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Promoting hEalthy Diet and Active Lifestyle (PEDAL): a protocol for the development and feasibility study of a multicomponent intervention among primary school children in Singapore

Abstract

Background

Setting healthy lifestyle habits during the formative years of childhood is critical as habits can track to adulthood and help prevent obesity and chronic disease risks in later life. While multicomponent interventions have been shown to be effective in changing the lifestyle behaviours of children, there is a limited understanding of the feasibility of such interventions in primary schools in Singapore. A multiphase mixed method study was conducted to develop and examine the feasibility of a theory-based multicomponent school-based intervention—Promoting hEatlthy Eating and Active Lifestyle (PEDAL).

Methods

Underpinned by Kincaid’s ideation model, the PEDAL intervention was developed to increase fruit and vegetable consumption and decrease sedentary behaviours among children. This study consists of three phases. Phase 1 details the development of PEDAL, which consists of four components: (A) a series of interactive health education lessons, (B) actionable home activities to support habit formation, (C) parental/guardian engagement, and (D) optimising the school environment. In Phase 2, components A and B of PEDAL were implemented in two public, co-educational primary schools among Primary 5 students (aged 10–12 years) in Singapore. Data was collected quantitatively using questionnaires and qualitatively using focus group discussions (FGDs) with students and teachers. The feasibility dimensions of components A and B, including recruitment capability, data collection, social validity, and practicality were examined, and ideation on healthy eating and physical activity was explored. In Phase 3, the full PEDAL intervention was pilot-tested in two other public, co-education primary schools with the same target population, using a concurrent mixed method quasi-experimental study design. Feasibility dimensions and potential effectiveness of the intervention will be assessed.

Discussion

This study will provide insights into the feasibility of PEDAL and inform its refinement. Findings from the pilot test will guide the planning of a larger-scale definitive trial.

Trial registration

Registered with ISRCTN registry (ISRCTN16114046) on 16 October 2022.

Peer Review reports

Background

Adolescence, defined by WHO as ages between 10 and 19 years, is one of the most rapid, dynamic, and formative phases of human development [1]. It provides a window of opportunity for establishing healthy lifestyle habits that can track to adulthood [2, 3]. Yet, increasing evidence indicates that, globally, older children and adolescents do not meet dietary and movement behaviour (comprising physical activity, sedentary behaviour, and sleep) guidelines, thus contributing to the obesity epidemic [3, 4]. This is of concern as childhood obesity strongly predicts adult obesity and is associated with health problems such as diabetes and cardiovascular diseases [5,6,7]. Obese children also tend to have lower levels of self-esteem, a higher prevalence of depressive symptoms, and be socially marginalised with conditions persisting into adulthood [8, 9]. Recent evidence indicated an accelerated trend in children’s and adolescents’ BMI in parts of Asia [10]. The prevalence of overweight among children and adolescents (age 5–19 years) in Singapore stands at 22% in 2021, ranking third highest in the ASEAN region [11].

In Singapore, a significant proportion of primary school children were found not meeting healthy behaviour guidelines [12]. Many had diets that were lacking in fruits, vegetables, and whole grains while high in sodium and added sugar [12, 13]. The recent national Report Card on physical activity level among children and adolescents reported that only 44% and 41% of children and adolescents met the moderate-to-vigorous physical activity (MVPA) guidelines of at least 60 min daily and the recreational screen time guidelines of ≤120 min, respectively [14]. To improve children’s eating and movement behaviours, schools have been a popular means due to their potential for mass reach [15] and cost-effectiveness [16]. Recent evidence suggests that school-based interventions should be multicomponent to be effective in changing lifestyle behaviours. This means targeting more than one lifestyle behaviour simultaneously, plus engaging the family and providing environmental support [17,18,19]. This aligns with empirical evidence that lifestyle behaviours tend to cluster (e.g. the clustering of poor dietary habits and low levels of physical activity), indicating that a single behaviour change does not necessarily result in an overall healthy lifestyle [20].

While school-based lifestyle interventions with a multicomponent design have been conducted in Asia and Singapore, there is a paucity of published studies on the effectiveness of these interventions on obesity outcome measures (e.g. body mass index, waist circumference) [21,22,23]. Findings were also reported to be mixed [21, 22]. While some studies found substantial effects on health knowledge and lifestyle behaviours, behavioural outcomes were not often reported [21, 22]. Furthermore, as intervention effectiveness has shown to vary by context, information on the real-world adoption, implementation, and sustainability of multicomponent school-based interventions is lacking in the Asian context [21, 24]. Using a theory-based intervention and testing the programme theory will help understand probable “active ingredients” that make the intervention effective [1, 19]. Thus, a multiphase mixed method study was conducted to develop and examine the feasibility of a theory-based multicomponent school-based intervention—Promoting hEalthy Eating and Active Lifestyle (PEDAL) in Singapore. This study consists of three phases: a development phase (Phase 1) and two feasibility phases (Phases 2 and 3) as detailed in Fig. 1. Briefly, Phase 1 focused on the development of the intervention content, materials, and activities, while Phase 2 examined the feasibility of implementing the interactive health education lessons (Component A) and home activities (Component B) and explored ideation on healthy eating and physical activity. In Phase 3, a pilot study was conducted to examine the feasibility and potential effectiveness of the whole PEDAL intervention. This paper is reported according to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines [25] (Additional File 1). Findings from this study will provide critical information on the refinement of the intervention before the conduct of a definitive trial to determine the effectiveness of the intervention.

