Training of Registered Dietitian Nutritionists to Improve Culinary Skills and Food Literacy
Bibliographic record
Abstract
OBJECTIVE: To understand if a culinary medicine training program increases food literacy, culinary skills, and knowledge among practicing registered dietitian nutritionists (RDN). METHODS: Prepost study design evaluating pilot test of RDN train-the-trainer curriculum from September, 2019 to January, 2020. RESULTS: On average, results indicate an increase in culinary nutrition skills (mean difference, 6.7 ± 4.4; P < 0.001; range, 10-30) and a significant increase in 5 of the 8 food literacy factors. Through process evaluation, RDNs rated the training as extremely useful to their practice (mean, 4.4 ± 0.3). CONCLUSIONS AND IMPLICATIONS: Registered dietitian nutritionist participants increased culinary nutrition skills with statistically significant scores across all individual measures. This study describes an RDN training curriculum in culinary medicine across a diverse group of practicing RDNs from a large county health care system. Culinary medicine shows a promising impact on promoting nutrition skills and confidence; however, it warrants further assessment.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".