- Open Access
Evidence, theory and context - using intervention mapping to develop a school-based intervention to prevent obesity in children
© Lloyd et al; licensee BioMed Central Ltd. 2011
Received: 27 October 2010
Accepted: 13 July 2011
Published: 13 July 2011
Only limited data are available on the development and feasibility piloting of school-based interventions to prevent and reduce obesity in children. Clear documentation of the rationale, process of development and content of such interventions is essential to enable other researchers to understand why interventions succeed or fail.
This paper describes the development of the Healthy Lifestyles Programme (HeLP), a school-based intervention to prevent obesity in children, through the first 4 steps of the Intervention Mapping protocol (IM). The intervention focuses on the following health behaviours, i) reduction of the consumption of sweetened fizzy drinks, ii) increase in the proportion of healthy snacks consumed and iii) reduction of TV viewing and other screen-based activities, within the context of a wider attempt to improve diet and increase physical activity.
Two phases of pilot work demonstrated that the intervention was acceptable and feasible for schools, children and their families and suggested areas for further refinement. Feedback from the first pilot phase suggested that the 9-10 year olds were both receptive to the messages and more able and willing to translate them into possible behaviour changes than older or younger children and engaged their families to the greatest extent. Performance objectives were mapped onto 3 three broad domains of behaviour change objectives - establish motivation, take action and stay motivated - in order to create an intervention that supports and enables behaviour change. Activities include whole school assemblies, parents evenings, sport/dance workshops, classroom based education lessons, interactive drama workshops and goal setting and runs over three school terms.
The Intervention Mapping protocol was a useful tool in developing a feasible, theory based intervention aimed at motivating children and their families to make small sustainable changes to their eating and activity behaviours. Although the process was time consuming, this systematic approach ensures that the behaviour change techniques and delivery methods link directly to the Programme's performance objectives and their associated determinants. This in turn provides a clear framework for process analysis and increases the potential of the intervention to realise the desired outcome of preventing and reducing obesity in children.
Over a very short timescale there has been a substantial increase in the proportion of children in the UK who are overweight  The Health Survey for England (2008) reported that 19% of girls and 18% of boys aged 11-15 were obese and 34% of girls and 33% of boys were overweight . The National Child Measurement Programme reported that by age 10-11 years (Year 6) one in three children were either overweight or obese . Being overweight in childhood is associated with adverse consequences including metabolic abnormalities, increased risk of Type II diabetes, and musculo-skeletal and psychological problems . Over 50% of obese children become obese adults  with significant health consequences .
Unfortunately there is currently little evidence that existing, school-based intervention programmes are effective in preventing or reducing obesity in children. In addition, most intervention programmes have not reported on their rationale, development, exact content, or method of implementation which further hampers our understanding about what works and why. In tackling childhood obesity, securing scientific information on what constitutes a healthy diet and an active lifestyle is only the first step. The second step, requiring an equally scientific approach, is to find methods of achieving behaviour change. The determinants of behaviours linked to obesity are complex and inevitably changing these behaviours is difficult and interventions are likely to be complex and multi-faceted. The 2008 MRC Framework for developing and evaluating complex interventions recommends that the mechanisms by which interventions work need to be made explicit during development  and such interventions need to be comprehensively described if they are to be replicable by others. This is important as it provides a basis for checking intervention fidelity, a necessary pre-requisite to understand efficacy. It also provides a basis for process analysis (relating mechanisms of change to outcomes) which can shed light on why complex interventions succeed or fail and how they can potentially be optimised.
Schools have the potential to play a critical role in the prevention of overweight and obesity. With their existing organisational, social and communication structures they provide opportunities for regular health education and for a health enhancing environment. They also enable the researcher to engage children and families across the social spectrum. In England, children attend a primary or junior school up to the age of 11, where they usually have one class teacher who teaches all subjects. This allows for joined up cross-curriculum activities and facilitates communication making both intervention and research in this setting particularly attractive.
The six main steps of IM (Figure 1) are: i) needs assessment; ii) detailed mapping of programme objectives and their behavioural and environmental determinants; iii) selecting techniques and strategies to modify the determinants of behaviour and the environment; iv) producing intervention components and materials; v) planning for adoption, implementation and sustainability; and vi) creating evaluation plans and instruments. IM uses behavioural theory and research evidence to develop specific learning and change objectives for the target population and to identify the personal and external determinants of these objectives. Theory and other considerations (e.g. stakeholder opinions, feasibility data) also guide the choice of intervention methods and strategies to achieve these objectives. We used a variety of methods to gather the appropriate information to enable us to produce a feasible and acceptable intervention that has the potential to change behaviours at a school, child and family level. These included literature reviews, discussions with stakeholders (teachers, head teachers, education advisors, local public health leads in physical activity and obesity) and experts in behavioural science and obesity research. We also carried out focus groups with children and interviews with parents and teachers during early pilot work to inform our selection of intervention techniques and strategies and to ensure that these remained feasible to deliver within normal school activities.
The following sections provide a summary of the first 4 steps of the IM process used to produce the HeLP intervention. Steps 5 and 6 involve programme implementation, adoption, monitoring and evaluation and are not presented here. While the steps are described in linear fashion they are, in fact, iterative. For example, defining a more specific behaviour change objective (e.g. parents need to buy and provide healthier snacks) might lead to the consideration of additional behavioural determinants (those which affect parental shopping behaviours as well as those which affect the child's eating behaviour).
Step 1: Needs Assessment
The IM process begins with a needs assessment of the health problem, which includes identification of the problem behaviours (and to some extent their determinants) and of desired programme outcomes as well as the environmental conditions associated with the problem.
Reviewing the evidence base
The starting point was to review the literature to identify (i) risk factors for childhood obesity and children's current eating/drinking and physical activity behaviours (ii) the determinants of these behaviours and (iii) apparently successful and unsuccessful components of previous school-based interventions to prevent and reduce obesity.
(i)Possible risk factors for obesity
Obesity results from an imbalance between consumption and expenditure of energy. Controlled experimental and epidemiological studies suggest a number of dietary risk factors associated with increased energy intake in children and adults. These included, diets with a high energy density  usually characterised by foods high in fat and low in fibre, including fast food [9, 10] and large habitual portion sizes . Experimental studies also report that liquid calories have lower satiating properties than solid food  and epidemiological studies report an increased risk of weight gain or obesity in consumers of sugar-rich drinks. A single carbonated drink per day can add 10% to a child's energy intake . According to the National Diet and Nutrition Survey (2008/9), in the UK children's intake of non milk extrinsic sugars (NMES) provides 15% of food energy , compared to a recommendation of not more than 11% . Carbonated soft drinks are a major source of NMES providing 19% of NMES intake in children aged 4-10 and over one-third in children aged 11-18 .
