Abstract
We examined evidence regarding the influence of school physical environment on healthy-eating outcomes. We applied a systems perspective to examine multiple disciplines’ theoretical frameworks and used a mixed-methods systematic narrative review method, considering both qualitative and quantitative sources (published through March 2014) for inclusion.
We developed a causal loop diagram from 102 sources identified. We found evidence of the influence of many aspects of a school’s physical environment on healthy-eating outcomes. The causal loop diagram highlights multilevel and interrelated factors and elucidates the specific roles of design and architecture in encouraging healthy eating within schools.
Our review highlighted the gaps in current evidence and identified areas of research needed to refine and expand school architecture and design strategies for addressing healthy eating.
Children’s and adolescent’s diets have deteriorated in nutritional quality over the past 3 decades, contributing to increased rates of childhood obesity.1,2 The proportion of children’s total energy intake from sugar-sweetened beverages has doubled, and their fruit and vegetable consumption has significantly decreased.3,4 Schools have substantial opportunities to address healthy eating because of their role in education and socialization and because they are a major source of food access, contributing up to 50% of many students’ daily energy intake.5 However, in isolation, school-based nutrition education has not been proven to be consistently effective. This knowledge has driven interest and investment in development of new intervention strategies, including multifaceted approaches to creating school environments conducive to healthy eating.6,7
An emerging area of investigation is the role of a school facility’s physical design (e.g., siting, architecture, landscape features) as a mediator of healthy-eating behaviors and attitudes among children.7 Recently, interdisciplinary teams have begun to consider the potential of whole-building design to integrate multiple objectives throughout an entire built project to achieve optimum performance.8 In a similar fashion, Huang et al. used a systems-based approach and translated theory, research, and practice-based evidence into the Healthy Eating Design Guidelines (HEDGs) for School Architecture. (A description of the collaborative process and items included in the initial version of the HEDGs was published previously.9) The HEDGs describe 10 spatial domains, each with a design-oriented objective and corresponding physical environment strategies (Table 1). These strategies incorporate a systems perspective, taking into account the interactions between spaces throughout the whole school building and its occupants as a system to facilitate and encourage healthy-eating practices and behaviors.
TABLE 1—
Healthy Eating Design Guideline Domains, Objectives, and Design Strategies
| Domain | Objective | Sample Strategies |
| Commercial kitchen | Design an open commercial kitchen to facilitate the procurement, preparation, and storage of fresh, organic, whole foods that are prepared in a manner to preserve nutritional value. | Provide kitchen equipment such as ovens, tilt skillets, and steamers that allow for a variety of cooking methods for fresh foods. Provide sufficient counter or work space for processing of fresh foods. |
| Teaching kitchen | Design complementary hands-on teaching kitchen areas for students and extracurricular organization use. | Provide areas conducive to teaching, presentation, and demonstration cooking. Create teaching kitchen as a hands-on learning environment with equipment that is safe and accessible to children. |
| Serving | Design cafeteria to function efficiently to maximize dining time for students, while effectively encouraging the selection and enjoyment of healthy foods and beverages. | Provide space for healthy grab-and-go meal options in the snack or express line. Provide space for multiple healthy choices in each food category (celery and carrots). Position salad bars away from walls for 360° circulation. |
| Dining | Reconceive dining areas as places of enjoyment and relaxation, configured to fully support healthy food initiatives. | Design dining areas to recognized national standard for seating capacity, to avoid overcrowding. Create a variety of seating options and social arrangements, recognizing that not all students will be comfortable in a given configuration. |
| Aesthetics of healthy food environments | Design spaces to provide a relaxing atmosphere conducive to the enjoyment of food and social interaction. | Incorporate appealing colors and lighting. Feature fresh, preserved, or prepared food in public spaces. |
| Educational signage, wayfinding, and marketing | Deploy graphic design and signage elements throughout the school environment to reinforce the healthy-eating message. | Provide educational (nutritional) information on food choices. Highlight information on seasonal fresh foods incorporated into the school food program. Locate educational signage so that it is visible from the “point of choice” in the server zone. |
| Water access and vending machines | Support healthy eating through design and policy strategies focused on the school physical environment that facilitate access to drinking water and discourage unhealthy food and drink choices from vending machines. | Provide ready access to potable water and cups in dining areas. Replace vending machine content with healthy food and beverage options. |
| On-site food production | Provide spaces for on-site food cultivation and production, coordinated with curricular and extracurricular activities. | Create a school garden. Include on-site food production resources (e.g., garden, greenhouse) in construction documents for building facility, where possible. |
| Integrated healthy food education facilities | Identify and provide programming opportunities to extend healthy food messaging throughout the school. | Provide a school wellness center readily accessible to all students, designed to support nutritional counseling and integrated with related school functions such as the health educator or school nurse. Design food spaces to support curricular and extracurricular activities and community education. |
| Integrated healthy food community | Support healthy eating and local food production in the community. | Design food spaces for flexibility and multiple uses by the school, school affiliates, and community groups. Provide community garden space for local use. |
Source. Adapted from Huang et al.9
THEORETICAL FRAMEWORKS RELEVANT TO THE HEDGs
The HEDG systems-based approach requires understanding theories and frameworks from multiple disciplines and across individual, social, organizational, and community levels (Figure 1). The HEDG domains and strategies use these theories and frameworks to consider the transactions that occur between the environment and individual or group behavior across these levels. Thus, the physical environment can influence healthy eating through multiple pathways.
FIGURE 1—
Major theoretical frameworks for school physical environment influences on healthy eating, their respective levels of impact (building from individual- to community-level impacts from bottom to top), and corresponding examples of healthy eating targets.
Behavioral economics and salutogenesis provide a basis to understand physical environment influences at the individual level. Many strategies from the HEDG domains (e.g., serving, educational signage and water access and vending machine) draw on research in behavioral economics. This research has found that for most individuals, food consumption decisions are low in cognitive involvement and are shaped by environmental cues that range from the room, the furniture, and the container to the food itself.10 Visual cues (e.g., the way food is served, organized, and arranged) influence choices and consumption by shaping accessibility, reflecting social norms, and increasing salience of healthy-eating choices.10,11 The theory of salutogenesis guides many of the HEDG dining and aesthetics domain strategies. Salutogenesis asserts that an individual’s motivation to engage in health-promoting (as opposed to risky) behaviors can be positively or negatively affected by internal and external stimuli; this perspective furthers understanding of physical environment influences on eating behavior.12 Limited research has explored this theory in relation to children's dietary behaviors; however, commercial marketing practices that use aesthetics (e.g., color, sounds, spatial layout) to entice customers underscore its potential.13
HEDG strategies also use social cognitive theory and proxemics to understand physical environment influences at the interpersonal level. Interventions that rely on social cognitive theory use techniques, such as observational and experiential learning, that involve social interaction with and within physical spaces featured in several HEDG domains (e.g., teaching kitchen, on-site food production).14 These strategies seek to affect dietary behavior by improving constructs such as healthy-eating social norms and self-efficacy. Like social cognitive theory, theories of proxemics and environmental psychology draw on interrelationships between social behavior and space and consider how individuals actively perceive, construct meanings, and use space through social interactions.7,15,16 These theories have not been applied to healthy-eating interventions, but they have been used in the physical design of school buildings. The transactional nature between physical and social environments became clear during the 1970s when new school designs featured open-space planning that necessitated divergence from traditional teaching styles.17–19 Changes to classroom features have been shown to alter both teaching methods and student learning behaviors; for example, reading nooks affect children’s reading behaviors.20
HEDG strategies also draw on frameworks that recognize the transactions between the physical environment and organizational-level constructs such as social structures, hierarchies, and behavioral patterns.21–25 Architecture has been shown to stabilize and give durability to these constructs by creating visual cues that symbolize shared values.23 Some school-based healthy-eating interventions have focused on changing policy and social structures,26–28 but few have considered the physical environment’s influence on organizational-level outcomes.
Diffusion of innovations provides a useful framework to clarify the potential mechanisms and pathways of physical environment influence at the organizational level.29 This theory has been applied in school settings to understand how characteristics of interventions (e.g., relative advantage, compatibility, complexity, amenability to testing, and observability) influence adoption and implementation of health promotion interventions.30,31 The physical design of school spaces can influence characteristics of healthy-eating programming and practices. For example, in the commercial kitchen domain, the HEDGs provide strategies for the school’s food production facilities that can reduce the complexity of preparing meals that include fresh fruits and vegetables. In addition, strategies pertaining to several HEDG domains (e.g., integrated healthy food education, teaching kitchen) prompt inclusion of distinct spaces to address healthy-eating education and recommend colocation to create visibility and connection to social interaction spaces (e.g., cafeteria). These spaces and their colocation increase observability of healthy eating, thereby strengthening visual cues of healthy eating as a shared organizational value.
Finally, HEDG strategies related to the integrated healthy food community and other domains are also guided by environmental and community psychology research. This field assesses how the physical environment contributes to community-level outcomes, exploring relationships with individual and social behaviors, attitudes, and perceptions of place.32–34 Research has found associations between individual social and emotional attachment to physical neighborhoods, subjective and objective neighborhood physical conditions, and health.35–39 Furthermore, place-based initiatives that foster social interaction, such as community gardens, have been found to increase the meaning of and attachment to such spaces, shape social norms, and increase collective efficacy.39,40 The importance of community outreach and engagement in school-based interventions that address healthy eating is well recognized,41 but school-based research has not considered the influence of school design and space on these outcomes.
