Sources of<i>Trans</i>and Saturated Fatty Acids: In the Diets of Vancouver Children
Bibliographic record
Abstract
PURPOSE: Amounts and sources of trans fatty acids (TFA) and saturated fatty acids (SFA) were examined in the diets of children aged five to six years after changes in TFA in Canadian foods. METHODS: Dietary intake was assessed for 100 Vancouver children, using three 24-hour recalls during parental interviews. Trans fatty acid and SFA intakes and food sources were determined for each child. RESULTS: The TFA intake was 0.71 ± 0.31% of energy, and 12% of children consumed over 1% of energy from TFA. Saturated fatty acids intakes were 12.5 ± 3.39% of energy, and 81% of the children consumed more than 10% of energy from SFA. Monounsaturated and polyunsaturated fatty acid intakes were 12.0 ± 3.0% and 5.79 ± 2.16% of energy, respectively. Major sources of TFA were dairy products, fast foods, and bakery products. Major sources of SFA were dairy products, processed foods, fast food, and bakery products. CONCLUSIONS: The TFA intakes of children aged five to six years have decreased since 2004 to a 95th percentile intake of 1.28% of energy, but more than 80% of children consume over 10% of energy from SFA. Removing TFA from snacks and bakery products would decrease the highest TFA intakes to 1% of energy. This study suggests that increased efforts by industry or educational guidance for parents is required to enable selection of foods lower in TFA, and that greater emphasis is needed on SFA.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".