Reduced energy expenditure has also been associated with weight gain  and numerous studies in adults and children reported an association between lower weight gain and higher levels of physical activity . Stratton et al reported a decrease in the levels of cardiovascular fitness in 9-11 year olds in England between 1997 and 2003 while the prevalence of obesity increased over the same time period . Children's TV viewing time and time spent playing electronic games has been associated with overweight and obesity [18–20], total calorific intake  and the consumption of snack foods . Longitudinal data from the Avon Longitudinal Study of Parents and Children (ALSPAC), found strong associations between children's fat mass at age 14 and their physical activity at age 12 . We also know that today's children are spending more time in front of the television or computer screen than in previous generations - an average of two and a half hours of TV and 1 hour and 50 minutes online a day . (i.e. nearly 4 1/2 hours a day of screen time). An attempt to encourage children to replace screen-based sedentary behaviours with more active pursuits is clearly an appropriate aim in preventing obesity in children and promoting a healthy lifestyle.
(ii)Determinants of behaviours
A variety of family and social determinants affecting children's eating and activity behaviours have been identified. For eating, these include food preferences, food availability and accessibility, modeling (copying the behaviour of others), mealtime structure (social context of meals, the role of TV during mealtimes, eating out, portion size, school meals, snacking habits), feeding styles (the caregivers approach to maintain or modify children's behaviours with respect to eating) and socio-economic and cultural factors (e.g. family time constraints, education, income, ethnicity and culture) . In terms of children's physical activity, parental support (e.g. transporting the child, observing the activity, encouraging the child, providing equipment, participating with the child and reinforcing physical activity behaviours) has been identified as a key determinant both directly and indirectly through its positive association with self efficacy perceptions . Griew et al recently reported that children's school time physical activity varied according to the primary school they attended even after accounting for individual demographic and the school compositional factors with a 'school effect' explaining 14.5% of the variation in pupils' school-time physical activity . However, it is less clear that school based activities have a substantial effect on total, as opposed to school time, activity. In a study of 3 schools from one area, with different sporting facilities and opportunity for physical activity in the curriculum, Mallam et al (2003) reported large differences in school time activity levels but virtually no differences in the total activity of the children .
This research suggests that while it appears that schools have the potential to create a positive physical activity culture that can influence whether children engage in physical activity it will be crucial in intervention studies to assess whether any effects translate in to changes in total as opposed to only school time activity.
Drawing on the social ecological approach  we began from the theoretical perspective that, while both eating and activity behaviours in children are partly determined by choices made by the children, they are highly dependent both on direct intervention by parents (e.g. the food provided, opportunities for physical activity) and by patterns of behaviour within the family, within the school and within peer groups. As children get older the relative importance of self directed, as opposed to family directed, behaviours increases and these behaviours are influenced by wider social factors which include the school environment and peer group norms. Therefore any intervention we designed needed to affect behaviour through influencing the children, their families and the school environment. There is some evidence from previous studies of interventions in children that the use of drama/theatre can be an effective tool to engage children, increase knowledge and change behaviours [30–33]. For example, in an obesity prevention programme aimed at low income children and their parents, an after school theatre-based intervention was shown to motivate and engage both parents and children and increase awareness of the need for making changes. However, the authors did conclude that theatre alone is not enough to lead to behavioural change and that the next step should be to incorporate this delivery method into more comprehensive programmes with both educational and environmental components . Two small studies in primary schools in the UK based on drama/the arts reported increases in vegetable, salad and fruit juice consumption [32, 33]. Although both these studies had serious methodological weaknesses, the use of drama to engage children to change specific behaviours looked promising and was explored at length with experts from drama and education as a possible implementation strategy in step 3 of the intervention mapping process.
We were mindful that there were other key drivers including intrinsic factors such as genes and the wider social environment but these are less modifiable and so were not considered as potential points of intervention.
(iii) School-based interventions
The most recent systematic review (2009) of controlled trials of school-based interventions identified 38 studies; 3 dietary intervention only, 15 physical activity only and 20 combined diet and physical activity . The authors concluded that there was insufficient evidence to determine the effectiveness of dietary interventions alone, but suggested that interventions which increase activity and reduce sedentary behaviour may help children to maintain a healthy weight, although results were short-term and inconsistent. Results for combined diet and activity were also inconsistent, although there was a suggestion that the combined approach might be more effective in preventing children becoming overweight in the long term. Social Cognitive Theory (SCT), which proposes that a dynamic interaction exists between personal, behavioural and environmental factors, provides a basis for many of these programmes, particularly the constructs of self efficacy, behavioural capability (knowledge and skills to perform a behaviour), outcome expectations, self regulation and reinforcement . Environmental conditions of eating behaviour such as school lunch provision and parental/home environment were often targeted [36, 37]. A review of reviews of effective elements of school health promotion across behavioural domains (substance abuse, sexual behaviour and nutrition) found that five elements from the highest quality reviews were found to be effective for all three domains using two types of analysis. These were use of theory; addressing social influences (especially social norms); addressing cognitive behavioural skills; training of facilitators and multiple components. Using one type of analysis only, another two elements were identified: parental involvement and a large number of sessions .
The authors concluded that the 5 elements identified should be primary candidates to include in programmes targeting these behaviours.
A second approach to needs assessment is to collect information to enable a deeper understanding of the context or community in which the intervention is to be delivered . The next step in our needs assessment was therefore to run a workshop with practitioners, policy makers and researchers from education, child health, sports science, the local PCT and the local healthy schools team. In the workshop we addressed the nature of the problem and the findings of our literature review, seeking ideas about possible behavioural objectives for schools, children and their families and what the desired outcomes of the programme should be.
