Hostname: page-component-7c8c6479df-ws8qp Total loading time: 0 Render date: 2024-03-28T09:26:22.966Z Has data issue: false hasContentIssue false

Healthy whole-grain choices for children and parents: a multi-component school-based pilot intervention

Published online by Cambridge University Press:  01 August 2008

Teri L Burgess-Champoux
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, 225 FScN, St. Paul, MN 55108, USA
Hing Wan Chan
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, 225 FScN, St. Paul, MN 55108, USA
Renee Rosen
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, 225 FScN, St. Paul, MN 55108, USA
Len Marquart
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, 225 FScN, St. Paul, MN 55108, USA
Marla Reicks*
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, 225 FScN, St. Paul, MN 55108, USA
Rights & Permissions [Opens in a new window]

Abstract

Objective

The aim of the present study was to pilot-test a school-based intervention designed to increase consumption of whole grains by 4th and 5th grade children.

Design

This multi-component school-based pilot intervention utilised a quasi-experimental study design (intervention and comparison schools) that consisted of a five-lesson classroom curriculum based on Social Cognitive Theory, school cafeteria menu modifications to increase the availability of whole-grain foods and family-oriented activities. Meal observations of children estimated intake of whole grains at lunch. Children and parents completed questionnaires to assess changes in knowledge, availability, self-efficacy, usual food choice and role modelling.

Setting/sample

Parent/child pairs from two schools in the Minneapolis metropolitan area; 67 in the intervention and 83 in the comparison school.

Results

Whole-grain consumption at the lunch meal increased by 1 serving (P < 0·0001) and refined-grain consumption decreased by 1 serving for children in the intervention school compared with the comparison school post-intervention (P < 0·001). Whole-grain foods were more available in the lunches served to children in the intervention school compared with the comparison school post-intervention (P < 0·0001). The ability to identify whole-grain foods by children in both schools increased, with a trend towards a greater increase in the intervention school (P = 0·06). Parenting scores for scales for role modelling (P < 0·001) and enabling behaviours (P < 0·05) were significantly greater for parents in the intervention school compared with the comparison school post-intervention.

Conclusions

The multi-component school-based programme implemented in the current study successfully increased the intake of whole-grain foods by children.

Type
Research Paper
Copyright
Copyright © The Authors 2008

Substantial scientific evidence suggests an inverse association between the intake of whole grains and the risk of coronary heart disease, type 2 diabetes, obesity and certain cancersReference Slavin(1, Reference Slavin, Jacobs, Marquart and Wiemer2). Consumption of three servings of whole grains per day has been collectively recommended by numerous government and non-governmental agencies(3Reference Kushi, Byers, Doyle, Bandera, McCullough, McTiernan, Gansler, Andrews and Thun6). Despite these recommendations, recent data from the National Health and Nutrition Examination Survey (1999–2002) showed that children and adolescents 6–19 years of age consumed only 0.8–1.0 mean servings of whole-grain products per day(7).

Overseen by the US Department of Agriculture, the National School Lunch Program provides school lunch to approximately 30 million children on a daily basis(8). Schools are an appropriate setting for delivering programmes to change eating behaviours because young people between the ages of 5 and 17 years can be exposed to new foods on repeated occasions through school meals.

Social Cognitive Theory (SCT) provides a theoretical foundation for identifying modifiable behaviours and for structuring behaviour-change interventions. This theory explains human behaviour in terms of a triadic, dynamic and reciprocal relationship in which personal factors, behaviour and environmental influences interactReference Baranowski, Perry and Parcel(9). SCT has provided the theoretical framework for several multi-component school-based interventions involving children and parents that resulted in positive dietary behaviour changeReference Baranowski, Perry and Parcel(9, Reference French and Stables10). Theory constructs addressed in previous interventions included individual factors such as self-regulation (goal-setting and problem-solving skills), self-efficacy (confidence to carry out behaviours successfully) and outcome expectancies (preferences), behavioural factors such as behavioural capability (food and nutrition knowledge and behavioural skills) and usual food choice (choice between pairs of foods), and environmental factors including the availability/accessibility of foodsReference French and Stables(10).

The purpose of the present study was to describe the development, pilot-testing and efficacy of a multi-component, pilot school-based intervention aimed to increase the consumption of whole grains by 4th and 5th grade children. To our knowledge, this is the first pilot school-based intervention that has focused on whole grains and children. It was hypothesised that, compared with children in the comparison school post-intervention, children in the intervention school would: (1) increase their consumption of whole grains by 0·5 serving per day; and (2) have increased availability of whole-grain foods in the school cafeteria and home.

