An Experiential Cooking and Nutrition Education Program Increases Cooking Self-Efficacy and Vegetable Consumption in Children in Grades 3–8
Bibliographic record
Abstract
OBJECTIVE: Evaluate the effect of a community-based, experiential cooking and nutrition education program on consumption of fruits and vegetables and associated intermediate outcomes in students from low-income families. DESIGN: Quasi-experimental program evaluation by pre-post survey of participating students and their parents. SETTING: Underserved elementary and middle schools in Chicago. PARTICIPANTS: Students (n = 271; 65% girls, 44% Hispanic, 32% African American; 94% eligible for free/reduced price lunch) in grades 3-8 selected by school staff to participate by variable inclusion criteria. 59% of students who applied returned both pre- and post-surveys. INTERVENTION(S): Ten-week (2 h/wk) chef-instructor-led program held in cafeteria kitchens after school. MAIN OUTCOME MEASURE(S): Changes in student nutrition knowledge, cooking self-efficacy, fruit and vegetable liking and consumption, and communication to family about healthy eating. ANALYSIS: Changes from beginning to end of program were analyzed with paired t test. Results were considered significant at P < .05. RESULTS: Increased nutrition knowledge score from 0.6 to 0.8, cooking self-efficacy score from 3.2 to 3.6, and vegetable consumption score from 2.2 to 2.4 (all P < .05). Increased score for communication about healthy eating (4.1 to 4.4; P < .05) 6 months after the end of the course. CONCLUSIONS AND IMPLICATIONS: Experiential cooking and nutrition education programs led by chef-instructors may be effective ways to improve nutrition in low-income communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".