This workshop resulted in agreement about four key principles which it was suggested should guide our intervention design. Firstly, that a public health approach should be adopted including all children rather than targeting the overweight. The adverse health consequences of obesity are not limited to those at the extreme end of the BMI distribution and, although most children remain lean, many will gain weight as adults. In addition, separating children within a class for special intervention risks stigmatising them. Secondly, the intervention needed to engage parents and offer them strategies through which they could directly (through parenting) or indirectly (through the creation of supportive environments) foster the development of healthy eating and activity behaviours among their children/family. Thirdly, in order to provide an intervention that was not only feasible and acceptable to schools, but had potential for long term sustainability, the intervention should dovetail with healthy lifestyle initiatives already present in schools and aim to meet National Curriculum requirements for the age group targeted, something previously recommended by Doak et al (2006) in a review of interventions and programmes to prevent obesity in children . Finally, the methods chosen to deliver the intervention to children and parents not only needed to engage, motivate and inspire but should also be realistically deliverable by teachers and relevant external groups operating within a school setting.
to reduce the consumption of sweetened fizzy drinks
to increase the proportion of healthy snacks consumed and
to reduce TV viewing and other screen based activities.
Step 2: Detailed mapping of programme objectives
Step 2 provides the foundation for intervention development by specifying in detail who and what will change as a result of the programme. The products of step 2 are proximal programme objectives or PPOs. These are statements of demonstrable behaviours (in the target group) or changes in the environment that need to occur in order affect the determinants of the overall behavioural objectives that have been identified in step 1 (and further refined in step 2). To define PPOs, we first defined key behavioural objectives (see above) and broke these down into smaller steps (performance objectives) and then identified the determinants of each performance objective. Then we specified 'proximal programme objectives' (i.e. the most immediate targets of intervention - what needs to be learnt or changed in order to modify behavioural determinants and consequently the key behavioural objectives).
As the aim of our intervention was to develop a school-based intervention which was delivered to children but was able to influence parents and the school as well, activities needed to include parents/families, teachers and the senior management team (SMT). Further, more specific behavioural objectives, called performance objectives (POs) were developed for each group (children, parents/family, teachers, SMT). These constituted individual behaviours, motivations, abilities and environmental opportunities in the home and within the school for each group in order for the three key behavioural objectives to be achieved. The performance objectives developed for the parents/family, teachers and the SMT were focused on engaging the school and the children's families in order to create the necessary conditions to enable children make sustainable changes to their eating and activity behaviours. For example, at the outset, a PO for the SMT was for them to 'buy into' the Programme and believe it would benefit the school and the children and would dovetail with the existing year 5 curriculum and school initiatives already in operation. For the purposes of this paper we will confine our examples to the performance objectives related to the child, however, a detailed intervention specification supporting this paper is available to view (See Additional file 1) which shows the POs, determinants (change targets), BCTs and methods of delivery for all the target groups.
a) Defining overall behavioural objectives
The creation of a behavioural objective requires breaking down the desired outcome, in this case, preventing obesity, into component parts that influence or are required to achieve the desired outcome. The three key target behaviours, reducing consumption of sweetened fizzy drinks, increasing the proportion of healthy snacks consumed and reducing TV viewing and other screen-based activities were expanded into a set of sub-component behaviours (performance objectives, POs). These performance objectives clarified the exact behavioural performances expected from children, parents and teachers in order to meet these key objectives and referred to individual level behaviours, motivations, abilities as well as to environmental opportunities for such behaviours at the home and school level. As involvement of parents was vital in achieving the three key target behaviours, we knew we needed children to clearly communicate the messages to their parents and engage them in supporting their goals. This was originally construed as a PPO related to the determinants of social support, modelling and reinforcement but was promoted to a PO so that the intervention could explicitly focus on strategies to promote this dialogue between the child and their family. The iterative process of identifying performance objectives was added to over time as the mapping process identified additional issues. For example the concept of enabling children to recognize and resist temptation for unhealthy snacks was originally a PPO (which aims to address the determinant of 'urges for unhealthy foodstuff' as related to the objective of 'reducing unhealthy snacks') which we also promoted to a performance objective to allow a more detailed analysis of this key issue. Although this process was time consuming, it was useful in creating a more focused and considered intervention.
b) Identification of Determinants
Examples of determinants of eating and physical activity behaviour in children targeted by the Healthy Lifestyles Programme
Knowledge and skills to perform tasks required by the intervention (e.g. communicating with parents, select healthy snacks/drinks)
Food preferences and perceived enjoyment
Modelling by parents
Food cravings (urges for unhealthy foods)
Modelling by peers
Activity preferences and perceived enjoyment (sedentary activities vs more active pursuits)
Availability and accessibility of healthy and unhealthy foods in and outside the home and in the school environment
Perceived familiarity of foods/physical activities
Availability and accessibility of physical activity opportunities in school and during parental care
Perceived norms regarding choice of food/leisure activities in family and peer group
Family support (emotional, instrumental and informational)
Self efficacy regarding selection of food/physical activity
Reinforcement from parents, teachers and peers
Self awareness regarding diet and physical activity and screen-based sedentary behaviours
Attitude to the Programme (intention to make changes)
Perceived importance of eating healthily and exercising (pros and cons of making a change)
A focus on delivering the Programme in such a way that children enjoyed the activities and were motivated to participate was also seen as a key determinant for a number of POs, as affective responses are linked to both physical activity and eating behaviours. It is likely that children will be motivated and enjoy activities if they have positive attitudes towards the behaviour , feel competent to make changes , perceive significant others to be motivated and perceive they have some control over outcomes . The main determinants or 'change targets' for the HeLP Programme therefore, were (i) knowledge and skills (ii) self efficacy, (iii) self awareness, (iv) taste, familiarity and preference, (v) perceived norms (vi) support, modelling and reinforcement from family members and (vii) access and availability of opportunity. Having selected our change targets or determinants the next step was to identify the specific behaviours necessary to modify them.