Methods

Subjects

Two suburban elementary schools from the Minneapolis metropolitan area were recruited to participate in this pilot efficacy trial, which was implemented from January to May 2005. Schools with similar demographic characteristics, size and number of 4th and 5th grade students were assigned to the intervention and comparison conditions on a non-randomised basis. School district personnel provided recommendations for selection of the two schools based on a similar cooperative nature on the part of school food service and administrative staff in both schools. Parent/child pairs were recruited via a two-wave mailing letter sent home from school along with a letter from the principal encouraging participation. All 4th and 5th grade students were eligible to participate except for 5th grade band students due to scheduling conflicts (Fig. 1).

Fig. 1 Flow diagram of the study design

The study was approved by the University of Minnesota Institutional Review Board Human Subjects Protection Committee and the Hopkins School District Research Committee. Parent and child participants signed consent and assent forms, respectively, and were given $10–50 for their participation.

Intervention components and measures

Overview

The ‘Power of 3: Get Healthy with Whole Grain Foods’ pilot intervention programme contained three main components addressing environmental, personal and behavioural factors derived from SCT: a five-lesson classroom curriculum, school cafeteria menu changes, and family involvement. A quasi-experimental study design was utilised to determine the efficacy of the pilot programme to increase the consumption of whole grains by children and modify the availability of whole-grain foods in the home and school environments. Process evaluation measures assessed the fidelity of the programme implementation and the level of participation by children and parents.

Classroom curriculum component

The ‘Power of 3: Get Healthy with Whole Grain Foods’, a five-lesson classroom curriculum based on SCT, was developed and taught to children enrolled in the study on a weekly basis in the intervention school cafeteria by trained research assistants. A teacher and/or the principal attended each of the classroom lessons to provide disciplinary assistance as needed. These lessons were supplementary to the standard school curriculum.

Learning objectives and developmentally appropriate activities were based on formative data from focus group discussionsReference Burgess-Champoux, Marquart, Vickers and Reicks(11). Lessons were initially pilot-tested with 5th grade children in another school within this school district. The overall aim of this educational programme was to improve instrumental knowledge to identify whole-grain foods, enhance self-efficacy through practical experiences that emphasised selecting, tasting and preparing whole-grain foods, build menu-planning skills, practice goal-setting, and to encourage advocacy for peers and family members to increase their intake of whole-grain foods (Table 1). Each 45-minute lesson included sampling of whole-grain products and incorporation of a variety of hands-on learning experiences such as grain identification, hand milling grains into flour, reading labels, preparation of snacks, menu planning, and participation in a debate. Each child received a curriculum workbook and a set of flash cards (i.e. ‘Quiz Bowl Cards’) that contained questions regarding the key concepts discussed in class.

Table 1 Social Cognitive Theory (SCT) concepts and application

School cafeteria menu changes

The school cafeteria component focused on menu planning, product procurement, training, and quality control measures. Working with the school district nutritionist and food service director, intervention staff recommended school cafeteria menu modifications to increase the availability of whole-grain foods served to children in the intervention school. The overall goal was to offer the equivalent of one whole-grain serving to children on a daily basis at lunch by replacing refined-grain products with whole or partial whole-grain counterparts. Targeted food products included pizza, pasta, tortillas, buns and rolls made with white and red whole wheat flour or barley flour. Whole-grain products were provided by a food manufacturer or a local vendor for school lunch meals and take-home snacks. Grant funding offset additional costs associated with the proposed menu changes. New products were sampled and evaluated by intervention and food service staff prior to incorporation into the school meals.

School food service staff (cook manager and all serving staff) attended a one-hour training session regarding the programme objectives. Site visits were made by the research staff two or three times per week throughout the intervention to monitor implementation of the proposed menu changes. A quality control log was completed during each visit and feedback was provided to the food service supervisor. Randomly selected one-week menus were analysed for whole-grain content before and after the intervention. School meals at both the intervention and comparison schools provided 0·09 (standard deviation 0·17) mean servings of whole grains per day at baseline. No differences in the availability of whole-grain foods included in school meals were noted at baseline between the intervention and comparison schools.

Family component

The family component included weekly parent newsletters, bakery and grocery store tours, and a ‘Whole Grain Day’ event at a local milling museum. The overall aim of the family component was to increase the availability of whole-grain foods in the home environment, to encourage parental role modelling for consuming whole-grain foods, and to promote a dialogue between parents and children regarding the inclusion of whole-grain foods within the context of a healthy diet.

Local bakery tours led by a character depicting a kernel of wheat provided children and their families with an up-close view of grain milling and bread preparationReference Anon(12). The grocery tour programme included a brief classroom lesson combined with a guided tour. Parent/child pairs received a ‘Hunt for Whole Grains’ treasure map which they utilised to learn strategies for identifying whole-grain foodsReference Lafferty, Marquart and Reicks(13). At the conclusion of the intervention programme, children and their families were invited to attend a ‘Whole Grain Day’ at a local milling museum. Children participated in a Quiz Bowl event to demonstrate their acquired knowledge and skills regarding whole-grain foods.

