- Study protocol
- Open Access
Effects of a free school breakfast programme on school attendance, achievement, psychosocial function, and nutrition: a stepped wedge cluster randomised trial
© Ni Mhurchu et al; licensee BioMed Central Ltd. 2010
- Received: 21 November 2010
- Accepted: 29 November 2010
- Published: 29 November 2010
Approximately 55,000 children in New Zealand do not eat breakfast on any given day. Regular breakfast skipping has been associated with poor diets, higher body mass index, and adverse effects on children's behaviour and academic performance. Research suggests that regular breakfast consumption can improve academic performance, nutrition and behaviour. This paper describes the protocol for a stepped wedge cluster randomised trial of a free school breakfast programme. The aim of the trial is to determine the effects of the breakfast intervention on school attendance, achievement, psychosocial function, dietary habits and food security.
Sixteen primary schools in the North Island of New Zealand will be randomised in a sequential stepped wedge design to a free before-school breakfast programme consisting of non-sugar coated breakfast cereal, milk products, and/or toast and spreads. Four hundred children aged 5-13 years (approximately 25 per school) will be recruited. Data collection will be undertaken once each school term over the 2010 school year (February to December). The primary trial outcome is school attendance, defined as the proportion of students achieving an attendance rate of 95% or higher. Secondary outcomes are academic achievement (literacy, numeracy, self-reported grades), sense of belonging at school, psychosocial function, dietary habits, and food security. A concurrent process evaluation seeks information on parents', schools' and providers' perspectives of the breakfast programme.
This randomised controlled trial will provide robust evidence of the effects of a school breakfast programme on students' attendance, achievement and nutrition. Furthermore the study provides an excellent example of the feasibility and value of the stepped wedge trial design in evaluating pragmatic public health intervention programmes.
Trial Registration Number
Australian New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12609000854235
- School Attendance
- Breakfast Consumption
- Psychosocial Function
- Step Wedge Design
- Breakfast Programme
Up to one-fifth of New Zealand children leave for school without eating breakfast [1–3]. Missing breakfast is more common amongst older children, girls, Māori and Pacific children, and those living in lower socioeconomically resourced areas [2, 3]. Missing breakfast has been associated with adverse effects on cognitive function (including memory), academic performance, school attendance, psychosocial function and mood in children and young people [4, 5]. Conversely, breakfast consumption is associated with a range of positive outcomes, including better school attendance, academic performance, nutrient intake, fitness, and healthier body weight [6–8].
Breakfast contributes substantially to daily energy and nutrient intake. Breakfast provides 16% of New Zealand children's daily energy intake, around one-third of calcium, iron, thiamine, riboflavin and folate intakes, and one-fifth of zinc intake . Children who miss breakfast have significantly worse daily nutrient intakes, including higher intakes of total fat, and lower intakes of dietary fibre and micronutrients than those who eat breakfast . Hungry children may lack the energy and motivation to become involved in classroom activities , while malnutrition and micronutrient deficiencies have been shown to impact on physical, mental, and social health, and reduce cognitive functioning [11–13].
A number of countries (e.g. United States, United Kingdom, Sweden) have government or non-government funded school breakfast programmes, which aim to provide a free healthy breakfast to children and thereby improve nutrition and academic outcomes [14–16]. In New Zealand, some school breakfast programmes have been introduced in recent years, although none are official government programmes. The Red Cross Breakfast in Schools programme, which is available to decile 1 primary schools (areas of low socioeconomic resource), was established in 2007 . The programme is run with support from Countdown supermarkets (Progressive Enterprises) who supply breakfast foods free of charge. In 2008, the KickStart Breakfast programme for decile 1-4 schools (areas of low to moderate socioeconomic resource) was launched by Fonterra Co-Operative Group Limited and Sanitarium Health Food Company.
Research indicates that school breakfast programmes have benefits in relation to nutrition, school attendance, academic performance and psychosocial function [14, 18]. However, findings have been inconsistent, limited by poor study design and methods, and frequently confuse correlation with causation. A Cochrane review identified seven randomised, controlled trials investigating the effects of school feeding programmes (breakfast, lunch or snacks) . However, only two were undertaken in high income countries, one of which experienced substantial contamination between trial intervention groups , whilst the other did not include a full school breakfast (just milk) . Based on all studies, the Cochrane review concluded that there is a dearth of high quality evidence on school feeding programmes and recommended further well-designed studies, particularly cluster randomised controlled trials .
