Changing Dietary Habits of Alberta Nutrition Students Enrolled in a Travel Study Program in Italy
Bibliographic record
Abstract
PURPOSE: This study describes dietary changes among university students who completed a travel study program. METHODS: Seventeen undergraduate nutrition students travelled from Edmonton to Italy for 6 weeks to take 2 courses on the Mediterranean diet. In both locations students completed a 24-h dietary recall and a Food Frequency Questionnaire to assess their Mediterranean Diet Quality Index Score (MDQIS). A MDQIS of 48 indicates perfect adherence to eating patterns of the Traditional Healthy Mediterranean Diet Pyramid (THMDP). RESULTS: While in Italy students altered their diets in positive ways (increased consumption of fish and seafood (P = 0.002), wine (P < 0.0001), and olive oil (P = 0.001)) and negative ways (increased consumption of sweets (P = 0.027), poultry (P = 0.001), and meat (P = 0.049)) relative to the THMDP. Students had a significant increase in the percentage of energy from polyunsaturated and monounsaturated fatty acids and alcohol. The MDQIS was low in Edmonton (21.9 ± 3.7) and Italy (22.9 ± 3.9). CONCLUSIONS: The overall dietary pattern of students did not adhere to the THMDP. Education about the THMDP and living in Italy for 6 weeks was insufficient to change students' dietary patterns to one characterized as traditional Mediterranean. The findings highlight the challenges of implementing dietary changes even with nutrition education and increased food access.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".