View
218
Download
4
Tags:
Embed Size (px)
Citation preview
June 6, 2006June 6, 2006 Presentation by Laura Fanning and Celia Presentation by Laura Fanning and Celia FramsonFramson
Eat Better, Feel Better Eat Better, Feel Better T.T. Minor Elementary T.T. Minor Elementary
SchoolSchool
A program evaluation by A program evaluation by University of Washington University of Washington Nutritional Sciences 531 Nutritional Sciences 531
studentsstudents
Intervention at T.T. MinorIntervention at T.T. Minor
Part of national initiative: Healthy Eating Part of national initiative: Healthy Eating by Design (HEBD)by Design (HEBD)
HEBD funded by Robert Wood Johnson HEBD funded by Robert Wood Johnson FoundationFoundation
Goal to increase fruit and vegetable Goal to increase fruit and vegetable consumption among students and their consumption among students and their familiesfamilies
T.T. Minor also recipient of USDA Fresh T.T. Minor also recipient of USDA Fresh Fruits and Vegetables Program (provided Fruits and Vegetables Program (provided mid-morning snack)mid-morning snack)
Why the Need?Why the Need?
15% of U.S. children overweight15% of U.S. children overweightPrevalence has doubled in past 3 Prevalence has doubled in past 3
decadesdecadesOverweight children have more health Overweight children have more health
complications; more likely to become complications; more likely to become obese adultsobese adults
In 2002, estimated costs of treating In 2002, estimated costs of treating obesity-related conditions = $92 - obesity-related conditions = $92 - $117 billion$117 billion
Still Not Convinced?Still Not Convinced?
World Health Report shows that World Health Report shows that adequate fruit and vegetable adequate fruit and vegetable consumption can decrease obesity consumption can decrease obesity riskrisk
According to 2001 Youth Risk According to 2001 Youth Risk Behavior Survey only 21% of high Behavior Survey only 21% of high school students reported eating at school students reported eating at least five servings of fruits and least five servings of fruits and vegetables per dayvegetables per day
Why Intervene in Schools?Why Intervene in Schools?
Schools have most continuous contact Schools have most continuous contact with young childrenwith young children
Many children eat 2 meals a day at Many children eat 2 meals a day at schoolschool
Children eat more than half their daily Children eat more than half their daily calories at schoolcalories at school
Thus school-based interventions have Thus school-based interventions have powerful potential to influence dietary powerful potential to influence dietary behaviorbehavior
Key Project ElementsKey Project Elements Goal: Positively impact Goal: Positively impact
food environment for food environment for students and their students and their familiesfamilies
Multi-component Multi-component approach, comprising:approach, comprising: DietitianDietitian Salad barSalad bar Nutrition educationNutrition education Family nightsFamily nights Cooking demonstrationsCooking demonstrations School gardenSchool garden Mid-morning snack (USDA Mid-morning snack (USDA
Fruit and Vegetable Fruit and Vegetable Program)Program)
http://seattletimes.nwsource.com/html/pacificnw10092005/coverstory.html
Methods: Study DesignMethods: Study Design
Quasi- experimental design with no Quasi- experimental design with no baseline data available and no baseline data available and no randomization or blindingrandomization or blinding
MLK chosen as comparison schoolMLK chosen as comparison schoolSimilar demographicsSimilar demographicsNo nutrition interventionNo nutrition intervention
Study only included 5Study only included 5thth graders at graders at T.T. Minor and 4T.T. Minor and 4thth and 5 and 5thth grade grade combined class at MLK combined class at MLK
Methods: Evaluation ToolsMethods: Evaluation Tools
Lunchroom observationsLunchroom observationsStudent surveysStudent surveysFaculty/staff interviewsFaculty/staff interviewsParent/guardian interviewsParent/guardian interviews
Methods: Lunchroom Methods: Lunchroom ObservationsObservations
Trained study staff observed fruit Trained study staff observed fruit and vegetable intake of participating and vegetable intake of participating students during lunchtimestudents during lunchtime
Observations conducted at both Observations conducted at both schools over a 3 day period schools over a 3 day period
Each observer assigned 1-4 children Each observer assigned 1-4 children
Methods: Student SurveyMethods: Student Survey
Self-administeredSelf-administered Assessed intake Assessed intake Assessed self-efficacy for choosing fruits Assessed self-efficacy for choosing fruits
and vegetablesand vegetables Rated on five-category Likert scale from “I Rated on five-category Likert scale from “I
disagree very much” to “I agree very disagree very much” to “I agree very much”much”
Example question:Example question: ““For a snack, I think I can choose my favorite For a snack, I think I can choose my favorite
fruit instead of my favorite candy bar.”fruit instead of my favorite candy bar.”
