered as the strengths of the SPRAT programme. First, in the usual school life, disseminating health knowledge to parents/guardians was less frequent than with the SPRAT programme. Such regular stimulation through this education (see Table 1 in the protocol paper [28]) has impacted improvements through the SPRAT programme. Second, the self-check-off points (parents/guardians also did), which were particularly focused on important issues, may be practised even among parents/guardians with a tight timetable. Regular stimulation might have encouraged attention to important issues related to a child’s lifestyle and food intake. Third, the inclusion of short messages regarding scientific evidence of the merits of enriched breakfasts in textbooks and newsletters should have allowed parents/guardians to access such information. Fourth, multiple stimuli for parents/guardians could increase opportunities to touch the consciousness of parents/guardians. The design of the SPRAT programme provides such opportunities that are insufficient in current standard school education.

However, several limitations remained. Unlike the former studies [11,12,13,14,15,16,17,18,19,20], this study was conducted in Japanese middle schools. Therefore, generalisability is a limitation of the study design. The lack of blinding of the intervention to school teachers and registered dietitians was also a limitation.

A cluster randomised controlled trial to evaluate school-based education on changing adolescents’ dietary and lifestyle can be a powerful tool. However, in cluster randomisation with the school as a unit, we included all the students in spite of variations in health, differing from the usual clinical trials. Healthy adolescents brought about ceiling effects, and the results may tend to be conservative. In this study, the SPS score at 4 months denoted a significant improvement in the SPRAT group compared to the control group. We interpreted the results as showing that the effects of the SPRAT programme were limited to the short term or were affected by the ceiling effect to some degree. A recent article that examined the effects of school-based physical activity interventions on mental health in adolescents by a cRCT suggested a potential ceiling effect due to a smaller potential for improvement [39, 40]. In examining the overall study population, they found no effects. However, from a subgroup analysis that included those with the highest levels of psychological difficulties at baseline, favourable results were obtained [36]. Using our study data, we performed a subgroup analysis of participants with the highest SPS scores at baseline but did not obtain different results from those of the overall study population. We should interpret this finding carefully because there could be other factors such as regression to the mean. In addition, we used CFB. Analysis of covariance using change from baseline is the preferred general approach [41].

The educational objective of the SPRAT regarding diet was based on ​​encouraging appropriate amounts consumed but which allowed each student to determine based on information provided whether the amounts were within the desired range and were neither excessive nor insufficient. Indications personally given by the SPRAT programme were roughly eating staple foods, main dishes, side dishes, and dairy products for breakfast ); having staple foods, a main dish, side dish, and even milk at lunch; setting a specified time for snacks, and eating a midnight snack no later than 22:00 ; limiting sweets with 300 kcal or more to 3 times a week; drinking non-caloric drinks when thirsty; understanding that a desirable physical constitution is within ± 2SD of the average weight on the growth curve; not overusing oil dressing and mayonnaise, and having only one dish that uses oils and fats at a meal. The behavioural changes obtained from SPRAT were reflected in the red straight lines of total energy intake, breakfast and lunch energy intake, cereals, dairy products, proteins, fats, carbohydrates (see Supplementary file 2). It is highly possible that the less amount moved in the positive direction and the excess part moved in the negative direction with respect to the above desirable dietary content. In contrast, the blue line indicates that the individuals made changes regardless of the programme. The blue line reflects data for the control group. As in the intervention group, they increase intake of what they perceived to be less than the appropriate amount and decreased intake of what they perceived to be excessive. However, because the adolescents in the control group made changes without a programme that included parent/guardian input, the range of change was understandably smaller than that of the intervention group. The range of change in the intervention group was larger than that in the control group due to the educational effect (knowing the appropriate amount, knowing the target amount, and receiving support from others). Of interest was that the range of changes in lunch was more pronounced than for breakfast. Considering that students brought their lunch in one-third of schools, it was possible that the actions of parents/guardians resulted in increased or lost weight. Looking at the raw data, 50% (29.8 kcal) of the total energy of 59.2 kcal increased from the baseline was the energy consumed at lunch. The big change beyond the voluntary effects of the parents was brought as the educational effect for parents. The results that the odds ratio of the main dishes consumed per lunch was 1.53 (1.08 to 2.16) supported the above interpretation. However, we need further careful analyses and further study are required.

Excluding adolescents with mental health problems may have diluted the effect of the intervention. The reason why exclusion criteria included students with mental health issues was as follows. In usual school programmes, it is difficult to include adolescents with mental health issues because those students will not come to school and will not join the school curriculum. There were 3 adolescents who had mental health issues: 2 with orthostatic dysregulation and 1 with epilepsy and these students had long-term absences from school.