Fig. 1
figure 1

Description of the multiphase mixed method study to develop and test the PEDAL intervention

Methods

Phase 1: Development of PEDAL

The specific aims of PEDAL are to increase fruit and vegetable intake, increase time spent on MVPA, and decrease sedentary time spent. PEDAL is underpinned by Kincaid’s ideation model, a metatheory of health communication that posits that successful interaction between resources, environment, and ideation factors would lead to behaviour change [26]. In this model, ideational factors are grouped into three domains: cognitive, emotional, and social determinants of behaviour, and the likelihood of practising a recommended behaviour increases when more factors from the three domains apply to an individual [27, 28].

Based on current literature and previous work by the team [19, 20, 29,30,31], factors that can potentially influence children’s healthy eating and activity behaviours include knowledge, home and school environment, attitudes, self-efficacy, emotional response, social norms and support, behavioural intentions, and habit strength. With this knowledge, a programme theory was developed for the intervention (Fig. 2), with four key components targeting these factors. The four components include a series of interactive health education lessons (Component A), actionable home activities to support habit formation (Component B), involving parents or guardians (Component C), and optimising the school environment to support and reinforce healthy eating and lifestyle behaviours (Component D). Details of these components are described below and summarised in Table 1.

Fig. 2
figure 2

Illustration of the programme theory for the PEDAL intervention

Table 1 Summary of intervention components and behaviour change techniques and constructs applied

An advisory committee comprising experienced health and education professionals from the Ministry of Education (MOE), the Health Promotion Board (HPB), the National Institute of Education, and the Saw Swee Hock School of Public Health was formed to provide guidance and input towards the development of PEDAL.

Component A: Interactive health education lessons

Consisting of five interactive face-to-face lessons, the PEDAL health education lessons were developed to cover topics on healthy eating, reducing sedentary behaviours, and habit formation (see link for introductory video: https://bit.ly/pedal-intro, and Table 2 for a summary of lesson topic and content). The concept of habit formation was included as increasing evidence has demonstrated that habit is a more important predictor of a behaviour (e.g. fruit and vegetable consumption) than intentions [33, 34] and the need to identify contingency plans that help support existing habits [35]. Adapting the concept from a habit-based healthy feeding intervention [36], students were taught to incorporate strategies such as goal setting, self-monitoring (through understanding triggers and circumstances), and self-efficacy in the PEDAL lessons. To help facilitate students’ goal setting, which provides a starting point for making specific behavioural changes, students received feedback on their lifestyle behaviours based on their baseline lifestyle behaviour data collected. To reduce sedentary time, health education lessons, typically conducted with seated students, were modified to incorporate standing and movement activities during lessons to break up sitting time [37]. This approach has the triple benefits of reducing students’ sitting time, teaching them the concept of reducing sedentary behaviour as well as being more interactive, to better engage the students and change their perception of health education lessons.

Table 2 Topics covered in the health education lessons

Component B: Actionable home activities and incentives to support habit formation

Children’s automaticity or habit in behaviour often arises from the repetition of behaviours in a stable context [38]. To encourage sustained behavioural change and form habits, students were given home activities to complete. These consisted of individual-led tasks or tasks to be completed with their friends, family members, or guardians at their own pace. They aimed to develop students’ skills and self-efficacy in achieving set behavioural goals by targeting cognitive domains of knowledge and understanding and skill domains such as functional, interactive, and critical skills [39]. Examples of tasks include identifying three nutrient-dense foods, learning from parents how to prepare fruits independently, engaging in physical activity with their family, and executing the diet and movement habit plans students set for themselves. The home activities, presented on a card (PEDAL card, see Additional File 3 for snapshot), were introduced to students during the health education lessons, and students were given at least 6 weeks to complete the activities.

Students were encouraged to complete and repeat these activities through the collection of points. They were awarded a badge of honour (Bronze, Silver, Gold) by the end of the intervention through the accumulation of a certain number of points. Previous fruit and vegetable intervention studies have demonstrated that using small incentives is an effective way to encourage children to eat fruits and vegetables, and these induced changes persisted (at least 2 months after), even when incentives are no longer offered [40].