This paper presents the study protocol for a stepped wedge cluster randomised controlled trial to investigate the effects of a free school breakfast programme on students' school attendance, academic achievement, psychosocial function, dietary habits and food security.
In New Zealand, there are two stages of schooling: primary (years 0-8) and secondary (years 9-15). Primary schools include full primary (years 0-8), contributing (years 0-6) and intermediate (years 7-8) schools. There are four terms in a primary school year, with term 1 starting in early February and term 4 ending in December. All schools are assigned a decile rating, which indicates the extent to which the school draws its students from a range of socioeconomic areas. Decile 1 schools are the 10% of schools with the highest proportion of students from low socioeconomic resource areas (defined according to residents' income, occupation, household crowding, educational qualifications and income support) and decile 10 are the 10% of schools with the highest proportion of students from high socioeconomic areas.
The primary aim is to investigate the effects of a school breakfast programme in low decile schools on students' attendance. Secondary aims include examination of the impact of the school breakfast programme on students' school achievement, psychosocial function and nutrition.
Eligible schools are decile 1-4 primary schools (students aged 5-13 years) located in selected regions (Auckland, Northland, Waikato, Wellington) in the North Island of New Zealand. To take part in the study, schools must not have an existing breakfast programme and must agree to start one in the 2010 school year. Schools must be of sufficient size that they estimate at least 25 students would attend the breakfast programme each day.
Eligible participants are students aged 5-13 years who plan to attend the school breakfast club at least occasionally and do not have a diagnosed food allergy. Only one child per household may take part. Recruitment involves researchers and/or the school principal briefly outlining the study during a regular school assembly or classroom talks and answering any questions children have. Those interested in taking part in the study are asked to register their interest and take a study information pack home to their parents/caregivers. The study pack includes participant information, a consent form for parents, an assent form for children, forms to collect demographic information (e.g., age, sex and ethnicity of the child, household income) and parents' contact details, and an envelope in which to return completed forms. Students return completed forms to their teacher or the school office, and these are collected by researchers.
Sample size calculations
The target sample size is a total of 16 schools (four schools per sequence) with an average 25 students per school, i.e. a total of 400. Assuming an intra-cluster coefficient (ICC) of 0.05, this sample size will provide at least 85% power, with a significance level of α = 0.05, to detect a 10% absolute increase in the proportion of students with a school attendance rate of 95% or higher.
Ethical approval for the trial was received from the Northern Y Regional Ethics Committee (Reference: NTY/09/09/084).
Randomisation and blinding
Schools are randomly allocated to one of the four sequences for time of crossover from control to intervention phase using a computer-generated list of random numbers. The allocation sequence is overseen by the study statistician (YJ). Consideration is given to school decile and school type in order to reduce the potential imbalance between sequences. Due to the nature of the study intervention it is not possible to blind participants, breakfast providers, or outcome assessors. However, choice of an objective primary outcome (school attendance using routinely collected data from schools) should minimise risk of bias.
The intervention is a free daily before-school breakfast programme; either the Red Cross Breakfast in Schools programme or an unbranded school breakfast programme provided by Fonterra and Sanitarium.
The Red Cross Breakfast in Schools programme is available to decile 1 primary schools. Food is provided free of charge by Countdown supermarkets (Progressive Enterprises Ltd). Schools select from a list of foods that includes breakfast cereal (wheat biscuits), milk, bread, spreads (margarine, jam, honey, Marmite), Milo (chocolate flavoured drink powder), milk powder and sugar. Food is delivered weekly. During the trial the programme is set up and run as usual through the Red Cross, with schools responsible for finding volunteers to run the programme and Red Cross providing assistance and training. The unbranded school breakfast programme is available to decile 1-4 primary and intermediate schools. Food is provided by Fonterra Co-operative Group Limited (fresh or UHT milk) and Sanitarium Health Food Company (Weet-Bix). Milk is provided weekly (where fresh milk is supplied) and Weet-Bix and UHT milk delivered each term. During the trial the programme is set up and run as usual, with schools providing volunteers to run the breakfast programme.
Schools are provided with information on how to set up and run a breakfast club, but are responsible for finding a suitable venue, equipment and volunteers to run the breakfast club. Schools are offered NZ$1000 as reimbursement for their participation in the trial, and this may be used to help set up the breakfast club or for other purposes. No attempts are made to standardise the intervention or its delivery in individual schools.
