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Address correspondence to: Shirley A.A. Beresford, PhD, Department of Epidemiology, School of Public Health, University of Washington, Hans Rosling Center, 3980 15th Avenue Northeast, Seattle WA 98195-1619.
Department of Epidemiology, School of Public Health, University of Washington, Seattle, WashingtonCancer Prevention Program, Fred Hutchinson Cancer Center, Seattle, Washington
Cancer Prevention Program, Fred Hutchinson Cancer Center, Seattle, WashingtonDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington
Cancer Prevention Program, Fred Hutchinson Cancer Center, Seattle, WashingtonDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, Washington
Agricultural Science Center at Farmington, College of Agricultural, Consumer, and Environmental Sciences, New Mexico State University, Farmington, New Mexico
Agricultural Science Center at Farmington, College of Agricultural, Consumer, and Environmental Sciences, New Mexico State University, Farmington, New Mexico
School healthy eating and gardening program increased fruit and vegetable self-efficacy.
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Navajo intervention program was particularly successful in the more rural areas.
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The program was also successful in students in third grade and with a healthy weight.
Introduction
Few healthy eating, school-based interventions have been rigorously evaluated in American Indian communities. Gardening and healthy eating are priorities in the Navajo Nation. Collaborations between researchers and local partners supported the design and implementation of this project.
Design
The Yéego! Healthy Eating and Gardening Study was a group-randomized controlled trial to evaluate a school-based healthy eating and gardening intervention in 6 schools in the Navajo Nation. Schools were randomized 1:2 to intervention or comparison.
Setting/participants
The Shiprock and Tsaile/Chinle areas in the Navajo Nation were selected. Elementary schools were screened for eligibility. All students in third and fourth grades were invited to participate in the assessments.
Intervention
Delivered during 1 school year in the intervention schools, the intervention included a culturally relevant nutrition and gardening curriculum and a school garden.
Main outcome measures
Student self-efficacy for eating fruits and vegetables, student self-efficacy for gardening, and student healthy foods score from a modified Alternative Healthy Eating Index were assessed in third and fourth graders at the beginning and end of a school year affected by the COVID-19 pandemic. Primary analyses used repeated measures linear mixed models accounting for students nested within schools to estimate the intervention effect and 95% CIs.
Results
Students in the intervention schools had self-efficacy scores for eating fruits and vegetables that were 0.22 points greater (95% CI=0.04, 0.41) than those in the comparison schools, although the student healthy foods score increased in the intervention schools by 2.0 (95% CI=0.4, 3.6); the differential change was modest at 1.7 (95% CI=–0.3, 3.7). The self-efficacy to grow fruits and vegetables in the school garden increased among those in the intervention schools (OR=1.92; 95% CI=1.02, 3.63) but not significantly more than it increased in the comparison schools (OR=1.29; 95% CI=0.60, 2.81).
Conclusions
The intervention was efficacious in improving self-efficacy for eating fruits and vegetables among third- and fourth-grade students over a school year. The findings warrant further evaluation of the intervention in larger-group randomized trials with schools in Navajo communities.
Trial registration
This study is registered at clinicaltrials.gov NCT03778021.
Graphical Abstract
Graphical AbstractResearch Question and Study Summary
School-based interventions to promote healthy eating choices and other health behaviors have been implemented across the U.S., but too few have been rigorously evaluated for their efficacy,
U.S. Department of Agriculture and HHS. Dietary Guidelines for Americans, 2020–2025. 9th Edition. December 2020. https://DietaryGuidelines.gov. Accessed June 28, 2022.
yet the gap between guidelines and behavior change in the population remains large. Just as important as the rigorously derived scientific evidence that dietary choices impact health, rigorous evaluations of interventions are needed so that guidelines can be put into practice.
Nowhere are the consequences of low rates of healthy eating behaviors more obvious than among the Navajo, where the rates of adolescent obesity and adult diabetes have been above the national average for decades.