Component C: Parental/guardian engagement

According to current evidence, school-based interventions directly engaging parents are more effective than indirect strategies such as intervention-related newsletters [41]. Schools were encouraged to share feedback on students’ lifestyle behaviours with parents for this component. After completing all five teaching lessons, teachers shared the lesson video links with parents through the parent communication application. This serves to inform parents of their children’s lifestyle behavioural statuses and the health education concepts taught during the lessons and garner their support for their children’s participation in the intervention. As previously mentioned, a proportion of home activities were designed to encourage parental/family involvement so that children make behavioural changes with the support of at least one family member. Additionally, children were required to seek acknowledgement from their parents upon completing various activities, allowing parents to be aware of their children’s tasks and provide the necessary support.

Component D: Optimise school environment

There is strong evidence to demonstrate that intervening through education and environmental changes on both dietary and movement behaviours would enable sustainable and long-term behaviour change [42]. Hence, we planned to enhance children’s affective attitudes towards fruits and vegetables and reduce sedentary time by gamifying healthy eating and experiential learning through school-level-wide activities [34, 43]. With the help of the school’s Parent Support Group (PSG) and in collaboration with the Singapore Health Promotion Board, mini-games with different themes (e.g. guessing the fruit and vegetables through touch and smell, activity ideas/competition for breaking up sitting time, and a healthy lifestyle quiz) were conducted over at least two 30-min recess breaks during the intervention period. Students were awarded small tokens for completing the games.

Concomitantly, we worked with canteen vendors to develop practical and economical solutions to optimise the school food environment and reinforce the value of the current Healthy School Meals Programme (HSMP) [44]. For example, using choice architecture, such as the placement of foods and posters as cues, to remind students to ask for vegetables and take a portion of fruit. Needs assessments, through interviews, were conducted before the intervention commenced in both schools to help decide on practical solutions to optimise the canteen environment.

Phase 2: Feasibility of PEDAL components A and B

Objectives

The objectives of this phase were to examine the feasibility of implementing components A and B of PEDAL and explore the experiences of ideation to confirm the intervention’s programme theory. Both qualitative and quantitative methods were used for this study. The findings from this phase informed the refinement of these two components and the evaluation tools used in Phase 3.

Key measures

Feasibility

Data were collected to assess five feasibility dimensions delineated by Gadke et al. [45]: recruitment capability, data collection procedures, social validity, practicality, and implementation. The recruitment capability dimension assesses the capability of successfully recruiting study participants in our study. Data collection procedures examine the appropriateness of data collection procedures and tools. Social validity assesses participants’ acceptability and satisfaction with the intervention. Practicality examines whether it is practical to implement the intervention with the available resources, time, training, and materials. Lastly, the implementation dimension examines the implementation fidelity. Progression criteria for each feasibility dimension were also pre-determined, guiding the decision and actions from Phases 2 to 3. Details of the feasibility dimensions and the progression criteria are shown in Table 3.

Table 3 Feasibility dimensions, questions, measures and progression criteria for Phases 2 and 3a

Exploring ideation on healthy eating and physical activity

To confirm the feasibility of the programme theory, ideation on healthy eating and physical activity was explored using qualitative methods. Focus group discussions (FGDs) were conducted at the end of the intervention with students who participated and teachers who delivered the lessons. During the FGD, ideation factors that drive or impede healthy eating and physical activity among children and how components A and B influenced these ideation factors were explored. The findings from this will also inform the appropriateness of measuring the ideation variables in the questionnaire.

Setting and participants

Upon completion of the intervention prototype, two co-educational public schools in Singapore were recruited by convenience sampling to implement components A and B (health education lessons and home activities) of PEDAL. Co-educational public schools were selected as these were the most common type of primary schools in Singapore. The participants were students from the Primary 5 level, typically aged between 10 and 11 years old, from each school. This age group was chosen based on previous research that found that children aged 10 and above were capable of independently recalling and reporting their past activities [13, 46]. Two schools were selected for the pilot test as the required sample size to establish feasibility was calculated to be 385. This was calculated using a confidence interval (CI) approach [47], with a 95% CI, a margin of error of 0.05, and an expected completion rate of 50% based on our previous experience conducting research studies in primary school. Given that a primary school typically consists of six to eight classes of 40 students per level, the recruitment of two schools will meet the required sample size calculated. As the intervention posed minimal risk and was conducted as part of the school's Physical and Health Education curriculum, all Primary 5 students in the two selected schools were eligible to participate.

Both components, A and B, were delivered by each school’s Primary 5 Physical Education (PE) teachers. Training and lesson materials (e.g. slides, videos, home activity instructions, activity booklets for students, and teacher’s guide) were provided by the research team to the PE teachers before the intervention commenced. PE teachers from each school were given 8 weeks to complete the delivery of all the lessons and activities during the weekly 30-min health education lessons. Consent was obtained from teachers for delivering the intervention and parents regarding data collection from their children. Students whose parents or guardians did not provide consent for data collection were allowed to attend the lesson but were not included in the data collection.

