Characterizing Trends in the Dietary Patterns of Canadians: Evidence from Two Cycles of the Canadian Community Health Survey—Nutrition
Bibliographic record
Abstract
Healthy dietary patterns have been associated with reduced risk of non-communicable diseases. The overall goals of this thesis were to examine adherence to healthy dietary patterns using nationally-representative Canadian data and to determine the association between these trends and obesity among Canadian adults. In the first study, the likelihood of being obese was compared between samples from the Canadian Community Health Survey-Nutrition (CCHS) 2004 and CCHS 2015; results suggested that Canadian adults who did not adhere to a healthy dietary pattern had over 2x greater odds of obesity than those who did adhere. In the second study, an energy-dense, low-fiber and high fat dietary pattern was identified in CCHS 2015; results suggest key foods to focus on in policy which contribute to an “obesogenic” dietary pattern. The findings presented in this thesis highlight the importance of examining healthy dietary patterns and their association with health outcomes among the Canadian population.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.013 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".