Evidence relevant to the HEDGs and ongoing efforts to accelerate translation of evidence from environmental design and childhood obesity prevention research into real-world use have not been comprehensively consolidated. We aimed to synthesize literature regarding architecture in school settings through a systems lens to frame research findings in a school’s socioenvironmental context. We reviewed scientific literature to describe the extent of formative and outcomes evidence relevant to understanding the HEDG strategies' potential to influence healthy eating. We also created a causal loop diagram, guided by the literature, to visualize interrelationships among constructs from the theoretical frameworks.
METHODS
We conducted a comprehensive literature search (through March 2014) in the following databases: PubMed/Medline, CINAHL, Avery Index to Architectural Periodicals, psychINFO, and Educational Administration Abstracts. We used Medical Subject Headings (MeSH) search codes where possible, with the following terms: (Schools[mesh] OR school*) AND (“facility design and construction”[mesh] OR “environment design”[mesh] OR “city planning”[mesh] OR architecture OR environment OR “school design” OR “building design” OR “built environment” OR “cafeteria design” OR “canteen design”) AND (diet[mesh] OR obesity/prevention and control[mesh] OR “health promotion”[mesh] OR “Child Nutrition Sciences”[mesh] OR “Nutrition Policy”[mesh] OR “healthy eating”). For databases that did not use MeSH, we used a similar key word structure.
Inclusion Criteria
We used a mixed-methods systematic narrative review method and considered both qualitative and quantitative sources for inclusion.42 We defined qualitative studies as research contributing to process or formative knowledge through methods such as focus groups and interviews.43 We defined quantitative studies as research contributing to knowledge regarding associations and impact that used cross-sectional, longitudinal, quasi-experimental, or experimental study designs.43 We included studies of children in kindergarten through 12th grade. We excluded studies outside the school setting, as well as those in preschool and university settings. We reviewed multicomponent school-based interventions but included them in our findings only if process or outcome evidence revealed that a physical environment component specifically contributed to intervention impact. We identified 102 sources for inclusion in our review (Figure 2).
FIGURE 2—
Source inclusion process for literature review of influence of school physical environment on healthy eating.
Note. Top left box indicates the total number of records found, which were reduced through a series of exclusion processes to the 102 final sources reviewed.
We reviewed each source to identify the type of study, setting, population, frameworks or theories applied, and key findings. We used an iterative and translational process to operationalize and map the research studies to HEDG spatial domains (Table 1). This process required reconceptualizing a study’s theoretical frameworks and findings to determine their applicability to designing a school at a practical level (i.e., the HEDG spatial domains).9 Thus, studies did not always explicitly indicate a spatial element but might implicitly provide evidence of design strategies (e.g., studies related to dietary associations with accessibility of a la carte food items indicated the relevance of designing food service spaces to optimize healthy food selection). One author (L. F.) reviewed qualitative sources and identified findings relevant to physical environment influences. We identified themes among relevant findings across multiple qualitative sources and notable findings from single sources, which we conceptually mapped to the HEDG domains.
Causal Loop Diagramming
Environmental approaches generally conceptualize subdomains of influence: physical, policy, social, and cultural. These domains, however, are not mutually exclusive. Successful translation of available evidence into practice (e.g., the design of a new or renovated school to help support healthy eating) must consider these factors holistically. Strategies that target 1 dimension must consider the potential influence for addressing healthy eating in the context of the larger school system. For example, the US Department of Agriculture had to scale back school nutrition policy changes introduced in 2012 after schools reported challenges to implementing them, such as increased food waste and outdated kitchen facilities.44
Interrelationships among environments, behavior, and health outcomes are recognized across multiple theories. For example, social cognitive theory’s concept of reciprocal determinism suggests that mutual influence exists between behavior, personal factors, and environment,14 and research from the field of proxemics has supported the notion that social behaviors are influenced by perceptions and use of the physical environment.15 Although these theories indicate that relationships exist, none provide the tools needed to describe entire systems. A systems approach is needed to understand the complex interactions among individual factors, behavior, and socioenvironmental influences.45 Systems-thinking tools and techniques can help bridge multiple theories and improve understanding of interconnections and feedback loops among factors across levels of influence, including social, physical, and organizational context.46,47
Therefore, we determined constructs from identified theories, frameworks, and HEDG domains and the connections among them. We used this information to create a causal loop diagram—a graphical and visual notation for representing system structures that are difficult to describe with linear methods, cause-and-effect chains, and textual descriptions.48 Causal loop diagrams illustrate elements within a system and use arrows to establish causal links between them. The direction of the links is identified with positive and negative signs according to the respective relationships, and closed sequences of causes and effects among elements are identified as balancing or reinforcing feedback loops.
RESULTS
We located 39 sources that contributed to the qualitative findings,49–87 59 that contributed to quantitative findings,88–146 and 4 that used mixed methods and contributed to both.147–150 We identified 19 themes or notable findings from qualitative sources across all domains (Table A, available as a supplement to the online version of this article at http://www.ajph.org). Quantitative studies and their key findings are summarized by domain in Table B (available as a supplement to the online version of this article at http://www.ajph.org). The majority of studies were from the United States (n = 71) and Europe (n = 17). Australia (n = 7), Canada (n = 6), Taiwan (n = 1), Costa Rica (n = 1), and South Africa (n = 1) were also represented. One study included 18 middle-income countries (e.g., Brazil, China, Mexico). Quantitative studies were conducted with elementary students (n = 25), middle school students (n = 13), high school students (n = 4), or a combination of students across grades (n = 20). School staff participated in 25 qualitative studies, parents in 8, and children in 15.
Findings by Domain
Serving and water access and vending machine domains.
These domains had the largest bodies of evidence (31 pertained to serving and 23 to water access and vending machines). Relevant to the serving domain, qualitative studies found that youths and school staff reported short school meal times and long cafeteria service lines (n = 5)49,68–71 and easy access and appeal of unhealthy snacks and competitive foods (n = 7) as negatively affecting food choices.49,57,69.70,72–74 Two studies from Europe found that youths and teachers perceived that both limited access to and poor quality of water in the school reduced intake.80,148 In qualitative studies, school staff, parents, and youths reported that the presence of less healthful food and drinks in vending machines influenced their choices (n = 3),49,57,70 or they suggested removing vending machines or offering more healthful items to improve healthy-eating choices (n = 4).64,73,76,78
Findings were mixed among cross-sectional studies (n = 7) that assessed associations between dietary behaviors or patterns (e.g., sugar-sweetened beverage consumption, fruit and vegetable intake) and food availability via the cafeteria a la carte line (serving domain), vending machines (water access and vending machine domain), or both. With regard to food availability in vending machines, 3 of 7 studies observed associations between increased access to less healthful items and poorer dietary behaviors.97,120,128 However, 1 study found that elementary students in schools with vending machines that offered more healthful items had significantly higher intake of nutrient-poor foods.99
With regard to a la carte food availability, findings of 2 of 4 studies supported associations between food access and behaviors, both among middle school students. One study found that increased access to more healthful a la carte line items was associated with decreased consumption of sugar-sweetened beverages.99 The other study found that increased availability of less healthful items was associated with decreased intake of fruit.97
We found evidence regarding the water access and vending machines domain in 9 longitudinal, quasi-experimental, or experimental studies. Four of these studies assessed interventions that increased availability of healthful items and reduced availability of less healthful items in vending machines. One found significant improvements in uptake of targeted items, measured by sales132; in another, participants self-reported significant improvements.131 The other 5 studies implemented strategies to improve accessibility of water; 4 found significant improvements in water consumption measured either via self-report (n = 2)124,126 or observations of volume used or served (n = 2).127,148 Sugar-sweetened beverage consumption did not significantly decrease among the 3 studies that measured and reported this outcome, however.124,125,148
We found 16 studies that addressed the serving domain with a longitudinal, quasi-experimental, or experimental design that evaluated the influence of altering the accessibility of both healthful and less healthful items (e.g., adding a salad bar, introducing a healthy convenience line) on student dietary behaviors. Of these studies, 7 of 8 that used plate waste analysis,104,106,107,109,110,115,118 3 of 5 that used sales data,112,116,117 and 1 of 2 that used self-reported measures101,114 found that increased accessibility of healthful items or decreased accessibility of less healthful items improved dietary behaviors. One study collected both sales and self-reported data and found significant improvements in sales of healthier items, but no significant improvements in self-reported consumption.117
On-site food production domain.
A total of 21 studies (6 qualitative, 14 quantitative, and 1 mixed methods) were relevant to this domain; all assessed school garden programs in the United States, Australia, or the United Kingdom. Of these studies, 6 of 11 that reported dietary behavior outcomes133,137–139,141,145 and 9 of 10 that reported dietary-related psychosocial outcomes (e.g., willingness to try or preferences for vegetables)135–138,140,142,143,145,149 found significant improvements.
Qualitative studies found that school staff and youths believed that the benefits of garden programs extended beyond healthy-eating outcomes (e.g., improving social skills; n = 4)81–83,149 and that integration with other academic subjects was feasible (n = 4).83–86 On the other hand, 4 studies also discovered significant barriers to school gardening programs in the intensive time and resource requirements for ongoing maintenance.83–86
School teaching kitchens domain.