Data collection

Figure 3 depicts the data collection timeline. Data collection was conducted at two-time points for students—before the intervention commences and after the intervention period. At pre-intervention, demographic information, such as age and gender, and the baseline behaviours and psychosocial factors were collected from students using a questionnaire (“Main questionnaire”). At post-intervention, students completed the post-intervention main questionnaire (consisting of the same questions as in pre-intervention) and a short feedback survey and were invited to participate in an FGD. Teachers also completed a feedback survey after delivering each lesson. All data collected were delinked from their personal information and replaced with a unique code.

Fig. 3
figure 3

Data collection timeline in Phase 2 and Phase 3

Main questionnaire

This questionnaire consisted of questions to assess student’s knowledge; ideation factors (attitudes, perceived norms, self-efficacy, social support); and environment related to healthy eating and physical activity. These questions were adapted from validated questionnaires [48, 49]. Behavioural outcomes, such as intentions, habit strength, fruit and vegetable intakes, and physical activity and sedentary time spent, were also captured using the main questionnaire. Details on behavioural outcomes questions are described in the next section.

Feedback surveys

Student’s feedback survey consisted of questions on their acceptance (e.g. “I like this style of health education lessons.”) and satisfaction (e.g. “I understood what was taught in the lessons.”, “The lessons have made me more interested to eat healthily and be physically active.”) of the intervention. Teacher’s feedback surveys consisted of a checklist of activities implemented during the lesson, their satisfaction with the instructions provided in the teacher’s guide, their acceptance of facilitating this interactive format of health education lesson, etc.

Focus group discussions (FGD)

Two groups of four to six students who participated in the intervention and a group of at least six teachers who delivered the intervention were selected to participate in the FGD from each school. Semi-structured topic guides were used in the FGDs, which included questions to explore healthy eating and physical activity ideation among students and in-depth feedback on the intervention implementation. The topic guide for FGDs with students focused more on exploring ideation, while FGDs with teachers focused more on the implementation.

Data analysis

Descriptive statistics were tabulated using frequencies, means, and standard deviations from the quantitative data (e.g. recruitment and participation rates, acceptability and satisfaction rates, online questionnaires) separately for pre-intervention and post-intervention data. Responses from the main questionnaire were examined for ceiling effect. Qualitative data from FGDs were transcribed and analysed using applied thematic analysis, both inductively and deductively [50], to explore the implementation of components A and B and ideation.

The findings and feedback from this phase informed the refinement of the intervention for Phase 3, including extending the intervention period, having more interactive time in class, rephrasing some questions for clarity, and modifying the response options of diet and movement outcomes to capture these behaviours with minimal ceiling effects better. Reported results from Phase 2 will be published separately.

Phase 3: Pilot testing of the whole PEDAL intervention

Objectives

A pilot study was conducted in Phase 3 to assess the feasibility of the whole PEDAL intervention (components A to D) and explore the potential effectiveness to inform the planning for a future large-scale definitive trial. A concurrent mixed methods quasi-experimental study design was used for this pilot study. Figure 4 illustrates the enrolment, intervention components, and assessment schedule for Phase 3.

Fig. 4
figure 4

Schedule of enrolment, interventions, and assessments of the pilot study

Key measures

Feasibility

Similar to Phase 2, the five feasibility dimensions were assessed with the addition of a sixth dimension, potential effectiveness, which examines if there is preliminary evidence that the intervention has the potential to bring about positive behaviour change. Changes in behavioural outcomes will also be explored to inform the decision-making of the primary outcome and power calculation for a subsequent larger definitive trial. Additionally, FGDs will be conducted with students and teachers to explore any perceived behaviour improvements among the students. With the addition of components C and D, additional measures were also collected from canteen vendors and parents and on the class and canteen environments. Details of the feasibility dimensions and the progression criteria to the next phase (future definitive trial) are described in Table 3.

Behavioural outcomes

  1. (1)

    Diet and movement behaviours: Key dietary behaviours to be assessed include fruit and vegetable intakes (in servings per day), while movement behaviours will include time spent on sedentary activities and physical activities (in minutes per day). Students will be asked to report, via a questionnaire, their frequency and usual portion size of their fruit and vegetable intakes in the past week, as well as the time spent on moderate-to-vigorous physical activity (MVPA) and sedentary activities (using screen time as a proxy) in the past week. In addition, students will also complete a 3-day activity record on a web-based application (MEDAL), which was developed by the research team [13] and previously validated against self-reported intakes of school meals [51] and wrist-worn accelerometers [52], to complement the data obtained from the questionnaire.

  2. (2)

    Behavioural intentions: Five items will be used to assess students’ intentions to meet the daily recommended guidelines for fruit intake, vegetable intake, physical activity, and spending less time on sedentary activities in the next three months. A 5-point Likert scale (1, not true for me at all to 5, very true of me) will be used to assess these questions.

  3. (3)

    Habit strength: To assess change in the behavioural habits among students, four items will be used to measure the habit strength in each lifestyle behaviour (i.e. fruit intake, vegetable intake, physical activity, sedentary behaviour). The questions will be adapted from past validated questionnaires [53, 54].