In this study, we focussed on energy intakes calculated from the FFQW82 as indicators of healthy eating. Though the FFQW82 has been validated, its use was a limitation because it is based on subjective reporting.

Through completion of the registered dietitian training programme for SPRAT, registered dietitians should successfully carry out the intervention through accurate and uniform dissemination of information. Only a few registered dietitians have taken dietary education courses at junior high schools as part of the current education system in Japan. In fact, no registered dietitian who participated in nutrition education at these study schools had taken dietary education courses. Our programme used tailor-made teaching materials for classroom sessions, homework, and communication with students, their parents/guardians, and registered dietitians. These materials helped with communications among them, and inclusion of parents/guardians had a favourable effect on improving adolescents’ dietary and lifestyle compared to the PADOK. The effectiveness of dietary and lifestyle education for adolescents by school teachers was shown [42] and cognitive-behavioural skills-building interventions by teachers can have a positively effect in several important areas for adolescents at risk for serious problems including SPS. A multifocal lifestyle intervention is very ambitious choice and change in nutrition might have been simpler with larger efficacy. We are also preparing for the digitisation of teaching methods and teaching materials for schools. Additionally, consideration of measures to foster participation by parents/guardians could make sense, as recommended [43]. Using a risk-group approach may be resulted in useful information and recommended at least in the follow-up of the trial group or in secondary analysis. For this issue, further study is warranted.

Conclusions

Although the result for the primary endpoint tended to denote improvement in the SPRAT group compared to the control group, the improvement was not significant. Favourable effects were observed in some secondary outcomes. By the interaction term of dietary intake, our results imply that CFBs of dietary intake were increased or decreased in a favourable direction depending on the baseline intake, especially in the SPRAT group, wherein participants were encouraged to take the appropriate amounts of nutrients from food. Change in nutrition might bring simpler with larger efficacy among lifestyle education. Findings from this evaluation of SPRAT can address critical issues indeveloping practical and successful educational programmes to minimise SPS and increase the effectiveness of dietary education and potentially influence adolescents in ameliorating SPS. Further study is warranted on the methods of cluster randomisation for healthy adolescents and the effects of the inclusion of parent/guardian participation.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AIC:

Akaike information criteria

ANOVA:

Analysis of variance

CFB:

Change from baseline

cRCT:

Cluster randomised controlled trial

FAS:

Full analysis set

FFQW82:

Food frequency questionnaire with 82 food items

ICC:

Intraclass correlation coefficient

ITT:

Intention-to-treat

LOCF:

Last observation carried forward method

LQ:

Lifestyle questionnaire

MI:

Multiple imputation

PADOK:

Programme for adolescent of lifestyle education in Kumamoto

PM:

Parent manuals

PPS:

Parent-participation self-check sheets

SPS:

Subjective psychosomatic symptoms

SPQ:

SPS questionnaire

SPRAT:

School-based dietary and lifestyle education programme involving parents/guardians to reduce SPS in adolescents

References

  1. Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O, et al. Child and adolescent mental health worldwide: evidence for action. Lancet. 2011;378:1515–25. https://doi.org/10.1016/S0140-6736(11)60827-1.

    Article  PubMed  Google Scholar 

  2. Cabinet Office (Japan). Heisei 26, Version children and youth white paper (Central Edition). 2016. http://www8.cao.go.jp/youth/whitepaper/h26honpen/ accessed 29 Jul 2017.

  3. Crawley EM, Emond AM, Sterne JA. Unidentified chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) is a major cause of school absence: surveillance outcomes from school-based clinics. BMJ Open. 2011; e000252. https://doi.org/10.1136/bmjopen-2011-000252.

  4. Tanaka H, Terashima S, Borres MP, Thulesius O. Psychosomatic problems and countermeasures in Japanese children and adolescents. Biopsychosoc Med. 2012;6:6. https://doi.org/10.1186/1751-0759-6-6.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Langford R, Bonell CP, Jones HE, Pouliou T, Murphy SM, Waters E, et al. The WHO health promoting school framework for improving the health and well-being of students and their academic achievement. Cochrane Database Syst Rev. 2014;4:CD008958. https://doi.org/10.1002/14651858.CD008958.pub2.

    Article  Google Scholar 

  6. Bor W, Dean AJ, Najman J, Hayatbakhsh R. Are child and adolescent mental health problems increasing in the 21st century? A systematic review. Aust N Z J Psychiatry. 2014;48(7):606–16. https://doi.org/10.1177/0004867414533834.

