Use of Vitamins, Minerals, and Other Dietary Supplements by 17- and 18-Year-Old Students in Korea
Bibliographic record
Abstract
Various types of dietary supplements (DS) are popularly taken by young individuals. We surveyed 1,190 Korean senior high school third grade students for their DS use, motivational factors for this use, and potential dietary consequences of vitamin/mineral supplement (VMS) use. The use prevalence of DS-including VMS, tonic medicines, manufactured health food supplements, cordial food supplements, and drink rehabilitators-was 54%. VMS were taken most frequently, followed by tonic medicines and manufactured health food supplements. VMS use was highest in individuals who had a significant concern for their overall health and in those from families with a high socioeconomic level and with parental use of DS. Total daily study time of DS users was only slightly longer than that of nonusers. The VMS most frequently used were vitamin C and multivitamins. More than 46% of other DS users, and 58% of VMS users, had increased their intake of supplements during third grade relative to the previous year. VMS users had a more positive view of the potential health benefit of VMS than did nonusers. Vitamin and mineral intakes from VMS occurred over a wide range, with mean intakes typically exceeding the Korean and Canadian-U.S. Recommended Dietary Allowances. For a significant number of individuals, intakes of vitamin A, niacin, folic acid, vitamin C, calcium, iron, and zinc exceeded the Tolerable Upper Intake Levels. Given the widespread use of DS by older teenagers, the contribution of these supplements to their overall health and well-being is a subject that clearly merits additional study.
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".