Health Behaviours and Awareness of Canada’s Food Guide: A Population-based Study
Bibliographic record
Abstract
PURPOSE: Lifestyle behaviours among adults reporting awareness of Canada's Food Guide (CFG) are described. METHODS: Data from a cross-sectional survey of adults from Alberta were used to estimate the prevalence of reported health behaviours among respondents aware of the CFG. RESULTS: Respondents (n = 1044) reported general awareness of CFG (mean age 50.3 years; 54.2% female) of whom 82.2% reported awareness of specific CFG recommendations. Respondents reported frequently reading food labels (>58.0%), reading the number of calories (45.5%), the amount of sodium (49.5%), the amount of fat (46.7%), and the type of fat (45.5%) on the food label. Most respondents (90.0%) reported frequently selecting foods to promote health. Approximately one-third of the respondents (35.8%) reported frequently consuming ≥5 portions of vegetables and fruit per day and regularly participating in physical activity (55.3%). Body weight was perceived as healthy by 63.4% of the respondents. Most engaged in 2 health behaviours frequently. Adjusting for important socio-demographic characteristics, those who reported frequently consuming ≥5 portions of vegetables and fruit per day were more likely to engage in a second health behaviour outlined in CGF (OR: 23.6, 95% CI (16.2-34.4)). CONCLUSION: Awareness of CFG did not translate to positive health behaviours. More proactive population level strategies to support specific health behaviours as outlined in CFG might be warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| 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 | 0.000 |
| 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".