  4. (4)

    Health-related quality of life: In Phase 3, the study will also assess changes in children’s health-related quality of life as previous research has shown that improvements in diet and physical activity levels can contribute to improvements in health-related quality of life in children (HRQoL) (63, 64). As this intervention aims to change children’s lifestyle behaviours, we are interested in examining whether the intervention affects children’s HRQoL. KINDL-Kid (65, 66), which comprised 24 items and six subscales (physical health, general health, family functioning, self-esteem, social function, and school functioning), will be used to measure HRQoL in this study.

Setting and participants

The setting, selection of schools, and participants for this pilot study followed the same procedures as Phase 2. However, two other schools were approached to participate in this study. The ideal number of participants for this phase was 385 students, following the same calculation in Phase 2.

Based on the feedback from Phase 2, more time was needed to complete the series of health education lessons in addition to the scheduled physical and health education lessons. Therefore, the schools in this pilot study were given 12 weeks to complete all the lessons and activities. Like Phase 2, consent was obtained from teachers for delivering the intervention and parents regarding data collection from their children. Students whose parents or guardians did not provide consent for data collection were allowed to attend the lesson without any data collected from them.

Data collection

The data collection timeline for this phase is illustrated in Fig. 3. Data collection for Phase 3 was similar to Phase 2 with the addition of a mid-intervention, a 6-month post-intervention data collection, and additional measures collected from parents and canteen vendors.

The instruments used for quantitative measurements in Phase 3 were largely similar to those used in Phase 2, with some refinements made to the phrasing and response options in the main questionnaire. A feedback survey for parents was also developed to assess parent’s feedback on the lesson videos and home activities. An observation checklist of the canteen environment was also developed to examine the availability of healthier choices, the canteen vendor’s compliance with the Healthy Meals in School Programme guidelines [44], the interaction between canteen vendors and students, etc.

The selection of participants for the focus groups was the same as in Phase 2. Different semi-structured topic guides were developed for Phase 3 to assess the extent of students’ and teachers’ awareness and knowledge retained from the PEDAL lessons, collect feedback on the whole PEDAL intervention, and explore perspectives on behaviour change and habit formation in students. For the short interviews with canteen vendors, guiding questions were developed to explore their perspective of the school food environment and perceived changes among students after the intervention. All data collected were delinked from their personal information and replaced with a unique code.

Data analysis

Descriptive statistics from the quantitative data for the recruitment capability, data collection procedures, and social validity dimensions will also be presented separately for pre-intervention and post-intervention data in this phase. Pre-post intervention comparisons of the behavioural outcomes will be assessed using appropriate statistical analyses (e.g. paired t-test for normally distributed variables and Wilcoxon signed rank test for variables with non-parametric distributions). Pre- and post-intervention ideation scores for healthy eating and physical activity, derived from the composite of the ideation variable scores, will be compared. Regression analyses will be conducted to examine the associations between ideation scores and behavioural outcomes.

Similar to Phase 2, qualitative data from FGDs and interviews will be transcribed and analysed using applied thematic analysis [50], to answer the research questions for the social validity, practicality, implementation, and (perceived) potential effectiveness dimensions. When possible, both quantitative and qualitative data will be integrated and reported for the feasibility evaluation.

Dissemination strategy

Findings from this study will be disseminated to key stakeholders, such as MOE, HPB, the schools, and the parents of children who participated in the study. Findings from this study will be disseminated through at least two publications and will form part of the theses for a PhD student and a Master’s student. The improved version of intervention materials will also be shared with MOE for use as future resources for health education lessons.

Discussion

Multiple health promotion programmes have been conducted in local public schools to improve children’s diet and movement behaviours; however, these interventions tend to be of a single component [14, 21]. With the growing body of literature demonstrating the effectiveness of multicomponent interventions, there is a need for multicomponent interventions to support healthy behaviour change among children in Singapore. However, information on the feasibility and acceptability of multicomponent interventions in Singapore is lacking. To our knowledge, this is the first study detailing the development and testing of a theory-driven multicomponent and school-based educational intervention among primary school children that targets both dietary and movement behaviours of children on the individual, interpersonal and environmental levels.

This study seeks to identify probable “active ingredients” of the intervention and understand the factors leading to a successful implementation of a multicomponent school-based intervention through the pilot testing of the PEDAL intervention. However, it should be noted that only two schools were recruited for the feasibility and pilot testing phase of the study which means that the findings may not be generalisable to all schools in Singapore or all co-educational public schools. As funding and resource constraints limited our ability to recruit more schools, only two schools underwent the intervention, and a pretest-posttest design was used. A limitation of such design is that it limits our certainty of how the outcomes might change in the absence of the intervention. Therefore, findings on the potential effectiveness should be interpreted with caution, and a larger-scale definitive trial (e.g. a randomised controlled trial (RCT)) should be conducted to assess the effectiveness of this intervention.