Measurement

Measures with children

Dietary intake of children. Pre/post lunch meal observations of children were conducted at both the intervention and comparison school to estimate whole-grain intake at lunch. Each child was observed once at baseline and again post-intervention. Intervention staff completed ten hours of combined didactic and practicum training that focused on visual portion size estimation and data entry. To determine the amount of food consumed by each child, meal observers recorded the amount of each food served at the beginning of lunch and subtracted the measured amounts remaining on the tray at the end of lunch.

Challenges inherent to direct meal observation include ensuring adequate agreement among multiple observers, recording the intake of children who consume packed lunches prepared at home, and limits regarding the number of children who can be observed simultaneouslyReference Baglio, Domel Baxter, Gunn, Thompson, Schaffer and Frye(14Reference Gray, Lytle, Mays, Taylor, Perry and Story16). To ensure a high level of consistency between the different observers (n = 5), interobserver reliability assessments were completed at baseline and throughout the intervention. Previous studies have defined an adequate level of agreement as ≥85 %Reference Simons-Morton, Forthofer, Wei Huang, Baranowski, Reed and Fleishman(15, Reference Baranowski, Dworkin, Henske, Clearman, Dunn, Nader and Hooks17). Overall mean agreement across the five observers based on six assessments was 91 %.

Meal observation and menu data were analysed using the Nutrition Data System for Research software, version 2005 (University of Minnesota, St. Paul, MN, USA), by a Nutrition Coordinating Center-certified interviewer. Servings of whole grains were calculated using the food group serving count system (based on the 2005 Dietary Guidelines for Americans(18)), which categorises grain and grain-based products into three subgroups: whole grain (WG), some whole grain (SWG) and refined grain (RG). WG was defined as a product in which the first ingredient on the label is a whole grain; SWG included products containing a whole-grain or partial whole grain-ingredient anywhere else on the label; and RG included products with no whole-grain ingredients on the label. No differences in whole-grain consumption by children for the three grain categories or for associated nutrient intake were noted between the intervention and comparison schools at baseline.

Measurement variables related to SCT for children. A questionnaire designed to assess psychosocial variables for children – specifically knowledge, usual food choice, availability and self-efficacy – was developed and tested prior to use in this intervention. Development of the questionnaire items was based on existing instruments tested and validated regarding intake of other foodsReference Bere and Klepp(19Reference Parcel, Edmundson, Perry, Feldman, O’Hara-Tompkins, Nader, Johnson and Stone22). Internal consistency for the child scales ranged from 0·48 to 0·74. The group-administered questionnaire contained multiple choice, yes/no and 3- to 5-point scale items.

Ability to identify a whole-grain food when given two options (i.e. whole- vs. refined-grain products) reflected knowledge and was measured using a 7-item scale in which summed scores ranged from 0 to 6 with 1 point assigned to each correct answer (i.e. brown rice vs. white rice). Usual food choice was measured using a 7-item scale in which summed scores ranged from −7 to +7 with 1 point assigned to each whole-grain choice (i.e. ‘Which rice would you choose to eat?: Brown rice or white rice’). Availability of whole-grain foods in the home was measured using a 9-item scale in which summed scores ranged from 9 to 27 (i.e. ‘In my home there is whole-grain bread for me to have a sandwich: almost never = 1, sometimes = 2, or almost always = 3’). Self-efficacy was measured using a 7-item scale in which summed scores ranged from 7 to 21 (i.e. ‘I can pick whole-grain foods even when my friends don’t choose them: I’m not sure I can = 1, I’m a little bit sure I can = 2, or I know I can = 3’).

Measures with parents

Measurement variables related to SCT for parents. A questionnaire designed to assess psychosocial variables for parents – specifically frequency of whole-grain intake, availability of whole-grain foods in the home and role modelling – was also developed and tested prior to use in this pilot intervention. Development of the questionnaire items was based on existing instruments tested and validated regarding intake of other foodsReference Bere and Klepp(19, Reference Marsh, Cullen and Baranowski23). The self-administered questionnaire containing multiple choice, yes/no and 3- to 5-point scale items was completed at home by parents and returned to school. A 12-item food frequency section modified from the Block Food Frequency QuestionnaireReference Block, Hartman, Dresser, Carroll, Gannon and Gardner(24) measured the frequency of consuming selected whole- and refined-grain foods over the past month. Frequency intervals ranged from never to two or more times per week. Availability of whole-grain foods in the home over the past week was measured using a 12-item scale (including nine whole-grain and three refined-grain foods) and response options of yes or no.