The Navajo Nation is a sovereign nation of the Diné people. It is located on land in 4 states: Arizona, New Mexico, Utah, and Colorado. The research team has been collaborating with the Navajo Nation for more than a decade to address gardening and healthy eating priorities, recognized as important parts of a broad effort to reduce obesity and diabetes.
The presence and missions of Diné College and the New Mexico State University Agricultural Science Center at Farmington in the Navajo Nation have facilitated successful collaborations.
Specifically, leaders in the Navajo Nation reached out for technical assistance in establishing gardens equipped to withstand semiarid conditions. The role of researchers in environmental monitoring during the 2015 Gold King Mine emergency at the invitation of the Navajo Nation Environmental Protection Agency
Weindorf DC, Lombard KA. Rapid Assessment of Soil Metal Concentrations Along the Animas River, New Mexico. Paper presented at: Environmental Conditions of the Animas and San Juan Watersheds with Emphasis on Gold King Mine and Other Mine Waste Issues; San Juan College; Farmington, NM; 2016.
Weindorf DC, Lombard KA. Rapid Assessment of Soil Metal Concentrations Along the Animas River, New Mexico. Paper presented at: Environmental Conditions of the Animas and San Juan Watersheds with Emphasis on Gold King Mine and Other Mine Waste Issues; San Juan College; Farmington, NM; 2016.
Rapid Assessment of Soil Metal Concentrations Along the Animas River, New Mexico. Environmental Conditions of the Animas and San Juan Watersheds With Emphasis on Gold King Mine and Other Mine Waste Issues. NMSU2016 page 2. available at.
Multilevel interventions targeting individuals and communities, workplaces, or schools can increase the reach and impact of interventions on population health.
To help fill the gap between guidelines and healthy behaviors, a multilevel intervention was designed to address the health concerns of the Navajo Nation.
School-based gardening, cooking and nutrition intervention increased vegetable intake but did not reduce BMI: Texas sprouts - a cluster randomized controlled trial.
Does the Royal Horticultural Society Campaign for School Gardening increase intake of fruit and vegetables in children? Results from two randomised controlled trials.
have shown that school-based garden interventions are effective in improving healthy eating among children and their families. An even broader literature points to the potential impact of nutrition education on healthy eating intentions and behaviors, especially fruit and vegetable behaviors, among elementary school children.
Effect of experiential vegetable education program on mediating factors of vegetable consumption in Australian primary school students: a cluster-randomized controlled trial.
Using previous research and community input, a pilot study in 2018 was conducted implementing the curriculum and school garden intervention among Navajo children.
The findings were used to further revise the curriculum to address input that was received from students, adults, and teachers in preparation for this study. In particular, lessons were aligned to seasons; addressed Diné education standards; and included more group discussions, snack preparation, and learning through games.
In partnership with the Navajo Nation, a small-group randomized trial in elementary schools in 2 areas of the Navajo Nation was conducted. The objective of the study was to evaluate the impact of a healthy eating and gardening intervention during 1 school year on students' healthy eating and gardening behaviors.
METHODS
The Yéego! Healthy Eating and Gardening Study (Yéego!) was a stratified group-RCT with allocation to intervention or comparison in the ratio of 1:2 within each stratum. The strata were 2 areas in the Navajo Nation, namely Tsaile in Arizona and Shiprock in New Mexico, and the groups were elementary schools identified within these areas from lists of Public and Bureau of Indian Affairs elementary schools. Among the schools that met the eligibility criteria (described below), 3 from each community were randomly selected and invited to participate in the trial. After a year-long run-in period to gauge commitment and readiness, the 3 schools within each area were randomized, as shown in Figure 1. Third- and fourth-grade students from all the 6 schools were surveyed at the beginning and end of the 2019–2020 school year. Two schools (1 from each area) received the intervention during the 2019–2020 school year, and 4 comparison schools were scheduled to receive a delayed intervention after the follow-up to occur over the next school year.