    Article  PubMed  Google Scholar 

  7. Melnyk BM, Small L, Morrison-Beedy D, Strasser A, Spath L, Kreipe R, et al. Mental health correlates of healthy lifestyle attitudes, beliefs, choices, and behaviors in overweight adolescents. J Pediatr Health Care. 2006;20:401–6. https://doi.org/10.1016/j.pedhc.2006.03.004.

    Article  PubMed  Google Scholar 

  8. Isshiki Y, Morimoto K. Lifestyles and psychosomatic symptoms among elementary school students and junior high school students. Environ Health Prev Med. 2004;9:95–102. https://doi.org/10.1007/BF02898067.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Neil A, Quirk SE, Housden S, Brennan SL, Williams LJ, Pasco JA, et al. Relationship Between Diet and Mental Health in Children and Adolescents: A Systematic Review. Am J Public Health. Am J Public Health.2014; 104: e31–e42. https://doi.org/10.2105/AJPH.2014.302110.

  10. Laura Laski 1, Expert Consultative Group for Every Woman Every Child on Adolescent Health. Collaborators, Realising the health and wellbeing of adolescents. BMJ. 2015;351:h4119. https://doi.org/10.1136/bmj.h4119.

    Article  Google Scholar 

  11. Yamaoka K, Watanabe M, Hida E, Tango T. Impact of group-based dietary education on the dietary habits of female adolescents: a cluster randomized trial. Public Health Nutr. 2011;14:702–8. https://doi.org/10.1017/S1368980010002405.

    Article  PubMed  Google Scholar 

  12. Caballero B, Clay T, Davis SM, Ethelbah B, Rock BH, Lohman T, et al. Pathways: a school-based, randomized controlled trial for the prevention of obesity in American Indian schoolchildren. Am J Clin Nutr. 2003; 78:1030–8.

    Article  CAS  Google Scholar 

  13. James J, Thomas P, Cavan D, Kerr D. Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial. BMJ. 2004;328:1237. https://doi.org/10.1136/bmj.38077.458438.EE.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Grydeland M, Bjelland M, Anderssen S, Klepp KI, Bergh IH, Andersen LF, et al. Effects of a 20-month cluster randomised controlled school-based intervention trial on BMI of school-aged boys and girls: the HEIA study. Br J Sports Med. 2014;48:768–73. https://doi.org/10.1136/bjsports-2013-092284.

    Article  PubMed  Google Scholar 

  15. Metcalf B, Henley W, Wilkin T. Effectiveness of intervention on physical activity of children: systematic review and meta-analysis of controlled trials with objectively measured outcomes (EarlyBird 54). BMJ. 2012;345:e5888. https://doi.org/10.1136/bmj.e5888.

    Article  PubMed  Google Scholar 

  16. Kipping RR, Howe LD, Jago R, Campbell R, Wells S, Chittleborough CR, et al. Effect of intervention aimed at increasing physical activity, reducing sedentary behaviour, and increasing fruit and vegetable consumption in children: active for Life Year 5 (AFLY5) school based cluster randomised controlled trial. BMJ. 2014;348:g3256. https://doi.org/10.1136/bmj.g3256.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Sutherland R, Campbell E, Lubans DR, Morgan PJ, Okely AD, Nathan N, et al. ‘Physical activity 4 everyone’ school-based intervention to prevent decline in adolescent physical activity levels: 12 month (mid-intervention) report on a cluster randomised trial. Br J Sports Med. 2016;50:488–95. https://doi.org/10.1136/bjsports-2014-94523.

    Article  PubMed  Google Scholar 

  18. Pardo BM, Bengoechea EG, Lanaspa EG, Bush PL, Casterad JZ, Clemente JJ, et al. Promising school-based strategies and intervention guidelines to increase physical activity of adolescents. Health Educ Res. 2013;28:523–38. https://doi.org/10.1093/her/cyt040.

    Article  Google Scholar 

  19. Bourdeaudhuij ID, Van Cauwenberghe E, Spittaels H, Oppert JM, Rostami C, Brug J, Vet. School-based interventions promoting both physical activity and healthy eating in Europe: a systematic review within the HOPE project. Obes Rev. 2011;12:205–16. https://doi.org/10.1111/j.1467-789X.2009.00711.x.