c) Define proximal program objectives
Matrix of performance objectives and determinants for 'Establish Motivation'
Taste Familiarity Preference
Family support, Modelling Reinforcement
*A Communicate healthy lifestyle messages to parents and seek their help and support
1Understands messages and energy balance concept
2Practices skills to communicate with parents
3Understands how parents can support a healthy lifestyle
4Practices skills to seek parental support
5Shows confidence knowledge of healthy lifestyle
6 Shows confidence to talk to parents
7Shows confidence and knowledge of family strategies to support a healthy lifestyle
8Shows confidence to seek parental support
9Perceives other pupils are talking about the project
10Perceives others are seeking parental support
11Receives social reinforcement from parents/family for interest in healthy lifestyles
12Receives reinforcement from parents/family for suggested support strategies
13Increases in availability of healthy snacks/drinks and active pursuits
Select and try healthy alternatives to unhealthy snacks and drinks at home and at school
14Identifies healthy alternatives to unhealthy snacks and drinks
15Practices skills to ask for healthy alternatives in different settings
16Taste healthy alternatives to unhealthy snacks and drinks
17shows confidence to select healthy snacks and drinks
18shows confidence to try new snacks and drinks
19Is familiar with and chooses healthy snacks and drinks
20Perceives family, peers, teacher expecting them to select healthy alternatives
21Receives reinforcement from family, peers and teachers
22Increases in availability and accessibility of healthy snacks and drinks at home
Select feasible active alternatives to sedentary activities
23Identifies active alternatives to sedentary leisure pursuits
24Attends activity workshops
Participates in active games
25Shows confidence and enthusiasm
26Is familiar with range of active alternatives to sedentary pursuits
27Perceives family expecting active choices
28Receives reinforcement from family, peers, teachers
29Increases in active leisure opportunities at home
*Understand and resist temptation
30Identifies general barriers to being healthy
31Understands marketing strategies used to tempt children
32Practices skills to resist temptations
33Shows confidence to resist temptation
34Records what tempts them into eating unhealthy snacks and drinks and being sedentary
35Perceives peers and family are resisting temptation
36Sees parents, family and peers resist temptation
37Decreases in temptations in the home
Matrix of performance objectives and determinants for 'Take Action'
Taste Familiarity Preference
Family support, Modelling Reinforcement
Reflect own snacking and leisure choices
38Identifies unhealthy snacks in diet and sedentary leisure choices
39Compares to guideline
40Shows confidence in ability to assess own behaviour
41Completes 2 day food record
42Completes 24 hour activity record
43Receives reinforcement from parents and teachers
44Sees peers evaluate snacking and activity choices
Set goals and make changes
45Knows role of goal setting in helping to change behaviours
46Knows goals need to be SMART
47Writes 3 SMART goals
48Knows range of strategies to help achieve goals
49Identifies personal strategies to help achieve goals
50Shows confidence in ability to make small changes
51Perceives peers are making changes
52Receives reinforcement from parents and family
53Increases in the availability and accessibility of healthy snacks and drinks at home
54Increases in active leisure opportunities at home
Matrix of performance objectives and determinants for 'Stay Motivated'
Taste Familiarity Preference
Family support, Modelling Reinforcement
G Monitor goals
55Produces a personal monitoring chart
56Knows 80/20 message
57Shows confidence in monitoring goals
58Completes personal monitoring chart
59Perceives peers are monitoring goals
60Receives reinforcement from teachers and parents for monitoring goals
Assess barriers to goal achievement
61Knows how their environment affects their choices
62Knows how personal temptations have affected achieving goals
63Plans new strategies to overcome barriers
64Shows confidence to overcome barriers experienced
65Records barriers and strategies
66Perceives peers planning strategies
67Receives reinforcement from teachers and parents
68Increases in availability and access to healthy snacks and drinks at home
69Knows if goals are SMART
70Knows how to adapt goals
71Shows confidence to adapt goals based on experience
72Receives social reinforcement from parents for being motivated
73Increases in active leisure opportunities and healthy snacks and drinks at home
The end point of step 2 in the intervention mapping process, i.e. defining proximal programme objectives, is an iterative process and we moved back and forth between the tasks of defining POs and their associated determinants from the ones targeted in the HeLP Programme (see Table 1) and the creation of statements of demonstrable behaviours. e.g. 'practices skills to seek parental support' that would modify a particular determinant and thus help achieve the performance objective. This process produced an overwhelming amount of information which we had to condense in order to develop a feasible and acceptable intervention within the school setting.
During the process of creating the matrix, in order to guide the sequential order in which behaviour change techniques were delivered in our intervention, we decided to map performance objectives onto a process model of behaviour change. The Health Action Process Model (HAPA)  was selected as a 'starting point' as it is consistent with the theoretical models of behaviour change mentioned earlier and suggests that behaviour change occurs through a sequence of adoption, initiation and maintenance processes. This phased model implies a clear order of distinct actions which is easily understood and is compatible with a sequential application of techniques spread across the curriculum of a school year. By taking these phases into account, performance objectives and their associated PPOs were mapped onto three processes of behaviour change; Establish motivation (develop confidence and skills, make decisions); Take action (create an action plan and implement it); Stay motivated (monitor progress, assess and adapt goals).
Tables 2, 3 and 4 present matrices of performance objectives and a selection of the key determinants targeted in the HeLP intervention for each of the three processes of behavior change. The combination of performance objectives, and behavioural determinants, generates (in the cells of the table) the proximal objectives for the Programme (PPOs). These have then been mapped onto the appropriate process of behavior change in the HAPA model. This provided a clear framework to guide the selection and sequencing of the behavior change techniques and practical strategies which constitute the intervention.
Step 3: Specify behaviour change techniques
The product of step 3 is an inventory of behaviour change techniques selected to match each proximal programme objective. A behaviour change technique (BCT) e.g. 'model/demonstrate behaviour' is a technique designed to change a specified theoretical process or determinant of behaviour. For example, using strategies in the intervention that enable children to practice a targeted behaviour and/or see role models perform the behaviour, is designed to increase self efficacy (confidence in being able to perform the target behaviour), which is a construct of social cognitive theory.
Finding appropriate techniques begins with the question "How can the learning and change objectives (the PPOs) for each performance objective be accomplished?" Methods for identifying suitable techniques included a) discussions with stakeholders, and experts in behaviour change (behavioural science academics/health promotion staff); b) reference to a taxonomy of behavioural change techniques [43, 44]; c) consideration of theory and practice in other school-based interventions; d) applying criteria for feasibility, acceptability and cost within a school setting.
Behaviour change techniques and strategies for performance objectives associated with 'Establish Motivation'
Behaviour change techniques
Communicate healthy lifestyle messages to parents and seek their help and support
Exchange information (IMB)
Prompt barrier identification
Communication skills training
Prompt identification as a role model (SCT)
Children learn about the healthy lifestyle messages and support strategies through a variety of individual and group tasks delivered by the teacher in PSHE lessons and by actors in drama workshops. '80/20' used as a general message throughout suggesting we should eat healthily and be active at least 80% of the time.
