|Title||The Shaping Healthy Choices Program: design and implementation methodologies for a multicomponent, school-based nutrition education intervention.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Scherr, RE, Linnell, JD, Smith, MH, Briggs, M, Bergman, J, Brian, KM, Dharmar, M, Feenstra, G, Hillhouse, C, Keen, CL, Nguyen, LM, Nicholson, Y, Ontai, L, Schaefer, SE, Spezzano, T, Steinberg, FM, Sutter, C, Wright, JE, Young, HM, Zidenberg-Cherr, S|
|Journal||J Nutr Educ Behav|
|Date Published||2014 Nov-Dec|
|Keywords||Body Mass Index, California, Child, Child Behavior, Child Nutrition Sciences, Child Nutritional Physiological Phenomena, Choice Behavior, Female, Food Services, Health Knowledge, Attitudes, Practice, Humans, Longitudinal Studies, Male, Motor Activity, Nutrition Policy, Overweight, Patient Compliance, Patient Education as Topic, Risk, Schools|
OBJECTIVE: To provide a framework for implementation of multicomponent, school-based nutrition interventions. This article describes the research methods for the Shaping Healthy Choices Program, a model to improve nutrition and health-related knowledge and behaviors among school-aged children.
DESIGN: Longitudinal, pretest/posttest, randomized, controlled intervention.
SETTING: Four elementary schools in California.
PARTICIPANTS: Fourth-grade students at intervention (n = 252) and control (n = 238) schools and their parents and teachers. Power analyses demonstrate that a minimum of 159 students per group will be needed to achieve sufficient power. The sample size was determined using the variables of nutrition knowledge, vegetable preference score, and body mass index percentile.
INTERVENTION: A multicomponent school-based nutrition education intervention over 1 academic year, followed by activities to support sustainability of the program.
MAIN OUTCOME MEASURES: Dietary and nutrition knowledge and behavior, critical thinking skills, healthy food preferences and consumption, and physical activity will be measured using a nutrition knowledge questionnaire, a food frequency questionnaire, a vegetable preferences assessment tool, the Test of Basic Science Process Skills, digital photography of plate waste, PolarActive accelerometers, anthropometrics, a parent questionnaire, and the School and Community Actions for Nutrition survey.
ANALYSIS: Evaluation will include quantitative and qualitative measures. Quantitative data will use paired t, chi-square, and Mann-Whitney U tests and regression modeling using P = .05 to determine statistical significance.
|Alternate Journal||J Nutr Educ Behav|