Study outcome measures
Primary and secondary outcome measures
Recorded school attendance
Literacy and numeracy
Study questionnaire 
Sense of belonging
PISA 2000 Sense of Engagement Scale 
Students (Year 4 and above)
Attendance is defined as total number of half days students are present at school (including those slightly late for the morning or afternoon session e.g. due to a medical appointment). The main measure of attendance is the proportion of students achieving a school attendance rate of 95% or higher, which equates to students missing less than 2-3 days per school term. Other attendance outcomes are number of late, sick or medical days, justified absences (e.g. bereavement leave), and unjustified absences (truancy). Attendance data are recorded by schools in the usual way and extracted for data collection at the end of each school term.
Academic achievement is assessed using numeracy and literacy data collected by schools using standardised tests administered to all students during the year. New Zealand schools use a limited range of tests to assess numeracy and literacy (e.g., asTTle, PAT, SEA), usually during terms 1 and 4. Data will be collated, integrated, and analysed by an expert in academic assessment (JH), taking into account any maturation effect, thus permitting assessment on the same scale.
Self-reported grades (i.e., children's perceived academic competence) are a determinant of actual academic performance in core subjects [22, 23]. Perceived academic competence is measured by asking students to make a realistic assessment of their reading ability in comparison to other students in their year at school, with five response options ranging from 1 (not very well) to 5 (very well) .
Students' sense of belonging is measured using the PISA 2000 Student Engagement Questionnaire, which consists of six statements with four response options ranging from strongly disagree to strongly agree . It measures whether students feel comfortable and as if they belong at school, as well as their relationship with other students. Although designed for use with 15 year-old students, it has a readability level appropriate for younger students. Only students in Year 4 or above (approximately 8 years or older) complete this questionnaire.
The Strengths and Difficulties Questionnaire (SDQ) [26, 27] assesses students' behaviour, emotions and relationships and is completed by the student's teacher. The SDQ consists of 25 items related to five dimensions: hyperactivity/inattention, emotional symptoms, conduct problems, peer relationship problems, and prosocial behaviour.
Temporary hunger levels are assessed using a modified version of "Freddy", an analogue scale (1-15) for measuring fullness or satiety in children . Freddy has been validated for use in the United States and was pre-tested with decile 1 New Zealand primary schoolchildren aged 6-11 years (n = 21) prior to the start of the study. Pre-testing demonstrated expected increases in mean satiety ratings between beginning, middle and completion of breakfast. Furthermore the instrument showed good test-retest reliability: median scores at the beginning of breakfast were 6.4 on day 1 and 5.9 on day 2, whilst median scores at the end were 14.5 and 14.4 respectively. There were no significant differences in scores between the two days (p-values > 0.7).
Students' dietary habits over the past week are assessed using questions from previous national surveys [29, 2]. Three questions assess how often students eat breakfast, where they eat breakfast, and where they source food for breakfast.
The CCHIP scale [30, 31] is used to assess food security status. CCHIP was chosen because this instrument differentiates between household and child food security, whereas most other measures focus on household food security. The scale consists of eight questions, two about the household, two about adults in the household, and four about the child/children in the household.
A concurrent process evaluation will collect information from school breakfast providers, schools, and parents on their perceptions of the breakfast programme and any challenges associated with its implementation and sustainability. School and parent evaluations will be undertaken at the end of the study using standardised questionnaires. Evaluation of breakfast provider perspectives will be undertaken via semi-structured interviews on completion of the trial.
Treatment evaluations will be performed according to the principle of intention-to-treat (ITT), using data collected from individual trial participants at randomised schools. Schools will be treated as clusters in the analysis because participant data collected from the same school are likely to be more correlated than those collected from different schools. Furthermore, in a stepped wedge design, information is collected repeatedly on each participant over the control and intervention periods. Advanced statistical methods appropriate for this type of study design will therefore be used. Generalised Linear Mixed models will be used to adjust for the effect of clustering and repeated measures over time. Intra cluster correlation (ICC) coefficients will be re-evaluated using the study data. Unidirectional crossover as well as any potential secular trends may be incorporated with a time effect. A pre-specified analysis plan outlines detailed statistical methods.
The breakfast intervention trial described in this paper is the first of its kind in Australasia and amongst only a very small number conducted in high income countries to date. Whilst evidence suggests that school breakfast programmes have beneficial effects on student attendance, school grades, and psychosocial function, findings to date have been inconsistent and limited by poor study methodology. This study addresses many of the shortfalls in current research into the effects of school breakfast programmes by employing a prospective cluster randomised trial design to minimise confounding and bias, thus substantially increasing confidence in findings.
Results from this research will provide valuable, much needed information on the effects of free school breakfast programmes in high income countries on school attendance, achievement, psychosocial function, and nutrition.