Parent information sheets given to children following each drama workshop.
Characters and children role play scenes to communicate messages to parents and seek their support. Discussion and role play of ways to encourage whole family to make changes.
Characters present scenes, where after having made changes to their behaviours, become role models to others (siblings, parents, friends) followed by group discussion.
Select and try healthy alternatives to unhealthy snacks and drinks at home and at school
Exchange information (IMB)
Children view and discuss with their chosen character ingredients of both healthy and unhealthy food and drink. Compare fat, sugar and salt content to recommended guidelines.
Children observe characters taste healthy snacks and drinks while role playing in different settings
Characters provide encouragement
Children taste healthy snacks and drinks with their chosen character
Select feasible active alternatives to sedentary activities
Children and actors role play home and school scenes focussing on replacing sedentary leisure pursuits with active alternatives.
Children play interactive games to choose and mime active leisure pursuits.
Children observe the characters mime their 24 hour clock and discuss their activity in relation to the '80/20' message.
Understand and resist temptation
Prompt barrier identification (SCT)
Problem solving (SCT)
Decision balance (SCT)
Prompt barrier identification (SCT)
Model/demonstrate behaviour (SCT)
Communication skills training (SCT)
Children make personalised 'Temptation T shirts'
Children work with their chosen character to prepare ways to tempt the other 3 characters and help their own character to resist temptation.
Children participate in the 'Temptation Ladder' activity that enables them to practise skills to resist temptations and help others.
Children observe characters role play marketing scenes
Children participate in the role play.
Step 4: specifying practical strategies and designing the intervention
The implementation strategy is simply the process for delivery of a particular behavior change technique. The strategy needs to be appropriate for the target population and the setting in which the intervention will be conducted. We were mindful (as per our needs assessment) that strategies chosen needed to be deliverable by teachers and relevant external groups operating within a school setting, dovetail with healthy lifestyle initiatives already going on in schools at the time and, where possible, meet National Curriculum requirements for this age group.
a) Specifying implementation strategies
It was clear the strategies chosen to deliver the key messages needed to inspire and motivate the children so that they discussed the Programme at home with their parents and each other. Previous research has suggested that drama may be an appropriate means of engaging children, increasing knowledge and changing health behaviours [30–33]. Following discussions with experts in education and drama, it was hypothesised that interactive drama based activities where the children take ownership of the issues was more likely to motivate children to become engaged with the process, make changes and to engage their parents than passive receipt of messages. We also hypothesised that, if the children were involved in the development of materials, including the scenarios they produce (facilitated by actors), they would be more likely to be receptive to the health messages. Drama sessions were also compatible with the existing school curriculum and could provide a framework within which to deliver many of the proposed behaviour change techniques in a way which is accessible and engaging for children.
Table 5 presents a summary of behaviour change techniques and implementation strategies chosen to accomplish PPOs (not shown) for each performance objective related to 'establishing motivation'. To view the table showing techniques and strategies for 'take action' and 'stay motivated' see Additional file 2.
b) Designing the Programme
The HeLP Programme and associated POs
Process of Behaviour change
Summary of implementation strategies
Performance objectives (POs)
Engaging schools, children & families
Spring term (Yr 5)
Establish motivation and create a receptive environment
Whole school assembly
*Senior management team (SMT) see that the Programme benefits the school and the children and dovetails with existing school initiatives
*Year 5 teachers see that the programme is feasible and acceptable to them and their children and does not substantially increase their workload
Methods of delivery enthuse children
*Parents understand the value of the Programme
Intensive Healthy Lifestyles Week - one week
Summer term (Yr 5)
Establish motivation by developing children's confidence and skills and helping them make decisions
PSHE lessons (morning)
§Drama (afternoon) (forum theatre; role play; food tasting, discussions, games etc)
A, B, C, D (see Table 2)
Goal Setting - goals set during week following drama
Summer term (Yr 5)
Take action by helping children create an action plan and implement goals.
Questionnaire to enable children to reflect on snacking, consumption of fizzy drinks and physical activity.
Goal setting sheet to go home to parents to complete with child.
1:1 goal setting interview
Parent's evening (child involvement - Forum Theatre)
E, F (see Table 3)
Reinforcement activities - one term post-intervention
Autumn term (Yr 6)
Stay motivated by helping children to monitor, assess and adapt goals
Whole school assembly followed by drama workshop to remind school/children of messages.
PSHE lesson to remind children of messages and goals.
Children monitor goals on personalised chart
Class to deliver assembly about the project to rest of school
1:1 goal supporting interview to discuss facilitators/barriers and to plan new coping strategies.
G, H, I (see Table 4)
The intervention was piloted in two phases and process evaluation methods included semi structured interviews (teachers and parents), focus groups (children), questionnaire responses (parents), documentation of parental and child involvement and observations of intervention delivery. The aim of phase 1 was to ensure that the initial intervention components were feasible, appropriate and suitably engaging for the target population (8-11 year olds). We therefore worked with children, parents and teachers from a single primary school to assess a variety of possible activities, materials and modes of delivery to 119 children from three age groups (8-9 year olds; 9-10 year olds and 10-11 year olds) using education lessons and either drama or goal setting. Based on the results/feedback from phase 1, the intervention was further developed and a second phase of piloting took place in a second primary school, in an area of high deprivation, with 77 children from three year 5 classes (aged 9-10 years). The aim of the second phase was to assess 'proof of concept' (i.e whether the intervention could change obesity related behaviours) and the feasibility of taking measures. Height, weight, waist circumference, % body fat, objective physical activity (using accelerometry), food intake (using an adapted version of the Food Intake Questionnaire)  and screen time (using an adapted version of the Childrens' TV Viewing Habits Questionnaire  were measured at baseline and 6 weeks post intervention.
Pilot 1(one primary school; n = 119 children, aged 8-11)
In the questionnaire feedback, many parents reported positive parent/family behaviour changes. Qualitative data from teachers, children and their parents suggested that Year 5 s (9-10 year olds) were more receptive to the messages than the year 4 and 6 children and more able and willing to translate them into possible behaviour changes. In addition, it appeared that this year group engaged their families to the greatest extent. Teachers thought that the education lessons should be taught consecutively over one week to maintain momentum and that the drama and goal setting had the potential to work synergistically by engaging the children through the drama and following this up with encouraging the children, with their parents support, to make changes through setting simple goals. Parents and children also highlighted the need for a greater variety of activities to introduce the key messages and concepts in order to engage both boys and girls.