Evidence from 5 qualitative and 9 quantitative studies pertained to this domain. In the qualitative studies, youth participants in nutrition-related cooking education programs or the programs’ teachers expressed satisfaction with the programs in general (e.g., viewing them as fun and engaging).63–67 Two qualitative studies also found evidence that health-focused cooking activities were feasibly integrated with other academic topics.66,67
Seven quantitative studies assessed the impact of cooking education programs on dietary behaviors; 5 found significant increases in the consumption of targeted items such as vegetables (2 studies directly tied curricula to changes in the school cafeteria).89–91,95,96 Six of these studies also reported dietary-related psychosocial outcomes (e.g., improved fruit and vegetable preferences, cooking self-efficacy); all had significant findings.89–94
Educational signage, wayfinding, and marketing domain.
We identified 8 qualitative and 7 quantitative studies relevant to this domain. School staff, parents, and students participating in the qualitative studies identified healthy food marketing and food labeling as acceptable strategies to address healthy eating in schools (n = 6),73,74,76–79 and students in 1 study indicated that advertising in the school triggered the purchase of unhealthy foods.63 School cafeteria staff in 1 qualitative study reported that labeling strategies were easy to implement, but they did not perceive that food labeling influenced student choices.147
Two quantitative studies assessed the impact of school cafeteria labeling strategies on student food choice and consumption. One of these studies labeled vegetables with attractive names and found significant improvements in their selection and consumption.123 The other study labeled items with a traffic light system and found that servings of items with moderate nutritional quality increased but that servings of items with the lowest and highest nutritional quality did not change.147 A cross-sectional study found that branded snack logos were significantly associated with increased intake of candy and salty snacks, but sugar-sweetened beverage logos had only a marginally significant association with intake of these beverages.120
Three studies evaluated communication campaigns that included substantial print materials. One study targeted low-fat milk consumption and found that students increased selection without increasing waste.122 The other 2 studies had mixed results. A cross-sectional study assessed associations between self-reported exposure to school communication campaigns and change in dietary behaviors across 21 middle schools. Increased exposure to some, but not all, campaign messages was associated with dietary changes (e.g., exposure to “water rather than added-sugar beverages” messages was associated with significant improvement in dietary behaviors, but exposure to “high-quality rather than low-quality food” messages was not).119 An intervention with a sizable social marketing campaign to promote healthy a la carte food choices slightly increased sales of promoted items in the first year of implementation but not in the second.121
Integrated healthy food community and dining domains.
No studies provided design-specific evidence related to the integrated healthy food community domain, and we found only 1 qualitative study relevant to the dining domain, an ethnographic study of 11 primary schools in the United Kingdom. That study indicated that overcrowding in the cafeteria contributed to students’ negative social experiences.75
Aesthetics of healthy food environments and integrated healthy food education facilities domains.
Two qualitative studies reported that parents and school staff suggested improving the aesthetics of dining facilities (e.g., adding murals) to improve dietary behaviors.70,76 Another study found that students rated cafeteria aesthetics poorly but did not feel that this affected their eating choices.71
A cross-sectional study found a significant positive association between self-reported use of school-based health centers and dietary quality.146 A school-based intervention implemented a family diabetes program that included cooking preparation and demonstration; parents’ self-reported consumption of fruits or vegetables improved, but children's and parents' weight did not.150 Two qualitative studies indicated that parents were favorable toward school programs that involved them in cooking preparation activities with their children.87,150
Commercial kitchen domain.
We found zero quantitative and 14 qualitative studies relevant to this domain.49–62 Each of these studies reported that a lack of appropriate kitchen facilities and equipment hindered schools’ ability to provide meals with high nutritional quality and appeal. For example, a recent nationally representative survey of US food services directors found that 88% of respondents needed 1 or more pieces of new equipment to help them meet the recently updated Department of Agriculture dietary guidelines for school meals.52
Causal Loop Diagram
The HEDGs and reviewed studies draw upon theories from multiple disciplines and across ecological levels. Causal loop diagramming provides a visualization of the multiple and interacting pathways influencing healthy eating in the socioenvironmental context of the school (i.e., a school’s complex system for addressing healthy eating; Figure 3). This visualization elucidates feedback loops that can either reinforce or diminish changes in the system and variables that can either trigger or block these feedback loops.
FIGURE 3—

Causal loop diagram of a school’s complex system for addressing healthy eating.
Note. Items and arrows in orange show design-related influences. The 3 reinforcing loops (letter “R” circled by looping arrows) represent organizational culture (green), community-modeled learning (blue), and social norms (pink). A plus sign is used to signify that a change in one variable causes the second variable to change in the same direction, a negative sign is used to signify that a change in one variable causes the second variable to change in the opposite direction. The letter “B” circled by a looping arrow indicates a balancing loop. The triangle brackets signify the variable is a “shadow variable” (a variable that is denoted twice in the diagram).
A school’s complex system for addressing healthy eating comprises reinforcing feedback loops that involve 3 spheres of influence: (1) organizational culture, (2) community-modeled learning, and (3) social norms (respectively indicated in green, blue, and pink in Figure 3). Organizational culture consists of mutual reinforcement between the observability of and the use of healthy-eating programming, and observability is additionally connected to shared organizational values that subsequently shape motivation and implementation of healthy-eating programming and practices. Community-modeled learning comprises several feedback loops, which indicate the potential for healthy-eating programming and use of observational and experiential learning techniques to improve place attachment and parent and community outreach. Improvements to place attachment and community outreach could shape positive healthy-eating–related community values and collective efficacy that in turn improve school use of healthy-eating programming. Finally, social norms, eating behavior, and attitudes and preferences positively reinforce each other.
HEDG domains and strategies influence healthy eating through multiple paths (indicated in orange in Figure 3). Strategies associated with several HEDG domains (e.g., integrated healthy food education and community facilities) address the colocation and visual proximity of healthy-eating spaces and features, which can influence observational learning. Domains such as serving and educational signage are associated with many physical environment strategies with direct or proximal influence on children’s healthy-eating behaviors (i.e., visual cues, aesthetics, and accessibility of healthy and unhealthy foods) and potential triggers of the social norms–reinforcing loop. Implementing changes to these physical features demands relatively few resources and little effort for the school (e.g., moving a vending machine). However, factors such as lack of parental and community support for healthy eating may diminish the impact of such changes.
By constrast, HEDG domains such as the teaching kitchen and on-site food production do not directly influence children’s healthy-eating behaviors, but may be involved in diffusion of innovation concepts to influence adoption and use of healthy-eating programming and practices. Implementing and maintaining changes to these physical features (e.g., establishing a school garden) involve relatively greater resources and effort from schools. These features, though, are triggers of organizational culture and community-modeled learning reinforcing loops with significant potential to facilitate and improve school adoption and use of healthy-eating programming and practices long term. It is important to consider factors such as financial and human resources, competing priorities, and leadership because they may diminish impact.
DISCUSSION
We found evidence that a range of physical factors contribute to creating supportive healthy-eating school environments. Our results supported strategies associated with 9 of the 10 HEDG spatial domains and offered no evidence of negative effects. The extent of evidence varied, and we found strengths and weaknesses related to each domain. Complex interrelationships of factors across multiple levels influence healthy-eating outcomes in schools, and a systems lens offers insight into the role of physical design and potential synergistic influences to consider for future school-based interventions and research.
The largest bodies of evidence pertained to the serving and water access and vending machine domains. This included mixed findings from cross-sectional studies, but supportive evidence from longitudinal and experimental studies has accumulated. Several of the studies reported outcomes from sales data (which may not directly translate to consumption) and plate waste analyses (which do not measure dietary intake outside the school setting).
Evidence for positive influence from the teaching kitchen and on-site food production domains was promising but inconclusive. More studies found significant impacts on healthy-eating–related psychosocial outcomes (e.g., preference for vegetables) than on healthy-eating behavior, especially for gardening programs. These strategies have only been applied with elementary and middle school students, and it is unknown whether similar programs with older students would be effective. Several qualitative studies indicated that although gardening programs are viewed favorably, they face significant barriers to implementation and maintenance beyond the need for physical space.
The extent of evidence for strategies related to the commercial kitchen and educational signage, wayfinding, and marketing domains was moderate, with limited studies but some significant findings. We found no quantitative evidence regarding the commercial kitchen domain, but a preponderance of qualitative evidence indicated that adequate kitchen facilities are important to achieving the standards set by school meal nutrition guidelines. Studies pertaining to the educational signage, wayfinding, and marketing domain produced both qualitative and quantitative evidence, but the pool of studies was small. The use of communication campaigns and visual media materials as 1 strategy in multicomponent interventions is common, but it is rarely identifiable as an active component in existing literature.151
Few studies explored the domains of dining and aesthetics of healthy food environments or provided significant findings. As indicated in Figure 3, factors of aesthetics and comfort may affect eating behaviors through the perceived quality and appeal of healthy food. However, these factors may also reduce stress and behavioral issues that affect social interactions that encourage healthy eating. It is increasingly recognized that school mealtimes should promote positive experiences, and some schools have engaged students to improve the visual appeal and comfort of the cafeteria environment (e.g., student murals).152,153 The evidence for these approaches is limited, however, and their contribution to interconnected behavioral, academic, and healthy-eating outcomes remains unclear.