Methods: Key Informant Methods: Key Informant InterviewsInterviews
Goal to evaluate the perceived Goal to evaluate the perceived effectiveness of the programeffectiveness of the program
Trained study staff interviewed T.T. Trained study staff interviewed T.T. Minor personnel Minor personnel n=19 n=19
Also interviewed parents and Also interviewed parents and guardians of T.T. Minor 5guardians of T.T. Minor 5thth graders gradersn=11n=11
Methods: Key Informant Methods: Key Informant InterviewsInterviews
Teachers and staff asked about:Teachers and staff asked about:Experiences with the programExperiences with the programEating behavior of the studentsEating behavior of the studentsOwn eating behaviorOwn eating behavior
Parents and guardians asked about:Parents and guardians asked about:Foods their families eatFoods their families eatExperiences with T.T. Minor intervention Experiences with T.T. Minor intervention
programsprograms
Statistical Analysis: Lunchroom Statistical Analysis: Lunchroom ObservationsObservations
Calculated mean consumption per Calculated mean consumption per lunch period per schoollunch period per school
Compared means at each school Compared means at each school using generalized estimating using generalized estimating equation equation
Two-sided p-value Two-sided p-value << 0.05 considered 0.05 considered significantsignificant
Statistical Analysis: Self-Statistical Analysis: Self-EfficacyEfficacy
Five Likert categories grouped into Five Likert categories grouped into two: Disagree or Agreetwo: Disagree or Agree
Between school difference analyzed Between school difference analyzed using:using: chi-square testchi-square testFisher’s exact when expected values < Fisher’s exact when expected values <
55Two-sided p-value Two-sided p-value << 0.05 considered 0.05 considered
significantsignificant
Analysis: Qualitative DataAnalysis: Qualitative Data
Answers to interview questions Answers to interview questions compiled in a spreadsheetcompiled in a spreadsheet
Yes/No responses summarized Yes/No responses summarized numericallynumerically
For open-ended questions, recurrent For open-ended questions, recurrent issues and emergent themes issues and emergent themes highlighted and groupedhighlighted and grouped
Results compared between analysis Results compared between analysis team members to verify interpretation team members to verify interpretation of responsesof responses
Results: Participation RatesResults: Participation Rates
T.T. MinorT.T. Minor 17/21 participated, rate 17/21 participated, rate
= 81%= 81% Student decline primary Student decline primary
reason for reason for nonparticipationnonparticipation
MLKMLK 15/20 participated, rate 15/20 participated, rate
= 75%= 75% Student decline primary Student decline primary
reason for reason for nonparticipationnonparticipation
http://seattletimes.nwsource.com/html/pacificnw10092005/coverstory.html
Results: Specific Self-Efficacy Results: Specific Self-Efficacy and Intake Questionsand Intake Questions
57% of T.T. Minor students agreed 57% of T.T. Minor students agreed they could eat a vegetable served for they could eat a vegetable served for lunch at school vs. 20% from MLK (p lunch at school vs. 20% from MLK (p = 0.04)= 0.04)
63% of students from T.T. Minor 63% of students from T.T. Minor reported eating 3 or more fruits vs. reported eating 3 or more fruits vs. 27% from MLK (p = 0.05)27% from MLK (p = 0.05)
36% of students from T.T. Minor 36% of students from T.T. Minor reported eating 3 or more vegetables reported eating 3 or more vegetables vs. 7% from MLK (p = 0.08)vs. 7% from MLK (p = 0.08)
