SYNOPSIS
Objectives
Consumption of fruit and vegetables among children is generally below recommended levels. This evaluation addressed two questions: (1) To what extent did children's attitudes toward, familiarity with, and preferences for fruit and vegetables change during the school year? and (2) To what extent did children's consumption of fruit and vegetables change during the school year?
Methods
During the 2004–2005 school year, the Mississippi Department of Education, Child Nutrition Programs initiated a pilot program to distribute free fruit and vegetables to students (kindergarten through 12th grade) during the school day. Data were collected in 2004–2005 within a one-group pretest/posttest design using a self-report questionnaire (n=725) and 24-hour dietary recalls (n=207) with a sample of students from five schools in Mississippi. Data were analyzed in 2006–2007.
Results
Results showed greater familiarity with fruit and vegetables at all grade levels (p<0.05) and increased preferences for fruit among eighth- and 10th-grade students (p<0.01). Eighth-grade students also reported more positive attitudes toward eating fruit and vegetables (p<0.01), increased perceived self-efficacy to eat more fruit (p<0.01), and increased willingness to try new fruit. Finally, results showed increased consumption of fruit, but not vegetables, among eighth- and 10th-grade students (p<0.001).
Conclusions
Distributing free fruit and vegetables at school may be a viable component of a more comprehensive approach for improving students' nutrition attitudes and behaviors. More program emphasis is needed on ways to promote vegetable consumption.
Diets rich in fruit and vegetables are associated with better health status.1 A number of school-based programs have shown positive effects on children's dietary behaviors; some have focused broadly on nutrition, physical activity, and heart health,2,3 whereas others have focused more specifically on fruit and vegetable consumption.4–6 Despite these successes, consumption of fruit and vegetables among adolescents is generally below recommended levels,7,8 supporting a need to identify effective strategies for promoting fruit and vegetable consumption, among other healthful dietary patterns.
Several states are now implementing programs in which they provide free fresh fruit and vegetable snacks to students during the school day. These programs stemmed from an initial pilot program proposed by Senator Tom Harkin in 20019 in which free fruit and vegetables were provided to schoolchildren in four states and one Indian tribal organization. The pilot later became a permanent initiative funded by the U.S. Department of Agriculture (USDA). The goal of these programs is to increase students' access to an array of fresh fruit and vegetables, thereby increasing the potential for influencing their preferences for and consumption of fruit and vegetables.10 Distributing fruit and vegetables at school also is consistent with socioecological models that support the need to address individual behaviors in the context of important environments, such as schools and homes.11
During the 2004–2005 school year, the Mississippi Department of Education (MS DOE), Office of Child Nutrition Programs received funding from the Centers for Disease Control and Prevention (CDC) for the Mississippi Fresh Fruit and Vegetable Program (MFVP). This initiative provided all children in 25 participating Mississippi schools with a variety of free fresh fruit and vegetables as a healthy snack option. CDC also funded an initial evaluation of the pilot program. This article describes the outcome evaluation results from the program's first year.
METHODS
Fruit and vegetable distribution program
The MFVP was coordinated and supported through the Office of Child Nutrition Programs of the MS DOE. As part of the program, schools received funding to buy and distribute free fresh fruit and vegetable snacks (e.g., apples, oranges, carrots, and celery) during the school day. Schools typically distributed the snacks in classrooms or in a central area. The most common methods of distribution included baskets, trays, and carts. Most schools served the snacks at morning break. Teachers and school personnel (e.g., nutrition services staff) distributed the snacks most of the time, with assistance from administrators and students at times. Schools used a variety of promotional and supplemental educational activities throughout the school year to promote program awareness and encourage students to try new fruit and vegetable snacks (e.g., food tasting events, newsletters, promotional posters, and classroom lessons). More details about program implementation are reported elsewhere.12
Evaluation design
The evaluation featured a one-group pretest/posttest design involving five schools (two elementary, one middle, one middle/high combination, and one high school) selected from the 25 school sites funded for program implementation during the 2004–2005 school year. The evaluation schools were selected based on grade levels served, geographic region, urbanicity, and racial/ethnic composition. The schools were spread across all five regions of the state (hills, delta, capital, coastal, and pines). Three of the five schools were considered rural, one was suburban, and one was urban. Most students at the five schools (57% to 99%) were eligible for free or reduced price lunch.