Evidence related to the domains of integrated healthy food education facilities and integrated healthy food community was also limited. Strategies from these domains aim to improve schools' capacity for community and parent outreach to encourage healthy eating and to increase opportunities throughout the school day and environment for healthy-eating education. Systematic reviews indicate that school-based interventions that involve parents and community are more likely to succeed than those that target only students,154–156 and several studies have found that appropriate equipment and materials improve institutionalization and maintenance of interventions that address healthy eating.157,158 The rationales for the importance of these domains are strong, but research has not yet explored or tested physical environment strategies designed to address these important aspects of school-based healthy-eating interventions.
Overall, findings showed that the physical environment, as delineated through the HEDG spatial domains, plays an important role in school-based healthy-eating interventions. Public health experts and authorities recommend a comprehensive approach to addressing healthy eating in schools: nutrition education combined with supportive social, policy, and physical environment changes are needed to create population-level impact.2 Approaches to transforming school food culture, such as the Berkeley Unified School District’s School Lunch Initiative in California and Food for Life Partnership in England, have reported success.62,159 Some studies have identified the influence of physical environment changes in these approaches. For example, a significant dining and cafeteria space renovation in 1 of the Berkeley Unified School District’s middle schools during the initiative’s third year bolstered improvements in student attitudes regarding the quality of the school’s healthy meals.159
Our causal loop diagram helps clarify multiple influences and interrelationships that contribute to healthy-eating outcomes in the context of a school system and elucidates the potential role of physical space and design (Figure 3). In a school system, adoption and use of healthy-eating programming and practices are central to driving change, which may face major barriers (e.g., competing priorities, insufficient financial resources). If such barriers can be overcome, however, the design of curricular and food production physical spaces can trigger potentially powerful reinforcing feedback loops. In particular, improvements in the observability of healthy-eating programming and practices function in reinforcing loops that include elements of organizational change (e.g., organizational values and policies), which are important factors for sustainability.
Limitations
We reviewed studies with a range of research designs and sample sizes, and our narrative-based method did not quantitatively rank or weigh evidence according to design strength, nor did we assess the magnitude of effect sizes. We did not consider variation in findings arising from factors such as ethnicity and socioeconomic status that may influence generalizability. The qualitative studies were not coded by multiple independent researchers, which may reduce reliability of thematic findings.
We did not review quantitative studies for evidence of fidelity, which could influence interpretation of results. However, a strength of our review was that we assessed both quantitative and qualitative studies. Quantitative studies provide important information regarding impact, but qualitative studies have implications for effective application and implementation of strategies.
Conclusions
The HEDGs were developed as testable hypotheses,9 and further work is needed to accumulate evidence and to refine or expand new strategies. Increased experimental and practice-based evaluation of cooking and gardening programs is needed to further knowledge related to the teaching kitchen and on-site food production domains. This research should not only focus on evidence related to dietary behaviors, but also assess potential methods for assisting schools to integrate the curricula with regular practice and to overcome structural and resource barriers. Research is also needed to build a stronger base for the educational signage, wayfinding, and marketing domain, and future studies should test and determine the most relevant and effective messages, which may vary across population subgroups (e.g., by age and race/ethnicity).
Qualitative research is needed to explore how features related to the aesthetics and dining domains affect healthy eating; these can then be tested through deductive quantitative methods to strengthen evidence. Finally, integrated healthy food education facilities and community domain strategies need refinement and expansion. These domains have strong rationales but limited evidence, and research should consider community-engaged and human-centered design approaches noted for their potential to explore new and creative solutions.160
The causal loop diagram also provides important information for future research and for evaluation of healthy-eating interventions. The whole-building and sustainable design fields are moving toward performance-based approaches,8 which require monitoring and establishment of performance indicators. Indicators for schools should include eating behavior and should also consider factors such as food service staffs' perceptions of the complexity of food preparation and students’ stress levels. Furthermore, these should be considered in light of the overall system (e.g., differences in financial resources or leadership may influence outcomes and comparisons across schools). As data on these indicators accumulate, they can be combined with research evidence to refine the causal loop diagram and translate it into computational models. Computational models would allow for quantitative simulation to improve understanding of the potential impact of different intervention combinations.
Ours was the first review to consolidate evidence regarding physical environment influences on healthy eating across the entire school setting. Research shows that architecture and design can contribute to healthy-eating outcomes. Our findings can be used to enhance research on and practice of architecture and design for healthy eating and to explore integration with policy and social environment approaches. In a systems approach, a school’s physical environment can play an important role in addressing the complex issue of healthy eating.
Human Participant Protection
No protocol approval was required because no human participants were involved.
References
- 1.Kann L, Kinchen S, Shanklin SL et al. Youth risk behavior surveillance—United States, 2013. MMWR Surveill Summ. 2014;63(suppl 4):1–168. [PubMed] [Google Scholar]
- 2.White House Task Force on Childhood Obesity. Solving the problem of childhood obesity within a generation. Available at: http://www.letsmove.gov/pdf/TaskForce_on_Childhood_Obesity_May2010_FullReport.pdf. Accessed June 2, 2014. [DOI] [PubMed]
- 3.Wang YC, Bleich SN, Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604–e1614. doi: 10.1542/peds.2007-2834. [DOI] [PubMed] [Google Scholar]
- 4.Adair LS, Popkin BM. Are child eating patterns being transformed globally? Obes Res. 2005;13(7):1281–1299. doi: 10.1038/oby.2005.153. [DOI] [PubMed] [Google Scholar]
- 5.Institute of Medicine. Accelerating Progress in Obesity Prevention: Solving the Weight of the Nation. Washington, DC: National Academies Press; 2012. [Google Scholar]
- 6.Gordon-Larsen P, Reynolds K. Influences of the built environment on physical activity and obesity in adolescents. In: Goran MI, Sothern MS, editors. Handbook of Pediatric Obesity: Etiology, Pathophysiology, and Prevention. Boca Raton, FL: CRC Press; 2005. [Google Scholar]
- 7.Gorman N, Lackney JA, Rollings K, Huang TTK. Designer schools: the role of school space and architecture in obesity prevention. Obesity (Silver Spring) 2007;15(11):2521–2530. doi: 10.1038/oby.2007.300. [DOI] [PubMed] [Google Scholar]
- 8.Prowler D. The role of buildings and the case for whole building design. Available at: http://www.wbdg.org/wbdg_approach.php. Accessed October 15, 2014.
- 9.Huang TT, Sorensen D, Davis S et al. Healthy eating design guidelines for school architecture. Prev Chronic Dis. 2013;10:E27. doi: 10.5888/pcd10.120084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sobal J, Wansink B. Kitchenscapes, tablescapes, platescapes, and foodscapes: influences of microscale built environments on food intake. Environ Behav. 2007;39(1):124–142. [Google Scholar]
- 11.Kahn BE, Wansink B. The influence of assortment structure on perceived variety and consumption quantities. J Consum Res. 2004;30(4):519–533. [Google Scholar]
- 12.Antonovsky A. The salutogenic model as a theory to guide health promotion. Health Promot Int. 1996;11(1):11–18. [Google Scholar]
- 13.Edwards JSA, Gustafsson IB. The room and atmosphere as aspects of the meal: a review. J Foodserv. 2008;19(1):22–34. [Google Scholar]
- 14.Bandura A. Social cognitive theory. In: Vasta R, editor. Annals of Child Development. Vol. 6. Greenwich, CT: JAI Press; 1989. pp. 1–60. [Google Scholar]
- 15.Hall ET, Birdwhistell RL, Bock B et al. Proxemics [and comments and replies] Curr Anthropol. 1968;9(2/3):83–108. [Google Scholar]
- 16.Gifford R, Steg L, Reser JP. Environmental psychology. In: Martin P, Cheung F, Kyrios M, editors. IAAP Handbook of Applied Psychology. West Sussex, UK: John Wiley and Sons; 2011. pp. 440–470. [Google Scholar]
- 17.Weinstein CS. The physical environment of the school: a review of the research. Rev Educ Res. 1979;49(4):577–610. [Google Scholar]