In order to build a trusting relationship, a range of activities was developed to introduce the school, children and their families to the project's key messages. A 'Healthy Lifestyles Week' was developed consisting of education lessons in the morning (delivered by teachers) which dovetailed with interactive drama activities in the afternoon (delivered by a local drama group).
Pilot 2 (one primary school; n = 77 children, aged 9-10)
Provides example quotations supporting a selection of performance objectives for teachers, children and their families
Year 5 teachers need to see that the programme is feasible and acceptable to them and their children and does not substantially increase their workload
'I really appreciated you giving me all the lesson plans and resources and that they linked to the National Curriculum. I found them easy to follow''
'I knew the drama would work well with our children'
'The parents evening did increase my workload a bit but I thought it was worthwhile'
Class teachers need to be enthused by the programme and develop their understanding and appreciation of the issues
'I enjoyed observing the children in the drama sessions as I saw what a great impact it had on my class'
'The project inspired me as I saw what a positive effect it was having on the children with statements'
'It was good for us to have to teach the PSHE lessons as this helped me to understand what the project was about'
The methods of delivery need to enthuse children so that they discuss messages with their parents and are motivated to seek family support to make small and simple lifestyle changes
'[Name] talked a lot about the project. She loved the Chiefs and dance visit despite not being coordinated!'
'The project encouraged [Name] to become interested in cooking and preparing food.'
'[Name] plays an active part in choosing healthy options when we shop'
Children need to be able to select feasible, active alternatives to sedentary activities
'Since moving house, [Name] no longer cycles to school but he realised he misses it so he is now going to cycle to school again even though he has further to go now. It has come from him and that it good'
'[Name] has definitely increased her activity and chooses this option instead of TV'
Parents/families need to make changes
'I buy more fruit and veg '
'We do more activity as a family now'
'I try to make her packed lunches more healthy and interesting'
'We will only buy brown or wholemeal bread now'
Quantitative data from the pre and post intervention behavioural and anthropometric measures showed a significant self reported decrease in the consumption of energy dense snacks (p = 0.001), TV viewing (p = 0.033). Objective measures of physical activity showed a significant decrease in girls' sedentary behaviours (p = 0.03) and a significant increase in girls' moderate to vigorous physical activity (p = 0.001). We note that this is only before and after data and some measures were self report and therefore unreliable, however, these results did provide 'proof of concept'.
An additional component was added to the intervention - 'reinforcement activities' to take place at the beginning of year 6. In addition, minor refinements were made to the education lessons and the drama scripts to enhance delivery and continuity. Table 6 shows the final intervention components, associated processes of change, implementation strategies and POs.
A paper providing more detail of these two piloting phases, including a randomised exploratory trial has been published .
The drama/school assembly scripts for the actors and a step by step guide for the drama facilitator have been manualised to enable delivery by a local theatre/drama group. The PSHE lessons (with learning outcomes relating to the National Curriulum) and their associated resources have also been manualised so that class teachers are able to deliver the sessions with minimum preparation (these can be obtained from the corresponding author).
This paper describes the use of Intervention Mapping to develop a school-based intervention to prevent obesity in children. Intervention Mapping was a useful tool to guide us through the process of developing the HeLP intervention, as was Abraham and Michie's taxonomy of BCTs  which helped us to select feasible BCTs for use in the HeLP Programme. However, these tools did not provide much guidance on how to organise these many BCTs and their associated delivery methods into a coherent, efficient and appropriately sequenced framework. As a result we took further steps to select techniques and strategies to fit around a process model of behavior change The HAPA model provided a framework to order the implementation techniques into a coherent, multi component intervention (Table 6) that could run over three school terms and would enable the children and their families to make lifestyle changes.
The HAPA model is consistent with a number of theories of behavior change including social cognitive theory and control theory . We selected the HAPA as being the 'closest fit' to the set of theoretical determinants we had identified. However, although the HAPA model was useful in helping to identify a broad strategy for sequencing the delivery of BCTs, it did not provide complete coverage of the theoretical determinants we identified. Additional processes we have incorporated included the need to address cravings for unhealthy snacks (affective processes) (see table 1) and the need to build a receptive context within the school environment, component 1 of the intervention (see table 6). Two further BCTs (not addressed in the taxonomy) [43, 44] we used to help create a receptive context within the school were the 'identification of barriers' with teachers and the senior management team to delivering the intervention within school time and 'discussion of possible solutions' to these. We also understood the importance of 'showing empathy' (i.e. understanding the nature school life) when liaising with teachers and the SMT which, we felt, was key in building a trusting relationship - essential in getting the school to 'buy into' the Programme. (See Additional file 1).
The development process was also consistent with the new MRC framework for the development and evaluation of complex interventions  which suggests an iterative approach in which an understanding of context is central. The evidence that existing school-based programmes actually prevent obesity is weak . We recognize that there are important social determinants of behaviours related to diet and physical activity which are difficult to address and which will inevitably militate against successful interventions delivered to individuals and within micro-environments such as schools. Nonetheless we hope that the rigorous approach employed to develop the HeLP Programme and its modification through iterative pilot phases will increase the likelihood of both efficacy and effectiveness. It also provides us with the basis for the process evaluation we are conducting alongside the efficacy trials which will help us to explore possible reasons for its success or failure.
Strength and Limitations: This is one of the few studies to describe in detail the theoretical basis, intervention techniques and strategies of an intervention for reducing and preventing childhood obesity. Through the use of IM methods, the theoretical basis, behavior change techniques and implementation strategies can be seen to fit together as a coherent intervention model. Each technique delivered has a clear purpose and a clear place in the model. The IM approach was very useful, although there was a tendency to generate a long list of behavior change techniques, which were not necessarily coherent or compatible. We were able to correct this by application (and extension) of a process model of behavior change (The HAPA model). In order to make sure that certain behaviours were targeted (such as encouraging the children to engage their parents and talk meaningfully about the project's messages) we decided to promote some PPOs to POs so that there could be a second level of 'peeling down' that would enable us to establish more focused and specific implementation strategies related to a key programme objectives.
Future directions: Two stages of piloting and refinement of the intervention have taken place. In addition an exploratory randomised controlled trial has just been completed involving 202 children to establish feasibility and acceptability of the Programme and the trial design for a future large cluster RCT. The results of this pilot work will be reported elsewhere.