All students in grades five, eight, and 10 from the evaluation schools were invited to participate in the student questionnaire. A subset of students in grades eight and 10 were invited to take part in dietary recall interviews. We conducted the evaluation during the 2004–2005 school year.
Measures
Student questionnaire.
A self-report student questionnaire assessed demographics as well as a number of psychosocial constructs related to eating fruit and vegetables. We pilot-tested the questionnaire with a sample of fifth-, eighth-, and 10th-grade students (n=21) from Mississippi. We based final question modifications on pilot testing and input from CDC, USDA, and MS DOE. We computed Cronbach's alpha coefficients for each composite scale separately by grade level using baseline questionnaire data.
Attitudes toward eating fruit and vegetables included nine items measured on a five-point scale (1 = disagree a lot to 5 = agree a lot) from Baranowski et al.4 Reliability was good (Cronbach's alpha ranged from 0.70 for grade five to 0.75 for grade 10).
Perceived self-efficacy to eat more fruit or vegetables included two items each with composite scores ranging from 1 to 5 (1 = disagree a lot to 5 = agree a lot); the items were drawn from Resnicow and colleagues.13 Reliability was lower for fruit than for vegetables; Cronbach's alpha coefficients ranged from 0.46 (grade five) to 0.65 (grade 10) for fruit and from 0.77 (grade 10) to 0.79 (grade five) for vegetables.
Willingness to try new fruit or vegetables included three items, each measured on a five-point scale (1 = dislike very much to 5 = like very much). These items were developed expressly for the evaluation and showed good reliability (Cronbach's alpha ranged from 0.76 to 0.90).
Familiarity with fruit and vegetables and preferences for fruit and vegetables were drawn from Domel and colleagues.14 Familiarity scores were created separately for fruit and vegetables and reflected the proportion of items students reported ever having eaten from a list of 13 fruits (12 fresh and one dried fruit) and seven raw vegetables. The list of items was based on input from MS DOE and from students during the questionnaire pilot test process. Cronbach's alpha coefficients ranged from 0.65 to 0.78. Preference scores were based on a three-point scale measuring how much students liked each fruit and vegetable on the list (1 = a lot, 2 = a little, 3 = not at all). Cronbach's alpha coefficients for these items ranged from 0.70 to 0.79. All exposure and preference items included pictures of the fruit and vegetables to provide a visual reference.
Intentions to eat more fruit or vegetables included two items, each measured on a four-point scale (1 = I never would to 4 = I would most of the time). We adapted the items from similar items used in the evaluation of the USDA Fruit and Vegetable Pilot Program.9 As with perceived self-efficacy, baseline reliability was lower for fruit than for vegetables. Cronbach's alpha coefficients for intentions to eat fruit ranged from 0.49 (grade eight) to 0.65 (grade 10). Coefficients for intentions to eat vegetables ranged from 0.76 (grade eight) to 0.78 (grades five and 10).
Frequency of eating fruit and vegetables served with the school meal program included four items that were analyzed individually. Each item assessed how often students reported eating the fruit or vegetable offered with the school breakfast and lunch programs (never to most/all of the time).
Dietary recall interview.
We collected dietary recall data among eighth- and 10th-grade students using a paper-and-pencil adaptation of the 24-hour dietary recall interview protocol used in the Child and Adolescent Trial for Cardiovascular Health intervention study.2 Self-reported dietary recalls have been found to be valid with children as young as age 815 and can be used to estimate food intake at a group level.16
Data collection
Consistent with local practice in the schools studied, we used passive parental permission for all data collection activities, with a follow-up notification to the subset of students who were selected to take part in the dietary recall interviews. We distributed the parent permission forms in specific classrooms at school. Students whose parents did not opt out of the evaluation were asked if they agreed to participate. All data collection procedures and assessment tools were reviewed and approved by the Institutional Review Board of ETR Associates.
Student questionnaire.
Trained data collectors administered the pretest and posttest student questionnaires in classrooms. Students filled out the paper-and-pencil questionnaires individually; most students finished in 30–35 minutes.
Dietary recall interview.