Results: Self-Efficacy Results: Self-Efficacy QuestionsQuestions
Table 2: Self Efficacy Questions for students at T.T. Minor vs. MLK
Survey questions (Self-efficacy) P for χ2 test
I think I can eat a vegetable that is served for lunch at school 0.04
I think I can eat a fruit that is served for lunch at school 0.21
I think I can choose my favorite fruit instead of my favorite cookie for a snack 0.71
I think I can choose my favorite fruit instead of my favorite candy bar for a snack 0.27
I think I can choose my favorite raw vegetable with dip instead of my favorite cookie for a snack
0.70
I think I can choose my favorite raw vegetable with dip instead of my favorite candy bar for a snack
0.25
I think I can choose my favorite raw vegetable instead of chips for a snack 0.10
I think I can eat a serving of vegetables for dinner 0.34
I think I can eat my favorite fruit instead of my usual dessert for dinner 0.71
Results: Lunchroom Results: Lunchroom Observations, Summary Observations, Summary
StatisticsStatisticsOver the 3 days, T.T. Minor 5Over the 3 days, T.T. Minor 5thth
graders consumed:graders consumed: 0.07 cups (95% CI: -0.31 - 0.16) fewer 0.07 cups (95% CI: -0.31 - 0.16) fewer
fruits than MLK 4fruits than MLK 4thth and 5 and 5thth graders graders0.09 (95% CI: 0.03 - 0.22) cups more 0.09 (95% CI: 0.03 - 0.22) cups more
vegetables than MLK 4vegetables than MLK 4thth and 5 and 5thth graders graders0.01 (95% CI: -0.27 – 0.26) cups fewer 0.01 (95% CI: -0.27 – 0.26) cups fewer
total fruits and vegetables than MLK 4total fruits and vegetables than MLK 4thth and 5and 5thth graders graders
Results: Lunchroom Results: Lunchroom ObservationsObservations
Table 4: Summary of Daily Lunchroom Data
Item T.T. Minor MLK
Used Salad Bar Day 1 1 9/13 (69%) NA
Used Salad Bar Day 2 1 6/17 (35%) NA
Used Salad Bar Day 3 1 1/14 (7%) NA
Fruit Intake on Day 1 0.50 cups 0.32 cups
Fruit Intake on Day 2 0.15 cups 0.39 cups
Fruit Intake on Day 3 0.18 cups 0.30 cups
Vegetable Intake on Day 1 0.15 cups 0.14 cups
Vegetable Intake on Day 2 0.30 cups 0.03 cups
Vegetable Intake on Day 3 0.05 cups 0.06 cups
Total Fruits and Vegetables Intake on Day 1 0.58 cups 0.45 cups
Total Fruits and Vegetables Intake on Day 2 0.45 cups 0.43 cups
Total Fruits and Vegetables Intake on Day 3 0.23 cups 0.37 cups
Results: Parent/Guardian Results: Parent/Guardian InterviewsInterviews
Participation rate = 55%Participation rate = 55% Incorrect telephone number primary Incorrect telephone number primary
reason for nonparticipationreason for nonparticipationMajority of respondents aware of new Majority of respondents aware of new
salad bar and indicated their salad bar and indicated their child/children used itchild/children used it
Majority aware that fresh f/v Majority aware that fresh f/v available for snack and indicated available for snack and indicated their child/children ate themtheir child/children ate them
Results: Parent/Guardian Results: Parent/Guardian InterviewsInterviews
Most respondents Most respondents indicated awareness of indicated awareness of nutritionist in school nutritionist in school and thought she and thought she positively impacted positively impacted students’ eating students’ eating patternspatterns
““They have been They have been introduced to food at introduced to food at the food fair. It’s neat! the food fair. It’s neat! Now they watch for the Now they watch for the signs for the farmers’ signs for the farmers’ market because they market because they want to go.”want to go.”
