Population Status of Iodine and Its Potential Effects on Thyroid Function and Autoimmunity in Southwestern Colombia
Bibliographic record
Abstract
Background: This study aimed to investigate the iodine status and its potential effects on thyroid function and autoimmunity in Colombia. Methods: This was a cross-sectional study, in population of urban and rural areas, from four geographic regions in the Department of Cauca, Colombia; the participants were 412 healthy adults, a third from rural areas. The following variables were evaluated: median urinary iodine concentration (mUIC), serum thyrotropin (TSH), clinical and ultrasonographic (US) goiter assessment, and anti-thyroid peroxidase (anti-TPO), anti-thyroglobulin (anti-Tg) and anti-TSH receptor (TRAb) concentrations. Results: The mUIC levels were 153.9 µg/L (interquartile range (IQR): 220.06); 30% had "excessive" mUIC and a quarter had "low" mUIC. The positivity of anti-Tg and anti-TPO was higher in subjects > 60 years (P = 0.017 and P ≤ 0.001, respectively). A high prevalence of "low" mUIC was found in the "low" socioeconomic status (SES) and of "more than adequate or excessive" in the "high" SES when compared with the "medium" SES (P ≤ 0.001). The prevalence of goiter by physical examination was 41.7% and 34% by US. The highest mUIC levels were significantly more prevalent in women, in subjects with elevated TSH and in those from rural areas. Conclusions: The population status of iodine in Colombia is U-shaped; the high prevalence of goiter, hypothyroidism, and thyroid autoimmunity can be explained by excess or deficit of iodine and by probable environmental goitrogens.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".