Dietitians and trained nutrition interviewers from Mississippi collected the dietary recall data during the school day. They administered interviews one-on-one in a private location (e.g., school library) during school hours. They used props (e.g., two-dimensional food model cards and measuring cups) to help participants complete the interviews. They recorded students' verbal responses to interview questions on standard paper-and-pencil forms (food intake form, recipe form, and a supplemental foods form). They conducted interviews on a Tuesday, Wednesday, or Thursday to assess consumption during the school week and to maximize school attendance. Recalls required 30–40 minutes to complete each time.
Student sample and attrition
Student questionnaire.
The final questionnaire sample included 725 students (179 in grade five, 306 in grade eight, and 240 in grade 10) who had permission and provided assent. Of these students, 660 (91%) completed both pretest and posttest assessments; follow-up rates were similar across grade levels (94%, 91%, and 90% in grades five, eight, and 10, respectively).
Dietary recall.
The sample for the dietary recall interview included 207 randomly selected students in grade eight (n=106) or grade 10 (n=101). We intentionally restricted the sample to 207 students based on budgetary resources available for the evaluation. A total of 191 (92%) of these students completed both pretest and posttest recall interviews.
Student demographic characteristics.
Baseline characteristics of the students completing questionnaires and recall interviews are provided in Table 1.
Table 1.
aDemographic characteristics of the sample reflect those of the schools that students attend.
MFVP = Mississippi Fruit and Vegetable Program
Statistical analysis
We analyzed pretest/posttest changes in student questionnaire data between baseline and follow-up separately by grade level using paired t-tests. We set statistical significance at p≤0.05. We analyzed dietary recall interviews for fruit and vegetable servings based on USDA's Pyramid Servings Database (version 2).17 Because the program focused on distributing fresh fruit and vegetables, we analyzed data on fruit and vegetable servings in two ways: total number of servings of fruit and vegetables consumed and number of fresh fruit and vegetable servings. We analyzed the number of vegetable servings with and without white potatoes and with and without fried potatoes.
We also analyzed recall data for selected vitamins, minerals, and macronutrients with the Food Intake Analysis System, which uses the 1994–1996 and 1998 USDA Continuing Survey of Food Intakes by Individuals Nutrient Database.18,19 We analyzed pretest/posttest changes in dietary recall data between baseline and follow-up with paired t-tests. We set statistical significance at p≤0.05. We completed analyses in 2006–2007 using SPSS® software.20
RESULTS
Changes in attitudes toward, self-efficacy, and willingness to eat fruit and vegetables varied by grade level (Table 2). For example, at posttest eighth-grade students reported more positive attitudes toward eating fruit and vegetables (p<0.01), beliefs that they could eat more fruit (p<0.01), and willingness to try new fruit (p<0.01), but this pattern was not evident among fifth- or 10th-grade students. Among fifth-grade students, willingness to try new fruit (p=0.01), willingness to try new vegetables (p=0.03), and beliefs that they could eat more vegetables (p=0.04) decreased significantly.
Table 2.
aA significant positive (+) or negative (−) change in the mean from pretest to posttest
bP-values from within-group pretest/posttest (no comparison) paired t-tests
cHigher numbers on ranges refer to more positive attitudes, stronger beliefs, and more willingness to try new foods.
dStatistically significant at p<0.05
MFVP = Mississippi Fruit and Vegetable Program
NS = not significant
Students' familiarity with fruit and vegetables increased across all grade levels. As shown in Table 3, the variety of fruit and vegetables ever eaten increased significantly among fifth-, eighth-, and 10th-grade students.
Table 3.
aA significant positive (+) or negative (−) change in the mean from pretest to posttest
bP-values from within-group pretest/posttest (no comparison) paired t-tests
cNumber of types of fruit and vegetables students have ever eaten divided by total number of types of fruit and vegetables asked about in the questionnaire (13 fruit and seven vegetables)
dStatistically significant at p<0.05
MFVP = Mississippi Fruit and Vegetable Program
Changes in students' preferences for fruit and vegetables also varied by grade level (Table 4). Preferences for fruit increased significantly among eighth- and 10th-grade students (p=0.01 and p<0.01, respectively), but decreased significantly among fifth-grade students (p=0.03). Preferences for vegetables decreased significantly among fifth- and eighth-grade students (p<0.01 and p=0.01, respectively), but remained unchanged among 10th-grade students.