Furthermore this trial provides an excellent example of the feasibility and value of the stepped wedge trial design in evaluation of pragmatic public health interventions. All too often such initiatives do not undergo robust evaluation due to difficulties in aligning the implementation timetable and rollout strategy with trial design and recruitment . This trial provides a useful illustration of simultaneous implementation and rigorous evaluation of a public health intervention programme.
The study is funded by the Health Research Council of New Zealand (09/337). Cliona Ni Mhurchu holds the National Heart Foundation Senior Fellowship (Grant 1380).
We wish to thank the schools, children and families taking part in the study, and the providers of the breakfast programmes: the New Zealand Red Cross, Progressive Enterprises (Countdown supermarkets), Fonterra Cooperative Group Limited, and Sanitarium Health Food Company.
We are grateful for the input and assistance of our steering committee members (Sara Williams, Kate Kember, Christine McKerchar, Leonie Matoe), research assistants (Denise Miller, Oliver Allen), data manager (Vanessa Singh), data analyst (Joy Jiang), and CTRU IT and operations staff.
- Adolescent Health Research Group: A health profile of New Zealand youth who attend secondary school. New Zealand Medical Journal. 2003, 116 (1171): U380-Google Scholar
- Ministry of Health: A Portrait of Health: Key Results of the 2006/07 New Zealand Health Survey. 2008, Wellington: Ministry of HealthGoogle Scholar
- Utter J, Scragg R, Mhurchu CN, Schaaf D: At-home breakfast consumption among New Zealand children: associations with body mass index and related nutrition behaviors. Journal of the American Dietetic Association. 2007, 107 (4): 570-576. 10.1016/j.jada.2007.01.010.View ArticlePubMedGoogle Scholar
- Rampersaud G, Pereira M, Girard B, Adams J, Metzl J: Breakfast habits, nutritional status, body weight and academic performance in children and adolescents. Journal of the American Dietetic Association. 2005, 105: 743-760. 10.1016/j.jada.2005.02.007.View ArticlePubMedGoogle Scholar
- Pollitt E, Matthews R: Breakfast and cognition: an integrative summary. American Journal of Clinical Nutrition. 1998, 67 (suppl): 804S-813S.PubMedGoogle Scholar
- Grantham-McGregor SM: Can the provision of breakfast benefit school performance?. Food and Nutrition Bulletin. 2005, 26 (2): S144-S158.View ArticlePubMedGoogle Scholar
- Hoyland A, Dye L, Lawton CL: A systematic review of the effect of breakfast on the cognitive performance of children and adolescents. Nutrition Research Reviews. 2009, 22: 220-243. 10.1017/S0954422409990175.View ArticlePubMedGoogle Scholar
- Sandercock GRH, Voss C, Dye L: Associations between habitual school-day breakfast consumption, body mass index, physical activity and cardiorespiratory fitness in English schoolchildren. European Journal of Clinical Nutrition. 2010, 64: 1086-1092. 10.1038/ejcn.2010.145.View ArticlePubMedGoogle Scholar
- Wilson N, Parnell W, Wohlers M, Shirley P: Eating breakfast and its impact on children's daily diet. Nutrition & Dietetics. 2006, 63: 15-20.View ArticleGoogle Scholar
- Read M: Malnutrition, hunger, and behavior. II. Hunger, school feeding programs, and behavior. Journal of American Dietetic Association. 1973, 63 (4): 386-391.Google Scholar
- Scrimshaw N: Malnutrition, brain development, learning and behaviour. Nutrition Research. 1998, 18 (2): 351-379. 10.1016/S0271-5317(98)00027-X.View ArticleGoogle Scholar
- Worobey J, Worobey H: The impact of a two-year school breakfast program for preschool-aged children on their nutrient intake and pre-academic performance. Child Study Journal. 1999, 29: 113-131.Google Scholar
- Leslie J, Jamison T: Health and nutrition considerations in education planning 1. Educational consequences of health problems among school-age children. Food and Nutrition Bulletin. 1990, 12: 191-203.Google Scholar
- Defeyter MA, Graham PL, Walton J, Apicella T: Breakfast clubs: availability for British schoolchildren and the nutritional, social and academic benefits. Nutrition Bulletin. 2010, 35: 245-253. 10.1111/j.1467-3010.2010.01843.x.View ArticleGoogle Scholar