Additional items regarding parental modelling, enabling behaviours and expectations (n = 17) were subjected to principal components analysisReference Cody and Smith(25). An a priori determination using theoretical constructs from SCT yielded three distinct subscales for parents: a role modelling scale (five items) (i.e. ‘How often do you set an example for your child by doing the following: eat whole-grain cereal for breakfast; scaled from 1 to 5 where never = 1, rarely = 2, some of the time = 3, most of the time = 4, or always = 5’), an enabling behaviour scale (four items) (i.e. ‘How often do you buy whole-grain foods when shopping for groceries: scaled from 1 to 5 where never = 1, rarely = 2, some of the time = 3, most of the time = 4, or always = 5’), and a whole-grain health benefits scale (three items) (i.e. ‘Getting enough whole grains can help me have a healthy weight: scaled from 1 to 5 where strongly disagree = 1, disagree = 2, don’t know = 3, agree = 4, or strongly agree = 5’). Internal consistency for the three parent scales ranged from 0·63 to 0·81.

Statistical analyses

Data were analysed using the Statistical Analysis System statistical software package version 9.1.3 (SAS Institute, Cary, NC, USA). All P values were two-sided and the significance level was set at P < 0·05. Descriptive statistics were used to describe demographic characteristics, intake of whole-grain foods, process evaluation measures and psychosocial variables related to SCT. Whole-grain intake of children, a continuous independent variable, was adjusted for positive skewness with log transformation. Paired t tests were used to determine differences between the pre- and post-test measures for children and parents in both the intervention and comparison schools. Analysis of variance was used to detect significant changes in difference values between the intervention and comparison schools. Cronbach alpha coefficients were calculated to assess the internal consistency for each scale. With only one school per condition it is impossible to deconfound the experimental effect from any school-by-time component of variance arising from homogeneity of change with schoolsReference Murray(26). In the discussion of study limitations below we use an external estimate of the intraclass correlation (ICC) for change to indicate that the major conclusions are robust to this limitation. For this feasibility study, for simplicity, we present standard errors without inflation.

Results

Demographic characteristics of participants

A total of 67 parent/child pairs in the intervention school and 83 parent/child pairs in the comparison school participated in this pilot study. Mean age of the children was 10 years with approximately 45 % male and 55 % female. About half were in the 4th grade and half in the 5th grade. Frequency of consuming school lunch three or more times per week was similar for children in both schools at baseline. Nearly all children lived in households with two adults. Mean age of the parents was 40 years, the majority were female, well-educated, and approximately half were employed full-time. There were no significant differences in demographic characteristics for participants in the intervention and comparison schools at baseline except for race. Our intervention sample was 48 % white versus 72 % white for the total group of eligible 4th and 5th grade students. Demographic characteristics of the participants are presented in Tables 2 and 3.

Table 2 Demographic characteristics of the children at baseline

sd, standard deviation.

P value based on t test statistic.

P value based on χ 2 statistic.

§Percentages may not add up to 100 due to rounding.

∥Percentages >100 reflect that children could mark more than one race/ethnicity category.

Table 3 Demographic characteristics of the parents at baseline

sd, standard deviation; GED, General Educational Development.

P value based on t test statistic.

P value based on χ 2 statistic.

§Percentages may not add up to 100 due to rounding.

Intervention effects for children

Intake of whole-grain foods and food service outcomes

There was significantly greater availability of whole-grain foods in the lunches of children in the intervention school compared with the comparison school post-intervention (P < 0·0001) (Table 4). Availability was assessed by the intervention staff using selected meal observation days and included both food items purchased from school meals and packed lunches prepared at home. In the intervention school, an average of 0·09 mean WG servings were offered to children per day pre-intervention (i.e. foods with a whole grain as the first ingredient; based on eight menu days over a three-week period). However, during the post-intervention period, an average of 1·7 mean WG servings were offered to children per day (based on seven menu days over a three-week period).

Table 4 Changes in grain, energy and nutrient intakes by category for children

sd, standard deviation.

*Significant pre/post difference within schools: P < 0·05.

†Difference = Post – Pre.

A positive change suggested by the intake data from this pilot study was that consumption of whole grains at the lunch meal increased by approximately 1 serving (P < 0·0001) and consumption of refined grains decreased by approximately 1 serving (P < 0·001) for children in the intervention school compared with the comparison school post-intervention. Table 4 summarises the changes in grain, energy and nutrient intakes by category for children. Changes in intakes of dietary fibre (P = 0·001), riboflavin (P = 0·03) and iron (P = 0·04) were higher for children in the intervention school compared with the comparison school post-intervention. No significant differences were observed between schools for energy, thiamin, niacin and folate intake. The differences between schools for refined-grain intake, fibre, riboflavin and iron may be partly attributable to small decreases in intake by children in the comparison school. Modifying a variety of grain selections in the school cafeteria on a daily basis (i.e. whole-grain bread in place of white bread, whole-grain pasta in place of refined pasta, and utilising whole wheat flour in mixes instead of enriched white flour) accounted for the observed differences in availability and intake of whole-grain foods by children.

Measurement variables for children

Changes in psychosocial variables for children are presented in Table 5. Children in both the intervention and comparison schools demonstrated an increased ability to identify a whole-grain food, which reflected knowledge; however, a greater upward trend was noted for children in the intervention school (P = 0·06). No significant differences were observed for usual food choice, availability of whole-grain foods in the home or self-efficacy for children.