Table 4.
aA significant positive (+) or negative (–) change in the mean from pretest to posttest
bP-values from within-group pretest/posttest (no comparison) paired t-tests
cHigher numbers on ranges refer to stronger preferences and intentions.
dStatistically significant at p<0.05
MFVP = Mississippi Fruit and Vegetable Program
NS = not significant
Students' intentions to eat fruit increased significantly among 10th-grade students (p=0.01) but not among fifth- and eighth-grade students. We did not detect significant changes in intentions to eat vegetables for fifth, eighth-, or 10th-grade students.
According to data collected using 24-hour recall interviews, students' consumption of fruit in school and overall increased significantly, by 0.34 and 0.61 servings per day, respectively (p<0.01) (Table 5). Students' consumption of all vegetables (including fried and white potatoes) in school decreased significantly (p=0.05), but consumption of all vegetables overall did not change.
Table 5.
aA significant positive (+) or negative (−) change in the mean from pretest to posttest
bP-values from within-group pretest-posttest (no comparison) paired t-tests
cStatistically significant at p<0.05
MFVP = Mississippi Fruit and Vegetable Program
NS = not significant
We noted similar patterns when restricting analyses to fresh fruit and vegetables only. Students' consumption of fresh fruit in school increased significantly (p=0.02); consumption of fresh fruit overall did not change. Consumption of fresh vegetables in school and overall remained unchanged. The decrease in the number of vegetable servings consumed in school was still present when we analyzed vegetables excluding fried potatoes or excluding all white potatoes; however, the decrease was no longer significant (Table 5).
Intake of vitamin C increased overall (p=0.03) and intake of dietary fiber increased in school (p=0.02). Consumption of other nutrients (vitamin A, carotene, folate, and potassium) did not change significantly (Table 5).
As part of the self-report questionnaire, we asked students to report how often they ate the fruit and vegetables offered at school breakfast and lunch. Reported consumption of fruit with the school breakfast and lunch varied by grade level (Table 6). Changes in consumption were most consistent among 10th-grade students, with the exception of eating fruit at school lunch. Consumption by fifth-grade students either decreased or remained unchanged. For eighth-grade students, consumption of fruit or vegetables at breakfast remained unchanged; however, reported consumption of fruit at lunch increased and the increase was statistically significant (p=0.01).
Table 6.
aA significant positive (+) or negative (−) change in the mean from pretest to posttest
bP-values from within-group pretest-posttest (no comparison) paired t-tests
cBased on a four-point scale ranging from 1 = never to 4 = most/all of the time
dStatistically significant at p<0.05
MFVP = Mississippi Fruit and Vegetable Program
NS = not significant
DISCUSSION
The results of this pilot evaluation suggest that the MFVP may have helped to increase students' exposure to fruit and vegetables across all grade levels, which is consistent with the program's primary aim. The data suggest that the program modestly affected eighth- and 10th-grade students' attitudes, preferences for, and intentions to eat more fruit; it also appears to have helped to increase eighth- and 10th-grade students' consumption of fruit and fresh fruit during the school year. These results are similar to selected findings in other studies examining the effects of distributing free fresh fruit and/or vegetables.
For example, Jamelske and colleagues21 found that students at schools distributing fresh fruit and vegetable snacks were more willing to try new fruit and vegetables at school than were control-group students; these effects did not appear to transfer to home. Similarly, Fogarty and colleagues22 found that children's fruit consumption increased as a result of a national school fruit program in which children aged 4–6 years were given a daily piece of fruit at school. The effects dissipated after children aged out of the program. Further, Bere et al.23 found strong effects of a fruit and vegetable snack and educational program on students' fruit and vegetable consumption at school and overall (school and home combined). Effects were still observed one year after the distribution of free fruit and vegetable snacks had ended (parents could and did subscribe to the program at a minimal cost).
The Mississippi program did not appear to increase vegetable consumption, with one exception—on the student questionnaire, 10th-grade students reported that they were more likely to eat the vegetables offered at school breakfast and lunch. These results were consistent with observations of administrators, parents, and students, suggesting that vegetables were less popular than fruit. Other studies aimed at improving fruit and vegetable consumption have noted similar findings. For example, Acheampong and colleagues24 noted that the program entitled “5 a Day the Bash Street Way” increased consumption of fruit but not vegetables. In focus groups, students in Mississippi indicated a preference for cooked vs. raw vegetables, which may be a difficult challenge to overcome for these types of programs. Other strategies, such as offering low-fat dips, may be more feasible. School staff reported that serving vegetables with dip increased students' willingness to try them. Students reported similar views. The recall data suggested that students' consumption of all vegetables decreased at school; however, this finding was no longer significant when potatoes were excluded from vegetable servings, suggesting that, at a minimum, the program did not have a negative impact on eating vegetables promoted by the program.