Study status

The study is prospectively registered with the ISRCTN registry (ISRCTN16114046). The development of PEDAL commenced in April 2021, and the prototype was developed in December 2021 before feasibility was examined (Phase 2). Phase 2 was completed in November 2022, and the manuscript is currently being prepared for submission. The intervention materials were refined in December 2022 for the pilot test (Phase 3). The pilot intervention was completed in November 2023, and data analysis is underway.

Availability of data and materials

The datasets generated during and/or analysed during the current study will be available upon request from Dr Mary Chong after publication.

References

  1. World Health Organization. Global accelerated action for the health of adolescents (AA-HA!): guidance to support country implementation. 2017. https://www.who.int/publications/i/item/9789241512343. Accessed 3 Mar 2023.

  2. Kelishadi R. Life-cycle approach for prevention of non communicable disease. Cham: Springer International Publishing; 2019.

    Book  Google Scholar 

  3. World Health Organization. Report of the commission on ending childhood obesity-implementation plan: executive summary. 2017. https://iris.who.int/handle/10665/259349. Accessed 23 Mar 2023.

  4. Rezende LFM, Rodrigues Lopes M, Rey-López JP, Matsudo VKR, Luiz OC. Sedentary behavior and health outcomes: an overview of systematic reviews. PloS one. 2014;9(8):e105620.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Emmett PM, Jones LR. Diet, growth, and obesity development throughout childhood in the Avon Longitudinal Study of Parents and Children. Nutr Rev. 2015;73(suppl_3):175–206.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes. 2011;35(7):891–8.

    Article  CAS  Google Scholar 

  7. McMullen S. Childhood obesity: the impact on long-term risk of metabolic and CVD is not necessarily inevitable. Proc Nutr Soc. 2014;73(3):389–96.

    Article  PubMed  Google Scholar 

  8. Morrison KM, Shin S, Tarnopolsky M, Taylor VH. Association of depression & health related quality of life with body composition in children and youth with obesity. J Affect Disord. 2015;172:18–23.

    Article  PubMed  Google Scholar 

  9. Beck AR. Psychosocial aspects of obesity. NASN School Nurse. 2016;31(1):23–7.

    Article  PubMed  Google Scholar 

  10. Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128· 9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.

    Article  Google Scholar 

  11. ASEAN, UNICEF, WFP. ASEAN Food and Nutrition Security Report 2021. Jakarta: UNICEF; 2022.

    Google Scholar 

  12. Brownlee IA, Low J, Duriraju N, Chun M, Ong JXY, Tay ME, et al. Evaluation of the Proximity of Singaporean Children’s Dietary Habits to Food-Based Dietary Guidelines. Nutrients. 2019;11(11):2615.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Chia A, Chew MNJS, Tan SYX, Chan MJ, Colega MT, Toh JY, et al. A web-based time-use application to assess diet and movement behavior in Asian schoolchildren: development and usability study of My E-Diary for Activities and Lifestyle (MEDAL). J Med Internet Res. 2021;23(6):e25794.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Tay Z, Chen B, Kui KY, Padmapriya N, Chong MF-F, Müller AM, et al. Results from the Singapore 2022 report card on physical activity for children and adolescents. J Exerc Sci Fit. 2023;21(1):20–5.

    Article  PubMed  Google Scholar 

  15. Dudley DA, Cotton WG, Peralta LR. Teaching approaches and strategies that promote healthy eating in primary school children: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2015;12(1):28.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Graziose MM, Koch PA, Wang YC, Gray HL, Contento IR. Cost-effectiveness of a nutrition education curriculum intervention in elementary schools. J Nutr Educ Behav. 2017;49(8):684–91 e1.

    Article  PubMed  Google Scholar 

  17. Kelishadi R, Azizi-Soleiman F. Controlling childhood obesity: a systematic review on strategies and challenges. J Res Med Sci: Off J Isfahan Univ Med Sci. 2014;19(10):993.

    Google Scholar 

  18. Wang Y, Cai L, Wu Y, Wilson RF, Weston C, Fawole O, et al. What childhood obesity prevention programmes work? A systematic review and meta-analysis. Obes Rev. 2015;16(7):547–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Verjans-Janssen SR, van de Kolk I, Van Kann DH, Kremers SP, Gerards SM. Effectiveness of school-based physical activity and nutrition interventions with direct parental involvement on children’s BMI and energy balance-related behaviors–a systematic review. PLoS One. 2018;13(9).

  20. McMinn AM, Griffin SJ, Jones AP, van Sluijs EM. Family and home influences on children’s after-school and weekend physical activity. Eur J Public Health. 2013;23(5):805–10.

    Article  PubMed  Google Scholar 

  21. Uijtdewilligen L, Waters C, Müller-Riemenschneider F, Lim Y. Preventing childhood obesity in Asia: an overview of intervention programmes. Obes Rev. 2016;17(11):1103–15.

