Dietary intakes of trans fatty acids before the prohibition of partially hydrogenated oils in Canada
Bibliographic record
Abstract
PURPOSE: Canada's public health objective is that ≥ 90% of the population consume <1% of total energy (< 1%En) as trans fatty acids (TFA), in line with World Health Organization recommendations. Our study aimed to estimate usual intakes of total TFA, industrially-produced TFA (i-TFA), and naturally occurring TFA (n-TFA) overall and in subgroups of the population before Canada's 2018 prohibition on the use of partially hydrogenated oils (PHO) in foods. METHODS: Data from 1-2 24-h recalls was available for 19,670 participants in the cross-sectional Canadian Community Health Survey (CCHS)-Nutrition 2015. Usual intakes of total TFA, i-TFA, n-TFA, and mixed TFA (TFA from foods containing both i-TFA and n-TFA) from all foods and beverages were generated according to the National Cancer Institute method, and weighted to represent the population of Canada aged ≥ 1 and within age, sex, income, and self-reported racial groups. RESULTS: For the overall population, the mean usual intake of total TFA was 1.2 g/day (SE:0.02) and represented 0.57%En (SE:0.001). All age-sex groups had mean total TFA intakes <1%En, ranging from 0.52 to 0.71%En. On average, foods containing only n-TFA provided >1/2 of total TFA intake (0.32%En, SE:0.01). The target of ≥ 90% of the population consuming <1%En as TFA had already been achieved before the PHO prohibition in all income, racial, and age-sex groups, except children 1-3 years old, with 86% within target. In that group, foods containing only n-TFA provided >2/3 of total TFA intake (0.48%En, SE:0.02). CONCLUSION: Total TFA intakes in Canada before the PHO prohibition were relatively low, likely due to previous initiatives to reduce i-TFA in foods.
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 | 0.001 | 0.000 |
| 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".