The program appeared to be more successful with eighth- and 10th-grade students than with fifth-grade students. Elementary school students' willingness to try and preferences for new fruit and vegetables actually decreased. The lack of positive findings among fifth-grade students is consistent with research on food preferences across the life span.25,26 Younger children tend to prefer sweeter, more energy-dense foods (e.g., foods with high caloric content by weight, such as butter) over energy-dilute foods (e.g., foods with low calorie content by weight, such as vegetables and plain popcorn), a pattern that is thought to be influenced by physiological needs, and one that begins to change at puberty.25 Children are also predisposed to reject new foods—except those that are sweet or salty26—and they have lower preferences for vegetables.27 Skinner and colleagues27 also found that the number of disliked foods increased as children tasted new foods; our findings were consistent with this research. Indeed, the fifth-grade students reported tasting more fruit and vegetables during the school year; at the same time, they reported liking fewer of the fruit and vegetables they tasted.
Despite the many factors contributing to children's food preferences, current research suggests that it is possible to influence food preferences through repeated tastings or exposures. For example, Wardle and colleagues found that children's liking and consumption of sweet red pepper increased significantly with repeated daily exposures during the course of eight days.28 Others have noted that between eight and 15 exposures are needed to alter preferences.29 During the MFVP, staff reported that they tended to stop purchasing vegetables that were rejected immediately by children to avoid waste and to maintain students' interest in the program. It may be important to consider a different strategy for introducing new vegetables through school-based fruit and vegetable snack programs to maximize success. For example, it may be helpful to host tasting events during repeated days (eight to 10 days) with new vegetables before buying them for school-wide distribution.
Other research emphasizes the importance of family influences and availability in fruit and vegetable consumption. For example, eating with family members, especially parents, is associated with increased consumption of fruit and vegetables.30,31 Similarly, availability, particularly at home, is linked to increased consumption.32 Finally, parental modeling is important to promote consumption.27,33 These factors could be beneficial leverage points for fresh fruit and vegetable programs. Future programs may consider capitalizing on this potential by emphasizing parents' role in increasing fruit and vegetable consumption through eating as a family, making fruit and vegetables available at home, and modeling consumption. Anecdotal evidence from the evaluation suggests that the free fresh fruit and vegetable program could help with these influences. During focus group interviews with parents, several parents of children at varying grade levels commented that their children asked them to buy fruit and vegetables that were served at school, which they did.
Interestingly, staff reactions alone would have suggested much stronger outcomes for fifth-grade students than were captured with the student questionnaire. More research is needed on how to best assess the effects of this type of program on younger children. Although there is empirical support for collecting self-administered nutrition-related questionnaires from fourth- and fifth-grade students,14 and there did not appear to be significant comprehension challenges during questionnaire pilot testing or administration, it is possible that the younger students may have had more challenges than the older students in understanding some of the questionnaire items. Nonetheless, the research on collecting data from children suggests that, in general, children aged 9 years and older are capable of contributing valid information about their own feelings, experiences, behaviors, and physical symptoms through many of the traditional data collection methods, such as diaries, in-person interviews, written surveys, and computer-based surveys.34
Limitations and strengths
The evaluation had several limitations. Data were collected within a one-group (no comparison group) pretest/posttest design, limiting the ability to attribute changes in students' attitudes, preferences, and eating behaviors to the program. Without a comparison group, the influences of factors such as seasonality, national attention on the issue of obesity, or other unknown trends cannot be ruled out.
If seasonality were an issue, biases resulting from seasonal availability of produce would have had the most significant effect on the types of fruit and vegetables eighth- and 10th-grade students reported eating on the food frequency scale and 24-hour recall interviews. It is possible that students in Mississippi may have had more fresh fruit and vegetable options available in fall than in spring (Personal communication, Dr. T. Carithers, University of Mississippi, August 2005); however, the program may have helped equalize the availability of fresh produce in spring somewhat by providing fresh fruit and vegetable snacks at school. Further, analyses compared data collected in early fall (pretest) and late spring (posttest) rather than from two stark opposite seasons (e.g., summer and winter); this may have helped to minimize the threat of seasonality. Finally, for both types of data, we examined the total number of servings of fruit and vegetables (fresh, frozen, dried, or canned), further minimizing the biases that might result from examining consumption of fresh produce alone.