Implications for practice: Interventions to address overweight/obesity (and other complex behavioural interventions) in children could adopt similar methods to clearly outline their intervention methods and the causal processes hypothesised to underlie the desired changes in child and parent behaviour. We believe that this framework allows a deeper understanding of the processes through which such interventions work, improving our ability to design and deliver consistently effective interventions.
Although time consuming, we found intervention mapping to be a useful tool for developing a feasible, theory based intervention aimed at motivating children and their families to make small sustainable changes to their eating and activity behaviours. The next phase of the research will involve evaluating the effectiveness and cost effectiveness of the HeLP Programme in a large scale cluster RCT.
The authors are very grateful to the participating schools, children and their families who gave up their time for the study. We would also like to acknowledge Sandy Akerman (Headbangers Theatre Company) who supported the design of the drama component of the intervention. Phase 1, 2 and 3 (the ongoing exploratory trial) of development was funded by the Children's Research Fund (registered charity no. 226128) and the NIHR Research for Patient Benefit (RfPB) Programme. SL, KW and JL were partially supported by PenCLAHRC, the National Institute for Health Research (NIHR) CLAHRC for the Southwest Peninsula. This paper presents independent research commissioned by the National Institute for Health Research (NIHR). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
- Health Survey for England - 2008 Trend Tables. 2009, The NHS Information centre, [http://www.ic.nhs.uk/pubs/hse08trends]
- National Child Measurement Programme: results from the school year 2009/10. [http://www.ic.nhs.uk/statistics-and-data-collections/health-and-lifestyles/obesity/national-child-measurement-programme-england-2009-10-school-year]
- Gunnell DJ, Frankel SJ, Nanchahal K, Peters TJ, Davey Smith G: Childhood obesity and adult cardiovascular mortality: a 57-y follow-up study based on the Boyd Orr cohort. Am J Clinical Nutrition. 1998, 67 (6): 1111-1118.Google Scholar
- Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T: Do obese children become obese adults? A review of the literature. Prev Med. 1993, 22 (2): 167-177. 10.1006/pmed.1993.1014.View ArticleGoogle Scholar
- Choi BC, Hunter DJ, Tsou W, Sainsbury P: Diseases of comfort: primary cause of death in the 22nd century. J Epidemiol Community Health. 2005, 59: 1030-4. 10.1136/jech.2005.032805.View ArticleGoogle Scholar
- Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M: Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008, 337: 979-983. 10.1136/bmj.a979.View ArticleGoogle Scholar
- Bartholomew K, Parcel GS, Kok G, Gottleib NH: Planning Health Promotion Programmes: An intervention mapping approach. 2006, San Francisco: Jossey-BassGoogle Scholar
- Stubbs J, Ferres S, Horgan G: Energy density of foods: effects on energy intake. Crit Rev Food Sci Nutr. 2000, 40: 481-515. 10.1080/10408690091189248.View ArticleGoogle Scholar
- Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR, Ludwig DS: Fast food habits, weight gain and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005, 365: 36-42. 10.1016/S0140-6736(04)17663-0.View ArticleGoogle Scholar
- Prentice AM, Jebb SA: Fast foods, energy density and obesity: a possible mechanistic link. Obesity Reviews. 2003, 4: 197-194.View ArticleGoogle Scholar
- Ello-Martin JA, Ledikwe JH, Rolls BJ: The influence of food portion size and energy density on energy intake: implications for weight management. Am J Clin Nutr. 2005, 82 (Suppl 1): 236-241.Google Scholar
- DiMeglio DP, Mattes RD: Liquid versus solid carbohydrate: effects on food intake and body weight. Int J Obes. 2000, 24: 794-800. 10.1038/sj.ijo.0801229.View ArticleGoogle Scholar
- Bates B, Lennox A, Swan G: National Diet and Nutrition Survey: Headline results from Year 1 Rolling Programme (2008/9). 2008, London: TSOGoogle Scholar
- Department of Health: Dietary Reference Values (DRVs) for Food Energy and Nutrients for the UK. 1991, HMSO: LondonGoogle Scholar
- Ravussin E, Lillioja S, Knowler WC, Christin L, Freymond D, Abbott WG, Boyce V, Howard BV, Bogardus CN: Reduced Rate of Energy Expenditure as a Risk Factor for Body-Weight Gain. Engl J Med. 1988, 318 (8): 467-72. 10.1056/NEJM198802253180802.View ArticleGoogle Scholar
- Wareham NJ, van Sluijs EM, Ekelund U: Physical activity and obesity prevention: A Review of current evidence. Proceedings of the Nutrition Society: May 2005. Edited by: Westerterp KR. 2005, Cambridge University Press, 64: 229-247.Google Scholar
- Stratton G, Canoy D, Boddy LM, Taylor SR, Hackett AF, Buchan IE: Cardio respiratory fitness and body mass index of 9-11 year old English children: a serial cross-sectional study from 1998 to 2004. Int J Obes. 2007, 31: 1172-1178. 10.1038/sj.ijo.0803562.View ArticleGoogle Scholar
- Stetter N, Singer TM, Suter PM: Electronic games, environmental factors associated with childhood obesity in Switzerland. Obes Res. 2004, 12: 869-903.Google Scholar
- Hancox RJ, Milne BJ, Poulton R: Association between child health and adolescent TV viewing and adult health: a longitudinal birth cohort study. Lancet. 2004, 364: 257-262. 10.1016/S0140-6736(04)16675-0.View ArticleGoogle Scholar
- Marshall SJ, Biddle SJ, Gorely T, Cameron N, Murdey I: Relationships between media use, body fatness and physical activity in children and youth: a meta analysis. Int J Obes Relat Met Disord. 2004, 28 (10): 1238-46. 10.1038/sj.ijo.0802706.View ArticleGoogle Scholar
- Wiecha JL, Peterson KE, Ludwig DS, Kim J, Sobol A, Gortmaker SL: When children eat what they watch. Impact of television viewing on dietary intake in youth. Archives of Pediatrics & Adolescent Medicine. 2006, 160: 436-42. 10.1001/archpedi.160.4.436.View ArticleGoogle Scholar