Table 5 Changes in psychosocial variables related to Social Cognitive Theory (SCT) for children and parents

sd, standard deviation.

*Significant pre/post differences within schools: P < 0·05.

†Difference = Post – Pre.

Intervention effects for parents

Measurement variables for parents

Changes in psychosocial variables for parents are presented in Table 5. Self-reported intake of refined-grain foods decreased significantly for parents in the intervention school compared with the comparison school post-intervention (P < 0·01). Pre/post changes in role modelling (P < 0·001) and enabling behaviours (P < 0·05) were significantly greater for the intervention school than for the comparison school. No differences in perceptions of whole-grain health benefits or reported availability of whole-grain foods in the home were noted for parents.

Programme implementation

Feedback from parents regarding the newsletters and overall satisfaction with the programme was positive. The majority of parents (78 %) reported receiving most/all of the newsletters and greater than half (69 %) read most/all of them. Less than half (40 %) completed most/all of the parent/child activities. Overall participation in family activities was as follows: Quiz Bowl event at museum, 25 %; bakery tour, 38 %; grocery store tour, 16 %. The cafeteria log indicated that throughout the intervention whole-grain foods were served in the school cafeteria as planned 92 % of the time. Most children participated in four (19 %) or five (78 %) classroom lessons. Completion of the in-class curriculum workbook activities was achieved by nearly all of the children (94 %).

Discussion

Outcomes from this feasibility study involving a multi-component school-based intervention are suggestive of positive changes in the availability of whole-grain foods in the school environment and the consumption of whole-grain foods by children. Given that the typical intake of whole-grain foods by children has been only 0·8–1·0 mean servings per day(7), these positive findings have the potential to impact the long-term dietary habits of children. To our knowledge, this is the first reported multi-component school-based intervention designed to test the feasibility of increasing the intake of whole-grain foods by children. At the time the pilot study was conducted, the availability of whole-grain foods for school food service settings and awareness of these foods by food service staff were limited. Therefore this study represents important initial work in this setting to improve access to whole-grain foods by children.

Knowledge of whole-grain foods increased by children in both the intervention and comparison schools, although the intervention failed to produce significant changes in usual food choice, availability and self-efficacy related to children. Knowledge gains were reported in 71 % of nutrition education studies reviewed by LytleReference Lytle(27). Results from the present study with regard to knowledge were consistent with these previous findings. Appropriate assessment items are needed that effectively measure the self-efficacy of children to select whole-grain foods in challenging situations both within and outside the home environment. However, establishing a firm knowledge base regarding whole-grain foods (i.e. identification and health benefits) is an essential first step before self-efficacy to select whole-grain foods in a variety of situations can be conceptualised. Furthermore, recent findings by Zabinski et al.Reference Zabinski, Daly, Norman, Rupp, Calfas, Sallis and Patrick(28) suggested that the concept of self-efficacy may be closely associated with developmental stage. Self-efficacy was a significant predictor of fruit and vegetable intake for older adolescents (13–15-year-olds) but not for younger adolescents (11–12-year-olds). Our observed lack of change in the self-efficacy of 4th and 5th grade children may be attributed to this assumption.

Food preference development in children occurs through repeated tasting experiences with foods. Preference has been shown to be a major predictor of fruit and vegetable intake in previous studies with school-aged childrenReference Vereecken, Van Damme and Maes(29Reference Domel, Thompson, Davis, Baranowski, Leonard and Baranowski31). Our pilot study supports the concept that whole-grain foods need to be available in schools to allow for frequent taste exposures for children. A potential barrier to enhanced preference of whole-grain foods by children may lie in the texture and appearance of whole-grain products as children tend to prefer foods with simple, smooth textures(32). Utilising white whole wheat as an alternative to red wheat and changes in the milling and processing of whole grains may result in the development of new products that children find acceptableReference Smith Edge, Miller Jones and Marquart(33).

This pilot study also suggested that parents in the intervention school had significantly higher role modelling and enabling behaviour scores post-intervention compared with parents in the comparison school. However, the intervention failed to produce significant changes related to the frequency of whole-grain intake, availability of whole-grain foods in the home and perceptions of health benefits for parents. This finding is not surprising given that the mean scores for the whole-grain health benefits and home availability scales were quite high at baseline, leaving limited room for improvement. A possible explanation for the minimal change in home availability of whole-grain foods could be the confusion and difficulties associated with identifying whole-grain foods at the point of purchase for consumers. Barriers related to identification lead to decreased selection and subsequently limited availability of whole-grain foods in the home. An important prerequisite is educating parents about the importance of repeated taste experiences with new whole-grain foods for their children combined with creative ways to incorporate these foods into family meals.