http://depts.washington.edu/uwecor/projects/eatbetter_feelbetter.htm
Results: Parent/Guardian Results: Parent/Guardian InterviewsInterviews
Almost all respondents indicated Almost all respondents indicated their children asked them to buy their children asked them to buy more fruits and vegetablesmore fruits and vegetables
Almost all respondents indicated that Almost all respondents indicated that their child/children are eating more their child/children are eating more f/v than they did in the previous yearf/v than they did in the previous year
Over half of respondents indicated Over half of respondents indicated their family is eating more f/v than their family is eating more f/v than they did in the previous yearthey did in the previous year
Results: Teacher and Staff Results: Teacher and Staff InterviewsInterviews
Participation rate = 59%Participation rate = 59%Scheduling challenges due to limited Scheduling challenges due to limited
time frame main reason for time frame main reason for nonparticipationnonparticipation
Most respondents indicated they Most respondents indicated they would like to see the salad bar and would like to see the salad bar and morning snacks continuemorning snacks continue
Results: Teacher and Staff Results: Teacher and Staff InterviewsInterviews
Table 6: Teacher and Staff Interview Responses (n=19)
“Yes/No” Questions Yes No
Were the programs a burden to you? 0 (0%) 19 (100%)
Was it worth the extra effort? 17 (89%) 2 (11%)
Have you noticed a change in the eating behaviors for the students?19 (100%) 0 (0%)
Have you tasted any fruit or vegetable that was new to you since the beginning of the year? 15 (79%) 4 (21%)
Are you eating more fruits and vegetables now than you did last year?19 (100%) 0 (0%)
Has having a salad bar caused you to eat more fruits and vegetables than last year? 17 (89%) 2 (11%)
Has having a nutritionist on staff led you to change your eating behavior? 10 (53%) 9 (47%)
Teacher and Staff Teacher and Staff RecommendationsRecommendations
Increase variety and accessibility of salad bar Increase variety and accessibility of salad bar items and snacks:items and snacks: ““[I would like to see] more variety of food on the salad [I would like to see] more variety of food on the salad
bar. It got repetitive after a while.”bar. It got repetitive after a while.” ““I would like to see the salad bar lowered in height so all I would like to see the salad bar lowered in height so all
kids can reach it.” kids can reach it.” Suggestions for the classes and activities:Suggestions for the classes and activities:
““Include more in-depth health information at family Include more in-depth health information at family nights. Set up booth or health fair.” nights. Set up booth or health fair.”
““Offer more staff education.” Offer more staff education.” Other suggestions:Other suggestions:
““More time with staff. Katie is only here one time per More time with staff. Katie is only here one time per week.”week.”
DiscussionDiscussion
Fruit and vegetable consumption Fruit and vegetable consumption during the lunchroom observations during the lunchroom observations for 5for 5thth graders at T.T. Minor and 4 graders at T.T. Minor and 4thth and 5and 5thth graders at MLK was graders at MLK was quantitatively similarquantitatively similar
Qualitative data does suggest Qualitative data does suggest positive changes in dietary behavior positive changes in dietary behavior among students and their families, among students and their families, and school personneland school personnel
DiscussionDiscussion
Data from self-administered surveys Data from self-administered surveys reported:reported:63% of students from T.T. Minor ate 3 or 63% of students from T.T. Minor ate 3 or
more fruits vs. 27% from MLK (p = 0.05)more fruits vs. 27% from MLK (p = 0.05)36% of students from T.T. Minor ate 3 or 36% of students from T.T. Minor ate 3 or
more vegetables vs. 7% from MLK (p = more vegetables vs. 7% from MLK (p = 0.08)0.08)
Perhaps here we are seeing the effects Perhaps here we are seeing the effects of the multi-component approach to the of the multi-component approach to the EFBB programEFBB program
DiscussionDiscussion
Faculty/ Staff and Parent/Guardian Faculty/ Staff and Parent/Guardian responses overwhelmingly positive:responses overwhelmingly positive:All teachers indicated students All teachers indicated students
increased f/v intake over the yearincreased f/v intake over the year82% of P/G said their children ate more 82% of P/G said their children ate more
f/v than in the previous yearf/v than in the previous yearP/G also indicated their children asked P/G also indicated their children asked
them to buy more f/v than in the pastthem to buy more f/v than in the past
DiscussionDiscussion
Staff also reported making many Staff also reported making many positive changes for themselves:positive changes for themselves:100% indicated they eat more f/v than 100% indicated they eat more f/v than
before EBFB program before EBFB program 89% said the salad bar at T.T. Minor 89% said the salad bar at T.T. Minor
caused them to eat more f/v than last caused them to eat more f/v than last yearyear
79% indicated they tried a new f/v during 79% indicated they tried a new f/v during the programthe program
““I work out more because I feel better I work out more because I feel better about what I am eating.”about what I am eating.”