- Halford JCG, Gillespie J, Brown V, Pontin EE, Dovey TM: Effect of television advertisements for foods on food consumption in children. Appetite. 2004, 42: 221-5. 10.1016/j.appet.2003.11.006.View ArticleGoogle Scholar
- Riddoch CJ, Leary SD, Ness AR, Blair SN, Deere K, Mattocks C, Griffiths A, Davey-Smith G, Tilling K: Prospective associations between objective measures of physical activity and fat mass in 12-14 year old children: the Avon Longitudinal Study of Parents and Children (ALSPAC). BMJ. 2009, 339.Google Scholar
- Childwise: The Childwise Monitor Trends report 2010/11. Childwise. 2011, Childwise, Norwich, [http://www.childwise.co.uk/childwise-published-research-detail.asp?PUBLISH=53]Google Scholar
- Patrick H, Nicklas PA: Review of Family and Social Determinants of Children's Eating Patterns and Diet Quality. J Am Col Nutr. 2005, 24 (2): 83-92.View ArticleGoogle Scholar
- Trost SG, Sallis JF, Pate RR, Freedson PS, Taylor WC, Dowda M: Evaluating a model of parental influence on youth physical activity. Am J Prev Med. 2003, 25 (4): 277-82. 10.1016/S0749-3797(03)00217-4.View ArticleGoogle Scholar
- Griew P, Page A, Thomas S, Hillsdon P, Cooper AR: The school effect on children's school time physical activity: The PEACH Project. Prev Med. 2010, 51 (3-4): 282-286. 10.1016/j.ypmed.2010.06.009.View ArticleGoogle Scholar
- Mallam KM, Metcalf BS, Kirkby J, Voss LD, Wilkin TJ: Contribution of timetabled physical education to total physical activity in primary school children: cross sectional study. BMJ. 2003, 327: 529-593.View ArticleGoogle Scholar
- Egger G, Swinburn B: An "ecological" approach to the obesity pandemic. British Medical Journal. 1997, 315: 477-480.View ArticleGoogle Scholar
- Aslan D, Sahin A: Adolescent peers and anti-smoking activities. Promot Educ. 2007, 14: 36-40.Google Scholar
- Neumark-Sztainer D, Haines J, Robinson-O'Brian R, Hannan J, Robins M, et al: 'Ready. Set. ACTION!' A theatre-based obesity prevention program for children: a feasibility study. Health Education Research. 2008, 24: 407-420.View ArticleGoogle Scholar
- Fox L: A drama project to promote the 'Give Me 5' message to primary school children. 2001, Health promotion Service, AvonGoogle Scholar
- Pearson T, Lambert N, Barker ME: Increasing fruit and vegetable consumption in children: the development and evaluation of a school-based intervention using art/play therapy N09008. 2003, Project Report FSA, LondonGoogle Scholar
- Brown T, Summerbell C: Systematic review of school-based interventions that focus on changing dietary intake and physical activity levels to prevent childhood obesity: an update to the obesity guidance produced by the NICE. Obes Rev. 2009, 10 (1): 110-41. 10.1111/j.1467-789X.2008.00515.x.View ArticleGoogle Scholar
- Bandura A: Social foundations of thought and action: A social cognitive theory. 1986, Englewood Cliffs, NJ: Prentice-HallGoogle Scholar
- Taylor RW, McAuley KA, Barbezat W, Strong A, Williams SM, Mann JI: APPLE Project: 2-y findings of a community-based obesity prevention program in primary school-age children. Am J Clin Nutr. 2007, 86 (3): 735-742.Google Scholar
- Singh AS, Chin A Paw MJM, Brug J, Mechelen W: Effectiveness of a School-Based Program on Body Composition and Behaviour Dutch Obesity Intervention in Teenagers. Arch Pediatr Adolesc Med. 2009, 163 (4): 309-317. 10.1001/archpediatrics.2009.2.View ArticleGoogle Scholar
- Peters A, Kok LHW, Ten Dam G, Buijs GTM, Paulussen GJ, TGW M: Effective elements of school health promotion across behavioral domains: A systematic review of reviews. BMC Public Health. 2009Google Scholar
- Doak CM, Visscher TLS, Renders CM, Seidell JC: The prevention of overweight and obesity in children and adolescents: a review of interventions and programmes. Obes Rev. 2006, 7: 111-136. 10.1111/j.1467-789X.2006.00234.x.View ArticleGoogle Scholar
- Ajzen I: From intentions to actions: A theory of planned behavior. Action-control: From cognition to behaviour. Edited by: Kuhl J, Beckmann J. 1985, Springer: Heidelberg, 11-39.View ArticleGoogle Scholar
- Harter S: Effectance Motivation Reconsidered Toward a Developmental Model. Hum Dev. 1978, 21: 34-64. 10.1159/000271574.View ArticleGoogle Scholar
- Schwarzer R: Self-efficacy in the adoption and maintenance of health behaviors: Theoretical approaches and a new model. Self-efficacy: thought control of action. Edited by: Schwarzer R. 1992, London: Hemisphere, 217-243.Google Scholar
- Abraham C, Michie S: A taxonomy of behavior change techniques used in interventions. Health Psychology. 2008, 27 (3): 379-387.View ArticleGoogle Scholar
- Michie S, Johnston M, Francis J, Hardeman W, Eccles M: From Theory to Intervention: Mapping Theoretically Derived Behavioural Determinants to Behaviour Change Techniques. Applied Psychology: an international review. 2008, 57 (4): 660-680. 10.1111/j.1464-0597.2008.00341.x.View ArticleGoogle Scholar
- Johnson B, Hackett AF: Eating habits of 11-14 year old school children living in less affluent areas of Liverpool, UK. Journal of Human Nutrition and Dietetics. 1997, 10: 135-144. 10.1046/j.1365-277X.1997.00046.x.View ArticleGoogle Scholar
- Owens J, Maxim R, McGuinn M, Nobile C, Msall M, Alario A: Television-viewing habits and sleep disturbance in school children. Pediatrics. 1999, 104: e27-10.1542/peds.104.3.e27.View ArticleGoogle Scholar
- Wyatt K, Lloyd J, Creanor S, Logan S: The development, feasibility and acceptability of a school-based obesity prevention programme: results from three phases of piloting. BMJ Open. 2011Google Scholar
- Summerbell CD, Waters E, Edmunds L, Kelly SAM, Brown T, Campbell KJ: Interventions for preventing obesity in children. Cochrane Database of Systematic Reviews. 2005, CD001871-3Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.