The frequency of vitamin D insufficiency in healthy female adolescents
Bibliographic record
Abstract
AIM: To establish the frequency and causes of vitamin D insufficiency in healthy female adolescents in Izmir, Turkey. METHODS: 64 adolescents from a low--(Ikinci Inönü) and a high--(Ilica) socio-economic settlement were included. Parents' monthly income was classified as low, middle and high. The blood samples were drawn at the end of the summer and winter periods. RESULTS: Vitamin D insufficiency percentages for the end-of-winter period were 59.4% in Ikinci Inönü and 15.6% in Ilica, and for the end of summer 25% and 15.6%, respectively. Calcidiol levels of cases from Ikinci Inönü were found to be lower compared with the levels of cases from Ilica (34+/-15 vs 59+/-24 nmol/l for end of winter, p=0.000; 51+/-22 vs 65+/-28 nmol/l for end of summer, p=0.03). Calcidiol levels of cases whose parental monthly income was low and whose mothers were illiterate were significantly lower than the others (48+/-18 vs 65+/-29 nmol/l for end of summer, p=0.01; 33+/-16 vs 56+/-23 nmol/l for end of winter, p=0.000; 45+/-13 vs 64+/-29 nmol/l for end of summer, p=0.007; 36+/-17 vs 51+/-25 nmol/l for end of winter, p=0.02; respectively). CONCLUSION: Vitamin D insufficiency was frequent, especially in the end-of-winter period. Basic risk factors were low socio-economic status, illiteracy of mothers and low calcium intake.
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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 | 0.000 |
| 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) | 0.001 | 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".