Despite offering creative family-oriented activities, overall parent involvement with the programme was low; a finding that is consistent with previous nutrition interventionsReference Harrington, Franklin, Davies, Shewchuk and Brown Binns(34, Reference Nader, Sellers, Johnson, Perry, Stone, Cook, Bebchuk and Luepker35). In contrast to these findings, Perry et al.Reference Perry, Luepker, Murray, Kurth, Mullis, Crockett and Jacobs(36) reported that parental involvement in an intervention programme is feasible and a critical component that enhances positive behavioural changes for school-aged children. The Hearty Heart and Friends Program utilised an approach that was ‘do-at-home, game-oriented, and easy’. Identification of parent-friendly strategies that promote active sustained participation is critical to the overall effectiveness and sustainability of an intervention programme. In terms of our findings, extending the length of our intervention programme (i.e. providing an increased dose) may have increased the availability of whole-grain foods in the home environment and intake by parents.

This pilot project had several strengths and limitations that need to be addressed when interpreting the findings. Strengths of this project included development of a multi-component, school-based intervention based on the model of previously successful interventions to increase fruit and vegetable intake of children. Second, mediating variables were included within the intervention model which previously had been shown to be amenable to behavioural change in children based on a review of the literature. Finally, a comprehensive nutrient software program with whole-grain food grouping capabilities was used to estimate whole-grain intake of children using data obtained from meal observations.

This pilot study was designed to provide limited information from two schools about the feasibility of an intervention in preparation for a larger controlled, randomised school-based study. A major limitation is that the data are insufficient to deconfound the experimental effect from any school-by-time component of variance. Preliminary external data of whole-grain intake in children in grades 4–6 in four schools yielded an estimate of the ICCschool × time (ICCs × t) for change as 0 (PJ Hannan, personal communication). If we use this external estimate of ICCs × t the standard errors and P values would be as shown. However this estimate is itself imprecise; the ICCs × t is less than 0·02 with about 50 % probability. If ICCs × t = 0·02 the standard errors should be inflated by = 1·5Reference Kish(37). The conclusions regarding the two major outcomes related to whole- and refined-grain intake (Table 4) would remain. Use of a convenience sample limited the generalisability to other population groups. Other potential limitations included race/ethnicity differences between schools and the short duration of the intervention programme. Although racial/ethnic differences were observed between participants in the two schools due to challenges in recruitment for the intervention school, this finding did not appear to adversely affect the observed outcomes. Overall, positive behavioural changes (i.e. increased intakes of whole grains, increased knowledge of whole-grain foods) were observed for children in the more ethnically diverse school. Selection bias in this pilot study is a concern due to the constraints associated with recruitment of 5th grade students in the intervention school and the large respondent burden for parents and children. Interventionists may encounter barriers unique to the school environment that may affect recruitment and selection of participants. This study was conducted with external personnel teaching the lessons, working with food service professionals to modify menus, and conducting the family events. Therefore a limitation of the study is the lack of information on the feasibility of classroom teachers implementing the programme. External support may be needed for future implementation which includes activities conducted outside the classroom. Furthermore, the low alpha coefficients for whole-grain knowledge and availability measures are a limitation and indicate that further psychometric development of these measures is required. In addition, although meal observations are a reliable method for collecting dietary intake data of children, potential observer errors including the fact that the observers were unblinded to the intervention group could have resulted in under- or over-reporting of whole-grain intake of children.

Application

Findings from this pilot study demonstrated that whole-grain foods can be successfully incorporated into the school environment and that greater availability can result in increased whole-grain consumption by children to levels closer to current recommendations. Changes brought about by this intervention programme are expected to contribute to overall improvement in eating habits and long-term health of children. The successful outcome of this research has direct relevance to the National School Lunch Program and policies regarding the inclusion of additional whole-grain foods served in school meals. Collaborative research endeavours between academia and industry in the future could result in the development of consumer-friendly whole-grain products.

Future research aimed at the implementation of a randomised, multi-component school-based intervention on a broader scale is recommended with a study design that would allow for independent measurements of the effect size of the three experimental components on whole-grain consumption (cafeteria menu modification, classroom curriculum and family involvement component). Many previous interventions to change the dietary intake of children have been multi-component based on behaviour change theories and have not measured the separate effects of the individual components. Given that parental involvement in the current pilot study was low (25 %) and costly in terms of implementation, having measures of the separate effects of the individual components would allow interventionists to select the most effective components that produce increased intake. Furthermore, additional research that addresses the availability of whole-grain foods in the marketplace and the effectiveness of messages on product labels directed to consumers is needed.

Acknowledgements

This pilot study was supported by a grant from the Allen Foundation Michigan. The authors wish to thank the children and parents who participated in this study. We also recognise the invaluable contributions of the following: teachers, principals and food service staff of the Hopkins School District, Great Harvest Bread Company, Con Agra Foods, Inc., Cub Foods, Supervalu Eden Praire, MN and Mill City Museum Minneapolis, MN.