The Shiprock and Tsaile/Chinle areas on the Navajo Nation, with populations consisting largely of Diné (Navajo) people, were selected for the study sites on the basis of their proximity to Diné College campuses where study staff were located. Shiprock is a small town situated 30 miles from Farmington, New Mexico. Tsaile in Arizona is a rural farming community with limited access to restaurants and grocery stores, situated about 30 miles from Chinle. Stakeholders were engaged with presentations to the public school, community school, and charter school boards before approaching individual schools and as part of the application to the Navajo Nation Human Research Review Board. Concurrence with the study protocol was obtained through resolutions from the relevant school boards, chapter houses, school principals, and agency councils. The study protocol was approved by the IRBs of the collaborating institutions and the Navajo Nation Human Research Review Board.
The study was designed to recruit 6 schools, 3 in each area. A total of 25 schools were identified and screened for eligibility. Criteria included schools (1) within 30 miles of a Diné College campus, (2) in existence for at least 3 years, (3) with between 40 and 140 students in Grades 3 or 4, and (4) with a student population of at least two thirds Navajo. A total of 10 schools (5 in each area) were eligible, as shown in Figure 1. These were listed in random order and approached sequentially. Once approval was granted from each school district, the principals of the first 3 selected schools in each community were approached to (1) confirm that the school met the initial eligibility criteria, (2) confirm the principals’ interest in supporting participation in the study by their school and teachers, and (3) conduct an initial Evaluation of Readiness. An initial assessment of school resources, the level of teacher willingness to participate, and the garden site informed the Evaluation of Readiness. If the school did not meet all eligibility criteria or was not interested in participating in the study, the next school on the list was approached. A minimum level of readiness to support both survey assessment and intervention delivery was required. Once the school was randomized to intervention or comparison, the research staff presented the study and timeline to all third- and fourth-grade teachers. Teachers distributed a recruitment packet to their students that included information about the study, a student assent, and an adult consent. Incentives were offered to students who returned completed recruitment packets and to teachers for their facilitation.
At the beginning of the 2019–2020 school year, Yéego! study staff met with the consented students to complete the baseline surveys. Surveys were administered in English using a tablet-assisted method. Trained Navajo interviewers from the community entered student responses. A Navajo translator was available as needed. A similar interviewer-based follow-up assessment was planned for the end of the same school year (i.e., June 2020); however, owing to the coronavirus disease 2019 (COVID-19) pandemic, plans were pivoted to collect follow-up data remotely, by mail, by phone, or online. For mailed surveys, data were entered and merged with the electronically captured phone and online data in the database. Assessment staff were blinded to intervention status.
Intervention
The Yéego! Intervention Program was school-based and aimed at increasing fruit and vegetable consumption among Navajo elementary school students. The intervention combined a school garden with a culturally relevant nutrition and gardening curriculum delivered by trained health educators and master gardeners to students in the third and fourth grades.
The creation of the school garden by intervention staff and interns involved assembling raised garden beds and small tool sheds and bringing in potting soil and plants. Garden construction in the intervention schools started in 2019. The garden space was approximately 400 square feet with 3 raised garden beds; each was 3 feet by 6 feet and constructed of redwood. The schools planted cool season crops initially (spinach, beets, radish, leafy greens, snowpeas, snap peas, and carrots), and then Three Sisters gardens (corn, beans, and squash) were started in the spring. All seeds were provided by the study. Maintenance of the garden area was the responsibility of the schools’ custodial staff and teachers.
The development of the curriculum, which has been described elsewhere,
and Social Cognitive theory. Lessons aimed to build confidence in gardening and healthy eating behaviors (self-efficacy), which is seen as an important determinant of health behavior change.
Table 1 shows the curriculum comprising 17 lessons (45 minutes each), delivered about twice a month over the school year. Eight lessons focused on healthy eating topics, including kitchen safety, reading a recipe, eating for nutrition and energy, and traditional foods, and 8 lessons focused on gardening, including how to plant and maintain the garden, native plants and Navajo ecology, and food preservation. The curriculum was informed by Department of Diné Education school standards, Columbia Teachers College Food Day Curriculum, Next Generation Science Standards, and New Mexico and Arizona Common Core Standards. Each lesson incorporated aspects of Diné culture, a hands-on activity in the classroom or the garden, and the healthy eating lessons included a healthy snack. The traditional snacks that were provided were blue corn mush and sumac berry mush. Bluecorn pancakes and smoothies made from spinach and leafy greens included ingredients from the garden. The students were also able to enjoy radishes and snap peas grown in the garden. Other ingredients and snacks that were prepared by the students in class were from the grocery store.
