Vitamin D deficiency is an indicator of high mortality
Bibliographic record
Abstract
Studies in recent years indicate that vitamin D deficiency has a great impact on the overall health and life expectancy of a person, and vitamin D preparations can be successfully used to prevent and treat a wide range of diseases in adults and children. At the same time, in the Russian Federation, the prevalence of vitamin D deficiency and deficiency reaches 84 %. In this regard, statistical studies of the mortality of the population of Europe (including Russia), the USA and Canada, depending on the prevalence of vitamin D deficiency, have been conducted. The results showed that the prevalence of vitamin D deficiency in the population of these countries is associated with statistically significant directly proportional relationships (p = 0.002‑0.03) with total mortality from non-communicable diseases, mortality from coronary heart disease, stroke, chronic obstructive pulmonary disease, diabetes and COVID-19. In this regard, it seems absolutely necessary to radically change the attitude of the population, authorities, medical workers and the public to the problem of D-vitamin deficiency of the population of the Russian Federation. It is necessary to prepare and implement federal and regional programs for the D-vitaminization of the population of the Russian Federation, including a large-scale information campaign on the benefits of vitamin D, monitoring the level of vitamin D in the most vulnerable categories of the population and their treatment with vitamin D supplements, which will improve the health status and reduce premature mortality of the population of the Russian Federation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".