References

1.Slavin, J (2004) Whole grains and human health. Nutr Res Rev 17, 112.CrossRefGoogle ScholarPubMed
2.Slavin, JL, Jacobs, D, Marquart, L & Wiemer, K (2001) The role of whole grains in disease prevention. J Am Diet Assoc 101, 780785.CrossRefGoogle ScholarPubMed
3.US Department of Agriculture, Center for Nutrition Policy and Promotion (2005) The Food Guide Pyramid. Washington, DC: US Government Printing Office.Google Scholar
4.US Department of Health and Human Services, Office of Disease Prevention and Health Promotion (2000) Healthy People 2010, vols. I and II. Washington, DC: US Government Printing Office.Google Scholar
5.Krauss, R, Eckel, R, Howard, B, Daniels, S, Kris-Etherton, P, Lichtenstein, A, Wylie-Rosett, J & Bazzarre, T (2001) American Heart Association Dietary Guidelines. Revision 2000: A statement for healthcare professionals from the Nutrition Committee of the American Heart Association. Circulation 102, 2284.CrossRefGoogle Scholar
6.Kushi, LH, Byers, T, Doyle, C, Bandera, EV, McCullough, M, McTiernan, A, Gansler, T, Andrews, KS & Thun, MJ; American Cancer Society (2006) Nutrition and Physical Activity Guidelines Advisory Committee. American Cancer Society Guidelines on Nutrition and Physical Activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin 56, 254281.CrossRefGoogle ScholarPubMed
7. Cook AJ & Friday JE (2005) CNRG Table Set 3.0: Pyramid Serving Intakes in the United States, 1999–2002, 1 Day. Beltsville, MD: US Department of Agriculture, Agricultural Research Service; available at http://www.ars.usda.gov/Services/docs.htm?docid=8503Google Scholar
8. United States Department of Agriculture, Food and Nutrition Service (2007) National School Lunch Program. http://www.fns.usda.gov/cnd/Lunch/AboutLunch/NSLPFactSheet.pdf (accessed November 2007).Google Scholar
9.Baranowski, T, Perry, CL & Parcel, GS (2002) How individuals, environments, and health behavior interact: social cognitive theory. In Health Behavior and Health Education: Theory, Research, and Practice, 3rd ed., pp. 165184 [K Glanz, FM Lewis and BK Rimer, editors]. San Francisco, CA: Jossey-Bass.Google Scholar
10.French, SA & Stables, G (2003) Environmental interventions to promote vegetable and fruit consumption among youth in school settings. Prev Med 37, 593610.CrossRefGoogle ScholarPubMed
11.Burgess-Champoux, T, Marquart, L, Vickers, Z & Reicks, M (2006) Perceptions of children, parents and teachers regarding whole grain foods and implications for a school-based intervention. J Nutr Educ Behav 38, 230237.CrossRefGoogle ScholarPubMed
12.Anon, (2006) Program schools children in whole grain nutrition. Today’s Dietitian 8, 66.Google Scholar
13.Lafferty, A, Marquart, L & Reicks, M (2006) Hunt for whole grains in the grocery store. J Nutr Educ Behav 38, 197198.CrossRefGoogle Scholar
14.Baglio, ML, Domel Baxter, S, Gunn, CH, Thompson, WO, Schaffer, NM & Frye, FHA (2004) Assessment of interobserver reliability in nutrition studies that use direct observation of school meals. J Am Diet Assoc 104, 13851392.CrossRefGoogle ScholarPubMed
15.Simons-Morton, BG, Forthofer, R, Wei Huang, I, Baranowski, T, Reed, DB & Fleishman, R (1992) Reliability of direct observation of schoolchildren’s consumption of bag lunches. J Am Diet Assoc 92, 219221.CrossRefGoogle ScholarPubMed
16.Gray, C, Lytle, LA, Mays, R, Taylor, G, Perry, C & Story, M (2002) Foods on student’s trays when they leave the cafeteria line as a proxy for foods eaten at lunch in a school-based study. J Am Diet Assoc 102, 407409.CrossRefGoogle Scholar
17.Baranowski, T, Dworkin, R, Henske, JC, Clearman, DR, Dunn, JK, Nader, PR & Hooks, PC (1986) The accuracy of children’s self-reports of diet: Family Health Project. J Am Diet Assoc 86, 13811385.CrossRefGoogle ScholarPubMed
18.US Department of Health and Human Services and US Department of Agriculture (2005) Dietary Guidelines for Americans, 2005, 6th ed.Washington, DC: US Government Printing Office.Google Scholar
19.Bere, E & Klepp, KI (2003) Reliability of parental and self-reported determinants of fruit and vegetable intake among 6th graders. Public Health Nutr 7, 353356.CrossRefGoogle Scholar
