Dietary intakes and plasma concentrations of tocopherols of 2‐6 y old children in Republic of Korea
Bibliographic record
Abstract
To determine dietary intakes and plasma concentrations of tocopherols and to evaluate vitamin E status of Korean children, three consecutive 24-h food recalls and fasting blood samples were obtained from healthy children (n=131, 66 girls and 65 boys), aged 2–6 y, living in Kwangju, Republic of Korea. Twenty-one subjects were aged 2 y; 25, 3 y; 31, 4 y; 32, 5 y; and 22, 6 y. Dietary kcal, total fat, monounsaturated and polyunsaturated fat, but not saturated fat, were significantly different (P<0.05) among the age groups, but not by gender. Alpha-tocopherol intakes, but not gamma- and delta-tocopherol, for the 3 y age group were significantly different (P<0.05) from those of other groups. Sixty-seven percent consumed less than the Adequate Intakes for vitamin E of the Republic of Korea. Seventy-six percent of the subjects had alpha-tocopherol intakes less than the US/Canadian Estimated Average Requirements for vitamin E. Plasma alpha-tocopherol concentrations, but not gamma- or delta- tocopherol, were significantly higher (P<0.05) for the 2 y group as compared to other age groups; plasma tocopherol concentrations were similar by gender. Two-thirds of the subjects had plasma alpha-tocopherol concentrations less than 12 μmol/L, which is indicative of vitamin E inadequacy. Many of these Korean children had inadequate vitamin E status. Supported by the University of Nebraska Agricultural Research Division.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".