Table 1Topics in the Yéego! Healthy Eating and Gardening Curriculum
Lesson number
Healthy eating topics
Lesson number
Gardening topics
1
Introduction and kitchen safety
1
Introduction to the garden
2
Reading a recipe
2
Maintaining the garden
3
Whole foods and nutrition
3
Food preservation and seed saving
4
Eating for energy
4
Soil and compost
5
Fruits and vegetables
5
Water in the garden
6
Traditional foods and food sovereignty
6
Plant parts and life cycle
7
Healthy meals and healthy families
7
Native plants and Navajo ecology
8
Garden to table
8
Getting ready to plant in the garden
9
Garden Celebration of healthy eating and gardening
The COVID-19 pandemic led to the students being sent home toward the end of the academic year, which curtailed the harvesting from the school garden and truncated the delivery of the curriculum before the final combined healthy eating and gardening lesson (Number 9) in both intervention schools. In one of the schools, the last 2 gardening lessons (Numbers 7 and 8) also could not be taught.
Measures
Primary outcomes were 4 measures of students’ healthy eating and gardening behaviors. Best practices in student dietary behavior assessment
were adapted for this work in collaboration with Navajo elementary schools, and pilot testing was conducted in 1 private Navajo elementary school in the Shiprock area (unpublished observations, 2021). Healthy eating was measured in 2 ways: from survey questions (student's self-efficacy to eat fruits and vegetables [F&V]) and from a picture sort method (a healthy foods score from the Alternative Healthy Eating Index [AHEI] 2010). In brief, the pilot study checked the internal consistency of the 5-item self-efficacy for eating F&V in Navajo students. Responses from the picture sort were used to estimate metrics related to the AHEI 2010. The AHEI was originally created as an alternative to the Healthy Eating Index on the basis of foods and nutrients shown to predict the risk of chronic disease and was updated in 2012 by Chiuve and colleagues.
The convergent validity and test‒retest reliability of the new metrics from the picture sort were evaluated in reference to self-efficacy for F&V in children and to F&V daily intake frequency (from the abbreviated Food Frequency Questionnaire) and obesogenic index in adults in the pilot testing. The metrics with acceptable validity and reliability were adopted in this study. The picture sort tool was implemented using a single pass through the pictures of groups of foods, enabling frequency choices to be recorded electronically on the tablet at baseline assessment.
The self-efficacy to eat fruits and vegetables outcome measure was a scale using 5 items used in previous studies,
each with 4-point Likert-type scale responses (I know I can, I think I can, I'm not sure I can, and I know I can't). Good internal consistency was shown in the pilot study, with Cronbach's α of 0.6 (unpublished observations, 2021). A mean score was calculated, with higher scores suggesting higher self-efficacy to eat fruits and vegetables.
The AHEI Healthy Foods Score was a subscale from the modified AHEI developed from pilot work described briefly earlier (unpublished observations, 2021). Data for the AHEI were derived from a picture sort frequency tool that estimated the frequencies of consumption of 10 major food groups of the Navajo diet.
scoring was applied to reported frequencies of fruits (fresh and dried), vegetables (not salad), whole grains, beans, and nuts.
The self-efficacy to garden outcome measure used questions about student's confidence to grow F&V at home or school. These questions were adapted from LA Sprouts
using the previously described 4-point Likert scale responses. Owing to low variability, these measures were dichotomized on the basis of full self-efficacy to garden (i.e., response was I know I can versus not).
Secondary student outcomes included additional dietary behavior scores from the picture sort frequency tool. The modified AHEI total score was based on 6 components (vegetables, fruits, whole grains, nuts and legumes, sugar-sweetened beverages and fruit juices, and red and/or processed meat) that were captured from the tool out of the 11 components of the AHEI 2010.