DiscussionDiscussion
Data suggest that T.T. Minor 5Data suggest that T.T. Minor 5thth graders graders exhibited greater self-efficacyexhibited greater self-efficacy57% of T.T. Minor 557% of T.T. Minor 5thth graders agreed they graders agreed they
could eat a vegetable served for lunch at could eat a vegetable served for lunch at school vs. 20% of 4school vs. 20% of 4thth and 5 and 5thth graders from graders from MLK (p = 0.04)MLK (p = 0.04)
Literature suggests that increased self-Literature suggests that increased self-efficacy may play a role in improving efficacy may play a role in improving fruit and vegetable consumption in fruit and vegetable consumption in childrenchildren
DiscussionDiscussion
Salad bar use declined over the three-Salad bar use declined over the three-day observation period:day observation period:Wed = 69%, Thurs = 35%, Fri = 7%Wed = 69%, Thurs = 35%, Fri = 7%
UW student observers reported UW student observers reported decreasing variety of f/v offered over decreasing variety of f/v offered over the three daysthe three days
Previous studies found a significant Previous studies found a significant positive association between variety positive association between variety and consumptionand consumption
LimitationsLimitations
Difficult to detect small differences Difficult to detect small differences with very small sample sizeswith very small sample sizesPrevious evaluations of school-based Previous evaluations of school-based
interventions reporting significant interventions reporting significant results had sample sizes ranging from results had sample sizes ranging from 319 - 2684319 - 2684
LimitationsLimitations
Discrepancy between lunch Discrepancy between lunch observation data and student, F/S, P/G observation data and student, F/S, P/G reports could be due to mid-morning reports could be due to mid-morning snacks provided by USDA f/v programsnacks provided by USDA f/v program
Accessibility of f/v may have been a Accessibility of f/v may have been a barrier to consumptionbarrier to consumptionHeight of salad barHeight of salad barWhole fruit rather than pre-cut (e.g., Whole fruit rather than pre-cut (e.g.,
oranges)oranges)
LimitationsLimitations
Ideal study design is RCT with Ideal study design is RCT with baseline data and blinding baseline data and blinding
Our study design assumed control and Our study design assumed control and intervention schools were identicalintervention schools were identical
Limited timeframe for:Limited timeframe for:Training lunchroom observersTraining lunchroom observersLunchroom observationsLunchroom observationsKey informant interviewsKey informant interviews
LimitationsLimitations
Sources of error:Sources of error:Observers not blinded to intervention Observers not blinded to intervention
statusstatusTend to bias toward finding associationsTend to bias toward finding associations
Students aware of being observed – may Students aware of being observed – may have altered behaviorhave altered behaviorCould introduce random error attenuating Could introduce random error attenuating
any associationany associationSelf-selection bias among P/G, F/S, and Self-selection bias among P/G, F/S, and
students that agreed to participatestudents that agreed to participateTend to bias toward finding associationsTend to bias toward finding associations
RecommendationsRecommendations
Improvements for future evaluations:Improvements for future evaluations:Larger sample sizeLarger sample sizeCapture influence of mid-morning snackCapture influence of mid-morning snackInclude 24-hr dietary recallInclude 24-hr dietary recallRigorous training of observersRigorous training of observersCollect base-line dataCollect base-line dataLonger timeframe for data collectionLonger timeframe for data collection
RecommendationsRecommendations
Improvements for Eat Better, Feel Improvements for Eat Better, Feel Better program:Better program:Lower height on salad bar (or install Lower height on salad bar (or install
ramp)ramp)Increase variety of f/v Increase variety of f/v Modify practices to ensure consistent Modify practices to ensure consistent
variety throughout the weekvariety throughout the weekIncrease availability of pre-cut fruitIncrease availability of pre-cut fruitExtend lunch periodExtend lunch period
ConclusionsConclusions
Although lunchtime observation data Although lunchtime observation data suggest that students at T.T. Minor did not suggest that students at T.T. Minor did not consume significantly more f/v than consume significantly more f/v than students at MLK, important limitations students at MLK, important limitations may mitigate ability to detect differencesmay mitigate ability to detect differences
Qualitative findings suggest that the Eat Qualitative findings suggest that the Eat Better, Feel Better program positively Better, Feel Better program positively impacts students’ self-efficacy, self-impacts students’ self-efficacy, self-reported f/v intake, and attitudes towards reported f/v intake, and attitudes towards f/vf/v
AcknowledgmentsAcknowledgments Faculty, staff, and students at T.T. Minor and MLK Faculty, staff, and students at T.T. Minor and MLK
elementary schoolselementary schools Drew Gagne at T.T. MinorDrew Gagne at T.T. Minor Rae Richardson at MLKRae Richardson at MLK Dr. Gloria Mitchell at T.T. MinorDr. Gloria Mitchell at T.T. Minor Barry Dorsey at MLKBarry Dorsey at MLK
Parents and guardians of T.T. Minor 5Parents and guardians of T.T. Minor 5thth graders graders Center for Public Health NutritionCenter for Public Health Nutrition
Donna Johnson, Molly Shaw, Lynne SmithDonna Johnson, Molly Shaw, Lynne Smith ECORECOR
Laura StreichertLaura Streichert Katie Busby, Kirsten Frandsen, Wendy Weyer of Katie Busby, Kirsten Frandsen, Wendy Weyer of
Seattle SchoolsSeattle Schools
ReferencesReferences Centers for Disease Control and Prevention. Centers for Disease Control and Prevention. Overweight and Obesity: Health Overweight and Obesity: Health
Consequences. Consequences. Retrieved 5/15/2006. Retrieved 5/15/2006. http://www.http://www.cdccdc..govgov//nccdphpnccdphp//dnpadnpa/obesity/consequences./obesity/consequences.htmhtm
Haskins R, Paxson C, Donahue E. Haskins R, Paxson C, Donahue E. Fighting Obesity in the Public Schools.Fighting Obesity in the Public Schools. The Future of The Future of Children Policy Brief. Spring 2006.Children Policy Brief. Spring 2006.