20.Stevens, J, Cornell, CE, Story, M, French, SA, Levin, S, Becenti, A, Gittelsohn, J, Going, SB & Reid, R (1999) Development of a questionnaire to assess knowledge, attitudes, and behaviors in American Indian children. Am J Clin Nutr 69, 773S781S.CrossRefGoogle ScholarPubMed
21.Birnbaum, AS, Lytle, LA, Murray, DM, Story, M, Perry, CL & Boutelle, KN (2002) Survey development for assessing correlates of young adolescent’s eating. Am J Health Behav 26, 284295.CrossRefGoogle ScholarPubMed
22.Parcel, GS, Edmundson, E, Perry, CL, Feldman, HA, O’Hara-Tompkins, N, Nader, PR, Johnson, CC & Stone, EJ (1995) Measurement of self-efficacy for diet-related behaviors among elementary school children. J Sch Health 65, 2327.CrossRefGoogle ScholarPubMed
23.Marsh, T, Cullen, KW & Baranowski, T (2003) Validation of a fruit, juice, and vegetable availability questionnaire. J Nutr Educ Behav 35, 9397.CrossRefGoogle ScholarPubMed
24.Block, G, Hartman, AM, Dresser, CM, Carroll, MD, Gannon, J & Gardner, L (1986) A data-based approach to diet questionnaire design and testing. Am J Epidemiol 124, 453469.CrossRefGoogle ScholarPubMed
25.Cody, RP & Smith, JK (2006) Applied Statistics and the SAS Programming Language, 5th ed. Upper Saddle River, NJ: Pearson Prentice Hall.Google Scholar
26.Murray, DM (1998) The Design and Analysis of Group Randomized Trials. New York: Oxford University Press.Google ScholarPubMed
27.Lytle, L (1994) Nutrition Education for School-aged Children: A Review of Research, pp. 1–63. Washington, DC: Office of Analysis and Evaluation.Google Scholar
28.Zabinski, MF, Daly, T, Norman, GJ, Rupp, JW, Calfas, KJ, Sallis, JF & Patrick, K (2006) Psychosocial correlates of fruit, vegetable, and dietary fat among adolescent boys and girls. J Am Diet Assoc 106, 814821.CrossRefGoogle ScholarPubMed
29.Vereecken, CA, Van Damme, W & Maes, L (2005) Measuring attitudes, self-efficacy, and social environmental influences on fruit and vegetable consumption of 11- and 12-year old children: reliability and validity. J Am Diet Assoc 105, 257261.CrossRefGoogle Scholar
30.De Bourdeaudhuij, I, Klepp, KI, Due, P, Perez Rodrigo, C, de Almeida, MDV, Wind, M, Krolner, R, Sandvik, C & Brug, J (2004) Reliability and validity of a questionnaire to measure personal, social and environmental correlates of fruit and vegetable intake in 10–11-year old children in five European countries. Public Health Nutr 8, 189200.CrossRefGoogle Scholar
31.Domel, SB, Thompson, WO, Davis, HC, Baranowski, T, Leonard, SB & Baranowski, J (1996) Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Educ Res 11, 299308.CrossRefGoogle Scholar
32. Urbick B (2002) Kids have great taste: an update to sensory work with children. Presented at Annual Meeting Institute of Food Technologists, Anaheim, CA, 15–19 June.Google Scholar
33.Smith Edge, M, Miller Jones, J & Marquart, L (2005) A new life for whole grains. J Am Diet Assoc 105, 18561860.CrossRefGoogle Scholar
34.Harrington, KF, Franklin, FA, Davies, SL, Shewchuk, RM & Brown Binns, M (2005) Implementation of a family intervention to increase fruit and vegetable intake: The Hi5+ experience. Health Promot Pract 6, 180189.CrossRefGoogle ScholarPubMed
35.Nader, PR, Sellers, DE, Johnson, CC, Perry, CL, Stone, EJ, Cook, KC, Bebchuk, J & Luepker, RV (1996) The effect of adult participation in a school-based family intervention to improve children’s diet and physical activity: The Child and Adolescent Trial for Cardiovascular Health. Prev Med 25, 455464.CrossRefGoogle Scholar
36.Perry, CL, Luepker, RV, Murray, DM, Kurth, C, Mullis, R, Crockett, S & Jacobs, DR (1998) Parent involvement with children’s health promotion: The Minnesota home team. Am J Public Health 78, 11561160.CrossRefGoogle Scholar
37.Kish, L (1965) Survey Sampling. New York: John Wiley and Sons.Google Scholar
Figure 0

Fig. 1 Flow diagram of the study design

Figure 1

Table 1 Social Cognitive Theory (SCT) concepts and application

Figure 2

Table 2 Demographic characteristics of the children at baseline

Figure 3

Table 3 Demographic characteristics of the parents at baseline

Figure 4

Table 4 Changes in grain, energy and nutrient intakes by category for children

Figure 5

Table 5 Changes in psychosocial variables related to Social Cognitive Theory (SCT) for children and parents