<i>Le stress perçu et son influence</i>sur le comportement alimentaire des étudiants de l’Université de Moncton, Campus de Moncton
Bibliographic record
Abstract
PURPOSE: Measure and analyze the link between perceived stress and eating behaviours of first (St1) and fourth-year students (St4) at the University of Moncton at the beginning (T1) and end (T2) of an academic trimester. METHODS: Ninety-four subjects from various university programs participated in the study. The Perceived Stress scale was used to measure perceived stress. A three-day food record and a food frequency questionnaire were used to measure food consumption and its frequency. RESULTS: At T1, both first and fourth-year students show low levels of perceived stress. At T2, the perceived stress levels of St4 increase significantly (22,3 +/- 1,4; p =0,005) As stress increases, dietary profiles of students, measured according to the level of conformity to the Canada's Food Guide for Healthy Eating, show an increased consumption of milk and milk products for St1, T1 (p=0,05) and of breads and cereals for St4, T2 (p=0,02). Significant negative correlations were found among St4 between perceived stress and thiamine(r= -0,48; p=0,006) and zinc (r= -0,42; p=0,02). ingestion. No other correlations with perceived stress were found with either energy or other nutrient intakes. CONCLUSION: These results demonstrate the importance of intervening within the university student population and implementing information sessions on stress management and healthy eating behaviours among university students.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".