Other important limitations include the sample size for the dietary recall interviews, intervention intensity, and the stage of intervention implementation. The sample for the dietary recall interviews was relatively small. We established the sample size to allow for overall group estimates, with an expectation of being able to detect small to medium effects in the mean number of servings of fruit or vegetables. The sample size was too small to support tests of subgroup differences (e.g., gender or grade-level differences), limiting the ability to assess program effects among subgroups.
The intervention (distributing free fruit and vegetables) was relatively modest. Schools augmented the distribution with a variety of nutrition education activities, but students' exposure to these activities was not assessed at the individual level, thereby limiting conclusions about how these may have affected the outcomes.
Finally, at the time of this evaluation, the MFVP was a new program for Mississippi schools, and the evaluation year represented the first year of implementation. Schools experienced a range of start-up and implementation challenges that could have affected the program's overall impact; nonetheless, schools suggested the challenges were limited, and program coordinators reported that they were able to address most of the challenges relatively early in the school year.
The study also had a number of strengths. For example, it had high participation and retention rates in both the student surveys and 24-hour recall interviews. It included both elementary and secondary-level students, and analyzed their survey data separately. Similarly, this study examined fruit- and vegetable-related data separately. Although some studies have taken a similar approach, many studies have combined fruit and vegetable indicators, potentially obscuring differential program impacts. This study more specifically addressed the program's goals by examining the recall data with and without potatoes and only fresh vs. all fruit and vegetables, providing a more specific analysis of how these programs might impact student outcomes. Finally, we examined consumption of fruit and vegetables as measured in the recall both in school and overall, providing an opportunity to better understand where behavioral influences may be occurring.
CONCLUSION
This pilot evaluation demonstrated the potential of the fresh fruit and vegetable distribution program in enhancing familiarity with a variety of fruit and vegetables among elementary and secondary school students, and increasing fruit consumption and related attitudes among secondary school students. Overall, the program effects detected in this pilot evaluation were relatively modest, but findings for older youth are encouraging, especially given recent evidence suggesting that fruit and vegetable consumption declines during transitions from early to middle and middle to late adolescence.8
More program emphasis is needed on identifying, packaging, and promoting vegetable consumption among all students. Additionally, program effects may be stronger if implemented as a component of a more comprehensive program aimed at improving children's nutrition in and out of school.35 Further evaluation is needed to study the effects of this type of program under a randomized, controlled design. More focus on the age-related findings is also warranted. Based on the factors measured in this evaluation, the benefits for younger children are less clear; yet, anecdotal evidence suggests value for the entire school community, including elementary school communities.
Footnotes
The Mississippi Fruit and Vegetable Program pilot evaluation was supported by funding from the Division of Adolescent and School Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention (CDC) (Contract # 200-2002-00800).
The evaluation could not have occurred without the support of the Office of Child Nutrition; the Mississippi Department of Education; and the school district representatives, principals, teachers, other school personnel, students, and parents who welcomed us at their schools. The authors also were supported by an outstanding team of Mississippi-based data collectors.
The findings and conclusions in this article are those of the authors and do not necessarily represent the views of CDC.
