A Comprehensive Review on the Prevalence of Vitamin D Deficiency among School- Aged Children around the World
Bibliographic record
Abstract
Vitamin D is an essential compound for growth and development throughout the human lifecycle. The deficiency of vitamin D is a major health problem worldwide in all age groups. It maintains normal level of calcium, Phosphorus and provide protection from the diseases and individual’s risk of developing, diabetes, multiple sclerosis, lupus, rheumatoid arthritis, heart failure, strokes, hypertension, peripheral vascular disease, coronary heart disease, muscle weakness, respiratory tract infection, skeletal deformities and others. Vitamin D deficiency is more prevalent in countries such as Saudi Arabia, Turkey, Korea, Japan, Canada, England, China, India and Australia. About 90% of the Vitamin D required for the body function is sourced from sunlight throughout the world. Upon sun exposure body synthesizes pre-vitamin D in the skin, which is then converted into active Vitamin D in the liver and kidney. In addition, the dietary sources including fish, cod liver oil, egg yolk, milk products are considered as rich sources of Vitamin D. However, an adequate amount of Vitamin D supplementation through dietary sources are not possible; therefore, sunlight exposure along with Vitamin D supplements proportionate to the age for adult and children are suggested by the medical care professionals to overcome Vitamin D deficiency. This review aims to provide an overview of Vitamin D level in various ethnic and geographical origins, including prevalence, causal factors and possible dietary & supplementary interventions in practice to combat the Vitamin D deficiency. Key words: Vitamin D deficiency, Prevalence, Fortification, Sources, Functions, Health risks, Worldwide.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".