The ratio of healthy-to-total servings was based on servings rather than on scores. A total of 4 items asked about participation in healthy eating activities at school, with higher scores indicating higher participation. Obesogenic dietary behaviors were based on the frequency of fast food and the frequency of soda consumption, with higher scores suggesting higher obesogenic behavior. These questions were adapted from previously published studies conducted with American Indian children
Demographic characteristics from surveys completed by the student were collected. Students self-reported their age; gender; race; and whether they identify as Navajo and, if so, whether they understand and speak the Navajo language. In addition to survey data, Yéego! staff also collected baseline students’ heights and weights in duplicates, recording the consistent value. Sex- and age-specific BMI Z-scores and percentiles were calculated using Centers for Disease Control and Prevention programs and growth charts.
Overweight and obesity were defined as being in the 85 to <95th and ≥95th BMI percentiles, respectively. Students’ height and weight measures were not collected at follow-up.
Statistical Analysis
All students who provided survey data at baseline were included in the analyses of the primary and secondary outcomes. In the characterization of the study population at baseline, grouping by intervention status of the school (intervention versus comparison) was made, and differences between the 2 groups were examined. Descriptive statistics for all variables were estimated. In evaluating the effectiveness of the intervention, repeated measures linear mixed model analyses, accounting for students nested within schools, were conducted for all continuous measures. This method follows the common practice in the analysis of group randomized trials by the larger research group
allowing all baseline and follow-up responses from students to contribute to the effect estimates. For binary outcomes, generalized mixed models accounting for students nested within schools were used, specifying a binomial distribution, to examine the OR and 95% CIs associated with receiving the intervention. Both methods allowed least square estimation of change within group and of intervention effect accounting for potential within-school correlations. For all outcomes, 2 models were run: one that was unadjusted and one that adjusted for gender and whether the student speaks Navajo because the distributions in the intervention and comparison schools for these covariates differed at baseline. In sensitivity analyses, the analyses were repeated, (1) explicitly specifying school as a random effect and (2) excluding the smallest comparison school that had suffered dramatically reduced enrolment after randomization and before baseline assessment. Secondary analyses explored whether the effectiveness of the intervention on 1 of the primary outcomes (self-efficacy for eating F&V) may have been stronger for subgroups defined by area, grade level, or category of BMI. Stratified analyses were conducted to estimate the intervention effects on student self-efficacy to eat F&V within categories of these variables. Statistical analyses were completed using SAS statistical software, Version 9 (SAS Institute Inc, Cary, NC).
Results
A total of 294 students assented and provided baseline data. Table 2 shows the baseline characteristics for the students from the 2 schools that received the intervention and the students from the 4 comparison schools. In particular, the comparison schools had a higher proportion of female students (56.2% vs 42.4%, p=0.03) and students speaking Navajo (62.9% vs 43.4%, p=0.002) than the intervention schools. The follow-up from the baseline cohort was completed by 213 students (72% of baseline).
Table 2Student Baseline Characteristics by Intervention Group Among the 6 Schools
The intervention effects estimated from the repeated measures linear mixed models are shown in Table 3. Students from the intervention schools increased their self-efficacy to eat F&V score more than the students in the comparison schools, by an average of 0.22 (95% CI=0.04, 0.41). The differential increase in AHEI Healthy Foods Score was 1.40 (95% CI=–0.67, 3.46) but not statistically significant (p=0.18). Student self-efficacy to grow F&V at home did not change significantly from baseline to follow-up among the intervention and comparison groups, and the OR contrasting them was 0.62 (95% CI=0.29, 1.33). However, a higher proportion of students in both the intervention and comparison groups indicated full self-efficacy to grow F&V at school at the follow-up assessment. Students from the intervention schools had 1.92 (95% CI=1.02, 3.63) odds of full self-efficacy to grow F&V at school relative to the odds at the baseline, and those from the comparison schools had 1.48 (95% CI=0.95, 2.31) odds. However, the relative odds (intervention effect) was not significant (OR=1.29; 95% CI=0.60, 2.81). Models adjusting for gender and whether the student spoke Navajo estimated intervention effects for these primary outcomes that were similar to those in the unadjusted analyses. For example, the estimated intervention effect on self-efficacy to eat F&V, adjusted for gender and language, was 0.21 (95% CI=0.03, 0.40). The results of the sensitivity analysis excluding the school with reduced enrolment were also very similar to those of the main unadjusted analyses. The sensitivity analysis explicitly specifying school as a random effect in the unadjusted analysis of self-efficacy to eat F&V yielded identical estimates to 3 decimal places.