REFERENCES
- 1.Department of Health and Human Services, Department of Agriculture (US) Dietary guidelines for Americans, 2005. 6th ed. Washington: U.S. Government Printing Office; 2005. [Google Scholar]
- 2.Luepker RV, Perry CL, McKinlay SM, Nader PR, Parcel GW, Stone EJ, et al. Outcomes of a field trial to improve children's dietary patterns and physical activity: the Child and Adolescent Trial for Cardiovascular Health. JAMA. 1996;275:768–76. doi: 10.1001/jama.1996.03530340032026. [DOI] [PubMed] [Google Scholar]
- 3.Williams CL, Bollella MC, Strobino BA, Spark A, Nicklas TA, Tolosi LB, et al. “Healthy-start”: outcome of an intervention to promote a heart healthy diet in preschool children. J Am Coll Nutr. 2002;21:62–71. doi: 10.1080/07315724.2002.10719195. [DOI] [PubMed] [Google Scholar]
- 4.Baranowski T, Davis M, Resnicow K, Baranowski J, Doyle C, Lin LS, et al. Gimme 5 fruit, juice, and vegetables for fun and health: outcome evaluation [published erratum appears in Health Educ Behav 2000;27:390] Health Educ Behav. 2000;27:96–111. doi: 10.1177/109019810002700109. [DOI] [PubMed] [Google Scholar]
- 5.Perry CL, Bishop DB, Taylor G, Murray DM, Mays RW, Dudovitz BS, et al. Changing fruit and vegetable consumption among children: the 5-a-Day Power Plus program in St. Paul, Minnesota. Am J Public Health. 1998;88:603–9. doi: 10.2105/ajph.88.4.603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nicklas TA, Johnson CC, Myers L, Farris RP, Cunningham A. Outcomes of a high school program to increase fruit and vegetable consumption: Gimme 5—a fresh nutrition concept for students. J Sch Health. 1998;68:248–53. doi: 10.1111/j.1746-1561.1998.tb06348.x. [DOI] [PubMed] [Google Scholar]
- 7.Neumark-Sztainer D, Story M, Hannan PJ, Croll J. Overweight status and eating patterns among adolescents: where do youths stand in comparison with the Healthy People 2010 objectives? Am J Public Health. 2002;92:844–51. doi: 10.2105/ajph.92.5.844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Larson NI, Neumark-Sztainer D, Hannan PJ, Story M. Trends in adolescent fruit and vegetable consumption, 1999–2004: project EAT. Am J Prev Med. 2007;32:147–50. doi: 10.1016/j.amepre.2006.10.011. [DOI] [PubMed] [Google Scholar]
- 9.Buzby JC, Guthrie JF, Kantor LS. Evaluation of the USDA fruit and vegetable pilot program: report to Congress. Washington: Department of Agriculture (US), Economic Research Service, Food and Rural Economics Division, Food Assistance and Nutrition Research Program; 2003. [Google Scholar]
- 10.Cullen KW, Baranowski T, Owens E, Marsh T, Rittenberry L, de Moor C. Availability, accessibility, and preferences for fruit, 100% fruit juice, and vegetables influence children's dietary behavior. Health Educ Behav. 2003;30:615–26. doi: 10.1177/1090198103257254. [DOI] [PubMed] [Google Scholar]
- 11.Davison KK, Birch LL. Childhood overweight: a contextual model and recommendations for future research. Obes Rev. 2001;2:159–71. doi: 10.1046/j.1467-789x.2001.00036.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Coyle K, Potter S. Mississippi Fruit and Vegetable Pilot Evaluation: final report. Scotts Valley (CA): ETR Associates; 2006. [Google Scholar]
- 13.Resnicow K, Davis-Hearn M, Smith M, Baranowski T, Lin LS, Baranowski J, et al. Social-cognitive predictors of fruit and vegetable intake in children. Health Psychol. 1997;16:272–6. doi: 10.1037//0278-6133.16.3.272. [DOI] [PubMed] [Google Scholar]
- 14.Domel SB, Baranowski T, Davis H, Leonard SB, Riley P, Baranowski J. Measuring fruit and vegetable preferences among 4th and 5th grade students. Prev Med. 1993;22:866–79. doi: 10.1006/pmed.1993.1078. [DOI] [PubMed] [Google Scholar]
- 15.Lytle LA, Nichaman MZ, Obarzanek E, Glovsky E, Montgomery D, Nicklas T, et al. Validation of 24-hour recalls assisted by food records in third-grade children. The CATCH Collaborative Group. J Am Diet Assoc. 1993;93:1431–6. doi: 10.1016/0002-8223(93)92247-u. [DOI] [PubMed] [Google Scholar]
- 16.Johnson RK, Driscoll P, Goran MI. Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. J Am Diet Assoc. 1996;96:1140–4. doi: 10.1016/S0002-8223(96)00293-3. [DOI] [PubMed] [Google Scholar]