    Article  CAS  PubMed  Google Scholar 

  22. Pongutta S, Ajetunmobi O, Davey C, Ferguson E, Lin L. Impacts of school nutrition interventions on the nutritional status of school-aged children in Asia: a systematic review and meta-analysis. Nutrients. 2022;14(3):589.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Foo LL, Vijaya K, Sloan RA, Ling A. Obesity prevention and management: Singapore’s experience. Obes Rev. 2013;14:106–13.

    Article  PubMed  Google Scholar 

  24. Cassar S, Salmon J, Timperio A, Naylor PJ, van Nassau F, Contardo Ayala AM, et al. Adoption, implementation and sustainability of school-based physical activity and sedentary behaviour interventions in real-world settings: a systematic review. Int J Behav Nutr Phys Act. 2019;16(1):120.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kincaid DL, Delate R, Storey D, Figueroa ME. Closing the gaps in practice and in theory. Public Commun Campaigns. 2012;305:305–19.

    Google Scholar 

  27. Ricotta EE, Boulay M, Ainslie R, Babalola S, Fotheringham M, Koenker H, et al. The use of mediation analysis to assess the effects of a behaviour change communication strategy on bed net ideation and household universal coverage in Tanzania. Malaria J. 2015;14(1):1–8.

    Article  Google Scholar 

  28. Figueroa ME. A theory-based socioecological model of communication and behavior for the containment of the Ebola epidemic in Liberia. J Health Commun. 2017;22(sup1):5–9.

    Article  PubMed  Google Scholar 

  29. Chan MJ, Tay GWN, Kembhavi G, Lim J, Rebello SA, Ng H, et al. Understanding children’s perspectives of the influences on their dietary behaviours. Public Health Nutr. 2022;1-11.

  30. Tay GWN, Chan MJ, Kembhavi G, Lim J, Rebello SA, Ng H, et al. Children’s perceptions of factors influencing their physical activity: a focus group study on primary school children. Int J Qual Stud Health Well-Being. 2021;16(1):1980279.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Yee AZ, Lwin MO, Ho SS. The influence of parental practices on child promotive and preventive food consumption behaviors: a systematic review and meta-analysis. Int J Behav Nutr Phys Activity. 2017;14(1):47.

    Article  Google Scholar 

  32. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.

    Article  PubMed  Google Scholar 

  33. Reinaerts E, de Nooijer J, Candel M, de Vries N. Explaining school children’s fruit and vegetable consumption: the contributions of availability, accessibility, exposure, parental consumption and habit in addition to psychosocial factors. Appetite. 2007;48(2):248–58.

    Article  PubMed  Google Scholar 

  34. List JA, Samek AS. The behavioralist as nutritionist: leveraging behavioral economics to improve child food choice and consumption. J Health Econ. 2015;39:135–46.

    Article  PubMed  Google Scholar 

  35. Hagger MS, Luszczynska A, De Wit J, Benyamini Y, Burkert S, Chamberland P-E, et al. Implementation intention and planning interventions in health psychology: recommendations from the Synergy Expert Group for research and practice. Psychol Health. 2016;31(7):814–39.

    Article  PubMed  Google Scholar 

  36. McGowan L, Cooke LJ, Gardner B, Beeken RJ, Croker H, Wardle J. Healthy feeding habits: efficacy results from a cluster-randomised, controlled exploratory trial of a novel, habit-based intervention with parents. Am J Clin Nutr. 2013;98(3):769–77.

    Article  CAS  PubMed  Google Scholar 

  37. Salmon J, Arundell L, Cerin E, Ridgers ND, Hesketh KD, Daly RM, et al. Transform-Us! cluster RCT: 18-month and 30-month effects on children’s physical activity, sedentary time and cardiometabolic risk markers. Br J Sports Med. 2022;57.

  38. Gardner B, Sheals K, Wardle J, McGowan L. Putting habit into practice, and practice into habit: a process evaluation and exploration of the acceptability of a habit-based dietary behaviour change intervention. Int J Behav Nutr Phys Activity. 2014;11(1):1-13.

  39. Doustmohammadian A, Omidvar N, Keshavarz-Mohammadi N, Abdollahi M, Amini M, Eini-Zinab H. Developing and validating a scale to measure Food and Nutrition Literacy (FNLIT) in elementary school children in Iran. PloS One. 2017;12(6):e0179196.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Loewenstein G, Price J, Volpp K. Habit formation in children: evidence from incentives for healthy eating. J Health Econ. 2016;45:47–54.

    Article  PubMed  Google Scholar 

  41. Langford R, Bonell C, Jones H, Campbell R. Obesity prevention and the health promoting schools framework: essential components and barriers to success. Int J Behav Nutr Phys Activity. 2015;12(1):15.

    Article  Google Scholar 

  42. De Bourdeaudhuij I, Van Cauwenberghe E, Spittaels H, Oppert JM, Rostami C, Brug J, et al. School-based interventions promoting both physical activity and healthy eating in Europe: a systematic review within the HOPE project. Obes Rev. 2011;12(3):205–16.