- 18.McGregor J. Space power and the classroom. Forum. 2004;46(1):13–18. [Google Scholar]
- 19.Lackney JA. New approaches for school design. In: English FW, editor. The Sage Handbook of Educational Leadership. 2nd ed. Los Angeles, CA: Sage Publications Inc; 2011. pp. 353–381. [Google Scholar]
- 20.Moore GT. Effects of the spatial definition of behavior settings on children’s behavior: a quasi-experimental field study. J Environ Psychol. 1986;6(3):205–231. [Google Scholar]
- 21.Gieryn TF. What buildings do. Theory Soc. 2002;31(1):35–74. [Google Scholar]
- 22.Gieryn TF. A space for place in sociology. Annu Rev Sociol. 2000;26:463–496. [Google Scholar]
- 23.Kraftl P, Adey P. Architecture/affect/inhabitation: geographies of being-in buildings. Ann Assoc Am Geogr. 2008;98(1):213–231. [Google Scholar]
- 24.Löw M. The constitution of space: the structuration of spaces through the simultaneity of effect and perception. Eur J Soc Theory. 2008;11(1):25–49. [Google Scholar]
- 25.Dale K. Building a social materiality: spatial and embodied politics in organizational control. Organization. 2005;12(5):649–678. [Google Scholar]
- 26.Nathan N, Wolfenden L, Bell AC et al. Effectiveness of a multi-strategy intervention in increasing the implementation of vegetable and fruit breaks by Australian primary schools: a non-randomized controlled trial. BMC Public Health. 2012;12:651. doi: 10.1186/1471-2458-12-651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Coleman KJ, Shordon M, Caparosa SL, Pomichowski ME, Dzewaltowski DA. The healthy options for nutrition environments in schools (Healthy ONES) group randomized trial: using implementation models to change nutrition policy and environments in low income schools. Int J Behav Nutr Phys Act. 2012;9:80. doi: 10.1186/1479-5868-9-80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Elinder LS, Heinemans N, Hagberg J, Quetel AK, Hagströmer M. A participatory and capacity-building approach to healthy eating and physical activity—SCIP-school: a 2-year controlled trial. Int J Behav Nutr Phys Act. 2012;9:145. doi: 10.1186/1479-5868-9-145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rogers EM. Diffusion of Innovations. New York, NY: Simon and Schuster; 2010. [Google Scholar]
- 30.Reinaerts EB, de Nooijer J, de Vries NK. Fruit and vegetable distribution program versus a multicomponent program to increase fruit and vegetable consumption: which should be recommended for implementation? J Sch Health. 2007;77(10):679–686. doi: 10.1111/j.1746-1561.2007.00251.x. [DOI] [PubMed] [Google Scholar]
- 31.Masse LC, Naiman D, Naylor PJ. From policy to practice: implementation of physical activity and food policies in schools. Int J Behav Nutr Phys Act. 2013;10:71. doi: 10.1186/1479-5868-10-71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Jacobs J. The Death and Life of Great American Cities. New York, NY: Random House Digital Inc; 1961. [Google Scholar]
- 33.Gans HJ. People and Plans: Essays on Urban Problems and Solutions. Vol. 68. New York, NY: Basic Books; 1968. [Google Scholar]
- 34.Manzo LC, Perkins DD. Finding common ground: the importance of place attachment to community participation and planning. J Plan Lit. 2006;20(4):335–350. [Google Scholar]
- 35.Cohen DA, Inagami S, Finch B. The built environment and collective efficacy. Health Place. 2008;14(2):198–208. doi: 10.1016/j.healthplace.2007.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Cohen DA, Finch BK, Bower A, Sastry N. Collective efficacy and obesity: the potential influence of social factors on health. Soc Sci Med. 2006;62(3):769–778. doi: 10.1016/j.socscimed.2005.06.033. [DOI] [PubMed] [Google Scholar]
- 37.Semenza JC, March TL, Bontempo BD. Community-initiated urban development: an ecological intervention. J Urban Health. 2007;84(1):8–20. doi: 10.1007/s11524-006-9124-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hawe P, Shiell A. Social capital and health promotion: a review. Soc Sci Med. 2000;51(6):871–885. doi: 10.1016/s0277-9536(00)00067-8. [DOI] [PubMed] [Google Scholar]
- 39.Comstock N, Dickinson LM, Marshall JA et al. Neighborhood attachment and its correlates: exploring neighborhood conditions, collective efficacy, and gardening. J Environ Psychol. 2010;30(4):435–442. [Google Scholar]
- 40.Teig E, Amulya J, Bardwell L, Buchenau M, Marshall JA, Litt JS. Collective efficacy in Denver, Colorado: strengthening neighborhoods and health through community gardens. Health Place. 2009;15(4):1115–1122. doi: 10.1016/j.healthplace.2009.06.003. [DOI] [PubMed] [Google Scholar]
- 41.Economos CD. Community interventions: a brief overview and their application to the obesity epidemic. J Law Med Ethics. 2007;35(1):131–137. doi: 10.1111/j.1748-720X.2007.00117.x. [DOI] [PubMed] [Google Scholar]
- 42.Dixon-Woods M, Bonas S, Booth A et al. How can systematic reviews incorporate qualitative research? A critical perspective. Qual Res. 2006;6(1):27–44. [Google Scholar]
- 43.Creswell JW. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 2nd ed. Thousand Oaks, CA: Sage; 2003. [Google Scholar]
- 44.US Department of Agriculture. USDA makes permanent meat and grain serving flexibilities in national school lunch program. Available at: http://www.usda.gov/wps/portal/usda/usdahome?contentidonly=true&contentid=2014/01/0001.xml. Accessed June 19, 2014.
- 45.Huang TT, Drewnowski A, Kumanyika SK, Glass TA. A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev Chronic Dis. 2009;6(3):A82. [PMC free article] [PubMed] [Google Scholar]
- 46.Leischow SJ, Milstein B. Systems thinking and modeling for public health practice. Am J Public Health. 2006;96(3):403–405. doi: 10.2105/AJPH.2005.082842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mabry PL, Olster DH, Morgan GD, Abrams DB. Interdisciplinarity and systems science to improve population health: a view from the NIH office of behavioral and social sciences research. Am J Prev Med. 2008;35(2 suppl):S211–S224. doi: 10.1016/j.amepre.2008.05.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kirkwood CW. System Dynamics Methods. Tempe: Arizona State University, College of Business; 1998. [Google Scholar]
- 49.Cho H, Nadow MZ. Understanding barriers to implementing quality lunch and nutrition education. J Community Health. 2004;29(5):421–435. doi: 10.1023/b:johe.0000038656.32950.45. [DOI] [PubMed] [Google Scholar]
- 50.Drummond C, Sheppard L. Examining primary and secondary school canteens and their place within the school system: a South Australian study. Health Educ Res. 2011;26(4):739–749. doi: 10.1093/her/cyr036. [DOI] [PubMed] [Google Scholar]
- 51.MacLellan D, Holland A, Taylor J, McKenna M, Hernandez K. Implementing school nutrition policy: student and parent perspectives. Can J Diet Pract Res. 2010;71(4):172–177. doi: 10.3148/71.4.2010.172. [DOI] [PubMed] [Google Scholar]
- 52.Urahn S, Caudell-Feagan M, Thomas K Serving healthy school meals, US schools need updated kitchen equipment. Available at: http://www.pewtrusts.org/en/research-and-analysis/reports/2013/12/18/serving-healthy-school-meals-kitchen-equipment. Accessed November 2, 2014.
- 53.Wijesinha-Bettoni R, Orito A, Lowik M, Mclean C, Muehlhoff E. Increasing fruit and vegetable consumption among schoolchildren: efforts in middle-income countries. Food Nutr Bull. 2013;34(1):75–94. doi: 10.1177/156482651303400109. [DOI] [PubMed] [Google Scholar]
- 54.Holthe A, Larsen T, Samdal O. Understanding barriers to implementing the Norwegian national guidelines for healthy school meals: a case study involving three secondary schools. Matern Child Nutr. 2011;7(3):315–327. doi: 10.1111/j.1740-8709.2009.00239.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Marraccini T, Meltzer S, Bourne L, Elizabeth Draper C. A qualitative evaluation of exposure to and perceptions of the Woolworths Healthy Tuck Shop Guide in Cape Town, South Africa. Child Obes. 2012;8(4):369–377. doi: 10.1089/chi.2012.0034. [DOI] [PubMed] [Google Scholar]
- 56.Taylor JP, MacLellan D, Caiger JM et al. Implementing elementary school nutrition policy: principals’ perspectives. Can J Diet Pract Res. 2011;72(4):e205–e211. doi: 10.3148/72.4.2011.e205. [DOI] [PubMed] [Google Scholar]
- 57.Bauer KW, Patel A, Prokop LA, Austin SB. Swimming upstream: faculty and staff members from urban middle schools in low-income communities describe their experience implementing nutrition and physical activity initiatives. Prev Chronic Dis. 2006;3(2):A37. [PMC free article] [PubMed] [Google Scholar]
- 58.Osganian SK, Ebzery MK, Montgomery DH et al. Changes in the nutrient content of school lunches: results from the CATCH Eat Smart food service intervention. Prev Med. 1996;25(4):400–412. doi: 10.1006/pmed.1996.0072. [DOI] [PubMed] [Google Scholar]
- 59.Sallis JF, McKenzie TL, Conway TL et al. Environmental interventions for eating and physical activity: a randomized controlled trial in middle schools. Am J Prev Med. 2003;24(3):209–217. doi: 10.1016/s0749-3797(02)00646-3. [DOI] [PubMed] [Google Scholar]
- 60.Goldberg JP, Collins JJ, Folta SC et al. Retooling food service for early elementary school students in Somerville, Massachusetts: the Shape Up Somerville experience. Prev Chronic Dis. 2009;6(3):A103. [PMC free article] [PubMed] [Google Scholar]
- 61.Potter SC, Schneider D, Coyle KK, May G, Robin L, Seymour J. What works? Process evaluation of a school-based fruit and vegetable distribution program in Mississippi. J Sch Health. 2011;81(4):202–211. doi: 10.1111/j.1746-1561.2010.00580.x. [DOI] [PubMed] [Google Scholar]
- 62.Orme J, Jones M, Kimberlee R Food for Life Partnership evaluation: summary report. Available at: http://www.scp-knowledge.eu/sites/default/files/knowledge/attachments/FFLP_UWE-Cardiff_Evaluation_SummaryReport.pdf. Accessed June 2, 2014.