Table 3Student's Dietary and Gardening Behaviors by Intervention Group
Outcomes
Intervention, n = 100 baseline, 72 at follow-up
Comparison, n = 194, at baseline, 141 at follow-up
None of the students' secondary outcomes, including the ratio of healthy-to-total food servings from the cardsort tool, AHEI total score, obesogenic dietary behaviors, and participation in healthy eating activities at school, showed differential change between the intervention and comparison groups. Within subgroups of students defined by baseline factors of area, grade level, and BMI category, the estimated intervention effects on student self-efficacy for eating F&V are shown in Figure 2. The intervention appeared to be more effective in the Tsaile area, in the third grade, and in the healthy weight subgroups, although the tests for multiplicative interactions were not statistically significant.
Figure 2Change in students’ self-efficacy to eat fruits and vegetables by area, grade, and BMI.
This study showed that the curriculum and school garden intervention improved student self-efficacy for healthy eating as measured by self-efficacy for F&V among Navajo. These results are consistent with those of other school-based interventions in indigenous and underserved communities.
School-based gardening, cooking and nutrition intervention increased vegetable intake but did not reduce BMI: Texas sprouts - a cluster randomized controlled trial.
Other healthy eating intervention studies in American Indian schools include Feast for the Future, Pathways, and Tribal Turning Point. The Pathways study was a group randomized controlled intervention trial of 41 schools in 3 areas, which found a significant reduction in percent energy from fat after a 3-year multicomponent intervention, including a nutrition education curriculum.
By contrast, the Tribal Turning Point study was a small individually randomized trial of participants aged 7–10 years with overweight or obesity. It used extracurricular active learning classes for youth and parents as part of its intervention and found intervention effects in BMI and physical activity but not in dietary self-efficacy.
School-based gardening, cooking and nutrition intervention increased vegetable intake but did not reduce BMI: Texas sprouts - a cluster randomized controlled trial.
and the use of repeated measures linear mixed models to evaluate the intervention effects. The LA Sprouts intervention was associated with a decrease in BMI Z-score and an increase in estimated daily vegetable servings,
School-based gardening, cooking and nutrition intervention increased vegetable intake but did not reduce BMI: Texas sprouts - a cluster randomized controlled trial.
other school-based obesity-prevention studies have focused not only on healthy eating behaviors but also on increasing physical activity or a generally healthy lifestyle program. Some of the studies include explicit parental involvement.
Including other family members in intervention studies might be expected to increase the intervention effect, as has been shown in at least 1 adult work-site‒based study.
This study found no differential increase in student self-efficacy to garden associated with the intervention, which is consistent with the findings of other studies in Hispanic/Latino youth.
As a caveat, the single question used in this study may not have captured the underlying construct adequately, namely confidence in being able to garden if a garden were available.
The significant increase in gardening self-efficacy among students in the intervention schools over the school year supported change over time, but responses from students in the comparison schools (where there was no school garden of any type in 3 of the 4 comparison schools) were also weakly indicative of change. It is possible that the measure that was used was subject to social desirability bias. By contrast, there was no evidence of change in student self-efficacy for gardening at home.
