Effectiveness of School-based Nutrition Education Programs that Include Environmental Sustainability Components, on Fruit and Vegetable Consumption of 5–12YearOld Children: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: This systematic review examined the effectiveness of interventions of school-based nutrition education programs that included environmental sustainability components in addressing fruit and vegetable (F&V) consumption and/or variety among children (aged 5-12 years). METHODS: The systematic search included MEDLINE, CINAHL, ERIC, Global Health, PsychINFO, EMBASE, the Cochrane Library, and 3 clinical trial registries. Searches between January 1, 1987, and February 22, 2022, found 18 eligible studies. The Evidence Project risk-of-bias (RoB) tool was used for quality assessment. RESULTS: Sixteen studies had moderate-to-high RoB, and 2 had low RoB. Eight studies reported significant increases in F&V consumption and/or variety. Programs that included environmental sustainability experiential components (i.e., gardening, tasting F&Vs, and cooking activities) and were underpinned by a theoretical framework were more likely to report significant outcomes than studies that reported no effects. CONCLUSIONS AND IMPLICATIONS: This review underscores the benefits of school-based nutrition education programs that incorporate experiential components of environmental sustainability. These findings could support future researchers in designing strategies to improve children's F&V consumption by incorporating the experiential components of environmental sustainability into nutrition programs. In addition, conducting process evaluations to gather teachers' input to overcome common implementation barriers, performing long-term follow-up assessments to monitor behavioral changes over time, and implementing school policies to support these programs could also be beneficial. This review was registered with the International Prospective Register of Systematic Reviews (CRD42020184727).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".