Daniels SR. Daniels SR. The Consequences of Childhood Overweight and Obesity.The Consequences of Childhood Overweight and Obesity. The Future of The Future of Children. Vol 16; No.1, Spring 2006.Children. Vol 16; No.1, Spring 2006.
Koplan JP, Liverman CT, Kraak VI. Koplan JP, Liverman CT, Kraak VI. Preventing childhood obesity: Health in the balance: Preventing childhood obesity: Health in the balance: Executive summary.Executive summary. Journal of the American Dietetic Association, 2005. 105(1): p. Journal of the American Dietetic Association, 2005. 105(1): p. 131-138.131-138.
Ogden, CL, et al., Ogden, CL, et al., Prevalence and trends in overweight among US children and Prevalence and trends in overweight among US children and adolescents, 1999-2000.adolescents, 1999-2000. JAMA, 2002. 288(14): p. 1728-32. JAMA, 2002. 288(14): p. 1728-32.
Whitaker RC et al., Whitaker RC et al., Predicting obesity in young adulthood from childhood and parental Predicting obesity in young adulthood from childhood and parental obesity.obesity. N Engl J Med, 1997. 337(13): p. 869-73. N Engl J Med, 1997. 337(13): p. 869-73.
Sallis JF, Glanz K. Sallis JF, Glanz K. The Role of Built Environments in Physical Activity, Eating, and The Role of Built Environments in Physical Activity, Eating, and Obesity in Childhood.Obesity in Childhood. The Future of Children. Vol 16; No.1, Spring 2006. The Future of Children. Vol 16; No.1, Spring 2006.
Gleason P, Suitor C, U.S. Food and Nutrition ServiceGleason P, Suitor C, U.S. Food and Nutrition Service. Children’s Diets in the Mid-. Children’s Diets in the Mid-1990s: Dietary Intake and Its Relationship with School Meal Participation. 1990s: Dietary Intake and Its Relationship with School Meal Participation. Special Special Nutrition Programs. 2001. No. CN-01-CD1Nutrition Programs. 2001. No. CN-01-CD1..
The World Health Report 2003: Shaping the Future. Accessed at The World Health Report 2003: Shaping the Future. Accessed at http://www.who.int/whr/2003/en/whr03_en.pdfhttp://www.who.int/whr/2003/en/whr03_en.pdf..
Grumbaum J, Kann L, Kinchen SA, et al: Grumbaum J, Kann L, Kinchen SA, et al: Youth risk behavior surveillance—United Youth risk behavior surveillance—United States, 2001.States, 2001. MMWR 51(SS04):1-64. 2002. MMWR 51(SS04):1-64. 2002.
French SA, Wechsler H. French SA, Wechsler H. School-based research and initiatives: fruit and vegetable School-based research and initiatives: fruit and vegetable environment, policy, and pricing workshop.environment, policy, and pricing workshop. Prev Med: 39 S101–S107. 2004. Prev Med: 39 S101–S107. 2004.