- 63.Swanson M, Schoenberg NE, Erwin H, Davis RE. Perspectives on physical activity and exercise among Appalachian youth. J Phys Act Health. 2013;10(1):42–47. doi: 10.1123/jpah.10.1.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Kubik MY, Lytle L, Fulkerson JA. Fruits, vegetables, and football: findings from focus groups with alternative high school students regarding eating and physical activity. J Adolesc Health. 2005;36(6):494–500. doi: 10.1016/j.jadohealth.2004.05.010. [DOI] [PubMed] [Google Scholar]
- 65.Hyland R, Stacy R, Adamson A, Moynihan P. Nutrition-related health promotion through an after-school project: the responses of children and their families. Soc Sci Med. 2006;62(3):758–768. doi: 10.1016/j.socscimed.2005.06.032. [DOI] [PubMed] [Google Scholar]
- 66.Lukas CV, Cunningham-Sabo L. Qualitative investigation of the Cooking With Kids program: focus group interviews with fourth-grade students, teachers, and food educators. J Nutr Educ Behav. 2011;43(6):517–524. doi: 10.1016/j.jneb.2011.05.009. [DOI] [PubMed] [Google Scholar]
- 67.Walters LM, Stacey JE. Focus on food: development of the Cooking With Kids experiential nutrition education curriculum. J Nutr Educ Behav. 2009;41(5):371–373. doi: 10.1016/j.jneb.2009.01.004. [DOI] [PubMed] [Google Scholar]
- 68.Monge-Rojas R, Garita C, Sánchez M, Muñoz L. Barriers to and motivators for healthful eating as perceived by rural and urban Costa Rican adolescents. J Nutr Educ Behav. 2005;37(1):33–40. doi: 10.1016/s1499-4046(06)60257-1. [DOI] [PubMed] [Google Scholar]
- 69.McKinley MC, Lowis C, Robson PJ et al. It’s good to talk: children’s views on food and nutrition. Eur J Clin Nutr. 2005;59(4):542–551. doi: 10.1038/sj.ejcn.1602113. [DOI] [PubMed] [Google Scholar]
- 70.Della Torre Swiss SB, Akré C, Suris JC. Obesity prevention opinions of school stakeholders: a qualitative study. J Sch Health. 2010;80(5):233–239. doi: 10.1111/j.1746-1561.2010.00495.x. [DOI] [PubMed] [Google Scholar]
- 71.Marples CA, Spillman DM. Factors affecting participation of students in the school lunch program in Cincinnati public schools. J Nutr Recipe Menu Dev. 1996;2(1):3–14. [Google Scholar]
- 72.Skinner K, Hanning RM, Tsuji LJ. Barriers and supports for healthy eating and physical activity for First Nation youths in northern Canada. Int J Circumpolar Health. 2006;65(2):148–161. doi: 10.3402/ijch.v65i2.18095. [DOI] [PubMed] [Google Scholar]
- 73.O’Dea JA. Why do kids eat healthful food? Perceived benefits of and barriers to healthful eating and physical activity among children and adolescents. J Am Diet Assoc. 2003;103(4):497–501. doi: 10.1053/jada.2003.50064. [DOI] [PubMed] [Google Scholar]
- 74.Nicklas TA, Johnson CC, Farris R, Rice R, Lyon L, Shi R. Development of a school-based nutrition intervention for high school students: Gimme 5. Am J Health Promot. 1997;11(5):315–322. doi: 10.4278/0890-1171-11.5.315. [DOI] [PubMed] [Google Scholar]
- 75.Moore SN, Murphy S, Tapper K, Moore L. The social, physical and temporal characteristics of primary school dining halls and their implications for children’s eating behaviours. Health Educ. 2010;110(5):399–411. [Google Scholar]
- 76.Murnan J, Price JH, Telljohann SK, Dake JA, Boardley D. Parents’ perceptions of curricular issues affecting children’s weight in elementary schools. J Sch Health. 2006;76(10):502–511. doi: 10.1111/j.1746-1561.2006.00148.x. [DOI] [PubMed] [Google Scholar]
- 77.Kong AS, Farnsworth S, Canaca JA, Harris A, Palley G, Sussman AL. An adaptive community-based participatory approach to formative assessment with high schools for obesity intervention. J Sch Health. 2012;82(3):147–154. doi: 10.1111/j.1746-1561.2011.00678.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Callaghan C, Mandich G, He M. Healthier snacks in school vending machines: a pilot project in four Ontario high schools. Can J Diet Pract Res. 2010;71(4):186–191. doi: 10.3148/71.4.2010.186. [DOI] [PubMed] [Google Scholar]
- 79.Shannon C, Story M, Fulkerson JA, French SA. Factors in the school cafeteria influencing food choices by high school students. J Sch Health. 2002;72(6):229–234. doi: 10.1111/j.1746-1561.2002.tb07335.x. [DOI] [PubMed] [Google Scholar]
- 80.Johnston Molloy C, Gandy J, Cunningham C, Glennon Slattery C. An exploration of factors that influence the regular consumption of water by Irish primary school children. J Hum Nutr Diet. 2008;21(5):512–515. doi: 10.1111/j.1365-277x.2008.00880.x. [DOI] [PubMed] [Google Scholar]
- 81.Ahmed AT, Oshiro CE, Loharuka S, Novotny R. Perceptions of middle school educators in Hawai’i about school-based gardening and child health. Hawaii Med J. 2011;70(7, suppl 1):11–15. [PMC free article] [PubMed] [Google Scholar]
- 82.Sands C, Reed LE, Harper K, Shar M. A photovoice participatory evaluation of a school gardening program through the eyes of fifth graders. Practicing Anthropol. 2009;31(4):15–20. [Google Scholar]
- 83.Graham H, Zidenberg-Cherr S. California teachers perceive school gardens as an effective nutritional tool to promote healthful eating habits. J Am Diet Assoc. 2005;105(11):1797–1800. doi: 10.1016/j.jada.2005.08.034. [DOI] [PubMed] [Google Scholar]
- 84.Viola A. Evaluation of the outreach school garden project: building the capacity of two indigenous remote school communities to integrate nutrition into the core school curriculum. Health Promot J Austr. 2006;17(3):233–239. doi: 10.1071/he06233. [DOI] [PubMed] [Google Scholar]
- 85.Hazzard EL, Moreno E, Beall DL, Zidenberg-Cherr S. Best practices models for implementing, sustaining, and using instructional school gardens in California. J Nutr Educ Behav. 2011;43(5):409–413. doi: 10.1016/j.jneb.2011.05.005. [DOI] [PubMed] [Google Scholar]
- 86.Hazzard EL, Moreno E, Beall DL, Zidenberg-Cherr S. An evaluation of the California Instructional School Garden Program. Public Health Nutr. 2012;15(2):285–290. doi: 10.1017/S1368980011001248. [DOI] [PubMed] [Google Scholar]
- 87.Van Lippevelde W, Verloigne M, De Bourdeaudhuij I et al. What do parents think about parental participation in school-based interventions on energy balance-related behaviours? A qualitative study in 4 countries. BMC Public Health. 2011;11:881. doi: 10.1186/1471-2458-11-881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Ransley JK, Taylor EF, Radwan Y, Kitchen MS, Greenwood DC, Cade JE. Does nutrition education in primary schools make a difference to children’s fruit and vegetable consumption? Public Health Nutr. 2010;13(11):1898–1904. doi: 10.1017/S1368980010000595. [DOI] [PubMed] [Google Scholar]
- 89.Kelder S, Hoelscher DM, Barroso CS, Walker JL, Cribb P, Hu S. The CATCH Kids Club: a pilot after-school study for improving elementary students’ nutrition and physical activity. Public Health Nutr. 2005;8(2):133–140. doi: 10.1079/phn2004678. [DOI] [PubMed] [Google Scholar]
- 90.Caraher M, Seeley A, Wu M, Lloyd S. When chefs adopt a school? an evaluation of a cooking intervention in english primary schools. Appetite. 2013;62:50–59. doi: 10.1016/j.appet.2012.11.007. [DOI] [PubMed] [Google Scholar]
- 91.Liquori T, Koch PD, Contento IR, Castle J. The Cookshop Program: outcome evaluation of a nutrition education program linking lunchroom food experiences with classroom cooking experiences. J Nutr Educ. 1998;30(5):302–313. [Google Scholar]
- 92.Puma J, Romaniello C, Crane L, Scarbro S, Belansky E, Marshall JA. Long-term student outcomes of the integrated nutrition and physical activity program. J Nutr Educ Behav. 2013;45(6):635–642. doi: 10.1016/j.jneb.2013.05.006. [DOI] [PubMed] [Google Scholar]
- 93.Bisset SL, Potvin L, Daniel M, Paquette M. Assessing the impact of the primary school-based nutrition intervention Petits cuistots—parents en réseaux. Can J Public Health. 2008;99(2):107–113. doi: 10.1007/BF03405455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Cunningham-Sabo L, Lohse B. Impact of a school-based cooking curriculum for fourth grade students on attitudes and behaviors is influenced by gender and prior cooking experience. J Nutr Educ Behav. 2014;46(2):110–120. doi: 10.1016/j.jneb.2013.09.007. [DOI] [PubMed] [Google Scholar]
- 95.Demas A. Low-fat school lunch programs: achieving acceptance. Am J Cardiol. 1998;82(10, suppl 2):80–82. doi: 10.1016/s0002-9149(98)00745-0. [DOI] [PubMed] [Google Scholar]
