ABSTRACT
OBJECTIVE: To explore Head Start teachers' use and integration of food-based learning (FBL) with science learning in the Head Start classroom. DESIGN: Phenomenological approach using in-depth semistructured telephone interviews. SETTING: North Carolina Head Start preschools. PARTICIPANTS: Thirty-five Head Start lead and assistant teachers. PHENOMENON OF INTEREST: All interviews were transcribed verbatim. Authors coded interview data for emergent themes. ANALYSIS: Eleven primary themes were identified during analysis and inductively organized using the Systems Thinking Iceberg Model. RESULTS: Teachers described most frequently using FBL during mealtimes. Teachers stated they felt successful when children were engaged and willing to try a new food. However, they struggled to connect food to science concepts. Teachers reported several motivators (eg, improving health) and barriers (eg, food waste) to integrating FBL. Teachers prioritized preparing children for kindergarten, but most teachers did not see how FBL could help them achieve this goal. CONCLUSIONS AND IMPLICATIONS: Head Start teacher professional development programs could impact all 4 levels of the Systems Thinking Model to improve teachers' perceptions, underlying structures, and mental models regarding integrative FBL. Additional research is warranted to investigate the adoption, implementation, and potential impact of FBL on academic outcomes.
Subject(s)
Food , Refuse Disposal , Child , Child, Preschool , Humans , Schools , North Carolina , Motivation , School TeachersABSTRACT
Childcare garden interventions may be an effective strategy to increase fruit and vegetable (FV) consumption and physical activity among young children. The objective of this paper is to describe the research design, protocol, outcome measures, and baseline characteristics of participants in the Childcare Outdoor Learning Environments as Active Food Systems ("COLEAFS") study, a cluster randomized controlled trial (RCT) examining the effect of a garden intervention on outcomes related to diet and physical activity. Fifteen childcare centers in low-income areas were randomly assigned to intervention (to receive garden intervention in Year 1), waitlist control (to receive garden intervention in Year 2), and control group (no intervention). The garden intervention comprised six raised beds planted with warm-season vegetables and fruits, and a garden activity booklet presenting 12 gardening activities. FV knowledge and FV liking were measured using a tablet-enabled protocol. FV consumption was measured by weighing FV before and after a snack session. Physical activity was measured using Actigraph GT3x+ worn by children for three consecutive days while at the childcare center. Of the 543 eligible children from the 15 childcare centers, 250 children aged 3-5 years received parental consent, assented, and participated in baseline data collection. By employing an RCT to examine the effect of a garden intervention on diet and physical activity among young children attending childcare centers within low-income communities, this study offers compelling research design and methods, addresses a critical gap in the empirical literature, and is a step toward evidence-based regulations to promote early childhood healthy habits.
Subject(s)
Child Care , Gardening , Child , Child, Preschool , Fruit , Gardens , Health Promotion , Humans , Research Design , VegetablesABSTRACT
OBJECTIVE: The goal of the study was to assess the validity and feasibility of a digital diet estimation method for use with preschool children in Head Start. METHODS: Preschool children and their caregivers participated in validation (n = 22) and feasibility (n=24) pilot studies. Validity was determined in the metabolic research unit using actual gram weight measurements as the reference method. Feasibility of using the digital diet estimation method was determined in Head Start and in the home by assessing 3 separate lunch and dinner meals. RESULTS: The average correlation between estimated weights and actual weights was 0.96 (P < .001), and the average mean difference was 10.6 g. The digital diet estimates were 5% lower than the actual weights. CONCLUSIONS AND IMPLICATIONS: The digital diet estimation method may be a valid and feasible method for assessing food intake of preschool children.