- 17.Cook AJ, Friday JE. Pyramid servings database for USDA survey food codes: version 2.0. Beltsville (MD): Department of Agriculture (US), Agricultural Research Service; 2004–2006. [Google Scholar]
- 18.University of Texas-Houston. Food intake analysis system, millennium edition. Houston: University of Texas-Houston, School of Public Health; 2005. [Google Scholar]
- 19.Department of Commerce (US), National Technical Information Service, Department of Agriculture (US), Agricultural Research Service. Continuing Survey of Food Intakes by Individuals (CSFII) in 1994–96 and 1998 and the Diet and Health Knowledge Survey (DHKS) in 1994–96. Springfield (VA): Department of Commerce (US), National Technical Information Service; 1998. [Google Scholar]
- 20.SPSS Inc. SPSS®: Version 13.0.1 for Windows, Release 2.21. Chicago: SPSS Inc.; 2005. [Google Scholar]
- 21.Jamelske E, Bica LA, McCarty DJ, Meinen A. Preliminary findings from an evaluation of the USDA Fresh Fruit and Vegetable Program in Wisconsin schools. WMJ. 2008;107:225–30. [PubMed] [Google Scholar]
- 22.Fogarty AW, Antoniak M, Venn AJ, Davies L, Goodwin A, Salfield N, et al. Does participation in a population-based dietary intervention scheme have a lasting impact on fruit intake in young children? Int J Epidemiol. 2007;36:1080–5. doi: 10.1093/ije/dym133. [DOI] [PubMed] [Google Scholar]
- 23.Bere E, Veierød MB, Bjelland M, Klepp K-I. Free school fruit—sustained effect 1 year later. Health Educ Res. 2006;21:268–75. doi: 10.1093/her/cyh063. [DOI] [PubMed] [Google Scholar]
- 24.Acheampong R, Woolfe J, Levy L. Encouraging consumption of fruit and vegetables by young people through school-based intervention. J Biol Educ. 2003;37:122–5. [Google Scholar]
- 25.Drewnowski A. Sensory control of energy density at different life stages. Proc Nutr Soc. 2000;59:239–44. [PubMed] [Google Scholar]
- 26.Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998;101(3 Pt 2):539–49. [PubMed] [Google Scholar]
- 27.Skinner JD, Carruth BR, Wendy B, Ziegler PJ. Children's food preferences: a longitudinal analysis. J Am Diet Assoc. 2002;102:1638–47. doi: 10.1016/s0002-8223(02)90349-4. [DOI] [PubMed] [Google Scholar]
- 28.Wardle J, Herrera ML, Cooke L, Gibson EL. Modifying children's food preferences: the effects of exposure and reward on acceptance of an unfamiliar vegetable. Eur J Clin Nutr. 2003;57:341–8. doi: 10.1038/sj.ejcn.1601541. [DOI] [PubMed] [Google Scholar]
- 29.Sullivan SA, Birch LL. Pass the sugar, pass the salt: experience dictates preference. Dev Psychol. 1990;26:546–51. [Google Scholar]
- 30.Gillman MW, Rifas-Shiman SL, Frazier AL, Rockett HR, Camargo CA, Jr, Field AE, et al. Family dinner and diet quality among older children and adolescents. Arch Fam Med. 2000;9:235–40. doi: 10.1001/archfami.9.3.235. [DOI] [PubMed] [Google Scholar]
- 31.Videon TM, Manning CK. Influences on adolescent eating patterns: the importance of family meals. J Adolesc Health. 2003;32:365–73. doi: 10.1016/s1054-139x(02)00711-5. [DOI] [PubMed] [Google Scholar]
- 32.Neumark-Sztainer D, Wall M, Perry C, Story M. Correlates of fruit and vegetable intake among adolescents: findings from project EAT. Prev Med. 2003;37:198–208. doi: 10.1016/s0091-7435(03)00114-2. [DOI] [PubMed] [Google Scholar]
- 33.Fisher JO, Mitchell DC, Smiciklas-Wright H, Birch LL. Parental influences on young girls' fruit and vegetable, micronutrient, and fat intakes. J Am Diet Assoc. 2002;102:58–64. doi: 10.1016/s0002-8223(02)90017-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rebok G, Riley A, Forrest C, Starfield B, Green B, Robertson J, et al. Elementary school-aged children's reports of their health: a cognitive interviewing study. Qual Life Res. 2001;10:59–70. doi: 10.1023/a:1016693417166. [DOI] [PubMed] [Google Scholar]
- 35.de Sa J, Lock K. School-based fruit and vegetable schemes: a review of the evidence. London: London School of Hygiene and Tropical Medicine, Department of Public Health and Policy; 2007. [Google Scholar]