Trends in the consumption of conventional dairy milk and plant‐based beverages and their contribution to nutrient intake among Canadians
Bibliographic record
Abstract
BACKGROUND: Current evidence suggests a shift from conventional dairy milk to plant-based beverages (PBBs) for a number of lifestyles and perceived health-related reasons. METHODS: Using nationally representative cross-sectional data from the 2004 and 2015 Canadian Community Healthy Surveys, the main objectives of the present study were to (i) examine the trend in the proportion of Canadians (≥ 2 years) consuming plain milk and PBBs and (ii) determine the percentage contribution of plain milk and PBBs to daily energy and nutrient intakes. RESULTS: From 2004 to 2015, the percentage of Canadians consuming plain milk significantly decreased from 70.2% to 56.1%, whereas the percentage of PBBs consumers significantly increased from 1.8% to 3.0%. In 2015, plain milk provided almost 50% of the daily vitamin D intake, over 30% of calcium and vitamin B12, and over 20% of vitamin A and riboflavin among plain milk consumers. The top five nutrients provided by PBBs among PBBs consumers were vitamin D, calcium, vitamin B12, vitamin A and riboflavin. Although plain milk was a major contributor to saturated fat (14.5%) and protein (12.5%) intake among plain milk consumers, PBBs provided only 0.2% of saturated fat and 1.4% of protein intake in the diet of PBBs consumers. CONCLUSIONS: The consumption of plain milk by Canadians has declined and the consumption of PBBs has increased, which may differentially affect the nutritional profile of the diet.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".