    Article  PubMed  Google Scholar 

  20. Baceviciene M, Jankauskiene R, Emeljanovas A. Self-perception of physical activity and fitness is related to lower psychosomatic health symptoms in adolescents with unhealthy lifestyles. BMC Public Health. 2019; 19:980. https://doi.org/10.1186/s12889-019-7311-2.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Watanabe J, Watanabe M, Yamaoka K, Adachi M, Tango T. Effect of school-based home- collaborative lifestyle education on reducing subjective psychosomatic symptoms in adolescents: a cluster randomised controlled trial. PLoS One. 2016;11:e0165285. https://doi.org/10.1371/journal.pone.0165285.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Watanabe M, Yamaoka K, Yokotsuka M, Adachi M, Tango T. Validity and reproducibility of the FFQ (FFQW82) for dietary assessment in female adolescents. Public Health Nutr. 2011; 14:297-305.doi:10.1017/ S1368980010001618. Adachi M, Watanabe M, Yamaoka K, et al. [Validity and reproducibility of a food frequency questionnaire with 82-food items (FFQW82) for nutrition education]. Nihon Koshu Eisei Zasshi. 2010; 57:475-85.

  23. Van Lippevelde W, Verloigne M, De Bourdeaudhuij I, Brug J, Bjelland M, Lien N, et al. Does parental involvement make a difference in school-based nutrition and physical activity interventions? A systematic review of randomized controlled trials. Int J Public Health. 2012;57:673–8. https://doi.org/10.1007/s00038-012-0335-3.

    Article  PubMed  Google Scholar 

  24. Janicke DM, Steele RG, Gayes LA, Lim CS, Clifford LM, Schneider EM, et al. Systematic review and meta-analysis of comprehensive behavioral family lifestyle interventions addressing pediatric obesity. J Pediatr Psychol. 2014;39:809–25. https://doi.org/10.1093/jpepsy/jsu023.

    Article  PubMed  Google Scholar 

  25. Patino-Fernandez AM, Hernandez J, Villa M, Delamater A. School-based health promotion intervention: parent and school staff perspectives. J Sch Health. 2013;83:763–0. https://doi.org/10.1111/josh.12092.

    Article  PubMed  Google Scholar 

  26. Kitzmann KM, Dalton WT, Stanley CM, Beech BM, Reeves TP, Buscemi J, et al. Lifestyle interventions for youth who are overweight: a meta-analytic review. Health Psychol. 2010;29:91–101. https://doi.org/10.1037/a0017437.

    Article  PubMed  Google Scholar 

  27. Edwardson CL, Gorely T. Parental influences on different types and intensities of physical activity in youth: a systematic review. Psychol Sport Exerc. 2010;11:522–35. https://doi.org/10.1016/j.psychsport.2010.05.00.1.

    Article  Google Scholar 

  28. Watanabe J, Watanabe M, Yamaoka L, Adachi M, Nemoto A, Tango T. School-based lifestyle education involving parents for reducing subjective psychosomatic symptoms in Japanese adolescents: study protocol for a cluster randomised controlled trial. BMJ Open. 2018;8:e018938. https://doi.org/10.1136/bmjopen-2017-018938.

    Article  PubMed  PubMed Central  Google Scholar 

  29. The Minister of Health, Labour and Welfare. Overview of the Dietary Reference Intakes for Japanese (2020) https://www.mhlw.go.jp/content/10900000/000862500.pdf. Accessed 12 Dec 2021.

  30. Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: A systematic review. Maturitas. 2011;70(3):266–84. https://doi.org/10.1016/j.maturitas.2011.08.005.

    Article  PubMed  Google Scholar 

  31. The Minister of Health, Labour and Welfare. The National Health and Nutrition Survey in Japan, 2017. (In Japanese) https://www.mhlw.go.jp/content/000681194. pdf. Accessed 12 Dec 2021.

  32. Harrington D, D’Agostino RB, Gatsonis C, Hogan JW, Hunter DJ, Normand SLT, et al. New Guidelines for Statistical Reporting in the Journal. N Engl J Med. 2019;380:1706–15. https://doi.org/10.1056/NEJMe1906559.

    Article  Google Scholar 

  33. White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011; 30:377–99.

    Article  Google Scholar 

  34. Marion K, Campbell Diana R, Elbourne, Douglas G, Altman, CONSORT group. CONSORT statement: extension to cluster randomised trials. BMJ. 2004;328:702–8. https://doi.org/10.1136/bmj.328.7441.702.

    Article  Google Scholar 

  35. Duelli R, Kuschinsky W. Brain glucose transporters: relationship to local energy demand. News Physiol Sci. 2001; 16:71–6.