- Moore L, Moore GF, Tapper K, Lynch R, Desousa C, Hale J, Roberts C, Murphy S: Free breakfasts in schools: Design and conduct of a cluster randomised controlled trial of the Primary School Free Breakfast Initiative in Wales [ISRCTN18336527]. BMC Public Health. 2007, 7:Google Scholar
- Friedman BJ, Hurd-Crixell SL: Nutrient intake of children eating school breakfast. Journal of the American Dietetic Association. 1999, 99 (2): 219-221. 10.1016/S0002-8223(99)00052-8.View ArticlePubMedGoogle Scholar
- New Zealand Red Cross: Red Cross Breakfast in Schools: National Evaluation Report 2008. 2008, Wellington: New Zealand Red CrossGoogle Scholar
- Kristjansson E, Robinson V, Petticrew M, MacDonald B, Krasevec J, Janzen L, Greenhalgh T, Wells G, MacGowan J, Farmer A, et al: School feeding for improving the physical and psychosocial health of disadvantaged students. Cochrane Database of Systematic Reviews. 2007, CD004676-1Google Scholar
- Baker I, Elwood PC, Hughes J, Jones M, Moore F, Sweetnam PM: A randomized controlled trial of the effect of the provision of free school milk on the growth of children. Journal of Epidemiology and Community Health. 1980, 34: 31-34. 10.1136/jech.34.1.31.View ArticlePubMedPubMed CentralGoogle Scholar
- Shemilt I, Harvey I, Shepstone L, Swift L, Reading R, Mugford M, Belderson P, Norris N, Thoburn J, Robinson J: A national evaluation of school breakfast clubs: Evidence from a cluster randomized controlled trial and an observational analysis. Child: Care, Health and Development. 2004, 30 (5): 413-427. 10.1111/j.1365-2214.2004.00453.x.Google Scholar
- Brown C, Lilford RJ: The stepped wedge trial design: a systematic review. BMC Medical Research Methodology. 2006, 6 (54):Google Scholar
- Bandura A: Perceived self-efficacy in cognitive development and functioning. Educational Psychologist. 1993, 28 (2): 117-148. 10.1207/s15326985ep2802_3.View ArticleGoogle Scholar
- Marsh HW, Smith ID, Barnes J: Multidimensional self-concepts: relations with sex and academic achievement. Journal of Educational Psychology. 1985, 77 (5): 581-596. 10.1037/0022-06220.127.116.111.View ArticleGoogle Scholar
- Mabe PA, West SG: Validity of self-evaluation of ability: a review and meta-analysis. Journal of Applied Psychology. 1982, 67 (3): 280-296. 10.1037/0021-9010.67.3.280.View ArticleGoogle Scholar
- Willms J: Student engagement at school: a sense of belonging and participation. 2003, Organisation for Economic Cooperation and DevelopmentGoogle Scholar
- Goodman A, Goodman R: Strengths and difficulties questionnaire as a dimensional measure of child mental health. Journal of the American Academy of Child and Adolescent Psychiatry. 2009, 48 (4): 400-403. 10.1097/CHI.0b013e3181985068.View ArticlePubMedGoogle Scholar
- Hawes DJ, Dadds MR: Australian data and psychometric properties of the Strengths and Difficulties Questionnaire. Australian and New Zealand Journal of Psychiatry. 2004, 38: 644-651.View ArticlePubMedGoogle Scholar
- Keller K, Assur S, Torres M, Lofink H, Thornton J, Faith M, Kissileff H: Potential of an analog scaling device for measuring fullness in children: development and preliminary testing. Appetite. 2006, 47: 233-243. 10.1016/j.appet.2006.04.004.View ArticlePubMedGoogle Scholar
- Ministry of Health: NZ Food NZ Children: Key results of the 2002 National Children's Nutrition Survey. 2003, Wellington: Ministry of HealthGoogle Scholar
- Kleinman R, Hall S, Green H, Korzec-Ramirez D, Patton K, Pagano M, Murphy J: Diet, breakfast, and academic performance in children. Annals of Nutrition & Metabolism. 2002, 46 (Suppl 1): 24-30.View ArticleGoogle Scholar
- Frongillo EA, Rauschenbach BS, Olson CM, Kendall A, Colmenares AG: Questionnaire-based measures are valid for the identification of rural households with hunger and food insecurity. Journal of Nutrition. 1997, 127 (5): 699-705.PubMedGoogle Scholar
- Tapper K, Murphy S, Moore L, Lynch R, Clark R: Evaluating the free school breakfast initiative in Wales: Methodological issues. British Food Journal. 2007, 109 (3): 206-215. 10.1108/00070700710732538.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/10/738/prepub
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 (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.