    Article  PubMed  Google Scholar 

  43. Rathi N, Riddell L, Worsley A. Perceptions of eating and food preparation behaviours for urban private school students in India. Child Adolesc Obes. 2020;3(1):42–56.

    Article  Google Scholar 

  44. Health Promotion Board Singapore. Healthy Meals in Schools Programme. 2021. https://www.hpb.gov.sg/schools/school-programmes/healthy-meals-in-schools-programme. Accessed 23 Mar 2023.

    Google Scholar 

  45. Gadke DL, Kratochwill TR, Gettinger M. Incorporating feasibility protocols in intervention research. J School Psychol. 2021;84:1–18.

    Article  Google Scholar 

  46. Foster E, Adamson A. Challenges involved in measuring intake in early life: focus on methods. Proc Nutr Soc. 2014;73(2):201–9.

    Article  PubMed  Google Scholar 

  47. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, et al. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010;10(1):1–10.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Dewar DL, Lubans DR, Morgan PJ, Plotnikoff RC. Development and evaluation of social cognitive measures related to adolescent physical activity. J Phys Activity Health. 2013;10(4):544–55.

    Article  Google Scholar 

  49. Dewar DL, Lubans DR, Plotnikoff RC, Morgan PJ. Development and evaluation of social cognitive measures related to adolescent dietary behaviors. Int J Behav Nutr Physical Activity. 2012;9(1):1–10.

    Article  Google Scholar 

  50. Guest G, MacQueen KM, Namey EE. Applied thematic analysis. Thousand Oaks: SAGE Publications, Inc.; 2012.

  51. Tan SYX, Chia A, Sugianto R, Tong HE, Ang IYH, Shek LP-C, et al. Validation of a web-based, time-use application to assess children’s school meal intakes: My E-Diary for Activities and Lifestyle (MEDAL). Nutrients. 2021;13(11):3790.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Tan SYX, Chia A, Natarajan P, Goh CMJL, Tai BC, Shek LP-C, et al. Validating My E-Diary for Activities and Lifestyle (MEDAL) to assess children’s movement behaviours: Oral Presentation A6. 1. Health Fit J Can. 2021;14(3).

  53. Albani V, Butler LT, Traill WB, Kennedy OB. Understanding fruit and vegetable consumption in children and adolescents. The contributions of affect, self-concept and habit strength. Appetite. 2018;120:398–408.

    Article  PubMed  Google Scholar 

  54. Verplanken B, Orbell S. Reflections on past behavior: a self-report index of habit strength 1. J Appl Soc Psychol. 2003;33(6):1313–30.

    Article  Google Scholar 

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Acknowledgements

We would like to express our gratitude to all the student interns (Tricia Wi, Alicia Soon, Vaidehi Dave, Vivien Ku, Chloe Toh, Rywene Ang, Nicholas Chua, and Marcus Toh) from Temasek Polytechnic who were involved in brainstorming and developing the intervention materials. We are also very grateful to all the schools, principals, and teachers who agreed to participate in this study and for their help in all logistical and operational matters.

Funding

This study was funded by the Singapore Ministry of Education (MOE) under the Education Research Funding Programme (DEV 02/21 MCFF) and administered by the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Singapore MOE and NIE NTU, Singapore.

Author information

Authors and Affiliations

Authors

Contributions

MFFC is the principal investigator of the study and secured funding for it. The study was conceived and designed by MFFC, CMJC, and ZJH with inputs from FM and MC. CMJC and a group of student interns developed the intervention materials with inputs from MFFC. This manuscript was drafted by CMJC and MFFC, and all authors reviewed, contributed, and approved the final draft.

Corresponding author

Correspondence to Mary Foong-Fong Chong.

Ethics declarations

Ethics approval and consent to participate

Ethical approval has been provided by the National University of Singapore Institutional Review Board (Ref: NUS-IRB-2021-640). Approval was also obtained from the Ministry of Education for the recruitment and collection of data in primary schools in Singapore (Ref: RP29-21 [12]). Permission was obtained from schools for the recruitment of their staff and students’ participation. As the intervention was conducted as part of the school curriculum, informed consent was not obtained from students for their participation. However, informed parental consent was obtained for students’ data to be collected and used in the research. Consent from teachers and parents was also obtained for their participation in the study.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents*.

Additional file 2.

Snapshots of developed videos and slides for health education lessons.

Additional file 3.

Snapshots of the home activity tasks.

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Chan, C.M.J., Müller-Riemenschneider, F., Chia, M.Y.H. et al. Promoting hEalthy Diet and Active Lifestyle (PEDAL): a protocol for the development and feasibility study of a multicomponent intervention among primary school children in Singapore. Pilot Feasibility Stud 10, 52 (2024). https://doi.org/10.1186/s40814-024-01479-3

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