ReferencesReferences Robert Wood Johnson Foundation. Robert Wood Johnson Foundation. Active Grants: Childhood ObesityActive Grants: Childhood Obesity. Accessed at . Accessed at www.www.rwjfrwjf
.org/portfolios/resources/grant..org/portfolios/resources/grant.jspjsp?id=53324&iaid=138&gsa=1?id=53324&iaid=138&gsa=1 Washington State Department of Agriculture News Release. Washington State Department of Agriculture News Release. 25 schools set to receive free fresh 25 schools set to receive free fresh
fruits and vegetables: State is one of four chosen by USDA to offer free, healthy snacks. fruits and vegetables: State is one of four chosen by USDA to offer free, healthy snacks. Oct. Oct. 26, 2004. Accessed at 26, 2004. Accessed at http://agr.wa.gov/News/2004/25%20schools%20set%20to%20receive%20free%20fruits%20&%2http://agr.wa.gov/News/2004/25%20schools%20set%20to%20receive%20free%20fruits%20&%20vegetables.htm0vegetables.htm..
Glasgow RE, Lichtenstein E, Marcus AC. Why don’t we see more translation of health promotion Glasgow RE, Lichtenstein E, Marcus AC. Why don’t we see more translation of health promotion research to practice (Rethinking the efficacy-to-effectiveness transition). Am J Public Health. research to practice (Rethinking the efficacy-to-effectiveness transition). Am J Public Health. 2003;93:1261–1267. 2003;93:1261–1267.
Stables GJStables GJ, , Young EMYoung EM, , Howerton Howerton MWMW, , Yaroch Yaroch ALAL, Kuester S, Solera MK, Cobb K, Nebeling L. Small , Kuester S, Solera MK, Cobb K, Nebeling L. Small school-based effectiveness trials increase vegetable and fruit consumption among youth. J Am school-based effectiveness trials increase vegetable and fruit consumption among youth. J Am Diet Assoc. 2005 Feb;105(2):252-6.Diet Assoc. 2005 Feb;105(2):252-6.
Economic Research Service (ERS). Evaluation of the USDA Fruit and Vegetable Pilot Program: Economic Research Service (ERS). Evaluation of the USDA Fruit and Vegetable Pilot Program: Report to Congress. USDA, May 2003. Retrieved from http://www.uffva.org/pdf/FVPP.pdfReport to Congress. USDA, May 2003. Retrieved from http://www.uffva.org/pdf/FVPP.pdf
Eriksen K, Haraldsdottir J, Pederson R, Flyger H. Effect of a 688 fruit and vegetable subscription Eriksen K, Haraldsdottir J, Pederson R, Flyger H. Effect of a 688 fruit and vegetable subscription in Danish schools. Public Health Nutr 2003;6:57-63.in Danish schools. Public Health Nutr 2003;6:57-63.
Resnicow K, Davis-Hearn M, Smith M, Baranowski T, Lin LS, Baranowski J, Doyle C, Wang DT. Resnicow K, Davis-Hearn M, Smith M, Baranowski T, Lin LS, Baranowski J, Doyle C, Wang DT. Social-cognitive predictors of fruit and vegetable intake in children. Health Psychol. 1997 Social-cognitive predictors of fruit and vegetable intake in children. Health Psychol. 1997 May;16(3):272-6.May;16(3):272-6.
Blanchette L, Brug J. Determinants of fruit and vegetable consumption among 6-12-year-old Blanchette L, Brug J. Determinants of fruit and vegetable consumption among 6-12-year-old children and effective interventions to increase consumption. J Hum Nutr Diet. 2005 children and effective interventions to increase consumption. J Hum Nutr Diet. 2005 Dec;18(6):431-43.Dec;18(6):431-43.
Reynolds, K.D., Hinton, A.W., Schewchuk, R.M. & Hickey, C.A. (1999) Social coginitive model of Reynolds, K.D., Hinton, A.W., Schewchuk, R.M. & Hickey, C.A. (1999) Social coginitive model of fruit and vegetable consumption in elementary school children. fruit and vegetable consumption in elementary school children. J. Nutr. Educ.J. Nutr. Educ. 31, 23–30. 31, 23–30.
21. Adams MA, Pelletier RL, Zive MM, Sallis JF. Salad bars and fruit and vegetable consumption 21. 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 Nov;105(11):1789-92.in elementary schools: a plate waste study. J Am Diet Assoc. 2005 Nov;105(11):1789-92.