    CAS  PubMed  Google Scholar 

  36. Rampersaud GC, Pereira MA, Girard BL, Adams J, Metzl JD. Breakfast habits, nutritional status, body weight, and academic performance in children and adolescents. J Am Diet Assoc. 2005;105:743–60. https://doi.org/10.1016/j.jada.2005.02.007.

    Article  PubMed  Google Scholar 

  37. Kern S, Oakes TR, Stone CK, McAuliff EM, Kirschbaum C, Davidson RJ. Glucose metabolic changes in the prefrontal cortex are associated with HPA axis response to a psychosocial stressor. Psychoneuroendocrinology. 2008;33:517–29. https://doi.org/10.1016/j.psyneuen.2008.01.010.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Community Preventive Services Task Force. Improving adolescent health through interventions targeted to parents and other caregivers: a recommendation. Am J Prev Med. 2012;42:327–8. https://doi.org/10.1016/j.amepre.2011.11.009.

    Article  Google Scholar 

  39. Åvitsl A, Leibinger E, Resaland GK, Solberg RB, Kolle E, Dyrstad SM. Effects of school-based physical activity interventions on mental health in adolescents: The School in Motion cluster randomized controlled trial. Mental Health Physical Activity. 2020;19. https://doi.org/10.1016/j.mhpa.2020.100348.

  40. Spruit A, Assink M, van Vug E, van der Put C, Stams GJ. The effects of physical activity interventions on psychosocial outcomes in adolescents: A meta-analytic review. Clinical Psychology Review. 2016; 45:56–71. https://doi.org/10.1016/j.cpr.2016.03.006.

    Article  PubMed  Google Scholar 

  41. Laird N. Further comparative analyses of pretest-posttest research designs. Am Stat. 1983;37:329–30. https://doi.org/10.1080/00031305.1983.10483133.

    Article  Google Scholar 

  42. Bernadette M, Melnyk, Diana J, Belyea M, Shaibi G, Small L, et al. Promoting Healthy Lifestyles in High School Adolescent A Randomized Controlled Trial. Am J Prev Med. 2013;45:407–15. https://doi.org/10.1016/j.amepre.2013.05.013.

    Article  Google Scholar 

  43. Lindgvist AK, Kostenius C, Gard G, Rutberg S. Parent participation plays an important part in promoting physical activity. Int J Qual Stud Health Well-being. 2015. https://doi.org/10.3402/qhw.v10.27397.

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank the Board of Education at the prefecture and municipal, principal, schoolteachers, registered dietitians, and all participants for their participation in this scientific project.

Funding

This study was predominantly funded by the Academic Research Community Contribution Miyazaki City Grants in 2017 and JSPS KAKENHI Grant Number JP18K11064, obtained by JW. The funding sources played no role in the design of the study and were not involved in data collection, data analysis, interpretation of the results, or writing of the manuscript.

Author information

Authors and Affiliations

  1. The Department of Nutrition Management, Minami Kyushu University, Miyazaki, Japan

    Junko Watanabe

  2. Showa Women’s University, Tokyo, Japan

    Mariko Watanabe

  3. Teikyo University Graduate School of Public Health, 2-11-1, Kaga Itabashi-ku, 1738605, Tokyo, Japan

    Kazue Yamaoka, Asuka Suzuki & Visiting Professor

  4. Nutrition Support Network LLC, Kanagawa, Japan

    Misa Adachi

  5. Center for Medical Statistics, Tokyo, Japan

    Toshiro Tango

Authors
  1. Junko Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mariko Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kazue Yamaoka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Misa Adachi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Asuka Suzuki
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Toshiro Tango
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Visiting Professor
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JW, MW, KY, MA and TT were responsible for designing the research questions and drafted the study protocol. JW, MW, KY and AS were responsible for data management. JW and MW were responsible for management of dietary education. KY, TT and AS were responsible for statistical analyses. JW and KY wrote the first draft of this paper. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kazue Yamaoka.

Ethics declarations

Ethics approval and consent to participate

Statement on ethics approval and consent and the name of the ethics committee: The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethical Review Board of the Medical Ethical Committee of Minami Kyushu University in 2017 (Number 137).

Informed Consent Statement: Written informed consent was obtained from all participants, including both students and their parents/guardians.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Watanabe, J., Watanabe, M., Yamaoka, K. et al. Effects of ‘SPRAT’ programme for dietary and lifestyle education to improve psychosomatic symptoms and dietary habits among adolescents: a cluster randomised controlled trial. BMC Public Health 22, 461 (2022). https://doi.org/10.1186/s12889-022-12832-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-022-12832-7

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us