- 96.Prell HC, Berg MC, Jonsson LM, Lissner L. A school-based intervention to promote dietary change. J Adolesc Health. 2005;36(6):529–530. doi: 10.1016/j.jadohealth.2004.08.009. [DOI] [PubMed] [Google Scholar]
- 97.Kubik MY, Lytle LA, Hannan PJ, Perry CL, Story M. The association of the school food environment with dietary behaviors of young adolescents. Am J Public Health. 2003;93(7):1168–1173. doi: 10.2105/ajph.93.7.1168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Terry-McElrath YM, O’Malley PM, Delva J, Johnston LD. The school food environment and student body mass index and food consumption: 2004 to 2007 national data. J Adolesc Health. 2009;45(3 suppl):S45–S56. doi: 10.1016/j.jadohealth.2009.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Briefel RR, Crepinsek MK, Cabili C, Wilson A, Gleason PM. School food environments and practices affect dietary behaviors of US public school children. J Am Diet Assoc. 2009;109(2 suppl):S91–S107. doi: 10.1016/j.jada.2008.10.059. [DOI] [PubMed] [Google Scholar]
- 100.van der Horst K, Timperio A, Crawford D, Roberts R, Brug J, Oenema A. The school food environment: associations with adolescent soft drink and snack consumption. Am J Prev Med. 2008;35(3):217–223. doi: 10.1016/j.amepre.2008.05.022. [DOI] [PubMed] [Google Scholar]
- 101.Slusser WM, Cumberland WG, Browdy BL, Lange L, Neumann C. A school salad bar increases frequency of fruit and vegetable consumption among children living in low-income households. Public Health Nutr. 2007;10(12):1490–1496. doi: 10.1017/S1368980007000444. [DOI] [PubMed] [Google Scholar]
- 102.Adams MA, Pelletier RL, Zive MM, Sallis JF. Salad bars and fruit and vegetable consumption in elementary schools: a plate waste study. J Am Diet Assoc. 2005;105(11):1789–1792. doi: 10.1016/j.jada.2005.08.013. [DOI] [PubMed] [Google Scholar]
- 103.Just DR, Wansink B. Smarter lunchrooms: using behavioral economics to improve meal selection. Choices. 2009;24(3):1–7. [Google Scholar]
- 104.Hanks AS, Just DR, Wansink B. Smarter lunchrooms can address new school lunchroom guidelines and childhood obesity. J Pediatr. 2013;162(4):867–869. doi: 10.1016/j.jpeds.2012.12.031. [DOI] [PubMed] [Google Scholar]
- 105.Snelling AM, Kennard T. The impact of nutrition standards on competitive food offerings and purchasing behaviors of high school students. J Sch Health. 2009;79(11):541–546. doi: 10.1111/j.1746-1561.2009.00446.x. [DOI] [PubMed] [Google Scholar]
- 106.Hanks AS, Just DR, Smith LE, Wansink B. Healthy convenience: nudging students toward healthier choices in the lunchroom. J Public Health (Oxf) 2012;34(3):370–376. doi: 10.1093/pubmed/fds003. [DOI] [PubMed] [Google Scholar]
- 107.Swanson M, Branscum A, Nakayima PJ. Promoting consumption of fruit in elementary school cafeterias. The effects of slicing apples and oranges. Appetite. 2009;53(2):264–267. doi: 10.1016/j.appet.2009.07.015. [DOI] [PubMed] [Google Scholar]
- 108.Marlette MA, Templeton SB, Panemangalore M. Food type, food preparation, and competitive food purchases impact school lunch plate waste by sixth-grade students. J Am Diet Assoc. 2005;105(11):1779–1782. doi: 10.1016/j.jada.2005.08.033. [DOI] [PubMed] [Google Scholar]
- 109.Wansink B, Just DR, Hanks AS, Smith LE. Pre-sliced fruit in school cafeterias: children’s selection and intake. Am J Prev Med. 2013;44(5):477–480. doi: 10.1016/j.amepre.2013.02.003. [DOI] [PubMed] [Google Scholar]
- 110.Hakim SM, Meissen G. Increasing consumption of fruits and vegetables in the school cafeteria: the influence of active choice. J Health Care Poor Underserved. 2013;24(2 suppl):145–157. doi: 10.1353/hpu.2013.0109. [DOI] [PubMed] [Google Scholar]
- 111.Hanks A, Just D, Wansink B. A source of contention or nutrition: an assessment of removing flavored milk from school lunchrooms. J Nutr Educ Behav. 2012;44(4 suppl):S21. [Google Scholar]
- 112.Hartstein J, Cullen KW, Reynolds KD, Harrell J, Resnicow K, Kennel P. Impact of portion-size control for school a la carte items: changes in kilocalories and macronutrients purchased by middle school students. J Am Diet Assoc. 2008;108(1):140–144. doi: 10.1016/j.jada.2007.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Hanks AS, Just DR, Wansink B. Trigger foods: the influence of ‘irrelevant’ alternatives in school lunchrooms. Agric Resour Econ Rev. 2012;41(1):114–123. [Google Scholar]
- 114.Cullen KW, Zakeri I. Fruits, vegetables, milk, and sweetened beverages consumption and access to a la carte/snack bar meals at school. Am J Public Health. 2004;94(3):463–467. doi: 10.2105/ajph.94.3.463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Goto K, Waite A, Wolff C, Chan K, Giovanni M. Do environmental interventions impact elementary school students’ lunchtime milk selection? Appl Econ Perspect Policy. 2013;35(2):360–376. [Google Scholar]
- 116.Bartholomew JB, Jowers EM. Increasing frequency of lower-fat entrees offered at school lunch: an environmental change strategy to increase healthful selections. J Am Diet Assoc. 2006;106(2):248–252. doi: 10.1016/j.jada.2005.10.030. [DOI] [PubMed] [Google Scholar]
- 117.French SA, Story M, Fulkerson JA, Hannan P. An environmental intervention to promote lower-fat food choices in secondary schools: outcomes of the TACOS study. Am J Public Health. 2004;94(9):1507–1512. doi: 10.2105/ajph.94.9.1507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Reicks M, Redden JP, Mann T, Mykerezi E, Vickers Z. Photographs in lunch tray compartments and vegetable consumption among children in elementary school cafeterias. JAMA. 2012;307(8):784–785. doi: 10.1001/jama.2012.170. [DOI] [PubMed] [Google Scholar]
- 119.Schneider M, DeBar L, Calingo A et al. The effect of a communications campaign on middle school students’ nutrition and physical activity: results of the HEALTHY study. J Health Commun. 2013;18(6):649–667. doi: 10.1080/10810730.2012.743627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Minaker LM, Storey KE, Raine KD et al. Associations between the perceived presence of vending machines and food and beverage logos in schools and adolescents’ diet and weight status. Public Health Nutr. 2011;14(8):1350–1356. doi: 10.1017/S1368980011000449. [DOI] [PubMed] [Google Scholar]
- 121.Fulkerson JA, French SA, Story M, Nelson H, Hannan PJ. Promotions to increase lower-fat food choices among students in secondary schools: description and outcomes of TACOS (Trying Alternative Cafeteria Options in Schools) Public Health Nutr. 2004;7(5):665–674. doi: 10.1079/PHN2003594. [DOI] [PubMed] [Google Scholar]
- 122.Wechsler H, Basch CE, Zybert P, Shea S. Promoting the selection of low-fat milk in elementary school cafeterias in an inner-city Latino community: evaluation of an intervention. Am J Public Health. 1998;88(3):427–433. doi: 10.2105/ajph.88.3.427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Wansink B, Just DR, Payne CR, Klinger M. Attractive names sustain increased vegetable intake in schools. Prev Med. 2012;55(4):330–332. doi: 10.1016/j.ypmed.2012.07.012. [DOI] [PubMed] [Google Scholar]
- 124.Patel AI, Bogart LM, Elliott MN et al. Increasing the availability and consumption of drinking water in middle schools: a pilot study. Prev Chronic Dis. 2011;8(3):A60. [PMC free article] [PubMed] [Google Scholar]
- 125.Visscher TL, van Hal WC, Blokdijk L, Seidell JC, Renders CM, Bemelmans WJ. Feasibility and impact of placing water coolers on sales of sugar-sweetened beverages in Dutch secondary school canteens. Obes Facts. 2010;3(2):109–115. doi: 10.1159/000300848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Muckelbauer R, Libuda L, Clausen K, Reinehr T, Kersting M. A simple dietary intervention in the school setting decreased incidence of overweight in children. Obes Facts. 2009;2(5):282–285. doi: 10.1159/000229783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Giles CM, Kenney EL, Gortmaker SL et al. Increasing water availability during afterschool snack: evidence, strategies, and partnerships from a group randomized trial. Am J Prev Med. 2012;43(3 suppl 2):S136–S142. doi: 10.1016/j.amepre.2012.05.013. [DOI] [PubMed] [Google Scholar]