Limitations
The study had some limitations. The group randomized trial was small because only 6 schools were enrolled and randomized. Not all the adult caregivers of the third and fourth graders agreed for their child to participate in the survey, and the retention rate in the cohort of third and fourth graders from baseline to follow-up was 73%, so the results may not have been fully representative. Dietary behaviors were assessed using self-efficacy for F&V and metrics on the basis of the frequency of intake from the picture sort tool. None of these measures is considered as reliable as the 24-hour recall method. The 2 AHEI-based metrics may have been limited by the fact that only 6 of the 11 standard components of AHEI could be estimated from the picture sort tool used. Although other studies have included explicit home or family components of the intervention, this study included only implicit engagement with the home environment through what students took home with them from class. Long-term sustainability of improved self-efficacy for F&V was not evaluated within this study, although other multilevel interventions targeting F&V in adults have shown evidence of long-term changes.
The strengths of the study include its group randomized design and analysis. This work also provided a more accurate and culturally appropriate dietary intake assessment with demonstrated convergent validity and test‒retest reliability (unpublished observations, 2021).
CONCLUSIONS
This study showed that the curriculum and school garden intervention was efficacious in improving healthy eating behavior in Navajo elementary school students. Several other school-based interventions in indigenous or other underserved communities support this conclusion. Given the need for multilevel approaches to addressing obesity and diabetes disparities, the intervention warrants further evaluation among Navajo elementary schools in a larger group randomized trial involving more schools in a greater number of communities.
CRediT authorship contribution statement
Shirley A.A. Beresford: Conceptualization, Methodology, Formal analysis, Writing – original draft, Writing – review & editing. India J. Ornelas: Conceptualization, Methodology, Writing – original draft, Writing – review & editing. Mark C. Bauer: Resources, Writing – review & editing, Supervision. Geraldine A. Garrity: Resources, Writing – review & editing, Supervision. Sonia K. Bishop: Validation, Investigation, Data curation, Writing – review & editing, Visualization, Project administration. Brandon Francis: Investigation, Writing – review & editing. Eileen Rillamas-Sun: Validation, Software, Formal analysis, Data curation, Writing – original draft, Writing – review & editing. Linda V. Garcia: Supervision, Writing – review & editing. Filiberto S.A. Vecenti: Investigation, Writing – review & editing. Kevin A. Lombard: Conceptualization, Resources, Writing – original draft, Writing – review & editing, Supervision, Funding acquisition.
ACKNOWLEDGMENTS
Gratitude is extended to the students and their families, to the teachers and staff, and to the principals of the elementary schools in the Shiprock and Tsaile areas who participated in this study. Thanks go to the Navajo Nation Human Research Review Board; to the Chinle and the Northern Navajo Agency Councils; and to the school boards of Central Consolidated School District, Chinle Unified School District, and T'iis Nazbas and Lukachukai Community Schools for approval of the study. The study is indebted to Felix Nez, who was an integral part of delivering the gardening curriculum and of providing school garden technical assistance, and to team members who assisted in the collection of the data.
The views expressed in this manuscript are those of the guarantor and not an official position of the institution or funding agency.
The project was part of the Partnership for the Advancement of Cancer Research as Full Project Yéego! Healthy Eating & Gardening: funding was provided by NIH National Cancer Institute (2 U54 CA132381-11 and 2 U54 CA 132383-11).
Declarations of interest: none.
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U.S. Department of Agriculture and HHS. Dietary Guidelines for Americans, 2020–2025. 9th Edition. December 2020. https://DietaryGuidelines.gov. Accessed June 28, 2022.
Weindorf DC, Lombard KA. Rapid Assessment of Soil Metal Concentrations Along the Animas River, New Mexico. Paper presented at: Environmental Conditions of the Animas and San Juan Watersheds with Emphasis on Gold King Mine and Other Mine Waste Issues; San Juan College; Farmington, NM; 2016.
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School-based gardening, cooking and nutrition intervention increased vegetable intake but did not reduce BMI: Texas sprouts - a cluster randomized controlled trial.
Does the Royal Horticultural Society Campaign for School Gardening increase intake of fruit and vegetables in children? Results from two randomised controlled trials.
Effect of experiential vegetable education program on mediating factors of vegetable consumption in Australian primary school students: a cluster-randomized controlled trial.
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