- 128.Gonzalez W, Jones SJ, Frongillo EA. Restricting snacks in U.S. elementary schools is associated with higher frequency of fruit and vegetable consumption. J Nutr. 2009;139(1):142–144. doi: 10.3945/jn.108.099531. [DOI] [PubMed] [Google Scholar]
- 129.Hang CM, Lin W, Yang HC, Pan WH. The relationship between snack intake and its availability of 4th-6th graders in Taiwan. Asia Pac J Clin Nutr. 2007;16(suppl 2):547–553. [PubMed] [Google Scholar]
- 130.Brown DM, Tammineni SK. Managing sales of beverages in schools to preserve profits and improve children’s nutrition intake in 15 Mississippi schools. J Am Diet Assoc. 2009;109(12):2036–2042. doi: 10.1016/j.jada.2009.09.008. [DOI] [PubMed] [Google Scholar]
- 131.Schwartz MB, Novak SA, Fiore SS. The impact of removing snacks of low nutritional value from middle schools. Health Educ Behav. 2009;36(6):999–1011. doi: 10.1177/1090198108329998. [DOI] [PubMed] [Google Scholar]
- 132.Kocken PL, Eeuwijk J, Van Kesteren NM et al. Promoting the purchase of low-calorie foods from school vending machines: a cluster-randomized controlled study. J Sch Health. 2012;82(3):115–122. doi: 10.1111/j.1746-1561.2011.00674.x. [DOI] [PubMed] [Google Scholar]
- 133.Hermann JR, Parker SP, Brown BJ, Siewe YJ, Denney BA, Walker SJ. After-school gardening improves children’s reported vegetable intake and physical activity. J Nutr Educ Behav. 2006;38(3):201–202. doi: 10.1016/j.jneb.2006.02.002. [DOI] [PubMed] [Google Scholar]
- 134.Hilgers KR, Haynes C, Olson J. Assessing a garden-based curriculum for elementary youth in Iowa: parental perceptions of change. Horttechnology. 2008;18(1):18–23. [Google Scholar]
- 135.Somerset S, Markwell K. Impact of a school-based food garden on attitudes and identification skills regarding vegetables and fruit: a 12-month intervention trial. Public Health Nutr. 2009;12(02):214–221. doi: 10.1017/S1368980008003327. [DOI] [PubMed] [Google Scholar]
- 136.Morris JL, Zidenberg-Cherr S. Garden-enhanced nutrition curriculum improves fourth-grade school children’s knowledge of nutrition and preferences for some vegetables. J Am Diet Assoc. 2002;102(1):91–93. doi: 10.1016/s0002-8223(02)90027-1. [DOI] [PubMed] [Google Scholar]
- 137.Ratcliffe MM, Merrigan KA, Rogers BL, Goldberg JP. The effects of school garden experiences on middle school-aged students’ knowledge, attitudes, and behaviors associated with vegetable consumption. Health Promot Pract. 2011;12(1):36–43. doi: 10.1177/1524839909349182. [DOI] [PubMed] [Google Scholar]
- 138.Parmer SM, Salisbury-Glennon J, Shannon D, Struempler B. School gardens: an experiential learning approach for a nutrition education program to increase fruit and vegetable knowledge, preference, and consumption among second-grade students. J Nutr Educ Behav. 2009;41(3):212–217. doi: 10.1016/j.jneb.2008.06.002. [DOI] [PubMed] [Google Scholar]
- 139.McAleese JD, Rankin LL. Garden-based nutrition education affects fruit and vegetable consumption in sixth-grade adolescents. J Am Diet Assoc. 2007;107(4):662–665. doi: 10.1016/j.jada.2007.01.015. [DOI] [PubMed] [Google Scholar]
- 140.Jaenke RL, Collins CE, Morgan PJ, Lubans DR, Saunders KL, Warren JM. The impact of a school garden and cooking program on boys’ and girls’ fruit and vegetable preferences, taste rating, and intake. Health Educ Behav. 2012;39(2):131–141. doi: 10.1177/1090198111408301. [DOI] [PubMed] [Google Scholar]
- 141.Davis JN, Ventura EE, Cook LT, Gyllenhammer LE, Gatto NM. LA Sprouts: a gardening, nutrition, and cooking intervention for Latino youth improves diet and reduces obesity. J Am Diet Assoc. 2011;111(8):1224–1230. doi: 10.1016/j.jada.2011.05.009. [DOI] [PubMed] [Google Scholar]
- 142.Gatto NM, Ventura EE, Cook LT, Gyllenhammer LE, Davis JN. LA Sprouts: a garden-based nutrition intervention pilot program influences motivation and preferences for fruits and vegetables in Lsatino youth. J Acad Nutr Diet. 2012;112(6):913–920. doi: 10.1016/j.jand.2012.01.014. [DOI] [PubMed] [Google Scholar]
- 143.Morgan PJ, Warren JM, Lubans DR, Saunders KL, Quick GI, Collins CE. The impact of nutrition education with and without a school garden on knowledge, vegetable intake and preferences and quality of school life among primary-school students. Public Health Nutr. 2010;13(11):1931–1940. doi: 10.1017/S1368980010000959. [DOI] [PubMed] [Google Scholar]
- 144.Evans A, Ranjit N, Rutledge R et al. Exposure to multiple components of a garden-based intervention for middle school students increases fruit and vegetable consumption. Health Promot Pract. 2012;13(5):608–616. doi: 10.1177/1524839910390357. [DOI] [PubMed] [Google Scholar]
- 145.Meinen A, Friese B, Wright W, Carrel A. Youth gardens increase healthy behaviors in young children. J Hunger Environ Nutr. 2012;7(2–3):192–204. [Google Scholar]
- 146.McNall MA, Lichty LF, Mavis B. The impact of school-based health centers on the health outcomes of middle school and high school students. Am J Public Health. 2010;100(9):1604–1610. doi: 10.2105/AJPH.2009.183590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Slawson DL, Southerland J, Lowe EF, Dalton WT, Pfortmiller DT, Schetzina K. Go Slow Whoa meal patterns: cafeteria staff and teacher perceptions of effectiveness in Winning With Wellness schools. J Sch Health. 2013;83(7):485–492. doi: 10.1111/josh.12056. [DOI] [PubMed] [Google Scholar]
- 148.Loughridge JL, Barratt J. Does the provision of cooled filtered water in secondary school cafeterias increase water drinking and decrease the purchase of soft drinks? J Hum Nutr Diet. 2005;18(4):281–286. doi: 10.1111/j.1365-277X.2005.00622.x. [DOI] [PubMed] [Google Scholar]
- 149.Gibbs L, Staiger PK, Johnson B et al. Expanding children’s food experiences: the impact of a school-based kitchen garden program. J Nutr Educ Behav. 2013;45(2):137–146. doi: 10.1016/j.jneb.2012.09.004. [DOI] [PubMed] [Google Scholar]
- 150.Coleman KJ, Ocana LL, Walker C et al. Outcomes from a culturally tailored diabetes prevention program in Hispanic families from a low-income school: Horton Hawks Stay Healthy (HHSH) Diabetes Educ. 2010;36(5):784–792. doi: 10.1177/0145721710377360. [DOI] [PubMed] [Google Scholar]
- 151.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 National Institute for Health and Clinical Excellence. Obes Rev. 2009;10(1):110–141. doi: 10.1111/j.1467-789X.2008.00515.x. [DOI] [PubMed] [Google Scholar]
- 152.Hayes D. Creating comfortable cafeterias to improve child nutrition. Available at: http://www.opi.mt.gov/pdf/SchoolFood/HealthyMT/12FebComfortable_Cafeterias_ppt.pdf. Accessed May 6, 2014.
- 153.Team Nutrition USDA. Meal appeal. Available at: http://www.fns.usda.gov/sites/default/files/meal_appeal.pdf. Accessed June 2, 2014.
- 154.Bleich SN, Segal J, Wu Y, Wilson R, Wang Y. Systematic review of community-based childhood obesity prevention studies. Pediatrics. 2013;132(1):e201–e210. doi: 10.1542/peds.2013-0886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Khambalia AZ, Dickinson S, Hardy LL, Gill T, Baur LA. A synthesis of existing systematic reviews and meta-analyses of school-based behavioural interventions for controlling and preventing obesity. Obes Rev. 2012;13(3):214–233. doi: 10.1111/j.1467-789X.2011.00947.x. [DOI] [PubMed] [Google Scholar]
- 156.Saraf DS, Nongkynrih B, Pandav CS et al. A systematic review of school-based interventions to prevent risk factors associated with noncommunicable diseases. Asia Pac J Public Health. 2012;24(5):733–752. doi: 10.1177/1010539512445053. [DOI] [PubMed] [Google Scholar]
- 157.Johnson CC, Li D, Galati T, Pedersen S, Smyth M, Parcel GS. Maintenance of the classroom health education curricula: results from the CATCH-ON study. Health Educ Behav. 2003;30(4):476–488. doi: 10.1177/1090198103253610. [DOI] [PubMed] [Google Scholar]
- 158.Lytle LA, Ward J, Nader PR, Pedersen S, Williston BJ. Maintenance of a health promotion program in elementary schools: results from the CATCH-ON study key informant interviews. Health Educ Behav. 2003;30(4):503–518. doi: 10.1177/1090198103253655. [DOI] [PubMed] [Google Scholar]
- 159.Rauzon S, Wang M, Studer N, Crawford P. An Evaluation of the School Lunch Initiative. Berkeley, CA: Dr. Robert C. and Veronica Atkins Center for Weight and Health, University of California; 2012. [Google Scholar]
- 160.Brown T. Design thinking. Harv Bus Rev. 2008;86(6):84–92. 141. [PubMed] [Google Scholar]


